Initial commit: grid-based multi-photon reconstruction

Code, configs, charge LUTs, best.pth and evaluation records for each
training run, the knife-edge / Siemens-star / XRF notebooks with
outputs, and the overnight run reports. Epoch checkpoints, inference
results and HTML exports stay local (see .gitignore).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
xie_x1andClaude Opus 5.5 committed 2026-10-20 07:36:49 +02:00
commit 0f9a3f496f
222 files changed
+53227

No files matched your search

Binary file not shown.
Binary file not shown.

After

Width:  |  Height:  |  Size: 134 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 246 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 70 KiB

@@ -0,0 +1,56 @@
experiment:
name: 12keV_Moench040
results_dir: Results
data:
folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/12keV_Moench040_150V
train_shards:
- 0
- 11
val_shards:
- 0
- 1
max_train_frames: null
max_val_frames: 8000
input_scale: 12.0
energy_scale: 12.0
augment: true
batch_size_train: 256
batch_size_val: 512
num_workers: 8
model:
channels:
- 32
- 64
- 64
- 64
predict_energy: true
norm: none
prior_prob: 0.01
loss:
w_obj: 1.0
w_off: 1.0
w_ene: 0.1
focal_alpha: 0.25
focal_gamma: 2.0
smooth_l1_beta_offset: 0.01
smooth_l1_beta_energy: 0.02
training:
epochs: 120
lr: 0.001
weight_decay: 0.0
scheduler_factor: 0.5
scheduler_patience: 4
amp: true
seed: 0
checkpoint_epochs:
- 20
- 40
- 60
- 80
- 100
- 120
eval:
threshold: 0.5
nms_kernel: 3
match_radius: 1.0
pixel_size_um: 25.0
@@ -0,0 +1,707 @@
{
"0.5%": {
"occupancy": 0.005,
"summary": {
"n_true": 23133,
"n_pred": 21671,
"n_match": 21662,
"efficiency": 0.9364111874810876,
"purity": 0.9995846984449264,
"f1": 0.9669672350682975,
"rms_x_um": 0.8069253991016199,
"rms_y_um": 0.8141111360845683,
"rms_1d_um": 0.8106481995439455,
"sigma68_1d_um": 0.5971485185623169,
"bias_x_um": 0.029450980219833518,
"bias_y_um": 0.05757446632899468,
"energy_bias_keV": 0.00028054833731353256,
"energy_rms_keV": 0.07483918327806448,
"energy_sigma68_keV": 0.07464508714675899,
"subpixel_nonuniformity": 0.1002893136346688
},
"roc": [
[
0.05,
0.9763171443281277,
0.9989464442493415,
0.8159768304327072
],
[
0.1,
0.9763171443281277,
0.9989464442493415,
0.8159768304327072
],
[
0.2,
0.9763171443281277,
0.9989464442493415,
0.8159768304327072
],
[
0.3,
0.9763171443281277,
0.9989464442493415,
0.8159768304327072
],
[
0.4,
0.9733996910931869,
0.9989432898908066,
0.8167144888609401
],
[
0.5,
0.9359876437274756,
0.999633431085044,
0.8222016542994832
],
[
0.6,
0.8948000686459585,
0.9998082454458294,
0.8305491713874892
],
[
0.7,
0.8603054745151879,
1.0,
0.8374268117182482
],
[
0.8,
0.8237515016303415,
1.0,
0.8467556683498757
],
[
0.9,
0.7707224987128882,
1.0,
0.8538555501900706
],
[
0.95,
0.719238029860992,
1.0,
0.8661173888491417
],
[
0.98,
0.632744122189806,
1.0,
0.8919477349473682
]
],
"pair": {
"edges": [
0.0,
0.5,
1.0,
1.5,
2.0,
2.5,
3.0,
4.0,
6.0
],
"n_true": [
30.0,
72.0,
110.0,
133.0,
166.0,
214.0,
425.0,
974.0,
3392.0
],
"n_match": [
15.0,
36.0,
68.0,
105.0,
151.0,
207.0,
405.0,
927.0,
3243.0
],
"efficiency": [
0.5,
0.5,
0.6181818181818182,
0.7894736842105263,
0.9096385542168675,
0.9672897196261683,
0.9529411764705882,
0.9517453798767967,
0.9560731132075472
]
}
},
"1%": {
"occupancy": 0.01,
"summary": {
"n_true": 46085,
"n_pred": 42138,
"n_match": 42125,
"efficiency": 0.9140718238038408,
"purity": 0.9996914898666287,
"f1": 0.9549663919839497,
"rms_x_um": 0.8771180639142474,
"rms_y_um": 0.8505284150844781,
"rms_1d_um": 0.8640159984688428,
"sigma68_1d_um": 0.6083438944816589,
"bias_x_um": 0.03757140162436828,
"bias_y_um": 0.06257573362627794,
"energy_bias_keV": 0.0010086130883644171,
"energy_rms_keV": 0.07440421101232769,
"energy_sigma68_keV": 0.07450108985900879,
"subpixel_nonuniformity": 0.10732684673233057
},
"roc": [
[
0.05,
0.9549361812972128,
0.9991823385118561,
0.8634292507991568
],
[
0.1,
0.9549361812972128,
0.9991823385118561,
0.8634292507991568
],
[
0.2,
0.9549361812972128,
0.9991823385118561,
0.8634292507991568
],
[
0.3,
0.9549361812972128,
0.9991823385118561,
0.8634292507991568
],
[
0.4,
0.9512025701137449,
0.9992702727355651,
0.8634067361783272
],
[
0.5,
0.912824520274377,
0.9997147204260175,
0.8694773749521033
],
[
0.6,
0.8734045324303203,
0.9999005964214712,
0.8792576600557114
],
[
0.7,
0.8391942346097074,
1.0,
0.8867004362713521
],
[
0.8,
0.8051575931232091,
1.0,
0.8950094142285888
],
[
0.9,
0.7541026308934619,
1.0,
0.9060466598739252
],
[
0.95,
0.6986194321437874,
1.0,
0.9245163116881274
],
[
0.98,
0.6051054962229747,
1.0,
0.9456982525459215
]
],
"pair": {
"edges": [
0.0,
0.5,
1.0,
1.5,
2.0,
2.5,
3.0,
4.0,
6.0
],
"n_true": [
70.0,
257.0,
429.0,
549.0,
633.0,
710.0,
1367.0,
2724.0,
4740.0
],
"n_match": [
34.0,
123.0,
238.0,
412.0,
592.0,
676.0,
1313.0,
2591.0,
4496.0
],
"efficiency": [
0.4857142857142857,
0.4785992217898833,
0.5547785547785548,
0.7504553734061931,
0.9352290679304898,
0.952112676056338,
0.9604974396488661,
0.9511747430249633,
0.9485232067510548
]
}
},
"2%": {
"occupancy": 0.02,
"summary": {
"n_true": 91745,
"n_pred": 80535,
"n_match": 80505,
"efficiency": 0.8774865115265137,
"purity": 0.9996274911529148,
"f1": 0.934583236591595,
"rms_x_um": 0.9062968560920226,
"rms_y_um": 0.9036639447537416,
"rms_1d_um": 0.9050500337729438,
"sigma68_1d_um": 0.6241321563720703,
"bias_x_um": 0.037169365266577575,
"bias_y_um": 0.05946783403174254,
"energy_bias_keV": 0.0007606992869042187,
"energy_rms_keV": 0.07450746470698477,
"energy_sigma68_keV": 0.07439136505126953,
"subpixel_nonuniformity": 0.136064844482477
},
"roc": [
[
0.05,
0.9168807419340793,
0.9989563567362428,
0.8890069983133503
],
[
0.1,
0.9168807419340793,
0.9989563567362428,
0.8890069983133503
],
[
0.2,
0.9168807419340793,
0.9989563567362428,
0.8890069983133503
],
[
0.3,
0.9168807419340793,
0.9989563567362428,
0.8890069983133503
],
[
0.4,
0.9139635128662864,
0.9990956687291765,
0.8897402274953791
],
[
0.5,
0.8770409718291462,
0.9996526054590571,
0.8984772887356761
],
[
0.6,
0.8434710671833501,
0.9999483817684406,
0.9070232836914548
],
[
0.7,
0.8102930291287499,
1.0,
0.9146903664251781
],
[
0.8,
0.7783341315800931,
1.0,
0.9218143778572377
],
[
0.9,
0.7249096529803631,
1.0,
0.9316294201788095
],
[
0.95,
0.6720947446336047,
1.0,
0.9400250797214569
],
[
0.98,
0.5827056211085471,
1.0,
0.9581336780761671
]
],
"pair": {
"edges": [
0.0,
0.5,
1.0,
1.5,
2.0,
2.5,
3.0,
4.0,
6.0
],
"n_true": [
371.0,
952.0,
1465.0,
1900.0,
2135.0,
2119.0,
4094.0,
5721.0,
4210.0
],
"n_match": [
176.0,
446.0,
809.0,
1439.0,
1969.0,
2013.0,
3863.0,
5437.0,
3991.0
],
"efficiency": [
0.4743935309973046,
0.4684873949579832,
0.5522184300341297,
0.7573684210526316,
0.922248243559719,
0.9499764039641341,
0.9435759648265755,
0.950358328963468,
0.9479809976247031
]
}
},
"5%": {
"occupancy": 0.05,
"summary": {
"n_true": 229596,
"n_pred": 178693,
"n_match": 178615,
"efficiency": 0.7779534486663531,
"purity": 0.9995634971711259,
"f1": 0.8749439735089607,
"rms_x_um": 1.099822974575873,
"rms_y_um": 1.0991446082401635,
"rms_1d_um": 1.0994958355148743,
"sigma68_1d_um": 0.6926536560058594,
"bias_x_um": 0.043093383777743244,
"bias_y_um": 0.053363671092027595,
"energy_bias_keV": 0.00043349460802242964,
"energy_rms_keV": 0.07511608523801999,
"energy_sigma68_keV": 0.07507779865264892,
"subpixel_nonuniformity": 0.19363629313163472
},
"roc": [
[
0.05,
0.8082587151177953,
0.9990973371445765,
1.083904970790536
],
[
0.1,
0.8082587151177953,
0.9990973371445765,
1.083904970790536
],
[
0.2,
0.8082587151177953,
0.9990973371445765,
1.083904970790536
],
[
0.3,
0.8082065548117883,
0.9990972789408072,
1.0839295375488778
],
[
0.4,
0.8049378423020082,
0.9991798679155696,
1.0843313360801736
],
[
0.5,
0.7783013127010345,
0.9995757318625371,
1.0927949851904588
],
[
0.6,
0.7494218899417543,
0.99990720764609,
1.1004481450175467
],
[
0.7,
0.7208206554811788,
1.0,
1.103618542638603
],
[
0.8,
0.6899243675562896,
1.0,
1.1099255135872232
],
[
0.9,
0.6402851430061723,
1.0,
1.1104694596707287
],
[
0.95,
0.5873424324089368,
1.0,
1.112976807792225
],
[
0.98,
0.4996783447796227,
1.0,
1.1147969880866666
]
],
"pair": {
"edges": [
0.0,
0.5,
1.0,
1.5,
2.0,
2.5,
3.0,
4.0,
6.0
],
"n_true": [
2071.0,
5881.0,
8150.0,
9016.0,
8526.0,
7056.0,
9418.0,
6208.0,
1189.0
],
"n_match": [
879.0,
2570.0,
4252.0,
6749.0,
7847.0,
6650.0,
8874.0,
5838.0,
1105.0
],
"efficiency": [
0.4244326412361178,
0.437000510117327,
0.5217177914110429,
0.7485581188997338,
0.9203612479474549,
0.9424603174603174,
0.9422382671480144,
0.9403994845360825,
0.9293523969722456
]
}
},
"10%": {
"occupancy": 0.1,
"summary": {
"n_true": 459644,
"n_pred": 296422,
"n_match": 296313,
"efficiency": 0.6446576045809366,
"purity": 0.9996322810047837,
"f1": 0.7838283959336884,
"rms_x_um": 1.504689585816301,
"rms_y_um": 1.5027888173805302,
"rms_1d_um": 1.503747791841089,
"sigma68_1d_um": 0.8647918701171875,
"bias_x_um": 0.05110033320099986,
"bias_y_um": 0.041113979922734765,
"energy_bias_keV": 0.0010869613583709497,
"energy_rms_keV": 0.07619505041448714,
"energy_sigma68_keV": 0.075958251953125,
"subpixel_nonuniformity": 0.3057987053821632
},
"roc": [
[
0.05,
0.6654160478709084,
0.9992044758017189,
1.4912192081439517
],
[
0.1,
0.6654160478709084,
0.9992044758017189,
1.4912192081439517
],
[
0.2,
0.6654160478709084,
0.9992044758017189,
1.4912192081439517
],
[
0.3,
0.6653639387544185,
0.999204413548446,
1.491247660189543
],
[
0.4,
0.6626282101386971,
0.9992403902822343,
1.4930164576670335
],
[
0.5,
0.6446766195079162,
0.9997171755262555,
1.5047942652142676
],
[
0.6,
0.6240761487888973,
0.9999165089613715,
1.508506729948408
],
[
0.7,
0.6014868467905127,
0.9999711228865562,
1.4978212257870458
],
[
0.8,
0.5729484206595277,
0.9999848420542048,
1.478323164043431
],
[
0.9,
0.5211606437212857,
1.0,
1.4475402949684142
],
[
0.95,
0.46470041600444667,
1.0,
1.4131163405725333
],
[
0.98,
0.3782427068949046,
1.0,
1.3692874407279128
]
],
"pair": {
"edges": [
0.0,
0.5,
1.0,
1.5,
2.0,
2.5,
3.0,
4.0,
6.0
],
"n_true": [
8521.0,
21685.0,
25993.0,
22696.0,
16020.0,
9724.0,
8002.0,
2362.0,
140.0
],
"n_match": [
3267.0,
8495.0,
12545.0,
16713.0,
14588.0,
9070.0,
7340.0,
2093.0,
120.0
],
"efficiency": [
0.3834057035559207,
0.39174544616094076,
0.4826299388296849,
0.7363852661261896,
0.9106117353308365,
0.932743726861374,
0.9172706823294177,
0.8861134631668078,
0.8571428571428571
]
}
}
}
@@ -0,0 +1,734 @@
{
"train_loss": [
0.23993744641510628,
0.13196626334205636,
0.11608033124735159,
0.10756625584152744,
0.10190933465703193,
0.09787552357674154,
0.09481275513402426,
0.09245659170817414,
0.0903575554362865,
0.08874685361806459,
0.0873924339768599,
0.08617739734044069,
0.08512466338839832,
0.08428180176394981,
0.08355168168102028,
0.08280495518426885,
0.08215654689099007,
0.08170365822067129,
0.08109293564788306,
0.08064124489097738,
0.08023965582172034,
0.0798451739940852,
0.07947116269627656,
0.0790973027398772,
0.07883267661232576,
0.078509494558915,
0.07818648193663696,
0.07799587040948766,
0.0776730109097609,
0.07739392428667848,
0.07722281022126545,
0.07699475143196234,
0.07687328443360558,
0.07667010834911717,
0.07647448817910099,
0.0763024338376942,
0.07610494880405282,
0.07602332044977261,
0.07588070763022567,
0.07576910217104751,
0.07558895031282462,
0.07540235324119682,
0.07532636232857007,
0.07520397323140976,
0.07502932811559455,
0.07500694960896462,
0.07489564324646647,
0.07470230517258894,
0.07468266000329113,
0.07455802075127527,
0.07448664903958808,
0.07439325880279155,
0.07426496459173164,
0.07423872732842618,
0.07412104704591228,
0.07319306893117146,
0.07315842396199003,
0.07315353711265891,
0.07308529504239877,
0.07304423302412033,
0.07295355107734654,
0.07292400597094727,
0.07291898736481733,
0.0728418159446696,
0.07279567202610801,
0.0727923296256788,
0.07273335824049651,
0.07272118880247484,
0.07269519763097183,
0.0726498324531374,
0.07262815370471908,
0.07259573691237316,
0.07256286855282117,
0.07255131185150197,
0.07250253140544688,
0.07249244097361825,
0.07245224617270549,
0.07246539340202429,
0.07238171729105132,
0.07233716793986497,
0.07235877035362616,
0.07234092938575572,
0.07226683528598879,
0.0722777515474862,
0.07225812967616187,
0.07224044434352517,
0.07217869057599356,
0.0722048584224702,
0.07215245076819952,
0.07215746614600958,
0.0721534180316752,
0.07210610139808889,
0.07205967306931729,
0.07205103477711611,
0.07200603136989579,
0.071978636726085,
0.072040851431697,
0.07196603934881908,
0.07196702520296439,
0.07194990338707938,
0.07192121945488542,
0.07187795462514192,
0.07188086827129539,
0.07186853657441816,
0.07180670765700692,
0.07186382735424388,
0.07178202015422325,
0.0717921020699667,
0.07176873955394568,
0.07174791631029408,
0.07173027876633335,
0.07173992375363153,
0.07170136809237738,
0.0711954400627183,
0.0711862329262425,
0.0711553716274692,
0.07116745289101035,
0.07114298475494761,
0.07113313009383966,
0.07113049572916143
],
"val_loss": [
0.1447843129634857,
0.12180081671476364,
0.11107439863681794,
0.10671789038181305,
0.10051913315057755,
0.09682093042135238,
0.09403118115663528,
0.0919740365743637,
0.08973157322406769,
0.0881431828737259,
0.08681886410713195,
0.08582492661476135,
0.08494884830713272,
0.08402856802940369,
0.08506861454248428,
0.08367731243371963,
0.08199280154705048,
0.08202545255422593,
0.08186581325531006,
0.08074425691366195,
0.08054110908508301,
0.08009980624914169,
0.07967528188228608,
0.07916471648216247,
0.0788530655503273,
0.07914198207855225,
0.07845976740121842,
0.07806322836875916,
0.07768297368288041,
0.0778607325553894,
0.07737875044345856,
0.07682216674089432,
0.07743264657258987,
0.07693758219480515,
0.07715221554040909,
0.07661716121435165,
0.07610375595092773,
0.07629099428653717,
0.0761166660785675,
0.07626022684574127,
0.07677691966295243,
0.0755103154182434,
0.07530945605039596,
0.07527553778886795,
0.07565634047985077,
0.07560070466995239,
0.07543402361869812,
0.07513380587100983,
0.07498476415872574,
0.07448901307582856,
0.07489384853839874,
0.07509817326068878,
0.07472086840867996,
0.07455998528003692,
0.07458109045028687,
0.0736760407090187,
0.0739127681851387,
0.07348479974269867,
0.0737179503440857,
0.07337816250324249,
0.07349218189716339,
0.0736083345413208,
0.0733383971452713,
0.07308566790819168,
0.07324155068397523,
0.07341372239589691,
0.073162602186203,
0.07318145686388015,
0.07304516649246216,
0.07317802047729492,
0.07307149517536163,
0.07285879522562028,
0.07301505696773529,
0.0728074852824211,
0.0728095685839653,
0.07308397686481476,
0.07293559992313385,
0.07273350220918655,
0.07274707239866257,
0.07276939767599105,
0.07303122365474701,
0.0727171242237091,
0.07276431161165238,
0.07267237484455108,
0.07290990674495697,
0.07271710741519928,
0.07273158556222915,
0.07252232605218888,
0.07247878211736679,
0.07271854496002197,
0.07257393556833268,
0.07263265854120254,
0.07244504135847092,
0.07236862510442733,
0.07256510639190673,
0.07235708618164062,
0.07260376578569412,
0.07234354418516159,
0.07233692508935928,
0.07253305220603942,
0.07241593664884567,
0.07230457752943038,
0.07217080211639404,
0.07222512978315353,
0.07210155928134918,
0.07223321187496186,
0.0721174014210701,
0.07204049426317215,
0.07205111521482467,
0.07227177548408509,
0.07243644344806671,
0.07211517387628555,
0.07222532117366791,
0.07178664696216583,
0.07166123247146607,
0.07161745244264603,
0.07157982540130615,
0.07163847053050995,
0.07152747827768326,
0.07152942806482315
],
"efficiency": [
0.7528893166175447,
0.7789511673268773,
0.7703755896783728,
0.770607594284094,
0.7880852745817473,
0.7913505245881918,
0.787389260764584,
0.7842185311530628,
0.7761757048213994,
0.7814001048317107,
0.7793034706170463,
0.7828436890450863,
0.7848200245753026,
0.7847942462857781,
0.7884719489246157,
0.7829811732558839,
0.7834537752305009,
0.7854215179975425,
0.7875267449753818,
0.7811681002259897,
0.7830499153612828,
0.7835998522044734,
0.7836256304939979,
0.7808759462780447,
0.7834881462832003,
0.7834881462832003,
0.7828179107555616,
0.7847083186540296,
0.7819844127276008,
0.77849575087861,
0.7824827929917424,
0.7801369686450071,
0.7765194153483936,
0.778676198905282,
0.7806353489091488,
0.7815633673320329,
0.7851723278654718,
0.7842958660216366,
0.779561253512292,
0.7792862850906966,
0.7842099383898881,
0.7804806791720014,
0.778968352853227,
0.7857652285245367,
0.7806697199618481,
0.7795956245649913,
0.7819414489117266,
0.7791745791694236,
0.7861261245778806,
0.7856019660242144,
0.7818641140431528,
0.7830671008876324,
0.7839607482578173,
0.7856621153664384,
0.7824226436495184,
0.7838404495733693,
0.7830499153612828,
0.7849661015492752,
0.7798620002234118,
0.7815461818056832,
0.7844075719429097,
0.7840896397054401,
0.7854129252343676,
0.7821476752279231,
0.778727755484331,
0.7834194041778014,
0.7814001048317107,
0.7830069515454084,
0.782388272596819,
0.7829639877295342,
0.7832217706247798,
0.7836771870730471,
0.7837373364152711,
0.7827835397028623,
0.7851895133918214,
0.7849403232597506,
0.7816063311479072,
0.7836170377308231,
0.7823624943072944,
0.7835740739149488,
0.7788996107478282,
0.7836514087835225,
0.781090765357416,
0.7827577614133376,
0.7835139245727248,
0.7836170377308231,
0.780970466672968,
0.7841669745740137,
0.7794065837751446,
0.7810478015415417,
0.7818039647009288,
0.7809275028570938,
0.7837803002311453,
0.78320458509843,
0.7834537752305009,
0.7793206561433961,
0.7820101910171253,
0.7850090653651495,
0.7807814258831213,
0.7820445620698248,
0.7807040910145475,
0.7836256304939979,
0.7817438153587049,
0.7823624943072944,
0.7807814258831213,
0.7823109377282452,
0.7792175429852978,
0.7797073304862645,
0.7815461818056832,
0.7815977383847323,
0.7802486745662803,
0.7853527758921436,
0.7817438153587049,
0.7798620002234118,
0.7827749469396874,
0.7846739476013301,
0.779793258118013,
0.784270087732112,
0.7812368423313885,
0.782680426544764
],
"purity": [
0.999475275195346,
0.9992614557038768,
0.9994648948741388,
0.9995207525299808,
0.9993244494808068,
0.9992947048611112,
0.9993347510769398,
0.9994305550992696,
0.9994799504293175,
0.9993955512572534,
0.9995260976900018,
0.9993747394747812,
0.9994200551494726,
0.99937629255162,
0.9993900845168598,
0.999374849196078,
0.9994190443828168,
0.9993767903610242,
0.9993457638207393,
0.9995052498488264,
0.9994516281161232,
0.9994081997216346,
0.9994082191780822,
0.9994061365885846,
0.9994300245527885,
0.9994628900897741,
0.9994076089341349,
0.999343415552297,
0.9994399051133368,
0.9994484219351565,
0.9994183238948154,
0.9994055743912641,
0.9995022894684451,
0.9994705960206468,
0.999526905854265,
0.9994945166040307,
0.9993656626637794,
0.9994196677871823,
0.9994822077779002,
0.9994599955918008,
0.9994414937304934,
0.9995378114270622,
0.9995258939104932,
0.9994098296156242,
0.9994389624104815,
0.9994491996871454,
0.9994179214303757,
0.9995150018738564,
0.9993227670427858,
0.9994097070397902,
0.9994288413167405,
0.9994187576767855,
0.9994413163026094,
0.9993551348751804,
0.9994511887252212,
0.9994740821089307,
0.9994297057501015,
0.9994201630107762,
0.9994714005682444,
0.999439591231251,
0.9994197503831838,
0.9994085691755016,
0.9993767835470856,
0.9995058691761192,
0.9995367715180659,
0.9994409304670971,
0.9994724405121723,
0.9994625601877749,
0.9994072838232388,
0.9993529140801509,
0.9994407894736842,
0.9994192099063065,
0.9994083034745734,
0.9994514416114452,
0.9993984666367722,
0.999420143979344,
0.9995055271081028,
0.9994410713894307,
0.9993962943449245,
0.9994300870213279,
0.9995368736767819,
0.9993972866942819,
0.999472231690288,
0.9994843211691646,
0.9994300432947882,
0.9994410713894307,
0.9994941330430097,
0.9994414631475195,
0.9995371747826375,
0.9994941831057157,
0.9994617336570255,
0.9994611298677019,
0.9994083358899066,
0.9994188596491228,
0.9994299995615381,
0.9994710335783477,
0.9994838284553292,
0.9994311282258859,
0.9994830165434706,
0.9994509235465946,
0.9994609757439085,
0.9994191717169503,
0.9994397328294591,
0.999407264305237,
0.9995379893737556,
0.9994401387577667,
0.9995150286022904,
0.9995153330983433,
0.9994725390650755,
0.9995055216746332,
0.9995266715100279,
0.9994095198521613,
0.9995165950714671,
0.9994934143870314,
0.9994624009830382,
0.9994090093245196,
0.9994933697519714,
0.9994305925122915,
0.999472330321219,
0.9994733030482587
],
"rms_1d_um": [
1.9957276837545026,
1.7052481326275368,
1.607867353051229,
1.5386362101751911,
1.4629472412433182,
1.419914456951616,
1.3875089916354204,
1.3591751371155003,
1.326955817601164,
1.315046204610855,
1.2944686631475242,
1.2741938167909073,
1.2518345619757278,
1.2519973544040521,
1.2741819383148978,
1.2461789741144633,
1.2332135193270557,
1.2172420617410113,
1.2288223278707853,
1.2137821315364055,
1.204417753396746,
1.2135477588750274,
1.2047470100444082,
1.1973607131520918,
1.196213916650463,
1.194062803180352,
1.1883971038278132,
1.187188264079335,
1.1885839781315253,
1.1753985039433763,
1.1746504828554816,
1.1702461369570036,
1.179932844769689,
1.1743969547180375,
1.177318024941057,
1.1702283508280227,
1.1631606694457637,
1.1648540738437512,
1.1673295463691271,
1.168178838019741,
1.1621849474883104,
1.1537410372846353,
1.1528237603597007,
1.1518643664912749,
1.1614324534698262,
1.153850993134394,
1.1631865967283666,
1.1556078817047648,
1.146499683802479,
1.1463666684110478,
1.1523505848087052,
1.14384742248673,
1.1469606929660685,
1.150249619593332,
1.1508898901234208,
1.1458063869532469,
1.147080695841803,
1.1317223721682037,
1.138034884854095,
1.1380879723439374,
1.1386982084711657,
1.13600211390625,
1.1397208783193582,
1.136983103621553,
1.1425336955942123,
1.1428391395149426,
1.1382956332255045,
1.1302274503514875,
1.1297301429781763,
1.127794394977013,
1.1339898038771516,
1.1304566907200795,
1.1279934435712042,
1.12812557259591,
1.1295535353868382,
1.1225942721027018,
1.1339557244653264,
1.123414887240159,
1.1365932894609592,
1.1325205470753563,
1.1213523879628808,
1.1287775216512113,
1.1324143040551773,
1.1302923364599637,
1.1260996057335697,
1.1214342597589066,
1.1221972484155256,
1.1189983160600643,
1.1268814581388924,
1.1323275730408926,
1.1268825173018757,
1.1230667281991895,
1.1221255234378922,
1.1236895497601695,
1.1172322185277896,
1.1200865175757602,
1.122599075223511,
1.1191134799003264,
1.1184832079599694,
1.1290631628817986,
1.1190859962749526,
1.11778158117159,
1.1213144900355483,
1.124063858296662,
1.1204100766073202,
1.1224352881906237,
1.1167503432162673,
1.125525359080101,
1.1167700528311282,
1.1260481804297091,
1.1178404242441295,
1.1128263993848184,
1.113918510834081,
1.1147003843523995,
1.1115423619213338,
1.11573074170728,
1.1153441908738733,
1.1124969441390817,
1.1192881645507677,
1.1111686110256012
],
"sigma68_1d_um": [
1.136922836303711,
0.9791268849372863,
0.9145471787452696,
0.9118080139160156,
0.8578772139549252,
0.8295297622680664,
0.8217811584472656,
0.8090757513046263,
0.7811546325683594,
0.7753372192382812,
0.7677555084228516,
0.7633209228515625,
0.7532179975509639,
0.7490158081054688,
0.7757356321811676,
0.7672293353080749,
0.7415539669990537,
0.7388114929199219,
0.7558584213256836,
0.7328510284423828,
0.7368087768554688,
0.7319211959838867,
0.7253408432006836,
0.7309436798095703,
0.7240888905525208,
0.7355690002441406,
0.7283923172950745,
0.7188796997070312,
0.7212638854980469,
0.7211685180664062,
0.7194218039512632,
0.7114887237548828,
0.721362826824188,
0.7144180607795713,
0.7258976221084595,
0.7123145985603332,
0.708557459115982,
0.7151126861572266,
0.7138252258300781,
0.7142543792724609,
0.7302761077880859,
0.7109642028808594,
0.7056151497364044,
0.7036361837387082,
0.7135629653930664,
0.7150155591964719,
0.7172107696533203,
0.7133007049560547,
0.7050911688804624,
0.7032394409179688,
0.7080078125,
0.7175922393798828,
0.7073402404785156,
0.7059208810329436,
0.7112503051757812,
0.6974570918083188,
0.703470892906189,
0.6975650787353516,
0.7024765014648438,
0.695037841796875,
0.6990194320678711,
0.7006645202636719,
0.6958484649658203,
0.6944295620918272,
0.6971134591102598,
0.6967544555664062,
0.6978034973144531,
0.695037841796875,
0.6933689117431641,
0.6963491439819336,
0.6952524185180664,
0.6919384002685547,
0.6938934326171875,
0.6922245025634766,
0.6925344467163086,
0.6983280181884766,
0.6984710693359375,
0.6919846677780152,
0.6938605761528015,
0.6942783188819884,
0.6996631622314453,
0.6937503814697266,
0.6947517395019531,
0.6936073303222656,
0.6963729858398438,
0.6979465484619141,
0.6951332092285156,
0.6941241729259491,
0.6917715072631836,
0.6977422571182251,
0.6914138793945312,
0.6928348565101623,
0.6919384002685547,
0.6921394133567811,
0.6954669952392578,
0.6922006607055664,
0.6928920745849609,
0.6909171366691589,
0.6928443908691406,
0.6922006607055664,
0.6932782983779904,
0.6922483444213867,
0.6909519720077515,
0.6924539065361023,
0.6911993026733398,
0.6916999816894531,
0.6906032562255859,
0.6901264190673828,
0.6897427773475646,
0.6913661956787109,
0.6920814514160156,
0.6891675257682799,
0.6932094836235047,
0.6890773773193359,
0.687408447265625,
0.6854057312011719,
0.6884750032424926,
0.6864724326133727,
0.6877899169921875,
0.6863389420509337
]
}
Binary file not shown.
Binary file not shown.

