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florez_j committed 2023-08-09 16:37:29 +02:00
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Add-Ons/ADRESSTools_vEos/MATools_IceLine_VNS/CurvatureAndWarpingGuide.doc
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Add-Ons/ADRESSTools_vEos/MATools_IceLine_VNS/CurveFit.dat
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% WAM data: Derived from the data taken on 10.07.2013 with Ag 3d doublet,
% only the high-energy peak, Ek~350eV, range +/-14deg, Uconv=-0.1*Ep
1.0000000e+00 3.0000000e+01 5.7549797e-08 2.1158619e-07 -3.3674509e-05 -8.4042108e-05
1.0000000e+00 3.5000000e+01 1.0505235e-07 7.1089350e-07 -5.1345310e-05 -1.5238416e-04
1.0000000e+00 4.0000000e+01 9.2186459e-08 6.4460407e-07 -4.5949043e-05 -1.3554235e-04
1.0000000e+00 5.0000000e+01 7.0686093e-08 5.2940559e-07 -3.9347857e-05 -1.1235947e-04
1.0000000e+00 6.0000000e+01 5.6283692e-08 4.5041152e-07 -3.3508238e-05 -9.4024728e-05
1.0000000e+00 7.0000000e+01 4.6072350e-08 3.8347197e-07 -3.0571355e-05 -8.1005505e-05
1.0000000e+00 8.0000000e+01 2.9146535e-08 2.2734112e-07 -2.4364012e-05 -5.0864007e-05
1.0000000e+00 9.0000000e+01 2.5496097e-08 1.9852660e-07 -2.4291307e-05 -4.4976466e-05
1.0000000e+00 1.0000000e+02 3.1989259e-08 2.4854284e-07 -2.8141413e-05 -5.4139857e-05
1.0000000e+00 1.1000000e+02 2.7389427e-08 2.5019251e-07 -2.6970258e-05 -5.4302099e-05
1.0000000e+00 1.2000000e+02 2.2344655e-08 2.3894543e-07 -2.5521078e-05 -5.1900527e-05
1.0000000e+00 1.3000000e+02 2.0850462e-08 2.2253980e-07 -2.4625183e-05 -4.9655316e-05
1.0000000e+00 1.5000000e+02 1.8535201e-08 2.1325583e-07 -2.3211084e-05 -4.6419003e-05
1.0000000e+00 1.7000000e+02 1.7530471e-08 1.9432319e-07 -2.2085372e-05 -4.2948120e-05
1.0000000e+00 1.9000000e+02 1.7808490e-08 1.9211485e-07 -2.1718196e-05 -4.1936317e-05
1.0000000e+00 2.1000000e+02 1.6743817e-08 1.7716850e-07 -2.1202846e-05 -3.9064115e-05
1.0000000e+00 2.3000000e+02 1.5972928e-08 1.6835411e-07 -2.0703645e-05 -3.7292074e-05
% MAM data: Derived from the data taken on 06.02.2014 with Au 4f doublet,
% only the high-energy peak, Ek=600eV, range +/-10deg, Uconv=-0.1*Ep
2.0000000e+00 5.0000000e+01 -5.1437913e-08 -1.2542236e-08 -1.7764284e-05 -3.7514664e-05
2.0000000e+00 6.0000000e+01 -1.8041414e-08 -2.4458453e-08 -2.3996694e-05 -4.1370343e-05
2.0000000e+00 7.0000000e+01 2.9236181e-08 1.2566237e-07 -2.9297142e-05 -5.2360323e-05
2.0000000e+00 8.0000000e+01 1.2752606e-08 7.8533778e-08 -2.7479533e-05 -4.9415261e-05
2.0000000e+00 9.0000000e+01 7.5112234e-09 2.0679238e-08 -2.5652457e-05 -4.2271472e-05
2.0000000e+00 1.0000000e+02 -1.4011202e-08 2.8402782e-09 -2.2424522e-05 -3.9853476e-05
2.0000000e+00 1.1000000e+02 4.0507111e-09 5.9354326e-08 -2.4315809e-05 -4.3545690e-05
2.0000000e+00 1.2000000e+02 1.5488383e-08 8.7218602e-08 -2.5835792e-05 -4.4856094e-05
2.0000000e+00 1.3000000e+02 4.8677328e-09 1.4383923e-07 -2.3652203e-05 -4.6226302e-05
2.0000000e+00 1.5000000e+02 -5.7244407e-08 -5.8666841e-08 -1.7606347e-05 -3.4487768e-05
2.0000000e+00 1.7000000e+02 -4.1382132e-08 -2.8961874e-08 -1.9501614e-05 -3.6009241e-05
2.0000000e+00 1.9000000e+02 -2.2639470e-08 3.7623335e-09 -2.1696643e-05 -3.8397051e-05
2.0000000e+00 2.1000000e+02 -1.2801735e-08 -2.3204288e-08 -2.2944474e-05 -3.6757262e-05
2.0000000e+00 2.4000000e+02 -1.1737097e-08 -5.1748812e-09 -2.2853740e-05 -3.6909846e-05
2.0000000e+00 2.8000000e+02 -7.8257657e-09 1.2411199e-08 -2.3460122e-05 -3.7130127e-05