After

Width:  |  Height:  |  Size: 54 KiB

@@ -0,0 +1,64 @@
experiment:
name: 12keV_Moench040
results_dir: Results
data:
folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/12keV_Moench040_150V
train_shards:
- 0
- 11
val_shards:
- 0
- 1
max_train_frames: null
max_val_frames: 8000
input_scale: 12.0
energy_scale: 12.0
augment: true
batch_size_train: 256
batch_size_val: 512
num_workers: 8
model:
channels:
- 32
- 64
- 64
- 64
predict_energy: true
norm: none
prior_prob: 0.01
loss:
w_obj: 1.0
w_off: 1.0
w_ene: 0.1
focal_alpha: 0.25
focal_gamma: 2.0
smooth_l1_beta_offset: 0.01
smooth_l1_beta_energy: 0.02
training:
epochs: 1000
lr: 0.001
weight_decay: 0.0
scheduler_factor: 0.5
scheduler_patience: 4
amp: true
seed: 0
checkpoint_epochs:
- 20
- 40
- 60
- 80
- 100
- 200
- 300
- 400
- 500
- 600
- 700
- 800
- 900
- 1000
eval:
threshold: 0.3
nms_kernel: 3
match_radius: 1.0
pixel_size_um: 25.0
File diff suppressed because it is too large. Load diff
Binary file not shown.
Binary file not shown.

After

Width:  |  Height:  |  Size: 115 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 127 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 232 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 63 KiB

@@ -0,0 +1,312 @@
{
"0.5%": {
"occupancy": 0.005,
"n_clusters": {
"1": 7967,
"2": 447,
"3": 26
},
"grid": {
"n_true": 5827,
"n_pred": 5810,
"n_match": 5805,
"efficiency": 0.9962244722841943,
"purity": 0.9991394148020654,
"f1": 0.9976798143851509,
"rms_x_um": 0.7751722440025511,
"rms_y_um": 0.8334788377150387,
"rms_1d_um": 0.804855703165607,
"sigma68_1d_um": 0.5931564760208129,
"bias_x_um": -0.008547874897538743,
"bias_y_um": -0.004963172498599504,
"energy_bias_keV": 4.7871657838911765e-05,
"energy_rms_keV": 0.07488460080343108,
"energy_sigma68_keV": 0.0749839256286621,
"subpixel_nonuniformity": 0.05240391513816991
},
"cluster+dl": {
"n_true": 5827,
"n_pred": 5822,
"n_match": 5806,
"efficiency": 0.9963960871803672,
"purity": 0.9972518035039505,
"f1": 0.996823761696283,
"rms_x_um": 0.8350069908627891,
"rms_y_um": 0.9438987529996069,
"rms_1d_um": 0.8911333851614491,
"sigma68_1d_um": 0.5948124534264206,
"bias_x_um": 0.009228541323870772,
"bias_y_um": -0.001344026449815599,
"energy_bias_keV": -0.0020763391960582937,
"energy_rms_keV": 0.0751517504762937,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.03405747622316486
},
"cluster+eta": {
"n_true": 5827,
"n_pred": 5085,
"n_match": 5078,
"efficiency": 0.8714604427664321,
"purity": 0.9986234021632252,
"f1": 0.9307184750733137,
"rms_x_um": 1.082732698577549,
"rms_y_um": 1.707804172101413,
"rms_1d_um": 1.4298435589774205,
"sigma68_1d_um": 1.1606203316388393,
"bias_x_um": -0.0503576774662195,
"bias_y_um": -0.0505550725893291,
"energy_bias_keV": -0.001967431617186923,
"energy_rms_keV": 0.07507446519993481,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
}
},
"1%": {
"occupancy": 0.01,
"n_clusters": {
"1": 13719,
"2": 1525,
"3": 171
},
"grid": {
"n_true": 11517,
"n_pred": 11449,
"n_match": 11437,
"efficiency": 0.9930537466354086,
"purity": 0.9989518735260722,
"f1": 0.9959940782025604,
"rms_x_um": 0.8600146625936027,
"rms_y_um": 0.8508395013933928,
"rms_1d_um": 0.8554812700460162,
"sigma68_1d_um": 0.6103871524333954,
"bias_x_um": -0.016917289736555038,
"bias_y_um": 1.3734552840872996e-05,
"energy_bias_keV": 0.001381515695715822,
"energy_rms_keV": 0.07480540928892503,
"energy_sigma68_keV": 0.07508318786621093,
"subpixel_nonuniformity": 0.0
},
"cluster+dl": {
"n_true": 11517,
"n_pred": 11389,
"n_match": 11317,
"efficiency": 0.9826343665885213,
"purity": 0.9936781104574589,
"f1": 0.9881253819959837,
"rms_x_um": 1.2557356118085499,
"rms_y_um": 1.2717035058014219,
"rms_1d_um": 1.2637589164174359,
"sigma68_1d_um": 0.6203093953244389,
"bias_x_um": 0.0022295850593656115,
"bias_y_um": -0.009725683011503684,
"energy_bias_keV": -0.0005942877499556029,
"energy_rms_keV": 0.07511853024698728,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
},
"cluster+eta": {
"n_true": 11517,
"n_pred": 8703,
"n_match": 8694,
"efficiency": 0.7548840843969784,
"purity": 0.9989658738366081,
"f1": 0.8599406528189911,
"rms_x_um": 1.229084279121203,
"rms_y_um": 1.536032603232305,
"rms_1d_um": 1.391442339494398,
"sigma68_1d_um": 1.0775229320144666,
"bias_x_um": 0.013097150067134751,
"bias_y_um": -0.052921709356355914,
"energy_bias_keV": -0.0001451129443842377,
"energy_rms_keV": 0.07458658542337013,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
}
},
"2%": {
"occupancy": 0.02,
"n_clusters": {
"1": 21348,
"2": 3974,
"3": 850
},
"grid": {
"n_true": 22967,
"n_pred": 22739,
"n_match": 22706,
"efficiency": 0.9886358688553142,
"purity": 0.9985487488455956,
"f1": 0.9935675841246226,
"rms_x_um": 0.8840547685138826,
"rms_y_um": 0.897443485929105,
"rms_1d_um": 0.8908252397116158,
"sigma68_1d_um": 0.6226322579383851,
"bias_x_um": -0.014619298898143663,
"bias_y_um": 0.00443699905276561,
"energy_bias_keV": 0.0016991545489776674,
"energy_rms_keV": 0.07503275623361767,
"energy_sigma68_keV": 0.07495996570587157,
"subpixel_nonuniformity": 0.0343833649100895
},
"cluster+dl": {
"n_true": 22967,
"n_pred": 21511,
"n_match": 21081,
"efficiency": 0.9178821787782471,
"purity": 0.9800102273255543,
"f1": 0.9479293133684068,
"rms_x_um": 1.7980454666261474,
"rms_y_um": 1.9693026447914417,
"rms_1d_um": 1.8856215468354824,
"sigma68_1d_um": 0.6749886225163936,
"bias_x_um": 0.014511438090085866,
"bias_y_um": 0.0087098963865713,
"energy_bias_keV": -0.0004957638906067483,
"energy_rms_keV": 0.07521611663195726,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.011337602563848385
},
"cluster+eta": {
"n_true": 22967,
"n_pred": 13504,
"n_match": 13482,
"efficiency": 0.5870161536117038,
"purity": 0.9983708530805687,
"f1": 0.7393271366291027,
"rms_x_um": 1.2353796613534593,
"rms_y_um": 1.4988550896341988,
"rms_1d_um": 1.3736238983235192,
"sigma68_1d_um": 1.0383780446953095,
"bias_x_um": 0.006909224694715276,
"bias_y_um": -0.03681126667657988,
"energy_bias_keV": -0.0002414711574616126,
"energy_rms_keV": 0.07536852939956286,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
}
},
"5%": {
"occupancy": 0.05,
"n_clusters": {
"1": 24379,
"2": 7903,
"3": 3054
},
"grid": {
"n_true": 57515,
"n_pred": 56257,
"n_match": 56116,
"efficiency": 0.9756759106320091,
"purity": 0.9974936452352596,
"f1": 0.9864641563829414,
"rms_x_um": 1.1096336462326366,
"rms_y_um": 1.1405961865081073,
"rms_1d_um": 1.125226807707352,
"sigma68_1d_um": 0.7069267165660855,
"bias_x_um": -0.004130621426834062,
"bias_y_um": 0.002833291005575017,
"energy_bias_keV": 0.0018168478360816108,
"energy_rms_keV": 0.0751094479278836,
"energy_sigma68_keV": 0.07504721689224243,
"subpixel_nonuniformity": 0.04489852797698968
},
"cluster+dl": {
"n_true": 57515,
"n_pred": 34642,
"n_match": 32070,
"efficiency": 0.5575936712162045,
"purity": 0.9257548640378731,
"f1": 0.6959861974673656,
"rms_x_um": 3.4728496839199163,
"rms_y_um": 3.5706318408598943,
"rms_1d_um": 3.522469318121268,
"sigma68_1d_um": 0.9264733225456439,
"bias_x_um": 0.09430688218434768,
"bias_y_um": -0.010416793708416822,
"energy_bias_keV": -0.0007335710124059522,
"energy_rms_keV": 0.07520841930408713,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
},
"cluster+eta": {
"n_true": 57515,
"n_pred": 15127,
"n_match": 15108,
"efficiency": 0.2626793010518995,
"purity": 0.998743967739803,
"f1": 0.41595771041546215,
"rms_x_um": 1.5317970911426355,
"rms_y_um": 1.6795084045360822,
"rms_1d_um": 1.6077192482035705,
"sigma68_1d_um": 1.0824790068734453,
"bias_x_um": -0.013584749600640284,
"bias_y_um": -0.08245495721077989,
"energy_bias_keV": -0.0005271548406769114,
"energy_rms_keV": 0.07594497954518455,
"energy_sigma68_keV": 0.07631969451904297,
"subpixel_nonuniformity": 0.0
}
},
"10%": {
"occupancy": 0.1,
"n_clusters": {
"1": 13316,
"2": 5141,
"3": 2348
},
"grid": {
"n_true": 115143,
"n_pred": 111060,
"n_match": 110196,
"efficiency": 0.9570360334540527,
"purity": 0.9922204213938411,
"f1": 0.9743106855346745,
"rms_x_um": 1.7376297019554447,
"rms_y_um": 1.7358375881557624,
"rms_1d_um": 1.7367396954261378,
"sigma68_1d_um": 0.9419664311408997,
"bias_x_um": -0.0024142715432361847,
"bias_y_um": 0.0065774764031168555,
"energy_bias_keV": 0.002688690471001825,
"energy_rms_keV": 0.07537169200633662,
"energy_sigma68_keV": 0.0753557710647583,
"subpixel_nonuniformity": 0.08680207623139889
},
"cluster+dl": {
"n_true": 115143,
"n_pred": 21623,
"n_match": 18558,
"efficiency": 0.16117349730335323,
"purity": 0.858252786384868,
"f1": 0.2713832385241946,
"rms_x_um": 4.976208387415414,
"rms_y_um": 5.1820745880493195,
"rms_1d_um": 5.082711541224097,
"sigma68_1d_um": 1.6431294292211531,
"bias_x_um": 0.23931323555584702,
"bias_y_um": -0.0812059417026731,
"energy_bias_keV": -0.00028108258046445075,
"energy_rms_keV": 0.075351238539105,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.04207391458993803
},
"cluster+eta": {
"n_true": 115143,
"n_pred": 8060,
"n_match": 8050,
"efficiency": 0.0699130646239893,
"purity": 0.9987593052109182,
"f1": 0.13067863607217356,
"rms_x_um": 1.865479807388517,
"rms_y_um": 2.127355542162366,
"rms_1d_um": 2.000837040997611,
"sigma68_1d_um": 1.2786324015140729,
"bias_x_um": -0.015563024079104761,
"bias_y_um": 0.030070619494817805,
"energy_bias_keV": 0.000531021615733271,
"energy_rms_keV": 0.07509626089279871,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
}
}
}
@@ -0,0 +1,56 @@
experiment:
name: 12keV_Moench040
results_dir: Results
data:
folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/12keV_Moench040_150V
train_shards:
- 0
- 11
val_shards:
- 0
- 1
max_train_frames: null
max_val_frames: 8000
input_scale: 12.0
energy_scale: 12.0
augment: true
batch_size_train: 256
batch_size_val: 512
num_workers: 8
model:
channels:
- 32
- 64
- 64
- 64
predict_energy: true
norm: none
prior_prob: 0.01
loss:
w_obj: 1.0
w_off: 1.0
w_ene: 0.1
focal_alpha: 0.25
focal_gamma: 2.0
smooth_l1_beta_offset: 0.01
smooth_l1_beta_energy: 0.02
training:
epochs: 200
lr: 0.001
weight_decay: 0.0
scheduler_factor: 0.5
scheduler_patience: 4
amp: true
seed: 0
checkpoint_epochs:
- 20
- 40
- 60
- 80
- 100
- 200
eval:
threshold: 0.3
merge_distance: 0.3
match_radius: 1.0
pixel_size_um: 25.0
File diff suppressed because it is too large. Load diff
File diff suppressed because it is too large. Load diff
Binary file not shown.
Binary file not shown.

After

Width:  |  Height:  |  Size: 136 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 133 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 262 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 67 KiB

@@ -0,0 +1,436 @@
{
"0.5%": {
"occupancy": 0.005,
"n_clusters": {
"1": 7967,
"2": 447,
"3": 26
},
"grid": {
"n_true": 5827,
"n_pred": 5810,
"n_match": 5804,
"efficiency": 0.9960528573880213,
"purity": 0.9989672977624785,
"f1": 0.9975079487840509,
"rms_x_um": 0.7745434329391213,
"rms_y_um": 0.8335377276606065,
"rms_1d_um": 0.8045842853682927,
"sigma68_1d_um": 0.5930900573730469,
"bias_x_um": -0.001291214885751105,
"bias_y_um": -0.005550693841246717,
"energy_bias_keV": -0.0014806291631465941,
"energy_rms_keV": 0.07487331357185813,
"energy_sigma68_keV": 0.07521422080993652,
"subpixel_nonuniformity": 0.05038651004579847
},
"cluster+dl": {
"n_true": 5827,
"n_pred": 5822,
"n_match": 5806,
"efficiency": 0.9963960871803672,
"purity": 0.9972518035039505,
"f1": 0.996823761696283,
"rms_x_um": 0.8350069908627891,
"rms_y_um": 0.9438987529996069,
"rms_1d_um": 0.8911333851614491,
"sigma68_1d_um": 0.5948124534264206,
"bias_x_um": 0.009228541323870772,
"bias_y_um": -0.001344026449815599,
"energy_bias_keV": -0.0020763391960582937,
"energy_rms_keV": 0.0751517504762937,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.03405747622316486
},
"cluster+eta": {
"n_true": 5827,
"n_pred": 5085,
"n_match": 5078,
"efficiency": 0.8714604427664321,
"purity": 0.9986234021632252,
"f1": 0.9307184750733137,
"rms_x_um": 1.082732698577549,
"rms_y_um": 1.707804172101413,
"rms_1d_um": 1.4298435589774205,
"sigma68_1d_um": 1.1606203316388393,
"bias_x_um": -0.0503576774662195,
"bias_y_um": -0.0505550725893291,
"energy_bias_keV": -0.001967431617186923,
"energy_rms_keV": 0.07507446519993481,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
}
},
"1%": {
"occupancy": 0.01,
"n_clusters": {
"1": 13719,
"2": 1525,
"3": 171
},
"grid": {
"n_true": 11517,
"n_pred": 11465,
"n_match": 11452,
"efficiency": 0.9943561691412695,
"purity": 0.9988661142607937,
"f1": 0.9966060395091811,
"rms_x_um": 0.8661869603229555,
"rms_y_um": 0.8529609720773376,
"rms_1d_um": 0.8596026616510635,
"sigma68_1d_um": 0.6102085113525391,
"bias_x_um": -0.005408274182230703,
"bias_y_um": -0.000675048105291166,
"energy_bias_keV": -0.00018757687887444266,
"energy_rms_keV": 0.07481183059546273,
"energy_sigma68_keV": 0.07515103788375854,
"subpixel_nonuniformity": 0.0
},
"cluster+dl": {
"n_true": 11517,
"n_pred": 11389,
"n_match": 11317,
"efficiency": 0.9826343665885213,
"purity": 0.9936781104574589,
"f1": 0.9881253819959837,
"rms_x_um": 1.2557356118085499,
"rms_y_um": 1.2717035058014219,
"rms_1d_um": 1.2637589164174359,
"sigma68_1d_um": 0.6203093953244389,
"bias_x_um": 0.0022295850593656115,
"bias_y_um": -0.009725683011503684,
"energy_bias_keV": -0.0005942877499556029,
"energy_rms_keV": 0.07511853024698728,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
},
"cluster+eta": {
"n_true": 11517,
"n_pred": 8703,
"n_match": 8694,
"efficiency": 0.7548840843969784,
"purity": 0.9989658738366081,
"f1": 0.8599406528189911,
"rms_x_um": 1.229084279121203,
"rms_y_um": 1.536032603232305,
"rms_1d_um": 1.391442339494398,
"sigma68_1d_um": 1.0775229320144666,
"bias_x_um": 0.013097150067134751,
"bias_y_um": -0.052921709356355914,
"energy_bias_keV": -0.0001451129443842377,
"energy_rms_keV": 0.07458658542337013,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
}
},
"2%": {
"occupancy": 0.02,
"n_clusters": {
"1": 21348,
"2": 3974,
"3": 850
},
"grid": {
"n_true": 22967,
"n_pred": 22786,
"n_match": 22739,
"efficiency": 0.990072713023033,
"purity": 0.9979373299394365,
"f1": 0.9939894651716827,
"rms_x_um": 0.885974177465255,
"rms_y_um": 0.9034271571451504,
"rms_1d_um": 0.8947571981462589,
"sigma68_1d_um": 0.6241321563720703,
"bias_x_um": -0.007395124869504104,
"bias_y_um": 0.002606461653006287,
"energy_bias_keV": 3.3262636894401553e-06,
"energy_rms_keV": 0.07501879666750082,
"energy_sigma68_keV": 0.07489024848937986,
"subpixel_nonuniformity": 0.029694204725319234
},
"cluster+dl": {
"n_true": 22967,
"n_pred": 21511,
"n_match": 21081,
"efficiency": 0.9178821787782471,
"purity": 0.9800102273255543,
"f1": 0.9479293133684068,
"rms_x_um": 1.7980454666261474,
"rms_y_um": 1.9693026447914417,
"rms_1d_um": 1.8856215468354824,
"sigma68_1d_um": 0.6749886225163936,
"bias_x_um": 0.014511438090085866,
"bias_y_um": 0.0087098963865713,
"energy_bias_keV": -0.0004957638906067483,
"energy_rms_keV": 0.07521611663195726,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.011337602563848385
},
"cluster+eta": {
"n_true": 22967,
"n_pred": 13504,
"n_match": 13482,
"efficiency": 0.5870161536117038,
"purity": 0.9983708530805687,
"f1": 0.7393271366291027,
"rms_x_um": 1.2353796613534593,
"rms_y_um": 1.4988550896341988,
"rms_1d_um": 1.3736238983235192,
"sigma68_1d_um": 1.0383780446953095,
"bias_x_um": 0.006909224694715276,
"bias_y_um": -0.03681126667657988,
"energy_bias_keV": -0.0002414711574616126,
"energy_rms_keV": 0.07536852939956286,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
}
},
"5%": {
"occupancy": 0.05,
"n_clusters": {
"1": 24379,
"2": 7903,
"3": 3054
},
"grid": {
"n_true": 57515,
"n_pred": 56675,
"n_match": 56339,
"efficiency": 0.9795531600452057,
"purity": 0.9940714600794001,
"f1": 0.9867589105876172,
"rms_x_um": 1.1322819427596782,
"rms_y_um": 1.1493623024279898,
"rms_1d_um": 1.1408551638667521,
"sigma68_1d_um": 0.7100862455368041,
"bias_x_um": 0.005627413540319478,
"bias_y_um": 0.0024938211393812516,
"energy_bias_keV": -0.0001618699775754979,
"energy_rms_keV": 0.07509903651258737,
"energy_sigma68_keV": 0.0750441799163818,
"subpixel_nonuniformity": 0.04059674469906677
},
"cluster+dl": {
"n_true": 57515,
"n_pred": 34642,
"n_match": 32070,
"efficiency": 0.5575936712162045,
"purity": 0.9257548640378731,
"f1": 0.6959861974673656,
"rms_x_um": 3.4728496839199163,
"rms_y_um": 3.5706318408598943,
"rms_1d_um": 3.522469318121268,
"sigma68_1d_um": 0.9264733225456439,
"bias_x_um": 0.09430688218434768,
"bias_y_um": -0.010416793708416822,
"energy_bias_keV": -0.0007335710124059522,
"energy_rms_keV": 0.07520841930408713,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
},
"cluster+eta": {
"n_true": 57515,
"n_pred": 15127,
"n_match": 15108,
"efficiency": 0.2626793010518995,
"purity": 0.998743967739803,
"f1": 0.41595771041546215,
"rms_x_um": 1.5317970911426355,
"rms_y_um": 1.6795084045360822,
"rms_1d_um": 1.6077192482035705,
"sigma68_1d_um": 1.0824790068734453,
"bias_x_um": -0.013584749600640284,
"bias_y_um": -0.08245495721077989,
"energy_bias_keV": -0.0005271548406769114,
"energy_rms_keV": 0.07594497954518455,
"energy_sigma68_keV": 0.07631969451904297,
"subpixel_nonuniformity": 0.0
}
},
"10%": {
"occupancy": 0.1,
"n_clusters": {
"1": 13316,
"2": 5141,
"3": 2348
},
"grid": {
"n_true": 115143,
"n_pred": 112894,
"n_match": 110959,
"efficiency": 0.9636625761010222,
"purity": 0.9828600279908587,
"f1": 0.9731666352390183,
"rms_x_um": 1.7641263035880943,
"rms_y_um": 1.7773972091960508,
"rms_1d_um": 1.770774194091949,
"sigma68_1d_um": 0.9449005126953125,
"bias_x_um": 0.0020271530072638495,
"bias_y_um": 0.0023051986111262317,
"energy_bias_keV": 0.000466546579235357,
"energy_rms_keV": 0.07535016847283477,
"energy_sigma68_keV": 0.07532508831024169,
"subpixel_nonuniformity": 0.06860082570918818
},
"cluster+dl": {
"n_true": 115143,
"n_pred": 21623,
"n_match": 18558,
"efficiency": 0.16117349730335323,
"purity": 0.858252786384868,
"f1": 0.2713832385241946,
"rms_x_um": 4.976208387415414,
"rms_y_um": 5.1820745880493195,
"rms_1d_um": 5.082711541224097,
"sigma68_1d_um": 1.6431294292211531,
"bias_x_um": 0.23931323555584702,
"bias_y_um": -0.0812059417026731,
"energy_bias_keV": -0.00028108258046445075,
"energy_rms_keV": 0.075351238539105,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.04207391458993803
},
"cluster+eta": {
"n_true": 115143,
"n_pred": 8060,
"n_match": 8050,
"efficiency": 0.0699130646239893,
"purity": 0.9987593052109182,
"f1": 0.13067863607217356,
"rms_x_um": 1.865479807388517,
"rms_y_um": 2.127355542162366,
"rms_1d_um": 2.000837040997611,
"sigma68_1d_um": 1.2786324015140729,
"bias_x_um": -0.015563024079104761,
"bias_y_um": 0.030070619494817805,
"energy_bias_keV": 0.000531021615733271,
"energy_rms_keV": 0.07509626089279871,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.0
}
},
"20%": {
"occupancy": 0.2,
"n_clusters": {
"1": 2255,
"2": 567,
"3": 206
},
"grid": {
"n_true": 231173,
"n_pred": 228056,
"n_match": 216296,
"efficiency": 0.9356455987507192,
"purity": 0.9484337180341671,
"f1": 0.9419962589470613,
"rms_x_um": 3.3385438577531343,
"rms_y_um": 3.341137638469033,
"rms_1d_um": 3.3398790857128735,
"sigma68_1d_um": 1.9790590143203723,
"bias_x_um": 0.007890699622890065,
"bias_y_um": -0.024009301283525575,
"energy_bias_keV": 0.0008519556226341287,
"energy_rms_keV": 0.07538286248419279,
"energy_sigma68_keV": 0.0753316879272461,
"subpixel_nonuniformity": 0.22801329767689676
},
"cluster+dl": {
"n_true": 231173,
"n_pred": 2673,
"n_match": 2268,
"efficiency": 0.009810834310235193,
"purity": 0.8484848484848485,
"f1": 0.01939738118248762,
"rms_x_um": 5.600804109825136,
"rms_y_um": 5.6995637998987,
"rms_1d_um": 5.661411684798306,
"sigma68_1d_um": 2.332519201468676,
"bias_x_um": 0.34324095369484175,
"bias_y_um": -0.3626348764505862,
"energy_bias_keV": -0.002491474151611328,
"energy_rms_keV": 0.07581166746186241,
"energy_sigma68_keV": 0.07571983337402344,
"subpixel_nonuniformity": 0.12366690732059063
},
"cluster+eta": {
"n_true": 231173,
"n_pred": 1314,
"n_match": 1314,
"efficiency": 0.005684054798787056,
"purity": 1.0,
"f1": 0.011303857850116351,
"rms_x_um": 2.7328261611140303,
"rms_y_um": 3.506679426249117,
"rms_1d_um": 3.1479970134845514,
"sigma68_1d_um": 2.194430853531226,
"bias_x_um": 0.15264096415091147,
"bias_y_um": -0.17790697024658175,
"energy_bias_keV": -0.001253210790625446,
"energy_rms_keV": 0.0767208912432988,
"energy_sigma68_keV": 0.07631969451904297,
"subpixel_nonuniformity": 0.0
}
},
"50%": {
"occupancy": 0.5,
"n_clusters": {
"1": 10,
"2": 0,
"3": 0
},
"grid": {
"n_true": 575839,
"n_pred": 555660,
"n_match": 499668,
"efficiency": 0.8677217069354455,
"purity": 0.8992333441313033,
"f1": 0.8831965383972941,
"rms_x_um": 6.495733528908615,
"rms_y_um": 6.442457447026989,
"rms_1d_um": 6.469658583455593,
"sigma68_1d_um": 6.024599075317383,
"bias_x_um": 0.03891640526856525,
"bias_y_um": -0.12327075587659811,
"energy_bias_keV": 0.00048489472400298797,
"energy_rms_keV": 0.0754558084371303,
"energy_sigma68_keV": 0.07545852661132812,
"subpixel_nonuniformity": 0.8956750975587188
},
"cluster+dl": {
"n_true": 575839,
"n_pred": 4,
"n_match": 4,
"efficiency": 6.9463860558246315e-06,
"purity": 1.0,
"f1": 1.3892675607761142e-05,
"rms_x_um": 3.06150730399529,
"rms_y_um": 1.149143139756944,
"rms_1d_um": 2.326963994002116,
"sigma68_1d_um": 1.6002655395772307,
"bias_x_um": 0.2986684557981789,
"bias_y_um": -0.22318579722195864,
"energy_bias_keV": 0.05219006538391113,
"energy_rms_keV": 0.05516777821186253,
"energy_sigma68_keV": 0.10123404273986816,
"subpixel_nonuniformity": 3.391164991562633
},
"cluster+eta": {
"n_true": 575839,
"n_pred": 4,
"n_match": 4,
"efficiency": 6.9463860558246315e-06,
"purity": 1.0,
"f1": 1.3892675607761142e-05,
"rms_x_um": 8.111969195945287,
"rms_y_um": 6.438365439935207,
"rms_1d_um": 7.81500657487365,
"sigma68_1d_um": 8.139267043592614,
"bias_x_um": -4.3387687281502165,
"bias_y_um": 1.1187145300044943,
"energy_bias_keV": 0.05219006538391113,
"energy_rms_keV": 0.05516777821186253,
"energy_sigma68_keV": 0.10123404273986816,
"subpixel_nonuniformity": 0.0
}
}
}
@@ -0,0 +1,56 @@
experiment:
name: 12keV_Moench040
results_dir: Results
data:
folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/12keV_Moench040_150V
train_shards:
- 0
- 11
val_shards:
- 0
- 1
max_train_frames: null
max_val_frames: 8000
input_scale: 12.0
energy_scale: 12.0
augment: true
batch_size_train: 256
batch_size_val: 512
num_workers: 8
model:
channels:
- 32
- 64
- 64
- 64
predict_energy: true
norm: none
prior_prob: 0.01
loss:
w_obj: 1.0
w_off: 1.0
w_ene: 0.1
focal_alpha: 0.25
focal_gamma: 2.0
smooth_l1_beta_offset: 0.01
smooth_l1_beta_energy: 0.02
training:
epochs: 150
lr: 0.001
weight_decay: 0.0
scheduler_factor: 0.5
scheduler_patience: 4
amp: true
seed: 0
checkpoint_epochs:
- 25
- 50
- 75
- 100
- 125
- 150
eval:
threshold: 0.3
merge_distance: 0.1
match_radius: 1.0
pixel_size_um: 25.0
File diff suppressed because it is too large. Load diff
@@ -0,0 +1,914 @@
{
"train_loss": [
0.11549803302764892,
0.08318714067379633,
0.07850522745132446,
0.07633025724887849,
0.07498112595160802,
0.07409019044558207,
0.073438043709596,
0.07298669574975968,
0.07263013871828715,
0.07234264065146447,
0.07211381237904231,
0.07190426727851232,
0.07173082770824432,
0.07156399731993675,
0.07143148451566696,
0.07131937425533931,
0.07119757150053978,
0.0711051474304994,
0.07102341193238894,
0.07093638002713522,
0.07087182137012482,
0.0707879904782772,
0.0707431219124794,
0.07067672574718793,
0.07061363537311555,
0.07056085242668787,
0.07051102187474569,
0.07045817246754964,
0.07042840806245804,
0.07037664879163107,
0.07033685771465302,
0.07029899738510449,
0.07026120421051979,
0.07021202997763952,
0.07018921863516171,
0.07015228042960167,
0.07012904616991679,
0.06943530514121056,
0.06937986017425855,
0.06935595335682233,
0.0693249940419197,
0.0693047307741642,
0.0692897141079108,
0.06925967580596606,
0.06925501446247101,
0.0692465750904878,
0.06923532518029213,
0.06921389070312182,
0.06920927806854248,
0.0691958756562074,
0.06881222748597463,
0.06879483518679937,
0.0687770151857535,
0.06876321306665738,
0.06876243152062098,
0.0687486151723067,
0.0687376529943943,
0.06874020044883092,
0.068733786555926,
0.06872081969221433,
0.06870851689457894,
0.06871340822935104,
0.0684949930759271,
0.06849531310518582,
0.06847809389829636,
0.06847691614627838,
0.06847435382127762,
0.0684768702741464,
0.0684674886683623,
0.06846663992245992,
0.06845621688842773,
0.06844923645218214,
0.06845370108524958,
0.0684496110912164,
0.06843825560331344,
0.0684471672519048,
0.0683291863032182,
0.06831207599600156,
0.0683146153430144,
0.06831508771657943,
0.06831361457149188,
0.06830971352418264,
0.068305537712574,
0.06830678311626116,
0.06830184397061666,
0.06825398347139358,
0.06824112318714459,
0.0682399377099673,
0.06823793432633082,
0.06823979368209838,
0.0682375610311826,
0.06823894005179405,
0.06823871238708495,
0.06823483720302581,
0.06823230539282163,
0.06823040001312891,
0.06823249892552694,
0.06823164344350496,
0.06822990950345993,
0.06822754492282868,
0.06822746344765028,
0.06821993305365244,
0.06822170446475347,
0.0682206405377388,
0.0682171655523777,
0.06818979968905449,
0.06819452638745307,
0.06818412415504456,
0.06819036424557368,
0.06819010560194651,
0.06818557546933492,
0.06818316753983497,
0.06816729074835777,
0.06817552491823832,
0.06817265658418338,
0.06817131195624669,
0.06816850638389588,
0.06816655315597853,
0.06816250649571419,
0.06815451193173726,
0.06816244826118151,
0.06816369408448537,
0.06816202482104301,
0.06816153821428617,
0.06815770435969035,
0.06815292869488399,
0.0681535164296627,
0.06814899826804798,
0.06816054877201716,
0.06815148009300231,
0.06815126408775647,
0.06815599991202355,
0.06815279254118602,
0.06815057228724161,
0.06814749926010767,
0.06815252566814423,
0.06815187471707662,
0.06815179258743922,
0.0681491514325142,
0.06815271788438161,
0.06814763328433036,
0.06814989734133084,
0.0681492163904508,
0.06816013643821081,
0.0681472523287932,
0.06814959580858548,
0.06814836641192436,
0.06814832310160002,
0.06815474447727203,
0.0681435151231289
],
"val_loss": [
0.08761753863096237,
0.08118068277835847,
0.07696007710695267,
0.07577203887701034,
0.07487226217985153,
0.07417588114738465,
0.07336923974752427,
0.07277206259965896,
0.07290583366155624,
0.07238588005304336,
0.07192310702800751,
0.07196190804243088,
0.07193700063228607,
0.07154968839883805,
0.07180907106399537,
0.07135853445529938,
0.07156657356023788,
0.07113019919395447,
0.07104292362928391,
0.0710218738913536,
0.07134625041484832,
0.07105319321155548,
0.0710515564084053,
0.07085513561964035,
0.07069623172283172,
0.07083315581083298,
0.0707534500360489,
0.07064944076538086,
0.07058667445182801,
0.07049528861045837,
0.07071359670162201,
0.0702024462223053,
0.070397798538208,
0.0705282074213028,
0.07057095313072205,
0.07052047687768936,
0.0708088281750679,
0.06966710406541825,
0.069708351790905,
0.06975338733196258,
0.06956660330295562,
0.06984174424409867,
0.06944911295175553,
0.06961576420068741,
0.06933906447887421,
0.06956946402788163,
0.06945883828401565,
0.06948346525430679,
0.06955201673507691,
0.06945740842819213,
0.06912153285741807,
0.06900744903087616,
0.06909787338972091,
0.06909513080120086,
0.06915528351068496,
0.06901137292385101,
0.06893064504861832,
0.06902213388681412,
0.0690176460146904,
0.06905519688129425,
0.06893697673082352,
0.06903553849458695,
0.06877595669031143,
0.06876467853784561,
0.06878680843114852,
0.06872492188215255,
0.06882990360260009,
0.06871770906448364,
0.0687373777627945,
0.06877333170175552,
0.06867993527650833,
0.06869136583805084,
0.06870175909996033,
0.06872516995668411,
0.0686790629029274,
0.06882987052202225,
0.06860003381967544,
0.06863409441709518,
0.06863678550720215,
0.06858499819040298,
0.0686147688627243,
0.06860790497064591,
0.06860097223520278,
0.06860156106948853,
0.06866604322195054,
0.06857422769069671,
0.068542486846447,
0.0685451517701149,
0.06852209347486496,
0.06857949012517929,
0.06853350526094437,
0.06852165567874909,
0.06850533437728881,
0.06854811006784439,
0.0685215277671814,
0.06851877021789551,
0.06849726730585098,
0.06852265816926956,
0.06855925232172012,
0.06849010229110718,
0.06854420799016953,
0.06848812222480774,
0.06852071714401245,
0.06853020858764648,
0.06851188629865647,
0.06849872785806656,
0.06847186905145645,
0.0684665448665619,
0.06849229705333709,
0.06848304557800293,
0.0684949095249176,
0.06847141987085342,
0.0684635078907013,
0.06846057045459747,
0.06846488583087922,
0.06845710617303848,
0.06846144515275955,
0.06846437907218933,
0.06844912987947464,
0.06844370687007904,
0.06845692706108093,
0.06845452892780304,
0.06844369173049927,
0.06844812226295471,
0.06844230926036834,
0.06844818329811096,
0.06844752019643784,
0.06844786524772645,
0.06844825381040573,
0.0684421449303627,
0.06844730162620545,
0.06844427931308747,
0.06844561773538589,
0.06844404506683349,
0.06844152700901031,
0.06844258272647857,
0.06844352567195892,
0.06844338977336883,
0.06844412106275559,
0.06844491696357727,
0.06844289910793304,
0.0684460974931717,
0.06844513207674026,
0.068443852186203,
0.06844429087638855,
0.06844322699308396,
0.06844419091939927,
0.06844343626499176,
0.06844278138875962,
0.06844274979829788
],
"efficiency": [
0.9808896946991243,
0.978973508511132,
0.9799960473289395,
0.9772721414025108,
0.9798070065390928,
0.9791023999587547,
0.9795062598279729,
0.9785524631155641,
0.9802108664083109,
0.9786899473263617,
0.9795320381174975,
0.978732911142236,
0.979265662459077,
0.9792570696959021,
0.9787844677212851,
0.9795664091701969,
0.9784321644311161,
0.9785266848260396,
0.9789047664057331,
0.9788360243003342,
0.9790766216692302,
0.9789477302216074,
0.9790594361428805,
0.9790594361428805,
0.9793601828540004,
0.9789219519320828,
0.9783892006152418,
0.9788961736425582,
0.9797554499600436,
0.9793945539066998,
0.9789992868006565,
0.9784579427206407,
0.9786641690368372,
0.9773838473237839,
0.9781571960095208,
0.9789477302216074,
0.9782517164044442,
0.9786641690368372,
0.9798327848286174,
0.9791625493009787,
0.9790336578533559,
0.9790938071955799,
0.9779939335091985,
0.9786727618000121,
0.9791367710114541,
0.9786212052209629,
0.9792914407486015,
0.9788188387739846,
0.9777361506139529,
0.978380607852067,
0.9791195854851045,
0.9790164723270062,
0.9794117394330495,
0.9787586894317606,
0.9785868341682635,
0.9789219519320828,
0.9781571960095208,
0.9787071328527115,
0.9795406308806723,
0.9785094992996898,
0.9788188387739846,
0.9780368973250728,
0.9789391374584325,
0.9789305446952576,
0.9788188387739846,
0.9786727618000121,
0.9792742552222519,
0.9785009065365149,
0.9787844677212851,
0.9791539565378039,
0.978853209826684,
0.9784751282469903,
0.9788188387739846,
0.9788188387739846,
0.9786813545631868,
0.9789219519320828,
0.9786985400895366,
0.9790766216692302,
0.9788274315371595,
0.9789477302216074,
0.978913359168908,
0.9789992868006565,
0.9789821012743067,
0.9788961736425582,
0.9790164723270062,
0.9788875808793834,
0.9787500966685857,
0.9788446170635091,
0.9788875808793834,
0.9790336578533559,
0.9790594361428805,
0.9789047664057331,
0.9788875808793834,
0.9789305446952576,
0.9789047664057331,
0.9788703953530337,
0.9785610558787389,
0.9788618025898588,
0.9790250650901811,
0.9789305446952576,
0.9790164723270062,
0.9789563229847822,
0.9788446170635091,
0.9791195854851045,
0.9789391374584325,
0.9787844677212851,
0.9789047664057331,
0.9789305446952576,
0.9789047664057331,
0.9788875808793834,
0.9791539565378039,
0.9789219519320828,
0.978973508511132,
0.9789305446952576,
0.9789477302216074,
0.9788961736425582,
0.9788188387739846,
0.9789391374584325,
0.9788961736425582,
0.9788789881162085,
0.9788961736425582,
0.979085214432405,
0.978853209826684,
0.978973508511132,
0.9789649157479571,
0.9789992868006565,
0.9789906940374816,
0.9789477302216074,
0.9789992868006565,
0.9789563229847822,
0.9789563229847822,
0.9788961736425582,
0.9790078795638314,
0.9789821012743067,
0.9789305446952576,
0.9789906940374816,
0.9789906940374816,
0.9789821012743067,
0.9790078795638314,
0.978973508511132,
0.9789992868006565,
0.9790078795638314,
0.9789992868006565,
0.9790078795638314,
0.9789821012743067,
0.9789821012743067,
0.978973508511132,
0.9789821012743067,
0.9790078795638314,
0.9789391374584325
],
"purity": [
0.9767853781253744,
0.9848635471685065,
0.9858666712769268,
0.9899811112174995,
0.9889506595779741,
0.9893291888794346,
0.9902101303868172,
0.990459044338917,
0.9896157749997831,
0.9909946751122403,
0.9898234737381368,
0.9906589201224604,
0.9909913043478261,
0.9911636037885179,
0.9914526938811037,
0.9905462823776795,
0.9915187084751962,
0.9918304069119287,
0.991100091348036,
0.9912115833072291,
0.9909378696166423,
0.9911091005576386,
0.991041141167261,
0.9911963254227851,
0.991043867657928,
0.9912295966310514,
0.9924863149820439,
0.9916348949356731,
0.9912628449220177,
0.991613234385739,
0.9912647798359101,
0.9918816745352869,
0.9920043201059123,
0.9924613250268304,
0.9927961556239698,
0.9917043871866296,
0.9923382000435825,
0.992704674412321,
0.9914703810939823,
0.9925094937811378,
0.9923442725752508,
0.9923620243683646,
0.9926217927473793,
0.9920475925022646,
0.9927254669640369,
0.9924967320261437,
0.9925882701318609,
0.992368540265533,
0.9930616768923295,
0.9924516460815676,
0.9925523945575861,
0.9926034987454697,
0.9920708143299795,
0.9923075582813534,
0.9930590071589889,
0.9925768453335192,
0.9929866799256798,
0.9926703852187555,
0.9920027846669277,
0.9930671224633952,
0.9928182959140984,
0.9932631138027628,
0.9925683269587642,
0.992697994998388,
0.9926539148620975,
0.9925749692802426,
0.9923720622425789,
0.9931623335281138,
0.9927055645126149,
0.9925007838901857,
0.9927925886546456,
0.9930668806195331,
0.992541474975603,
0.9927750324644199,
0.9928519125492521,
0.9928276991991076,
0.9930338195419235,
0.9928720808644127,
0.9929222052734801,
0.9928624962961672,
0.9927065179505054,
0.9928196101327152,
0.9925513564371962,
0.9928275116781705,
0.9928024328822509,
0.9927582330437208,
0.9929822420211143,
0.9928877112550226,
0.9929399459600802,
0.9927852568291726,
0.9926297632115415,
0.9929314146758126,
0.9928620608511491,
0.9927585485726237,
0.9929054525170827,
0.992740804001708,
0.9931367675657763,
0.9929830372552779,
0.9928111466438947,
0.9928623718887262,
0.9928976034858388,
0.9929923648153959,
0.9930175389657938,
0.9927339890748469,
0.9926461618889953,
0.9930344268440461,
0.9930266208748104,
0.9928018056487525,
0.9929141064191398,
0.9930005317155235,
0.9926823531461526,
0.9928796158304355,
0.9928713354481123,
0.9929575623403903,
0.9929230688780624,
0.9929400074957945,
0.9929740755591974,
0.9929316611032186,
0.9929573168074332,
0.9929398844232932,
0.9929313530662762,
0.9928115851108323,
0.9930089436705661,
0.9929405612689559,
0.993061669208978,
0.9929493995224068,
0.9928887649457943,
0.9930182692978174,
0.9929320923098376,
0.9929664008367107,
0.9929144769524407,
0.9929746267225675,
0.9928802363378096,
0.992931969113315,
0.9929748716563092,
0.992949338074446,
0.9929839546092368,
0.9929925480454962,
0.9929927312660147,
0.9930097967437158,
0.9929840157576392,
0.9929927312660147,
0.9929753614725595,
0.9930013857779095,
0.9929579306077271,
0.9929925480454962,
0.9930097967437158,
0.9929406227939446,
0.9929754226947882,
0.9930268640064153
],
"rms_1d_um": [
1.6518027539794375,
1.504959609515673,
1.4434803632079867,
1.3929337206509127,
1.3889829255642838,
1.3557948642462418,
1.3534493343880807,
1.3346827936556243,
1.3387511021931806,
1.3282341367673838,
1.3240096560183134,
1.3164025842707385,
1.318616826569897,
1.3113489967760021,
1.3067453177081807,
1.3106004290897346,
1.3053162108734278,
1.3068550316130951,
1.2936912652797414,
1.2848354424110855,
1.3025805903766177,
1.2744657305349245,
1.3018190673573597,
1.294878492660909,
1.2812935040052742,
1.2920731451099592,
1.2794158917434293,
1.2811052546058228,
1.2855345245588357,
1.2677654344424227,
1.2737460890980223,
1.2745940317386353,
1.2728228024034562,
1.2715848796325957,
1.2686894108221383,
1.2660857999864843,
1.2659234569562197,
1.251547579215351,
1.259892240596265,
1.2569207474628257,
1.2525772739138858,
1.2547406284918396,
1.2425543367640481,
1.259691377609029,
1.2519940137486916,
1.2541406468640504,
1.245735781709769,
1.2441952674493566,
1.2440942301785545,
1.2414551609062303,
1.239263904030335,
1.243810650881112,
1.2434232102302194,
1.2434599058044593,
1.2461881799810886,
1.239423895305759,
1.2373037167896699,
1.2391955861445278,
1.2425751971858434,
1.2374395687648991,
1.245147558787495,
1.2354060878053612,
1.2367463431263799,
1.2360888364221885,
1.2373770863473879,
1.237143623457706,
1.2379887913482324,
1.236886581386335,
1.2322798196198916,
1.2367419977305765,
1.2321263416877766,
1.230330805082824,
1.2326743802255173,
1.240304856444659,
1.2337514924833444,
1.239528013935537,
1.2323571298499751,
1.235188832440222,
1.231610584019876,
1.2342383179998853,
1.2348576601443781,
1.2342280448211749,
1.2350061169415218,
1.2361027848729111,
1.2310652218690377,
1.234599808073783,
1.2354957264509132,
1.233094696098922,
1.2338188563582193,
1.2332609355616289,
1.2352743617679904,
1.2338121086497793,
1.2349447901528963,
1.2341980109114,
1.2345296910562715,
1.2333577056292377,
1.232961511544981,
1.2330551226476572,
1.2361446024400964,
1.2344230878078382,
1.2346198049168138,
1.2349447709373782,
1.2309930949828072,
1.235229165826261,
1.231999449482239,
1.2326119172175054,
1.2319315570409963,
1.2325102103486516,
1.2309485656691728,
1.234818785346898,
1.2306357129830934,
1.2342077209574014,
1.229782963262012,
1.2328603977826504,
1.2325025013776514,
1.2328272993508755,
1.2320834300155519,
1.2312744992942681,
1.2330552895207854,
1.2321872107895615,
1.2328192804492104,
1.2344017833153023,
1.2344088713033987,
1.2317319130876823,
1.2328836229477833,
1.2312717539408862,
1.2319299202289258,
1.2326362497512104,
1.2335916472439719,
1.2329094812195518,
1.2316179173291961,
1.232136345858377,
1.2325858042751041,
1.2326276038654307,
1.2336751824462562,
1.233972178868589,
1.2338528085537162,
1.2330993942821638,
1.2331512283836805,
1.2337571690829185,
1.233387926457071,
1.233457575569663,
1.2331978766845648,
1.2332512704502663,
1.233935626328691,
1.233122942728529,
1.233181678209779,
1.233262819987371,
1.2341576733540283,
1.233040257804744
],
"sigma68_1d_um": [
0.8577781558036803,
0.8123240303993223,
0.7792949676513672,
0.7739067077636719,
0.7715650343894959,
0.7624583315849303,
0.7544517517089844,
0.7504940032958984,
0.7524013519287109,
0.7503747940063477,
0.7458209991455078,
0.7477760314941406,
0.7470074391365051,
0.7445335388183594,
0.7444691777229305,
0.74462890625,
0.7469968581199644,
0.737730908393859,
0.7428169250488281,
0.7399559020996094,
0.7451674020290372,
0.7429361343383789,
0.7429836583137512,
0.7400032663345337,
0.7349491119384766,
0.7413864135742188,
0.7349491119384766,
0.7387638092041016,
0.7363319396972656,
0.7315158843994141,
0.7396697998046875,
0.7327079772949219,
0.7345676422119141,
0.7363796234130859,
0.7356643676757812,
0.7356166839599609,
0.7392006599903106,
0.7273197174072266,
0.730133056640625,
0.7278919219970703,
0.7254123687744141,
0.7317543029785156,
0.7262945175170898,
0.7277011871337891,
0.7242202758789062,
0.7252216339111328,
0.7256474280357361,
0.7262706756591797,
0.7274356091022491,
0.7245063781738281,
0.7229804992675781,
0.721891703605651,
0.7235050201416016,
0.7220555377006527,
0.7221221923828125,
0.7217884063720703,
0.7205397200584412,
0.7222652435302734,
0.721471973657608,
0.7233142852783203,
0.72174072265625,
0.7203102111816406,
0.720498030185699,
0.718772704601288,
0.7185935974121094,
0.7194995880126953,
0.7213115692138672,
0.7187366485595703,
0.7188320159912109,
0.7208824157714844,
0.7189750671386719,
0.7186412811279297,
0.7197380065917969,
0.7207393646240234,
0.7204055786132812,
0.7207411158084869,
0.7184820950031281,
0.7184982299804688,
0.7184982299804688,
0.7180213928222656,
0.7184401273727409,
0.7188081741333008,
0.7189750671386719,
0.7185960149765012,
0.7188796997070312,
0.7185935974121094,
0.7174215054512024,
0.7190227508544922,
0.717616081237793,
0.7184982299804688,
0.7181166005134583,
0.7170677185058594,
0.7177993130683895,
0.7177829742431641,
0.7178783416748047,
0.7189273834228516,
0.7178735756874083,
0.7168292999267578,
0.7180690765380859,
0.7174968719482422,
0.7183074951171875,
0.7174015045166016,
0.7176876068115234,
0.71810605764389,
0.7181167602539062,
0.7181310892105095,
0.7179121041297913,
0.7177352905273438,
0.7172346115112305,
0.7172107696533203,
0.717592542171478,
0.7175445556640625,
0.7170200347900391,
0.7170084071159364,
0.7172584533691406,
0.7172584533691406,
0.7176580929756162,
0.7176608490943904,
0.7172107696533203,
0.7176876068115234,
0.7177377080917355,
0.7169246673583984,
0.7174783635139466,
0.7172584533691406,
0.7175922393798828,
0.7175445556640625,
0.7172346115112305,
0.7173299789428711,
0.7171154022216797,
0.7173206448554993,
0.7172107696533203,
0.7170677185058594,
0.7173061370849609,
0.7171869277954102,
0.7168769836425781,
0.7170677185058594,
0.7170677185058594,
0.7171714866161347,
0.7170677185058594,
0.7173142266273497,
0.7172584533691406,
0.7173061370849609,
0.7170677185058594,
0.7172298645973206,
0.7173061370849609,
0.7171869277954102,
0.7173299789428711,
0.7172990965843201,
0.7171154022216797,
0.717473030090332
]
}
Binary file not shown.

After

Width:  |  Height:  |  Size: 411 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 152 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 238 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 160 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 74 KiB

@@ -0,0 +1,56 @@
experiment:
name: poly5to30keV_Moench014
results_dir: Results
data:
folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/poly5to30keV_Moench014_150V
train_shards:
- 0
- 11
val_shards:
- 0
- 1
max_train_frames: null
max_val_frames: 8000
input_scale: 15.0
energy_scale: 15.0
augment: true
batch_size_train: 256
batch_size_val: 512
num_workers: 8
model:
channels:
- 32
- 64
- 128
- 128
predict_energy: true
norm: none
prior_prob: 0.01
loss:
w_obj: 1.0
w_off: 1.0
w_ene: 1.0
focal_alpha: 0.25
focal_gamma: 2.0
smooth_l1_beta_offset: 0.01
smooth_l1_beta_energy: 0.03
training:
epochs: 300
lr: 0.001
weight_decay: 0.0
scheduler_factor: 0.5
scheduler_patience: 6
amp: true
seed: 0
checkpoint_epochs:
- 50
- 100
- 150
- 200
- 250
- 300
eval:
threshold: 0.3
merge_distance: 0.1
match_radius: 1.0
pixel_size_um: 25.0
File diff suppressed because it is too large. Load diff
File diff suppressed because it is too large. Load diff
Binary file not shown.

After

Width:  |  Height:  |  Size: 410 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 158 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 239 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 173 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 74 KiB

@@ -0,0 +1,56 @@
experiment:
name: poly3to30keV_Moench014_c128
results_dir: Results
data:
folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/poly3to30keV_Moench014_150V
train_shards:
- 0
- 11
val_shards:
- 0
- 1
max_train_frames: null
max_val_frames: 8000
input_scale: 15.0
energy_scale: 15.0
augment: true
batch_size_train: 256
batch_size_val: 512
num_workers: 8
model:
channels:
- 32
- 64
- 128
- 128
predict_energy: true
norm: none
prior_prob: 0.01
loss:
w_obj: 1.0
w_off: 1.0
w_ene: 1.0
focal_alpha: 0.25
focal_gamma: 2.0
smooth_l1_beta_offset: 0.01
smooth_l1_beta_energy: 0.03
training:
epochs: 300
lr: 0.001
weight_decay: 0.0
scheduler_factor: 0.5
scheduler_patience: 6
amp: true
seed: 0
checkpoint_epochs:
- 50
- 100
- 150
- 200
- 250
- 300
eval:
threshold: 0.3
merge_distance: 0.1
match_radius: 1.0
pixel_size_um: 25.0
File diff suppressed because it is too large. Load diff
File diff suppressed because it is too large. Load diff
Binary file not shown.

After

Width:  |  Height:  |  Size: 412 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 158 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 239 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 172 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 72 KiB

@@ -0,0 +1,56 @@
experiment:
name: poly3to30keV_Moench014_c64
results_dir: Results
data:
folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/poly3to30keV_Moench014_150V
train_shards:
- 0
- 11
val_shards:
- 0
- 1
max_train_frames: null
max_val_frames: 8000
input_scale: 15.0
energy_scale: 15.0
augment: true
batch_size_train: 256
batch_size_val: 512
num_workers: 8
model:
channels:
- 32
- 64
- 64
- 64
predict_energy: true
norm: none
prior_prob: 0.01
loss:
w_obj: 1.0
w_off: 1.0
w_ene: 1.0
focal_alpha: 0.25
focal_gamma: 2.0
smooth_l1_beta_offset: 0.01
smooth_l1_beta_energy: 0.03
training:
epochs: 300
lr: 0.001
weight_decay: 0.0
scheduler_factor: 0.5
scheduler_patience: 6
amp: true
seed: 0
checkpoint_epochs:
- 50
- 100
- 150
- 200
- 250
- 300
eval:
threshold: 0.3
merge_distance: 0.1
match_radius: 1.0
pixel_size_um: 25.0
File diff suppressed because it is too large. Load diff
File diff suppressed because it is too large. Load diff
Binary file not shown.

After

Width:  |  Height:  |  Size: 405 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 156 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 239 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 172 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 78 KiB

@@ -0,0 +1,56 @@
experiment:
name: poly3to30keV_Moench014_c96
results_dir: Results
data:
folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/poly3to30keV_Moench014_150V
train_shards:
- 0
- 11
val_shards:
- 0
- 1
max_train_frames: null
max_val_frames: 8000
input_scale: 15.0
energy_scale: 15.0
augment: true
batch_size_train: 256
batch_size_val: 512
num_workers: 8
model:
channels:
- 32
- 64
- 96
- 96
predict_energy: true
norm: none
prior_prob: 0.01
loss:
w_obj: 1.0
w_off: 1.0
w_ene: 1.0
focal_alpha: 0.25
focal_gamma: 2.0
smooth_l1_beta_offset: 0.01
smooth_l1_beta_energy: 0.03
training:
epochs: 300
lr: 0.001
weight_decay: 0.0
scheduler_factor: 0.5
scheduler_patience: 6
amp: true
seed: 0
checkpoint_epochs:
- 50
- 100
- 150
- 200
- 250
- 300
eval:
threshold: 0.3
merge_distance: 0.1
match_radius: 1.0
pixel_size_um: 25.0
File diff suppressed because it is too large. Load diff
File diff suppressed because it is too large. Load diff
Binary file not shown.

After

Width:  |  Height:  |  Size: 419 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 159 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 230 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 171 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 64 KiB

@@ -0,0 +1,55 @@
experiment:
name: poly3to30keV_Moench014_r3
results_dir: Results
data:
folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/poly3to30keV_Moench014_150V
train_shards:
- 0
- 11
val_shards:
- 0
- 1
max_train_frames: null
max_val_frames: 8000
input_scale: 15.0
energy_scale: 15.0
augment: true
batch_size_train: 256
batch_size_val: 512
num_workers: 8
model:
channels:
- 32
- 64
- 128
predict_energy: true
norm: none
prior_prob: 0.01
loss:
w_obj: 1.0
w_off: 1.0
w_ene: 1.0
focal_alpha: 0.25
focal_gamma: 2.0
smooth_l1_beta_offset: 0.01
smooth_l1_beta_energy: 0.03
training:
epochs: 300
lr: 0.001
weight_decay: 0.0
scheduler_factor: 0.5
scheduler_patience: 6
amp: true
seed: 0
checkpoint_epochs:
- 50
- 100
- 150
- 200
- 250
- 300
eval:
threshold: 0.3
merge_distance: 0.1
match_radius: 1.0
pixel_size_um: 25.0
File diff suppressed because it is too large. Load diff
File diff suppressed because it is too large. Load diff
Binary file not shown.

After

Width:  |  Height:  |  Size: 181 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 161 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 246 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 166 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 78 KiB

@@ -0,0 +1,54 @@
experiment:
name: poly2to20keV_Moench040_c96
results_dir: Results
data:
folder: /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/poly2to20keV_Moench040_150V
train_shards:
- 0
- 11
val_shards:
- 0
- 1
max_train_frames: null
max_val_frames: 8000
input_scale: 15.0
energy_scale: 15.0
augment: true
batch_size_train: 256
batch_size_val: 512
num_workers: 8
model:
channels:
- 32
- 64
- 96
- 96
predict_energy: true
norm: none
prior_prob: 0.01
loss:
w_obj: 1.0
w_off: 1.0
w_ene: 1.0
focal_alpha: 0.25
focal_gamma: 2.0
smooth_l1_beta_offset: 0.01
smooth_l1_beta_energy: 0.03
training:
epochs: 200
lr: 0.001
weight_decay: 0.0
scheduler_factor: 0.5
scheduler_patience: 6
amp: true
seed: 0
checkpoint_epochs:
- 50
- 100
- 150
- 200
eval:
threshold: 0.3
merge_distance: 0.1
match_radius: 1.0
pixel_size_um: 25.0
File diff suppressed because it is too large. Load diff
File diff suppressed because it is too large. Load diff
Binary file not shown.

After

Width:  |  Height:  |  Size: 516 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 536 KiB

@@ -0,0 +1,93 @@
09-27 23:19:43 === driver started (pid 3223094) ===
09-27 23:19:43 lut: started
09-27 23:19:49 lut: done (0 min)
09-27 23:19:49 lut_validation: started
09-27 23:19:49 lut_validation: **FAILED** (exit 1 after 0 min), see logs/lut_validation.log
09-27 23:19:49 generate: started
09-27 23:55:24 generate: done (35 min)
09-27 23:55:24 check_frames: started
09-27 23:55:27 check_frames: done (0 min)
09-27 23:55:27 train: started
09-28 01:38:35 train: done (103 min)
09-28 01:38:35 check_train: started
09-28 01:38:35 check_train: done (0 min)
09-28 01:38:35 evaluate: started
09-28 01:38:59 evaluate: done (0 min)
09-28 01:38:59 response: started
09-28 01:39:05 response: done (0 min)
09-28 01:39:05 === part A finished: Results/260927_poly2to20keV_Moench040_c96_00 ===
09-28 01:39:05 === part B started (pid 3251631), model Results/260927_poly2to20keV_Moench040_c96_00/Models/best.pth ===
09-28 01:39:05 infer_Pedestal_1filters_12keV: started
09-28 01:39:05 infer_star_part0: started
09-28 01:39:09 infer_Pedestal_1filters_12keV: done (0 min) (680 frame/s)
09-28 01:39:09 infer_Pedestal_2filters_12keV: started
09-28 01:39:14 infer_Pedestal_2filters_12keV: done (0 min) (499 frame/s)
09-28 01:39:14 infer_Pedestal_3filters_pos0_12keV: started
09-28 01:39:18 infer_Pedestal_3filters_pos0_12keV: done (0 min) (520 frame/s)
09-28 01:39:18 infer_Edge_3filters_pos0: started
09-28 02:13:34 infer_Edge_3filters_pos0: done (34 min) (7603 frame/s)
09-28 02:13:34 infer_Flat_3filters_pos0: started
09-28 02:20:43 infer_star_part0: done (41 min) (2004 frame/s)
09-28 02:20:43 infer_star_part1: started
09-28 02:49:03 infer_Flat_3filters_pos0: done (35 min) (7774 frame/s)
09-28 02:49:03 infer_Edge_2filters: started
09-28 03:03:07 infer_star_part1: done (42 min) (1970 frame/s)
09-28 03:03:07 infer_star_part2: started
09-28 03:06:50 infer_Edge_2filters: done (17 min) (7664 frame/s)
09-28 03:06:50 infer_Flat_2filters: started
09-28 03:26:39 infer_Flat_2filters: done (19 min) (7700 frame/s)
09-28 03:26:39 infer_Edge_1filters: started
09-28 03:43:42 infer_star_part2: done (40 min) (2059 frame/s)
09-28 03:43:42 infer_star_part3: started
09-28 03:48:11 infer_Edge_1filters: done (21 min) (7682 frame/s)
09-28 03:48:11 infer_Flat_1filters: started
09-28 04:06:03 infer_Flat_1filters: **FAILED** (exit 1 after 17 min), see logs/infer_Flat_1filters.log
09-28 04:06:03 infer_Edge_0filters: started
09-28 04:22:22 infer_Edge_0filters: done (16 min) (7185 frame/s)
09-28 04:22:22 infer_Flat_0filters: started
09-28 04:22:52 infer_star_part3: done (39 min) (2132 frame/s)
09-28 04:22:52 notebook_star: started
09-28 04:23:02 notebook_star: done (0 min)
09-28 04:29:09 infer_Flat_0filters: **FAILED** (exit 1 after 6 min), see logs/infer_Flat_0filters.log
09-28 04:29:09 notebook_knife: started
09-28 04:29:25 notebook_knife: done (0 min)
09-28 04:29:25 === part B finished; notebooks in Notebooks/, HTML copies in Results/overnight_poly2to20keV_Moench040/report ===
09-28 08:50:14 === part B started (pid 3295641), model Results/260927_poly2to20keV_Moench040_c96_00/Models/best.pth ===
09-28 08:50:14 infer_Pedestal_1filters_12keV: already done, skipped
09-28 08:50:14 infer_star_part0: already done, skipped
09-28 08:50:14 infer_Pedestal_2filters_12keV: already done, skipped
09-28 08:50:14 infer_star_part1: already done, skipped
09-28 08:50:14 infer_star_part2: already done, skipped
09-28 08:50:14 infer_Pedestal_3filters_pos0_12keV: already done, skipped
09-28 08:50:14 infer_star_part3: already done, skipped
09-28 08:50:14 infer_Edge_3filters_pos0: already done, skipped
09-28 08:50:14 infer_Flat_3filters_pos0: already done, skipped
09-28 08:50:14 notebook_star: started
09-28 08:50:14 infer_Edge_2filters: already done, skipped
09-28 08:50:14 infer_Flat_2filters: already done, skipped
09-28 08:50:14 infer_Edge_1filters: already done, skipped
09-28 08:50:14 infer_Flat_1filters: started
09-28 08:50:24 notebook_star: done (0 min)
09-28 09:06:48 infer_Flat_1filters: done (16 min) (11355 frame/s)
09-28 09:06:48 infer_Edge_0filters: already done, skipped
09-28 09:06:48 infer_Flat_0filters: started
09-28 09:19:58 infer_Flat_0filters: done (13 min) (10546 frame/s)
09-28 09:19:58 notebook_knife: started
09-28 09:20:14 notebook_knife: done (0 min)
09-28 09:20:14 === part B finished; notebooks in Notebooks/, HTML copies in Results/overnight_poly2to20keV_Moench040/report ===
09-28 09:25:15 === Siemens star rerun, column_masked (pid 3302887), tag poly2to20_cmmasked ===
09-28 09:25:15 infer_star_cmmasked_part0: started
09-28 10:05:55 === Siemens star rerun, column_masked (pid 3315231), tag poly2to20_cmmasked ===
09-28 10:05:55 infer_star_cmmasked_part0: started
09-28 10:40:13 infer_star_cmmasked_part0: done (34 min) (2434 frame/s)
09-28 10:40:13 infer_star_cmmasked_part1: started
09-28 11:22:37 infer_star_cmmasked_part1: done (42 min) (1970 frame/s)
09-28 11:22:37 notebook_star_cmmasked_50pct: started
09-28 11:22:45 notebook_star_cmmasked_50pct: done (0 min)
09-28 11:22:45 infer_star_cmmasked_part2: started
09-28 11:58:42 infer_star_cmmasked_part2: done (35 min) (2325 frame/s)
09-28 11:58:42 infer_star_cmmasked_part3: started
09-28 12:33:39 infer_star_cmmasked_part3: done (34 min) (2391 frame/s)
09-28 12:33:39 notebook_star_cmmasked: started
09-28 12:33:46 notebook_star_cmmasked: done (0 min)
09-28 12:33:46 === Siemens star rerun finished ===
@@ -0,0 +1 @@
all shards complete, energies within 2-20 keV
@@ -0,0 +1 @@
200 epochs, best val loss 0.15306813251972198
@@ -0,0 +1,23 @@
[eval] checkpoint epoch 182, R=4, 157636 params, threshold 0.3, merge 0.1 px
[occ0p5pct.h5] 8000 frames (32x32), 41096 photons, <occ>=0.50%, augment x1
occ 0.50% eff 99.54% pur 98.44% RMS 1.171 um s68 0.775 um dE 0.508 keV subpix-nonunif 5.2%
[occ1pct.h5] 8000 frames (32x32), 82037 photons, <occ>=1.00%, augment x1
occ 1.00% eff 99.25% pur 98.02% RMS 1.257 um s68 0.808 um dE 0.638 keV subpix-nonunif 3.4%
[occ2pct.h5] 8000 frames (32x32), 163685 photons, <occ>=2.00%, augment x1
occ 2.00% eff 98.62% pur 97.53% RMS 1.400 um s68 0.858 um dE 0.830 keV subpix-nonunif 3.8%
[occ5pct.h5] 8000 frames (32x32), 408698 photons, <occ>=5.00%, augment x1
occ 5.00% eff 96.65% pur 95.85% RMS 1.859 um s68 1.041 um dE 1.333 keV subpix-nonunif 5.6%
[occ10pct.h5] 8000 frames (32x32), 820959 photons, <occ>=10.00%, augment x1
occ 10.00% eff 93.61% pur 93.09% RMS 2.650 um s68 1.461 um dE 1.969 keV subpix-nonunif 11.3%
per energy bin at occupancy 2%:
keV n eff% RMS um s68 um dE bias dE rms
0.0- 2.5 2593 93.71 3.116 2.712 0.239 0.739
2.5- 5.0 12753 96.46 2.083 1.761 0.078 0.710
5.0- 7.5 12622 98.11 1.377 1.112 0.079 0.776
7.5-10.0 12828 98.87 1.149 0.844 0.102 0.954
10.0-12.5 12763 99.34 1.077 0.704 0.094 0.921
12.5-15.0 12982 99.48 1.099 0.634 0.033 0.782
15.0-17.5 12820 99.51 1.098 0.583 -0.067 0.740
17.5-20.0 12695 99.57 1.089 0.552 -0.265 0.840
[eval] wrote Results/260927_poly2to20keV_Moench040_c96_00/eval_summary.json and Results/260927_poly2to20keV_Moench040_c96_00/Plots
@@ -0,0 +1,24 @@
[gen] 21 shards, 21 workers, frame 32x32
[gen] output -> /mnt/sls_det_storage/moench_data/MLXID/Samples/GridBased/poly2to20keV_Moench040_150V
eval_scan/occ0p5pct.h5 8000 frames 41096 photons <occ>= 0.50% same-cell= 102 (33.0s)
eval_scan/occ10pct.h5 8000 frames 820959 photons <occ>=10.00% same-cell= 39277 (761.7s)
eval_scan/occ1pct.h5 8000 frames 82037 photons <occ>= 1.00% same-cell= 388 (65.0s)
eval_scan/occ2pct.h5 8000 frames 163685 photons <occ>= 2.00% same-cell= 1598 (128.6s)
eval_scan/occ5pct.h5 8000 frames 408698 photons <occ>= 5.00% same-cell= 10003 (388.7s)
test/shard_00.h5 40000 frames 1025518 photons <occ>= 2.50% same-cell= 25447 (984.2s)
test/shard_01.h5 40000 frames 1032799 photons <occ>= 2.52% same-cell= 25924 (875.3s)
train/shard_00.h5 100000 frames 2562534 photons <occ>= 2.50% same-cell= 63667 (2076.8s)
train/shard_01.h5 100000 frames 2546664 photons <occ>= 2.49% same-cell= 63028 (2024.4s)
train/shard_02.h5 100000 frames 2555347 photons <occ>= 2.50% same-cell= 63802 (2037.7s)
train/shard_03.h5 100000 frames 2575515 photons <occ>= 2.51% same-cell= 64077 (2058.4s)
train/shard_04.h5 100000 frames 2563899 photons <occ>= 2.50% same-cell= 63538 (2026.3s)
train/shard_05.h5 100000 frames 2561999 photons <occ>= 2.50% same-cell= 63782 (2053.7s)
train/shard_06.h5 100000 frames 2573624 photons <occ>= 2.51% same-cell= 64085 (2037.7s)
train/shard_07.h5 100000 frames 2576397 photons <occ>= 2.51% same-cell= 64574 (2063.6s)
train/shard_08.h5 100000 frames 2568978 photons <occ>= 2.51% same-cell= 64159 (2134.4s)
train/shard_09.h5 100000 frames 2569128 photons <occ>= 2.51% same-cell= 64224 (2043.4s)
train/shard_10.h5 100000 frames 2585172 photons <occ>= 2.52% same-cell= 65001 (2129.5s)
train/shard_11.h5 100000 frames 2562468 photons <occ>= 2.50% same-cell= 64142 (2113.5s)
val/shard_00.h5 40000 frames 1022536 photons <occ>= 2.50% same-cell= 25086 (932.2s)
val/shard_01.h5 40000 frames 1026473 photons <occ>= 2.51% same-cell= 25948 (875.9s)
[gen] total 1400000 frames, 36425526 photons, same-cell loss 921852 (2.53%), 2134.4s
@@ -0,0 +1,44 @@
[infer] run Edge_0filters_12keV
[infer] model Results/260927_poly2to20keV_Moench040_c96_00/Models/best.pth (epoch 182), R=4 -> valid region 93x93 of 101x101
[infer] pedestal from pedestal_run, common mode 'column', 3500000 frames of 3500000 (35 files, step 1)
102560/3500000 frames 6656 frame/s eta 8.5 min <photons/frame> 202.20
205120/3500000 frames 6944 frame/s eta 7.9 min <photons/frame> 202.09
307680/3500000 frames 7030 frame/s eta 7.6 min <photons/frame> 201.94
409728/3500000 frames 7098 frame/s eta 7.3 min <photons/frame> 201.79
512288/3500000 frames 7133 frame/s eta 7.0 min <photons/frame> 201.65
614848/3500000 frames 7147 frame/s eta 6.7 min <photons/frame> 201.87
716896/3500000 frames 7164 frame/s eta 6.5 min <photons/frame> 202.12
819456/3500000 frames 7178 frame/s eta 6.2 min <photons/frame> 202.27
922016/3500000 frames 7187 frame/s eta 6.0 min <photons/frame> 202.37
1024064/3500000 frames 7199 frame/s eta 5.7 min <photons/frame> 202.39
1126624/3500000 frames 7188 frame/s eta 5.5 min <photons/frame> 202.40
1229184/3500000 frames 7160 frame/s eta 5.3 min <photons/frame> 202.39
1331232/3500000 frames 7181 frame/s eta 5.0 min <photons/frame> 202.36
1433792/3500000 frames 7186 frame/s eta 4.8 min <photons/frame> 202.32
1536352/3500000 frames 7182 frame/s eta 4.6 min <photons/frame> 202.26
1638400/3500000 frames 7192 frame/s eta 4.3 min <photons/frame> 202.19
1740960/3500000 frames 7196 frame/s eta 4.1 min <photons/frame> 202.13
1843520/3500000 frames 7196 frame/s eta 3.8 min <photons/frame> 202.20
1946080/3500000 frames 7190 frame/s eta 3.6 min <photons/frame> 202.26
2048128/3500000 frames 7182 frame/s eta 3.4 min <photons/frame> 202.31
2150688/3500000 frames 7187 frame/s eta 3.1 min <photons/frame> 202.33
2253248/3500000 frames 7191 frame/s eta 2.9 min <photons/frame> 202.35
2355296/3500000 frames 7193 frame/s eta 2.7 min <photons/frame> 202.35
2457856/3500000 frames 7194 frame/s eta 2.4 min <photons/frame> 202.35
2560416/3500000 frames 7194 frame/s eta 2.2 min <photons/frame> 202.33
2662464/3500000 frames 7194 frame/s eta 1.9 min <photons/frame> 202.30
2765024/3500000 frames 7194 frame/s eta 1.7 min <photons/frame> 202.27
2867584/3500000 frames 7193 frame/s eta 1.5 min <photons/frame> 202.23
2969632/3500000 frames 7197 frame/s eta 1.2 min <photons/frame> 202.22
3072192/3500000 frames 7198 frame/s eta 1.0 min <photons/frame> 202.26
3174752/3500000 frames 7197 frame/s eta 0.8 min <photons/frame> 202.30
3276800/3500000 frames 7196 frame/s eta 0.5 min <photons/frame> 202.33
3379360/3500000 frames 7200 frame/s eta 0.3 min <photons/frame> 202.34
3481920/3500000 frames 7187 frame/s eta 0.0 min <photons/frame> 202.35
[infer] self-flattening 708224932 positions, sub-pixel excess rms 18.61 %
[EtaInterpolation]: Building eta histogram from points (Chunked)...
[EtaInterpolation]: Performing bilinear interpolation (Chunked)...
[infer] after flattening, sub-pixel excess rms 1.26 %
[infer] 3500000 frames in 487s (7185 frame/s), 708224932 photons, 202.35/frame
[infer] occupancy: 2.340% averaged over the valid region, 9.751% inside the illuminated area (1662 of 8649 px)
[infer] wrote /mnt/sls_det_storage/moench_data/MLXID/InferenceResults/GridBased/Edge_0filters_12keV_poly2to20
@@ -0,0 +1,78 @@
[infer] run Edge_1filters_12keV
[infer] model Results/260927_poly2to20keV_Moench040_c96_00/Models/best.pth (epoch 182), R=4 -> valid region 93x93 of 101x101
[infer] pedestal from pedestal_run, common mode 'column', 7000000 frames of 7000000 (70 files, step 1)
102560/7000000 frames 7123 frame/s eta 16.1 min <photons/frame> 82.66
205120/7000000 frames 7387 frame/s eta 15.3 min <photons/frame> 82.96
307680/7000000 frames 7514 frame/s eta 14.8 min <photons/frame> 83.19
409728/7000000 frames 7604 frame/s eta 14.4 min <photons/frame> 83.27
512288/7000000 frames 7666 frame/s eta 14.1 min <photons/frame> 83.32
614848/7000000 frames 7708 frame/s eta 13.8 min <photons/frame> 83.31
716896/7000000 frames 7739 frame/s eta 13.5 min <photons/frame> 83.31
819456/7000000 frames 7768 frame/s eta 13.3 min <photons/frame> 83.29
922016/7000000 frames 7785 frame/s eta 13.0 min <photons/frame> 83.27
1024064/7000000 frames 7786 frame/s eta 12.8 min <photons/frame> 83.25
1126624/7000000 frames 7787 frame/s eta 12.6 min <photons/frame> 83.22
1229184/7000000 frames 7794 frame/s eta 12.3 min <photons/frame> 83.18
1331232/7000000 frames 7792 frame/s eta 12.1 min <photons/frame> 83.15
1433792/7000000 frames 7795 frame/s eta 11.9 min <photons/frame> 83.18
1536352/7000000 frames 7797 frame/s eta 11.7 min <photons/frame> 83.22
1638400/7000000 frames 7798 frame/s eta 11.5 min <photons/frame> 83.25
1740960/7000000 frames 7796 frame/s eta 11.2 min <photons/frame> 83.26
1843520/7000000 frames 7775 frame/s eta 11.1 min <photons/frame> 83.27
1946080/7000000 frames 7731 frame/s eta 10.9 min <photons/frame> 83.27
2048128/7000000 frames 7724 frame/s eta 10.7 min <photons/frame> 83.27
2150688/7000000 frames 7727 frame/s eta 10.5 min <photons/frame> 83.26
2253248/7000000 frames 7730 frame/s eta 10.2 min <photons/frame> 83.25
2355296/7000000 frames 7729 frame/s eta 10.0 min <photons/frame> 83.23
2457856/7000000 frames 7729 frame/s eta 9.8 min <photons/frame> 83.21
2560416/7000000 frames 7729 frame/s eta 9.6 min <photons/frame> 83.20
2662464/7000000 frames 7730 frame/s eta 9.4 min <photons/frame> 83.22
2765024/7000000 frames 7728 frame/s eta 9.1 min <photons/frame> 83.24
2867584/7000000 frames 7728 frame/s eta 8.9 min <photons/frame> 83.25
2969632/7000000 frames 7728 frame/s eta 8.7 min <photons/frame> 83.26
3072192/7000000 frames 7726 frame/s eta 8.5 min <photons/frame> 83.26
3174752/7000000 frames 7726 frame/s eta 8.3 min <photons/frame> 83.26
3276800/7000000 frames 7723 frame/s eta 8.0 min <photons/frame> 83.26
3379360/7000000 frames 7727 frame/s eta 7.8 min <photons/frame> 83.26
3481920/7000000 frames 7727 frame/s eta 7.6 min <photons/frame> 83.25
3584480/7000000 frames 7725 frame/s eta 7.4 min <photons/frame> 83.24
3686528/7000000 frames 7728 frame/s eta 7.1 min <photons/frame> 83.23
3789088/7000000 frames 7730 frame/s eta 6.9 min <photons/frame> 83.22
3891648/7000000 frames 7726 frame/s eta 6.7 min <photons/frame> 83.24
3993696/7000000 frames 7727 frame/s eta 6.5 min <photons/frame> 83.24
4096256/7000000 frames 7693 frame/s eta 6.3 min <photons/frame> 83.25
4198816/7000000 frames 7668 frame/s eta 6.1 min <photons/frame> 83.26
4301024/7000000 frames 7669 frame/s eta 5.9 min <photons/frame> 83.26
4403584/7000000 frames 7672 frame/s eta 5.6 min <photons/frame> 83.26
4505632/7000000 frames 7675 frame/s eta 5.4 min <photons/frame> 83.26
4608192/7000000 frames 7677 frame/s eta 5.2 min <photons/frame> 83.25
4710752/7000000 frames 7680 frame/s eta 5.0 min <photons/frame> 83.25
4812800/7000000 frames 7680 frame/s eta 4.7 min <photons/frame> 83.24
4915360/7000000 frames 7680 frame/s eta 4.5 min <photons/frame> 83.23
5017920/7000000 frames 7682 frame/s eta 4.3 min <photons/frame> 83.23
5120480/7000000 frames 7685 frame/s eta 4.1 min <photons/frame> 83.24
5222528/7000000 frames 7685 frame/s eta 3.9 min <photons/frame> 83.25
5325088/7000000 frames 7686 frame/s eta 3.6 min <photons/frame> 83.25
5427648/7000000 frames 7688 frame/s eta 3.4 min <photons/frame> 83.26
5529696/7000000 frames 7689 frame/s eta 3.2 min <photons/frame> 83.26
5632256/7000000 frames 7691 frame/s eta 3.0 min <photons/frame> 83.26
5734816/7000000 frames 7694 frame/s eta 2.7 min <photons/frame> 83.25
5836864/7000000 frames 7696 frame/s eta 2.5 min <photons/frame> 83.25
5939424/7000000 frames 7698 frame/s eta 2.3 min <photons/frame> 83.24
6041984/7000000 frames 7698 frame/s eta 2.1 min <photons/frame> 83.24
6144032/7000000 frames 7698 frame/s eta 1.9 min <photons/frame> 83.23
6246592/7000000 frames 7690 frame/s eta 1.6 min <photons/frame> 83.24
6349152/7000000 frames 7680 frame/s eta 1.4 min <photons/frame> 83.25
6451200/7000000 frames 7682 frame/s eta 1.2 min <photons/frame> 83.25
6553760/7000000 frames 7682 frame/s eta 1.0 min <photons/frame> 83.26
6656320/7000000 frames 7683 frame/s eta 0.7 min <photons/frame> 83.26
6758880/7000000 frames 7681 frame/s eta 0.5 min <photons/frame> 83.26
6860928/7000000 frames 7682 frame/s eta 0.3 min <photons/frame> 83.26
6963488/7000000 frames 7682 frame/s eta 0.1 min <photons/frame> 83.26
[infer] self-flattening 582778411 positions, sub-pixel excess rms 20.08 %
[EtaInterpolation]: Building eta histogram from points (Chunked)...
[EtaInterpolation]: Performing bilinear interpolation (Chunked)...
[infer] after flattening, sub-pixel excess rms 2.21 %
[infer] 7000000 frames in 911s (7682 frame/s), 582778411 photons, 83.25/frame
[infer] occupancy: 0.963% averaged over the valid region, 4.018% inside the illuminated area (1655 of 8649 px)
[infer] wrote /mnt/sls_det_storage/moench_data/MLXID/InferenceResults/GridBased/Edge_1filters_12keV_poly2to20
@@ -0,0 +1,78 @@
[infer] run Edge_2filters_12keV
[infer] model Results/260927_poly2to20keV_Moench040_c96_00/Models/best.pth (epoch 182), R=4 -> valid region 93x93 of 101x101
[infer] pedestal from pedestal_run, common mode 'column', 7000000 frames of 7000000 (70 files, step 1)
102560/7000000 frames 7136 frame/s eta 16.1 min <photons/frame> 33.73
205120/7000000 frames 7451 frame/s eta 15.2 min <photons/frame> 33.69
307680/7000000 frames 7559 frame/s eta 14.8 min <photons/frame> 33.67
409728/7000000 frames 7629 frame/s eta 14.4 min <photons/frame> 33.64
512288/7000000 frames 7677 frame/s eta 14.1 min <photons/frame> 33.62
614848/7000000 frames 7684 frame/s eta 13.9 min <photons/frame> 33.60
716896/7000000 frames 7689 frame/s eta 13.6 min <photons/frame> 33.59
819456/7000000 frames 7707 frame/s eta 13.4 min <photons/frame> 33.62
922016/7000000 frames 7715 frame/s eta 13.1 min <photons/frame> 33.64
1024064/7000000 frames 7717 frame/s eta 12.9 min <photons/frame> 33.66
1126624/7000000 frames 7722 frame/s eta 12.7 min <photons/frame> 33.67
1229184/7000000 frames 7721 frame/s eta 12.5 min <photons/frame> 33.67
1331232/7000000 frames 7711 frame/s eta 12.3 min <photons/frame> 33.67
1433792/7000000 frames 7709 frame/s eta 12.0 min <photons/frame> 33.67
1536352/7000000 frames 7709 frame/s eta 11.8 min <photons/frame> 33.67
1638400/7000000 frames 7643 frame/s eta 11.7 min <photons/frame> 33.66
1740960/7000000 frames 7654 frame/s eta 11.5 min <photons/frame> 33.65
1843520/7000000 frames 7660 frame/s eta 11.2 min <photons/frame> 33.65
1946080/7000000 frames 7668 frame/s eta 11.0 min <photons/frame> 33.64
2048128/7000000 frames 7678 frame/s eta 10.7 min <photons/frame> 33.65
2150688/7000000 frames 7684 frame/s eta 10.5 min <photons/frame> 33.66
2253248/7000000 frames 7688 frame/s eta 10.3 min <photons/frame> 33.67
2355296/7000000 frames 7686 frame/s eta 10.1 min <photons/frame> 33.68
2457856/7000000 frames 7691 frame/s eta 9.8 min <photons/frame> 33.68
2560416/7000000 frames 7692 frame/s eta 9.6 min <photons/frame> 33.68
2662464/7000000 frames 7692 frame/s eta 9.4 min <photons/frame> 33.68
2765024/7000000 frames 7692 frame/s eta 9.2 min <photons/frame> 33.67
2867584/7000000 frames 7692 frame/s eta 9.0 min <photons/frame> 33.67
2969632/7000000 frames 7691 frame/s eta 8.7 min <photons/frame> 33.67
3072192/7000000 frames 7692 frame/s eta 8.5 min <photons/frame> 33.66
3174752/7000000 frames 7693 frame/s eta 8.3 min <photons/frame> 33.66
3276800/7000000 frames 7693 frame/s eta 8.1 min <photons/frame> 33.67
3379360/7000000 frames 7695 frame/s eta 7.8 min <photons/frame> 33.68
3481920/7000000 frames 7697 frame/s eta 7.6 min <photons/frame> 33.68
3584480/7000000 frames 7696 frame/s eta 7.4 min <photons/frame> 33.69
3686528/7000000 frames 7697 frame/s eta 7.2 min <photons/frame> 33.69
3789088/7000000 frames 7676 frame/s eta 7.0 min <photons/frame> 33.69
3891648/7000000 frames 7668 frame/s eta 6.8 min <photons/frame> 33.69
3993696/7000000 frames 7662 frame/s eta 6.5 min <photons/frame> 33.69
4096256/7000000 frames 7664 frame/s eta 6.3 min <photons/frame> 33.69
4198816/7000000 frames 7665 frame/s eta 6.1 min <photons/frame> 33.69
4301024/7000000 frames 7666 frame/s eta 5.9 min <photons/frame> 33.68
4403584/7000000 frames 7666 frame/s eta 5.6 min <photons/frame> 33.69
4505632/7000000 frames 7668 frame/s eta 5.4 min <photons/frame> 33.69
4608192/7000000 frames 7666 frame/s eta 5.2 min <photons/frame> 33.70
4710752/7000000 frames 7667 frame/s eta 5.0 min <photons/frame> 33.70
4812800/7000000 frames 7667 frame/s eta 4.8 min <photons/frame> 33.71
4915360/7000000 frames 7667 frame/s eta 4.5 min <photons/frame> 33.71
5017920/7000000 frames 7667 frame/s eta 4.3 min <photons/frame> 33.71
5120480/7000000 frames 7668 frame/s eta 4.1 min <photons/frame> 33.71
5222528/7000000 frames 7666 frame/s eta 3.9 min <photons/frame> 33.71
5325088/7000000 frames 7668 frame/s eta 3.6 min <photons/frame> 33.71
5427648/7000000 frames 7669 frame/s eta 3.4 min <photons/frame> 33.71
5529696/7000000 frames 7669 frame/s eta 3.2 min <photons/frame> 33.70
5632256/7000000 frames 7671 frame/s eta 3.0 min <photons/frame> 33.71
5734816/7000000 frames 7672 frame/s eta 2.7 min <photons/frame> 33.71
5836864/7000000 frames 7670 frame/s eta 2.5 min <photons/frame> 33.72
5939424/7000000 frames 7667 frame/s eta 2.3 min <photons/frame> 33.72
6041984/7000000 frames 7649 frame/s eta 2.1 min <photons/frame> 33.72
6144032/7000000 frames 7647 frame/s eta 1.9 min <photons/frame> 33.72
6246592/7000000 frames 7646 frame/s eta 1.6 min <photons/frame> 33.72
6349152/7000000 frames 7646 frame/s eta 1.4 min <photons/frame> 33.72
6451200/7000000 frames 7658 frame/s eta 1.2 min <photons/frame> 33.72
6553760/7000000 frames 7665 frame/s eta 1.0 min <photons/frame> 33.72
6656320/7000000 frames 7646 frame/s eta 0.7 min <photons/frame> 33.72
6758880/7000000 frames 7627 frame/s eta 0.5 min <photons/frame> 33.72
6860928/7000000 frames 7616 frame/s eta 0.3 min <photons/frame> 33.73
6963488/7000000 frames 7653 frame/s eta 0.1 min <photons/frame> 33.73
[infer] self-flattening 236116094 positions, sub-pixel excess rms 22.21 %
[EtaInterpolation]: Building eta histogram from points (Chunked)...
[EtaInterpolation]: Performing bilinear interpolation (Chunked)...
[infer] after flattening, sub-pixel excess rms 2.80 %
[infer] 7000000 frames in 913s (7664 frame/s), 236116094 photons, 33.73/frame
[infer] occupancy: 0.390% averaged over the valid region, 1.624% inside the illuminated area (1654 of 8649 px)
[infer] wrote /mnt/sls_det_storage/moench_data/MLXID/InferenceResults/GridBased/Edge_2filters_12keV_poly2to20
@@ -0,0 +1,146 @@
[infer] run Edge_3filters_pos0_12keV
[infer] model Results/260927_poly2to20keV_Moench040_c96_00/Models/best.pth (epoch 182), R=4 -> valid region 93x93 of 101x101
[infer] pedestal from pedestal_run, common mode 'column', 14000000 frames of 14000000 (140 files, step 1)
102560/14000000 frames 6088 frame/s eta 38.0 min <photons/frame> 14.03
205120/14000000 frames 6400 frame/s eta 35.9 min <photons/frame> 14.02
307680/14000000 frames 7090 frame/s eta 32.2 min <photons/frame> 14.02
409728/14000000 frames 7709 frame/s eta 29.4 min <photons/frame> 14.01
512288/14000000 frames 7677 frame/s eta 29.3 min <photons/frame> 14.01
614848/14000000 frames 7663 frame/s eta 29.1 min <photons/frame> 14.00
716896/14000000 frames 7516 frame/s eta 29.5 min <photons/frame> 14.00
819456/14000000 frames 7595 frame/s eta 28.9 min <photons/frame> 14.00
922016/14000000 frames 7603 frame/s eta 28.7 min <photons/frame> 13.99
1024064/14000000 frames 7618 frame/s eta 28.4 min <photons/frame> 13.98
1126624/14000000 frames 7630 frame/s eta 28.1 min <photons/frame> 13.98
1229184/14000000 frames 7641 frame/s eta 27.9 min <photons/frame> 13.99
1331232/14000000 frames 7648 frame/s eta 27.6 min <photons/frame> 14.00
1433792/14000000 frames 7656 frame/s eta 27.4 min <photons/frame> 14.00
1536352/14000000 frames 7660 frame/s eta 27.1 min <photons/frame> 14.00
1638400/14000000 frames 7668 frame/s eta 26.9 min <photons/frame> 14.00
1740960/14000000 frames 7675 frame/s eta 26.6 min <photons/frame> 14.00
1843520/14000000 frames 7681 frame/s eta 26.4 min <photons/frame> 14.00
1946080/14000000 frames 7685 frame/s eta 26.1 min <photons/frame> 13.99
2048128/14000000 frames 7681 frame/s eta 25.9 min <photons/frame> 13.99
2150688/14000000 frames 7684 frame/s eta 25.7 min <photons/frame> 13.99
2253248/14000000 frames 7687 frame/s eta 25.5 min <photons/frame> 13.98
2355296/14000000 frames 7689 frame/s eta 25.2 min <photons/frame> 13.98
2457856/14000000 frames 7691 frame/s eta 25.0 min <photons/frame> 13.99
2560416/14000000 frames 7695 frame/s eta 24.8 min <photons/frame> 13.99
2662464/14000000 frames 7691 frame/s eta 24.6 min <photons/frame> 13.99
2765024/14000000 frames 7691 frame/s eta 24.3 min <photons/frame> 13.99
2867584/14000000 frames 7696 frame/s eta 24.1 min <photons/frame> 13.99
2969632/14000000 frames 7693 frame/s eta 23.9 min <photons/frame> 13.99
3072192/14000000 frames 7698 frame/s eta 23.7 min <photons/frame> 13.99
3174752/14000000 frames 7699 frame/s eta 23.4 min <photons/frame> 13.99
3276800/14000000 frames 7697 frame/s eta 23.2 min <photons/frame> 13.99
3379360/14000000 frames 7698 frame/s eta 23.0 min <photons/frame> 13.99
3481920/14000000 frames 7696 frame/s eta 22.8 min <photons/frame> 13.98
3584480/14000000 frames 7695 frame/s eta 22.6 min <photons/frame> 13.99
3686528/14000000 frames 7693 frame/s eta 22.3 min <photons/frame> 13.99
3789088/14000000 frames 7692 frame/s eta 22.1 min <photons/frame> 13.99
3891648/14000000 frames 7692 frame/s eta 21.9 min <photons/frame> 13.99
3993696/14000000 frames 7694 frame/s eta 21.7 min <photons/frame> 13.99
4096256/14000000 frames 7695 frame/s eta 21.5 min <photons/frame> 13.99
4198816/14000000 frames 7697 frame/s eta 21.2 min <photons/frame> 13.99
4301024/14000000 frames 7699 frame/s eta 21.0 min <photons/frame> 13.99
4403584/14000000 frames 7701 frame/s eta 20.8 min <photons/frame> 13.99
4505632/14000000 frames 7704 frame/s eta 20.5 min <photons/frame> 13.99
4608192/14000000 frames 7706 frame/s eta 20.3 min <photons/frame> 13.99
4710752/14000000 frames 7706 frame/s eta 20.1 min <photons/frame> 13.99
4812800/14000000 frames 7706 frame/s eta 19.9 min <photons/frame> 13.99
4915360/14000000 frames 7705 frame/s eta 19.7 min <photons/frame> 13.99
5017920/14000000 frames 7702 frame/s eta 19.4 min <photons/frame> 13.99
5120480/14000000 frames 7689 frame/s eta 19.2 min <photons/frame> 13.99
5222528/14000000 frames 7684 frame/s eta 19.0 min <photons/frame> 13.99
5325088/14000000 frames 7682 frame/s eta 18.8 min <photons/frame> 13.99
5427648/14000000 frames 7680 frame/s eta 18.6 min <photons/frame> 13.99
5529696/14000000 frames 7681 frame/s eta 18.4 min <photons/frame> 13.99
5632256/14000000 frames 7682 frame/s eta 18.2 min <photons/frame> 13.99
5734816/14000000 frames 7684 frame/s eta 17.9 min <photons/frame> 13.99
5836864/14000000 frames 7684 frame/s eta 17.7 min <photons/frame> 13.99
5939424/14000000 frames 7684 frame/s eta 17.5 min <photons/frame> 13.99
6041984/14000000 frames 7684 frame/s eta 17.3 min <photons/frame> 13.99
6144032/14000000 frames 7682 frame/s eta 17.0 min <photons/frame> 13.99
6246592/14000000 frames 7681 frame/s eta 16.8 min <photons/frame> 13.99
6349152/14000000 frames 7680 frame/s eta 16.6 min <photons/frame> 13.99
6451200/14000000 frames 7680 frame/s eta 16.4 min <photons/frame> 13.99
6553760/14000000 frames 7680 frame/s eta 16.2 min <photons/frame> 13.99
6656320/14000000 frames 7679 frame/s eta 15.9 min <photons/frame> 13.99
6758880/14000000 frames 7679 frame/s eta 15.7 min <photons/frame> 13.99
6860928/14000000 frames 7680 frame/s eta 15.5 min <photons/frame> 13.99
6963488/14000000 frames 7681 frame/s eta 15.3 min <photons/frame> 13.99
7066048/14000000 frames 7679 frame/s eta 15.0 min <photons/frame> 13.98
7168096/14000000 frames 7679 frame/s eta 14.8 min <photons/frame> 13.99
7270656/14000000 frames 7674 frame/s eta 14.6 min <photons/frame> 13.99
7373216/14000000 frames 7666 frame/s eta 14.4 min <photons/frame> 13.99
7475264/14000000 frames 7658 frame/s eta 14.2 min <photons/frame> 13.99
7577824/14000000 frames 7654 frame/s eta 14.0 min <photons/frame> 13.99
7680384/14000000 frames 7653 frame/s eta 13.8 min <photons/frame> 13.99
7782432/14000000 frames 7651 frame/s eta 13.5 min <photons/frame> 13.99
7884992/14000000 frames 7651 frame/s eta 13.3 min <photons/frame> 13.99
7987552/14000000 frames 7648 frame/s eta 13.1 min <photons/frame> 13.99
8089600/14000000 frames 7648 frame/s eta 12.9 min <photons/frame> 13.98
8192160/14000000 frames 7648 frame/s eta 12.7 min <photons/frame> 13.98
8294720/14000000 frames 7648 frame/s eta 12.4 min <photons/frame> 13.98
8397280/14000000 frames 7648 frame/s eta 12.2 min <photons/frame> 13.98
8499328/14000000 frames 7648 frame/s eta 12.0 min <photons/frame> 13.99
8602048/14000000 frames 7648 frame/s eta 11.8 min <photons/frame> 13.99
8704096/14000000 frames 7649 frame/s eta 11.5 min <photons/frame> 13.99
8806656/14000000 frames 7650 frame/s eta 11.3 min <photons/frame> 13.99
8909216/14000000 frames 7649 frame/s eta 11.1 min <photons/frame> 13.99
9011264/14000000 frames 7649 frame/s eta 10.9 min <photons/frame> 13.99
9113824/14000000 frames 7649 frame/s eta 10.6 min <photons/frame> 13.99
9216384/14000000 frames 7648 frame/s eta 10.4 min <photons/frame> 13.99
9318432/14000000 frames 7647 frame/s eta 10.2 min <photons/frame> 13.99
9420992/14000000 frames 7644 frame/s eta 10.0 min <photons/frame> 13.99
9523552/14000000 frames 7640 frame/s eta 9.8 min <photons/frame> 13.99
9625600/14000000 frames 7642 frame/s eta 9.5 min <photons/frame> 13.99
9728160/14000000 frames 7643 frame/s eta 9.3 min <photons/frame> 13.99
9830720/14000000 frames 7643 frame/s eta 9.1 min <photons/frame> 13.99
9933280/14000000 frames 7643 frame/s eta 8.9 min <photons/frame> 13.99
10035328/14000000 frames 7642 frame/s eta 8.6 min <photons/frame> 13.99
10137888/14000000 frames 7642 frame/s eta 8.4 min <photons/frame> 13.99
10240448/14000000 frames 7641 frame/s eta 8.2 min <photons/frame> 13.99
10342496/14000000 frames 7641 frame/s eta 8.0 min <photons/frame> 13.99
10445056/14000000 frames 7641 frame/s eta 7.8 min <photons/frame> 13.99
10547616/14000000 frames 7640 frame/s eta 7.5 min <photons/frame> 13.99
10649664/14000000 frames 7640 frame/s eta 7.3 min <photons/frame> 13.99
10752224/14000000 frames 7639 frame/s eta 7.1 min <photons/frame> 13.99
10854784/14000000 frames 7638 frame/s eta 6.9 min <photons/frame> 13.99
10956832/14000000 frames 7637 frame/s eta 6.6 min <photons/frame> 13.99
11059392/14000000 frames 7637 frame/s eta 6.4 min <photons/frame> 13.99
11161952/14000000 frames 7637 frame/s eta 6.2 min <photons/frame> 13.99
11264000/14000000 frames 7636 frame/s eta 6.0 min <photons/frame> 13.99
11366560/14000000 frames 7637 frame/s eta 5.7 min <photons/frame> 13.99
11469120/14000000 frames 7636 frame/s eta 5.5 min <photons/frame> 13.99
11571680/14000000 frames 7635 frame/s eta 5.3 min <photons/frame> 13.99
11673728/14000000 frames 7627 frame/s eta 5.1 min <photons/frame> 13.99
11776288/14000000 frames 7622 frame/s eta 4.9 min <photons/frame> 13.99
11878848/14000000 frames 7621 frame/s eta 4.6 min <photons/frame> 13.99
11980896/14000000 frames 7620 frame/s eta 4.4 min <photons/frame> 13.99
12083456/14000000 frames 7620 frame/s eta 4.2 min <photons/frame> 13.99
12186016/14000000 frames 7618 frame/s eta 4.0 min <photons/frame> 13.99
12288064/14000000 frames 7618 frame/s eta 3.7 min <photons/frame> 13.99
12390624/14000000 frames 7618 frame/s eta 3.5 min <photons/frame> 13.99
12493184/14000000 frames 7617 frame/s eta 3.3 min <photons/frame> 13.99
12595232/14000000 frames 7617 frame/s eta 3.1 min <photons/frame> 13.99
12697792/14000000 frames 7616 frame/s eta 2.8 min <photons/frame> 13.99
12800000/14000000 frames 7615 frame/s eta 2.6 min <photons/frame> 13.99
12902560/14000000 frames 7615 frame/s eta 2.4 min <photons/frame> 13.99
13005120/14000000 frames 7614 frame/s eta 2.2 min <photons/frame> 13.99
13107680/14000000 frames 7613 frame/s eta 2.0 min <photons/frame> 13.99
13209728/14000000 frames 7613 frame/s eta 1.7 min <photons/frame> 13.99
13312288/14000000 frames 7613 frame/s eta 1.5 min <photons/frame> 13.99
13414848/14000000 frames 7613 frame/s eta 1.3 min <photons/frame> 13.99
13516896/14000000 frames 7612 frame/s eta 1.1 min <photons/frame> 13.99
13619456/14000000 frames 7611 frame/s eta 0.8 min <photons/frame> 13.99
13722016/14000000 frames 7611 frame/s eta 0.6 min <photons/frame> 13.99
13824064/14000000 frames 7604 frame/s eta 0.4 min <photons/frame> 13.99
13926624/14000000 frames 7604 frame/s eta 0.2 min <photons/frame> 13.99
[infer] self-flattening 195900649 positions, sub-pixel excess rms 23.32 %
[EtaInterpolation]: Building eta histogram from points (Chunked)...
[EtaInterpolation]: Performing bilinear interpolation (Chunked)...
[infer] after flattening, sub-pixel excess rms 3.09 %
[infer] 14000000 frames in 1841s (7603 frame/s), 195900649 photons, 13.99/frame
[infer] occupancy: 0.162% averaged over the valid region, 0.675% inside the illuminated area (1646 of 8649 px)
[infer] wrote /mnt/sls_det_storage/moench_data/MLXID/InferenceResults/GridBased/Edge_3filters_pos0_12keV_poly2to20
@@ -0,0 +1,44 @@
[infer] run Flat_0filters_12keV
[infer] model Results/260927_poly2to20keV_Moench040_c96_00/Models/best.pth (epoch 182), R=4 -> valid region 93x93 of 101x101
[infer] pedestal from pedestal_run, common mode 'column', 3500000 frames of 3500000 (35 files, step 1)
102560/3500000 frames 9859 frame/s eta 5.7 min <photons/frame> 350.58
205120/3500000 frames 10361 frame/s eta 5.3 min <photons/frame> 350.40
307680/3500000 frames 10485 frame/s eta 5.1 min <photons/frame> 350.17
409728/3500000 frames 10563 frame/s eta 4.9 min <photons/frame> 349.94
512288/3500000 frames 10601 frame/s eta 4.7 min <photons/frame> 349.76
614848/3500000 frames 10624 frame/s eta 4.5 min <photons/frame> 349.63
716896/3500000 frames 10650 frame/s eta 4.4 min <photons/frame> 350.06
819456/3500000 frames 10656 frame/s eta 4.2 min <photons/frame> 350.41
922016/3500000 frames 10655 frame/s eta 4.0 min <photons/frame> 350.62
1024064/3500000 frames 10676 frame/s eta 3.9 min <photons/frame> 350.74
1126624/3500000 frames 10689 frame/s eta 3.7 min <photons/frame> 350.79
1229184/3500000 frames 10703 frame/s eta 3.5 min <photons/frame> 350.81
1331232/3500000 frames 10711 frame/s eta 3.4 min <photons/frame> 350.80
1433792/3500000 frames 10721 frame/s eta 3.2 min <photons/frame> 350.76
1536352/3500000 frames 10720 frame/s eta 3.1 min <photons/frame> 350.70
1638400/3500000 frames 10722 frame/s eta 2.9 min <photons/frame> 350.63
1740960/3500000 frames 10719 frame/s eta 2.7 min <photons/frame> 350.52
1843520/3500000 frames 10707 frame/s eta 2.6 min <photons/frame> 350.48
1946080/3500000 frames 10700 frame/s eta 2.4 min <photons/frame> 350.62
2048128/3500000 frames 10694 frame/s eta 2.3 min <photons/frame> 350.71
2150688/3500000 frames 10694 frame/s eta 2.1 min <photons/frame> 350.78
2253248/3500000 frames 10677 frame/s eta 1.9 min <photons/frame> 350.82
2355296/3500000 frames 10654 frame/s eta 1.8 min <photons/frame> 350.85
2457856/3500000 frames 10644 frame/s eta 1.6 min <photons/frame> 350.85
2560416/3500000 frames 10628 frame/s eta 1.5 min <photons/frame> 350.83
2662464/3500000 frames 10616 frame/s eta 1.3 min <photons/frame> 350.81
2765024/3500000 frames 10613 frame/s eta 1.2 min <photons/frame> 350.76
2867584/3500000 frames 10600 frame/s eta 1.0 min <photons/frame> 350.71
2969632/3500000 frames 10596 frame/s eta 0.8 min <photons/frame> 350.64
3072192/3500000 frames 10579 frame/s eta 0.7 min <photons/frame> 350.66
3174752/3500000 frames 10564 frame/s eta 0.5 min <photons/frame> 350.74
3276800/3500000 frames 10559 frame/s eta 0.4 min <photons/frame> 350.79
3379360/3500000 frames 10551 frame/s eta 0.2 min <photons/frame> 350.83
3481920/3500000 frames 10548 frame/s eta 0.0 min <photons/frame> 350.86
[infer] self-flattening 1228029002 positions, sub-pixel excess rms 18.61 %
[EtaInterpolation]: Building eta histogram from points (Chunked)...
[EtaInterpolation]: Performing bilinear interpolation (Chunked)...
[infer] after flattening, sub-pixel excess rms 1.27 %
[infer] 3500000 frames in 332s (10546 frame/s), 1228029002 photons, 350.87/frame
[infer] occupancy: 4.057% averaged over the valid region, 9.943% inside the illuminated area (2734 of 8649 px)
[infer] wrote /mnt/sls_det_storage/moench_data/MLXID/InferenceResults/GridBased/Flat_0filters_12keV_poly2to20
@@ -0,0 +1,78 @@
[infer] run Flat_1filters_12keV
[infer] model Results/260927_poly2to20keV_Moench040_c96_00/Models/best.pth (epoch 182), R=4 -> valid region 93x93 of 101x101
[infer] pedestal from pedestal_run, common mode 'column', 7000000 frames of 7000000 (70 files, step 1)
102560/7000000 frames 10352 frame/s eta 11.1 min <photons/frame> 143.57
205120/7000000 frames 10947 frame/s eta 10.3 min <photons/frame> 143.50
307680/7000000 frames 11160 frame/s eta 10.0 min <photons/frame> 143.43
409728/7000000 frames 11303 frame/s eta 9.7 min <photons/frame> 143.68
512288/7000000 frames 11398 frame/s eta 9.5 min <photons/frame> 143.96
614848/7000000 frames 11417 frame/s eta 9.3 min <photons/frame> 144.10
716896/7000000 frames 11466 frame/s eta 9.1 min <photons/frame> 144.18
819456/7000000 frames 11493 frame/s eta 9.0 min <photons/frame> 144.20
922016/7000000 frames 11514 frame/s eta 8.8 min <photons/frame> 144.21
1024064/7000000 frames 11529 frame/s eta 8.6 min <photons/frame> 144.20
1126624/7000000 frames 11535 frame/s eta 8.5 min <photons/frame> 144.17
1229184/7000000 frames 11549 frame/s eta 8.3 min <photons/frame> 144.15
1331232/7000000 frames 11531 frame/s eta 8.2 min <photons/frame> 144.10
1433792/7000000 frames 11499 frame/s eta 8.1 min <photons/frame> 144.05
1536352/7000000 frames 11477 frame/s eta 7.9 min <photons/frame> 144.01
1638400/7000000 frames 11452 frame/s eta 7.8 min <photons/frame> 144.08
1740960/7000000 frames 11413 frame/s eta 7.7 min <photons/frame> 144.13
1843520/7000000 frames 11424 frame/s eta 7.5 min <photons/frame> 144.16
1946080/7000000 frames 11439 frame/s eta 7.4 min <photons/frame> 144.18
2048128/7000000 frames 11443 frame/s eta 7.2 min <photons/frame> 144.20
2150688/7000000 frames 11452 frame/s eta 7.1 min <photons/frame> 144.21
2253248/7000000 frames 11454 frame/s eta 6.9 min <photons/frame> 144.21
2355296/7000000 frames 11454 frame/s eta 6.8 min <photons/frame> 144.20
2457856/7000000 frames 11435 frame/s eta 6.6 min <photons/frame> 144.17
2560416/7000000 frames 11427 frame/s eta 6.5 min <photons/frame> 144.15
2662464/7000000 frames 11415 frame/s eta 6.3 min <photons/frame> 144.12
2765024/7000000 frames 11415 frame/s eta 6.2 min <photons/frame> 144.10
2867584/7000000 frames 11389 frame/s eta 6.0 min <photons/frame> 144.14
2969632/7000000 frames 11398 frame/s eta 5.9 min <photons/frame> 144.17
3072192/7000000 frames 11402 frame/s eta 5.7 min <photons/frame> 144.19
3174752/7000000 frames 11412 frame/s eta 5.6 min <photons/frame> 144.20
3276800/7000000 frames 11419 frame/s eta 5.4 min <photons/frame> 144.21
3379360/7000000 frames 11429 frame/s eta 5.3 min <photons/frame> 144.21
3481920/7000000 frames 11433 frame/s eta 5.1 min <photons/frame> 144.21
3584480/7000000 frames 11439 frame/s eta 5.0 min <photons/frame> 144.20
3686528/7000000 frames 11446 frame/s eta 4.8 min <photons/frame> 144.18
3789088/7000000 frames 11434 frame/s eta 4.7 min <photons/frame> 144.17
3891648/7000000 frames 11436 frame/s eta 4.5 min <photons/frame> 144.15
3993696/7000000 frames 11432 frame/s eta 4.4 min <photons/frame> 144.15
4096256/7000000 frames 11425 frame/s eta 4.2 min <photons/frame> 144.17
4198816/7000000 frames 11425 frame/s eta 4.1 min <photons/frame> 144.19
4301024/7000000 frames 11414 frame/s eta 3.9 min <photons/frame> 144.20
4403584/7000000 frames 11412 frame/s eta 3.8 min <photons/frame> 144.21
4505632/7000000 frames 11412 frame/s eta 3.6 min <photons/frame> 144.22
4608192/7000000 frames 11395 frame/s eta 3.5 min <photons/frame> 144.22
4710752/7000000 frames 11392 frame/s eta 3.3 min <photons/frame> 144.22
4812800/7000000 frames 11380 frame/s eta 3.2 min <photons/frame> 144.21
4915360/7000000 frames 11377 frame/s eta 3.1 min <photons/frame> 144.20
5017920/7000000 frames 11371 frame/s eta 2.9 min <photons/frame> 144.19
5120480/7000000 frames 11375 frame/s eta 2.8 min <photons/frame> 144.17
5222528/7000000 frames 11380 frame/s eta 2.6 min <photons/frame> 144.18
5325088/7000000 frames 11381 frame/s eta 2.5 min <photons/frame> 144.20
5427648/7000000 frames 11383 frame/s eta 2.3 min <photons/frame> 144.21
5529696/7000000 frames 11383 frame/s eta 2.2 min <photons/frame> 144.22
5632256/7000000 frames 11384 frame/s eta 2.0 min <photons/frame> 144.23
5734816/7000000 frames 11381 frame/s eta 1.9 min <photons/frame> 144.23
5836864/7000000 frames 11375 frame/s eta 1.7 min <photons/frame> 144.23
5939424/7000000 frames 11375 frame/s eta 1.6 min <photons/frame> 144.23
6041984/7000000 frames 11371 frame/s eta 1.4 min <photons/frame> 144.22
6144032/7000000 frames 11368 frame/s eta 1.3 min <photons/frame> 144.21
6246592/7000000 frames 11363 frame/s eta 1.1 min <photons/frame> 144.20
6349152/7000000 frames 11361 frame/s eta 1.0 min <photons/frame> 144.19
6451200/7000000 frames 11360 frame/s eta 0.8 min <photons/frame> 144.20
6553760/7000000 frames 11356 frame/s eta 0.7 min <photons/frame> 144.21
6656320/7000000 frames 11354 frame/s eta 0.5 min <photons/frame> 144.22
6758880/7000000 frames 11355 frame/s eta 0.4 min <photons/frame> 144.23
6860928/7000000 frames 11357 frame/s eta 0.2 min <photons/frame> 144.24
6963488/7000000 frames 11357 frame/s eta 0.1 min <photons/frame> 144.24
[infer] self-flattening 1009680220 positions, sub-pixel excess rms 20.01 %
[EtaInterpolation]: Building eta histogram from points (Chunked)...
[EtaInterpolation]: Performing bilinear interpolation (Chunked)...
[infer] after flattening, sub-pixel excess rms 2.22 %
[infer] 7000000 frames in 616s (11355 frame/s), 1009680220 photons, 144.24/frame
[infer] occupancy: 1.668% averaged over the valid region, 4.085% inside the illuminated area (2742 of 8649 px)
[infer] wrote /mnt/sls_det_storage/moench_data/MLXID/InferenceResults/GridBased/Flat_1filters_12keV_poly2to20
@@ -0,0 +1,78 @@
[infer] run Flat_2filters_12keV
[infer] model Results/260927_poly2to20keV_Moench040_c96_00/Models/best.pth (epoch 182), R=4 -> valid region 93x93 of 101x101
[infer] pedestal from pedestal_run, common mode 'column', 7000000 frames of 7000000 (70 files, step 1)
102560/7000000 frames 6233 frame/s eta 18.4 min <photons/frame> 58.77
205120/7000000 frames 6964 frame/s eta 16.3 min <photons/frame> 58.75
307680/7000000 frames 7239 frame/s eta 15.4 min <photons/frame> 58.71
409728/7000000 frames 7383 frame/s eta 14.9 min <photons/frame> 58.67
512288/7000000 frames 7471 frame/s eta 14.5 min <photons/frame> 58.65
614848/7000000 frames 7532 frame/s eta 14.1 min <photons/frame> 58.61
716896/7000000 frames 7574 frame/s eta 13.8 min <photons/frame> 58.58
819456/7000000 frames 7599 frame/s eta 13.6 min <photons/frame> 58.55
922016/7000000 frames 7629 frame/s eta 13.3 min <photons/frame> 58.53
1024064/7000000 frames 7643 frame/s eta 13.0 min <photons/frame> 58.58
1126624/7000000 frames 7662 frame/s eta 12.8 min <photons/frame> 58.61
1229184/7000000 frames 7685 frame/s eta 12.5 min <photons/frame> 58.64
1331232/7000000 frames 7698 frame/s eta 12.3 min <photons/frame> 58.65
1433792/7000000 frames 7708 frame/s eta 12.0 min <photons/frame> 58.65
1536352/7000000 frames 7713 frame/s eta 11.8 min <photons/frame> 58.66
1638400/7000000 frames 7723 frame/s eta 11.6 min <photons/frame> 58.65
1740960/7000000 frames 7737 frame/s eta 11.3 min <photons/frame> 58.64
1843520/7000000 frames 7746 frame/s eta 11.1 min <photons/frame> 58.63
1946080/7000000 frames 7755 frame/s eta 10.9 min <photons/frame> 58.62
2048128/7000000 frames 7749 frame/s eta 10.7 min <photons/frame> 58.60
2150688/7000000 frames 7754 frame/s eta 10.4 min <photons/frame> 58.60
2253248/7000000 frames 7729 frame/s eta 10.2 min <photons/frame> 58.62
2355296/7000000 frames 7699 frame/s eta 10.1 min <photons/frame> 58.64
2457856/7000000 frames 7707 frame/s eta 9.8 min <photons/frame> 58.65
2560416/7000000 frames 7713 frame/s eta 9.6 min <photons/frame> 58.66
2662464/7000000 frames 7720 frame/s eta 9.4 min <photons/frame> 58.67
2765024/7000000 frames 7720 frame/s eta 9.1 min <photons/frame> 58.67
2867584/7000000 frames 7724 frame/s eta 8.9 min <photons/frame> 58.67
2969632/7000000 frames 7728 frame/s eta 8.7 min <photons/frame> 58.66
3072192/7000000 frames 7729 frame/s eta 8.5 min <photons/frame> 58.66
3174752/7000000 frames 7731 frame/s eta 8.2 min <photons/frame> 58.65
3276800/7000000 frames 7732 frame/s eta 8.0 min <photons/frame> 58.64
3379360/7000000 frames 7734 frame/s eta 7.8 min <photons/frame> 58.65
3481920/7000000 frames 7736 frame/s eta 7.6 min <photons/frame> 58.66
3584480/7000000 frames 7734 frame/s eta 7.4 min <photons/frame> 58.67
3686528/7000000 frames 7737 frame/s eta 7.1 min <photons/frame> 58.68
3789088/7000000 frames 7735 frame/s eta 6.9 min <photons/frame> 58.69
3891648/7000000 frames 7733 frame/s eta 6.7 min <photons/frame> 58.69
3993696/7000000 frames 7732 frame/s eta 6.5 min <photons/frame> 58.69
4096256/7000000 frames 7733 frame/s eta 6.3 min <photons/frame> 58.69
4198816/7000000 frames 7736 frame/s eta 6.0 min <photons/frame> 58.68
4301024/7000000 frames 7733 frame/s eta 5.8 min <photons/frame> 58.68
4403584/7000000 frames 7728 frame/s eta 5.6 min <photons/frame> 58.67
4505632/7000000 frames 7701 frame/s eta 5.4 min <photons/frame> 58.67
4608192/7000000 frames 7700 frame/s eta 5.2 min <photons/frame> 58.68
4710752/7000000 frames 7702 frame/s eta 5.0 min <photons/frame> 58.69
4812800/7000000 frames 7702 frame/s eta 4.7 min <photons/frame> 58.69
4915360/7000000 frames 7702 frame/s eta 4.5 min <photons/frame> 58.70
5017920/7000000 frames 7703 frame/s eta 4.3 min <photons/frame> 58.70
5120480/7000000 frames 7706 frame/s eta 4.1 min <photons/frame> 58.70
5222528/7000000 frames 7706 frame/s eta 3.8 min <photons/frame> 58.71
5325088/7000000 frames 7706 frame/s eta 3.6 min <photons/frame> 58.70
5427648/7000000 frames 7707 frame/s eta 3.4 min <photons/frame> 58.70
5529696/7000000 frames 7707 frame/s eta 3.2 min <photons/frame> 58.70
5632256/7000000 frames 7706 frame/s eta 3.0 min <photons/frame> 58.70
5734816/7000000 frames 7709 frame/s eta 2.7 min <photons/frame> 58.70
5836864/7000000 frames 7710 frame/s eta 2.5 min <photons/frame> 58.70
5939424/7000000 frames 7711 frame/s eta 2.3 min <photons/frame> 58.71
6041984/7000000 frames 7712 frame/s eta 2.1 min <photons/frame> 58.71
6144032/7000000 frames 7710 frame/s eta 1.9 min <photons/frame> 58.72
6246592/7000000 frames 7711 frame/s eta 1.6 min <photons/frame> 58.72
6349152/7000000 frames 7711 frame/s eta 1.4 min <photons/frame> 58.72
6451200/7000000 frames 7709 frame/s eta 1.2 min <photons/frame> 58.72
6553760/7000000 frames 7704 frame/s eta 1.0 min <photons/frame> 58.72
6656320/7000000 frames 7699 frame/s eta 0.7 min <photons/frame> 58.72
6758880/7000000 frames 7699 frame/s eta 0.5 min <photons/frame> 58.72
6860928/7000000 frames 7700 frame/s eta 0.3 min <photons/frame> 58.71
6963488/7000000 frames 7701 frame/s eta 0.1 min <photons/frame> 58.71
[infer] self-flattening 411015222 positions, sub-pixel excess rms 22.20 %
[EtaInterpolation]: Building eta histogram from points (Chunked)...
[EtaInterpolation]: Performing bilinear interpolation (Chunked)...
[infer] after flattening, sub-pixel excess rms 2.84 %
[infer] 7000000 frames in 909s (7700 frame/s), 411015222 photons, 58.72/frame
[infer] occupancy: 0.679% averaged over the valid region, 1.656% inside the illuminated area (2763 of 8649 px)
[infer] wrote /mnt/sls_det_storage/moench_data/MLXID/InferenceResults/GridBased/Flat_2filters_12keV_poly2to20
@@ -0,0 +1,146 @@
[infer] run Flat_3filters_pos0_12keV
[infer] model Results/260927_poly2to20keV_Moench040_c96_00/Models/best.pth (epoch 182), R=4 -> valid region 93x93 of 101x101
[infer] pedestal from pedestal_run, common mode 'column', 14000000 frames of 14000000 (140 files, step 1)
102560/14000000 frames 7264 frame/s eta 31.9 min <photons/frame> 24.12
205120/14000000 frames 7636 frame/s eta 30.1 min <photons/frame> 24.11
307680/14000000 frames 7327 frame/s eta 31.1 min <photons/frame> 24.11
409728/14000000 frames 7419 frame/s eta 30.5 min <photons/frame> 24.11
512288/14000000 frames 7559 frame/s eta 29.7 min <photons/frame> 24.09
614848/14000000 frames 7625 frame/s eta 29.3 min <photons/frame> 24.08
716896/14000000 frames 7681 frame/s eta 28.8 min <photons/frame> 24.07
819456/14000000 frames 7717 frame/s eta 28.5 min <photons/frame> 24.10
922016/14000000 frames 7752 frame/s eta 28.1 min <photons/frame> 24.12
1024064/14000000 frames 7774 frame/s eta 27.8 min <photons/frame> 24.13
1126624/14000000 frames 7799 frame/s eta 27.5 min <photons/frame> 24.14
1229184/14000000 frames 7821 frame/s eta 27.2 min <photons/frame> 24.14
1331232/14000000 frames 7835 frame/s eta 26.9 min <photons/frame> 24.14
1433792/14000000 frames 7845 frame/s eta 26.7 min <photons/frame> 24.14
1536352/14000000 frames 7859 frame/s eta 26.4 min <photons/frame> 24.14
1638400/14000000 frames 7860 frame/s eta 26.2 min <photons/frame> 24.13
1740960/14000000 frames 7873 frame/s eta 26.0 min <photons/frame> 24.12
1843520/14000000 frames 7874 frame/s eta 25.7 min <photons/frame> 24.12
1946080/14000000 frames 7885 frame/s eta 25.5 min <photons/frame> 24.12
2048128/14000000 frames 7884 frame/s eta 25.3 min <photons/frame> 24.13
2150688/14000000 frames 7891 frame/s eta 25.0 min <photons/frame> 24.14
2253248/14000000 frames 7894 frame/s eta 24.8 min <photons/frame> 24.14
2355296/14000000 frames 7900 frame/s eta 24.6 min <photons/frame> 24.14
2457856/14000000 frames 7906 frame/s eta 24.3 min <photons/frame> 24.15
2560416/14000000 frames 7904 frame/s eta 24.1 min <photons/frame> 24.14
2662464/14000000 frames 7904 frame/s eta 23.9 min <photons/frame> 24.14
2765024/14000000 frames 7888 frame/s eta 23.7 min <photons/frame> 24.14
2867584/14000000 frames 7892 frame/s eta 23.5 min <photons/frame> 24.14
2969632/14000000 frames 7893 frame/s eta 23.3 min <photons/frame> 24.13
3072192/14000000 frames 7898 frame/s eta 23.1 min <photons/frame> 24.13
3174752/14000000 frames 7899 frame/s eta 22.8 min <photons/frame> 24.13
3276800/14000000 frames 7897 frame/s eta 22.6 min <photons/frame> 24.14
3379360/14000000 frames 7910 frame/s eta 22.4 min <photons/frame> 24.14
3481920/14000000 frames 7925 frame/s eta 22.1 min <photons/frame> 24.14
3584480/14000000 frames 7888 frame/s eta 22.0 min <photons/frame> 24.15
3686528/14000000 frames 7859 frame/s eta 21.9 min <photons/frame> 24.15
3789088/14000000 frames 7831 frame/s eta 21.7 min <photons/frame> 24.15
3891648/14000000 frames 7885 frame/s eta 21.4 min <photons/frame> 24.14
3993696/14000000 frames 7946 frame/s eta 21.0 min <photons/frame> 24.14
4096256/14000000 frames 7938 frame/s eta 20.8 min <photons/frame> 24.14
4198816/14000000 frames 7931 frame/s eta 20.6 min <photons/frame> 24.14
4301024/14000000 frames 7929 frame/s eta 20.4 min <photons/frame> 24.14
4403584/14000000 frames 7929 frame/s eta 20.2 min <photons/frame> 24.14
4505632/14000000 frames 7928 frame/s eta 20.0 min <photons/frame> 24.14
4608192/14000000 frames 7926 frame/s eta 19.7 min <photons/frame> 24.15
4710752/14000000 frames 7924 frame/s eta 19.5 min <photons/frame> 24.15
4812800/14000000 frames 7921 frame/s eta 19.3 min <photons/frame> 24.15
4915360/14000000 frames 7912 frame/s eta 19.1 min <photons/frame> 24.15
5017920/14000000 frames 7901 frame/s eta 18.9 min <photons/frame> 24.15
5120480/14000000 frames 7900 frame/s eta 18.7 min <photons/frame> 24.15
5222528/14000000 frames 7902 frame/s eta 18.5 min <photons/frame> 24.15
5325088/14000000 frames 7902 frame/s eta 18.3 min <photons/frame> 24.14
5427648/14000000 frames 7902 frame/s eta 18.1 min <photons/frame> 24.14
5529696/14000000 frames 7901 frame/s eta 17.9 min <photons/frame> 24.14
5632256/14000000 frames 7901 frame/s eta 17.7 min <photons/frame> 24.14
5734816/14000000 frames 7901 frame/s eta 17.4 min <photons/frame> 24.15
5836864/14000000 frames 7899 frame/s eta 17.2 min <photons/frame> 24.15
5939424/14000000 frames 7898 frame/s eta 17.0 min <photons/frame> 24.15
6041984/14000000 frames 7894 frame/s eta 16.8 min <photons/frame> 24.15
6144032/14000000 frames 7893 frame/s eta 16.6 min <photons/frame> 24.15
6246592/14000000 frames 7892 frame/s eta 16.4 min <photons/frame> 24.15
6349152/14000000 frames 7889 frame/s eta 16.2 min <photons/frame> 24.15
6451200/14000000 frames 7886 frame/s eta 16.0 min <photons/frame> 24.15
6553760/14000000 frames 7884 frame/s eta 15.7 min <photons/frame> 24.15
6656320/14000000 frames 7883 frame/s eta 15.5 min <photons/frame> 24.15
6758880/14000000 frames 7883 frame/s eta 15.3 min <photons/frame> 24.15
6860928/14000000 frames 7881 frame/s eta 15.1 min <photons/frame> 24.15
6963488/14000000 frames 7879 frame/s eta 14.9 min <photons/frame> 24.15
7066048/14000000 frames 7876 frame/s eta 14.7 min <photons/frame> 24.15
7168096/14000000 frames 7869 frame/s eta 14.5 min <photons/frame> 24.16
7270656/14000000 frames 7861 frame/s eta 14.3 min <photons/frame> 24.16
7373216/14000000 frames 7860 frame/s eta 14.1 min <photons/frame> 24.16
7475264/14000000 frames 7859 frame/s eta 13.8 min <photons/frame> 24.16
7577824/14000000 frames 7859 frame/s eta 13.6 min <photons/frame> 24.16
7680384/14000000 frames 7859 frame/s eta 13.4 min <photons/frame> 24.15
7782432/14000000 frames 7858 frame/s eta 13.2 min <photons/frame> 24.15
7884992/14000000 frames 7856 frame/s eta 13.0 min <photons/frame> 24.15
7987552/14000000 frames 7853 frame/s eta 12.8 min <photons/frame> 24.15
8089600/14000000 frames 7851 frame/s eta 12.5 min <photons/frame> 24.16
8192160/14000000 frames 7850 frame/s eta 12.3 min <photons/frame> 24.16
8294720/14000000 frames 7849 frame/s eta 12.1 min <photons/frame> 24.16
8397280/14000000 frames 7848 frame/s eta 11.9 min <photons/frame> 24.16
8499328/14000000 frames 7847 frame/s eta 11.7 min <photons/frame> 24.16
8602048/14000000 frames 7847 frame/s eta 11.5 min <photons/frame> 24.16
8704096/14000000 frames 7846 frame/s eta 11.3 min <photons/frame> 24.16
8806656/14000000 frames 7844 frame/s eta 11.0 min <photons/frame> 24.16
8909216/14000000 frames 7844 frame/s eta 10.8 min <photons/frame> 24.16
9011264/14000000 frames 7844 frame/s eta 10.6 min <photons/frame> 24.16
9113824/14000000 frames 7841 frame/s eta 10.4 min <photons/frame> 24.16
9216384/14000000 frames 7840 frame/s eta 10.2 min <photons/frame> 24.16
9318432/14000000 frames 7834 frame/s eta 10.0 min <photons/frame> 24.16
9420992/14000000 frames 7831 frame/s eta 9.7 min <photons/frame> 24.16
9523552/14000000 frames 7831 frame/s eta 9.5 min <photons/frame> 24.16
9625600/14000000 frames 7830 frame/s eta 9.3 min <photons/frame> 24.16
9728160/14000000 frames 7829 frame/s eta 9.1 min <photons/frame> 24.16
9830720/14000000 frames 7828 frame/s eta 8.9 min <photons/frame> 24.16
9933280/14000000 frames 7828 frame/s eta 8.7 min <photons/frame> 24.16
10035328/14000000 frames 7827 frame/s eta 8.4 min <photons/frame> 24.16
10137888/14000000 frames 7826 frame/s eta 8.2 min <photons/frame> 24.16
10240448/14000000 frames 7824 frame/s eta 8.0 min <photons/frame> 24.16
10342496/14000000 frames 7822 frame/s eta 7.8 min <photons/frame> 24.16
10445056/14000000 frames 7820 frame/s eta 7.6 min <photons/frame> 24.16
10547616/14000000 frames 7820 frame/s eta 7.4 min <photons/frame> 24.16
10649664/14000000 frames 7820 frame/s eta 7.1 min <photons/frame> 24.16
10752224/14000000 frames 7818 frame/s eta 6.9 min <photons/frame> 24.16
10854784/14000000 frames 7817 frame/s eta 6.7 min <photons/frame> 24.17
10956832/14000000 frames 7815 frame/s eta 6.5 min <photons/frame> 24.16
11059392/14000000 frames 7814 frame/s eta 6.3 min <photons/frame> 24.16
11161952/14000000 frames 7814 frame/s eta 6.1 min <photons/frame> 24.16
11264000/14000000 frames 7813 frame/s eta 5.8 min <photons/frame> 24.16
11366560/14000000 frames 7812 frame/s eta 5.6 min <photons/frame> 24.16
11469120/14000000 frames 7811 frame/s eta 5.4 min <photons/frame> 24.16
11571680/14000000 frames 7803 frame/s eta 5.2 min <photons/frame> 24.16
11673728/14000000 frames 7802 frame/s eta 5.0 min <photons/frame> 24.16
11776288/14000000 frames 7801 frame/s eta 4.8 min <photons/frame> 24.16
11878848/14000000 frames 7801 frame/s eta 4.5 min <photons/frame> 24.17
11980896/14000000 frames 7800 frame/s eta 4.3 min <photons/frame> 24.17
12083456/14000000 frames 7799 frame/s eta 4.1 min <photons/frame> 24.17
12186016/14000000 frames 7798 frame/s eta 3.9 min <photons/frame> 24.17
12288064/14000000 frames 7798 frame/s eta 3.7 min <photons/frame> 24.17
12390624/14000000 frames 7798 frame/s eta 3.4 min <photons/frame> 24.16
12493184/14000000 frames 7796 frame/s eta 3.2 min <photons/frame> 24.16
12595232/14000000 frames 7796 frame/s eta 3.0 min <photons/frame> 24.16
12697792/14000000 frames 7795 frame/s eta 2.8 min <photons/frame> 24.16
12800000/14000000 frames 7795 frame/s eta 2.6 min <photons/frame> 24.16
12902560/14000000 frames 7795 frame/s eta 2.3 min <photons/frame> 24.16
13005120/14000000 frames 7794 frame/s eta 2.1 min <photons/frame> 24.17
13107680/14000000 frames 7794 frame/s eta 1.9 min <photons/frame> 24.17
13209728/14000000 frames 7794 frame/s eta 1.7 min <photons/frame> 24.17
13312288/14000000 frames 7792 frame/s eta 1.5 min <photons/frame> 24.17
13414848/14000000 frames 7792 frame/s eta 1.3 min <photons/frame> 24.17
13516896/14000000 frames 7791 frame/s eta 1.0 min <photons/frame> 24.17
13619456/14000000 frames 7788 frame/s eta 0.8 min <photons/frame> 24.17
13722016/14000000 frames 7782 frame/s eta 0.6 min <photons/frame> 24.16
13824064/14000000 frames 7776 frame/s eta 0.4 min <photons/frame> 24.16
13926624/14000000 frames 7775 frame/s eta 0.2 min <photons/frame> 24.16
[infer] self-flattening 338305423 positions, sub-pixel excess rms 23.37 %
[EtaInterpolation]: Building eta histogram from points (Chunked)...
[EtaInterpolation]: Performing bilinear interpolation (Chunked)...
[infer] after flattening, sub-pixel excess rms 3.14 %
[infer] 14000000 frames in 1801s (7774 frame/s), 338305423 photons, 24.16/frame
[infer] occupancy: 0.279% averaged over the valid region, 0.682% inside the illuminated area (2750 of 8649 px)
[infer] wrote /mnt/sls_det_storage/moench_data/MLXID/InferenceResults/GridBased/Flat_3filters_pos0_12keV_poly2to20
Loaded 100 of 222 files, more files were not shown because too many files have changed in this diff. Show more