2.0000000e+00 3.2000000e+02 2.7760873e-09 2.3242272e-08 -2.4619223e-05 -3.7341181e-05
2.0000000e+00 3.6000000e+02 -1.5466724e-08 -1.2627854e-08 -2.2548439e-05 -3.4346397e-05
2.0000000e+00 4.0000000e+02 -1.8199853e-08 -1.9653684e-08 -2.2350511e-05 -3.3019789e-05
% LAD data: Derived from the data taken on 10.07.2013 with As 3d doublet,
% average of two peaks, Ek~450eV, range +/-7deg, Uconv=-0.1*Ep
3.0000000e+00 2.0000000e+01 -5.6590710e-07 3.7657977e-07 -4.5918343e-05 -1.5095901e-04
3.0000000e+00 2.5000000e+01 -4.7487888e-08 8.0426266e-07 -5.3329296e-05 -1.0409184e-04
3.0000000e+00 3.0000000e+01 4.6092656e-08 5.1490354e-07 -5.7203510e-05 -9.6523178e-05
3.0000000e+00 4.0000000e+01 -3.9284756e-08 5.1742300e-07 -5.2464655e-05 -5.7580797e-05
3.0000000e+00 5.0000000e+01 -9.4676429e-08 3.5994451e-07 -5.5091213e-05 -4.8691923e-05
3.0000000e+00 6.0000000e+01 -1.7565702e-09 3.6889550e-07 -5.9880389e-05 -4.8252266e-05
3.0000000e+00 7.0000000e+01 -2.0084433e-08 4.1847882e-07 -5.8378467e-05 -4.8201603e-05
3.0000000e+00 8.0000000e+01 -8.1540589e-09 3.3351325e-07 -5.7895254e-05 -4.5131684e-05
3.0000000e+00 1.0000000e+02 6.1610583e-10 4.3373624e-07 -5.9036927e-05 -4.7745530e-05
3.0000000e+00 1.2000000e+02 -6.0724832e-09 3.4058051e-07 -5.8828172e-05 -4.3386438e-05
3.0000000e+00 1.4000000e+02 2.5038671e-08 2.7496880e-07 -6.0021915e-05 -3.9312189e-05
3.0000000e+00 1.6000000e+02 2.1618208e-09 2.6940645e-07 -5.9964532e-05 -3.9010305e-05
3.0000000e+00 1.8000000e+02 9.8608825e-09 2.5477795e-07 -6.0625964e-05 -3.6786976e-05
3.0000000e+00 2.2000000e+02 3.6290369e-08 2.3779143e-07 -6.1622441e-05 -3.2874057e-05
3.0000000e+00 2.6000000e+02 3.4024333e-08 2.3038477e-07 -6.0573206e-05 -3.1100064e-05
3.0000000e+00 2.6000000e+02 3.4024333e-08 2.3038477e-07 -6.0573206e-05 -3.1100064e-05
Add-Ons/ADRESSTools_vEos/MATools_IceLine_VNS/CurveFit_Uc=0.dat
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% WAM data: Derived from the data taken on 10.07.2013 with Ag3d doublet,
% only the high-energy peak, Ek~350eV, range +/-14deg, Uconv=0
1.0000000e+00 3.0000000e+01 2.1306546e-08 1.4768044e-07 -2.8795764e-05 -8.5032310e-05
% 1.0000000e+00 3.0000000e+01 1.0393199e-07 3.3741764e-07 -3.8090737e-05 -9.8030810e-05
1.0000000e+00 3.5000000e+01 1.0631018e-07 7.5754682e-07 -5.1340744e-05 -1.5328049e-04
1.0000000e+00 4.0000000e+01 1.0080948e-07 6.8498696e-07 -4.7175019e-05 -1.3615200e-04
1.0000000e+00 5.0000000e+01 7.9379740e-08 5.8225266e-07 -4.1056249e-05 -1.1444108e-04
1.0000000e+00 6.0000000e+01 6.4803800e-08 4.9031506e-07 -3.5221582e-05 -9.4853610e-05
1.0000000e+00 7.0000000e+01 5.2840298e-08 4.0994889e-07 -3.2070365e-05 -8.0827960e-05
1.0000000e+00 8.0000000e+01 3.4672706e-08 2.4991694e-07 -2.5523078e-05 -5.1622928e-05
1.0000000e+00 9.0000000e+01 2.8673121e-08 2.1401474e-07 -2.5286271e-05 -4.5141067e-05
1.0000000e+00 1.0000000e+02 2.7832710e-08 2.0968809e-07 -2.5140436e-05 -4.3153996e-05
1.0000000e+00 1.1000000e+02 3.0312848e-08 2.7422049e-07 -2.8034394e-05 -5.4651777e-05
1.0000000e+00 1.2000000e+02 2.7064196e-08 2.6192190e-07 -2.6748270e-05 -5.2730280e-05
1.0000000e+00 1.3000000e+02 2.3602394e-08 2.4425979e-07 -2.5610484e-05 -5.0146420e-05
1.0000000e+00 1.5000000e+02 2.1596039e-08 2.3548527e-07 -2.4195916e-05 -4.7598225e-05
1.0000000e+00 1.7000000e+02 2.2027151e-08 2.2445147e-07 -2.3256239e-05 -4.4669348e-05
1.0000000e+00 1.9000000e+02 2.1021630e-08 2.0826566e-07 -2.2647293e-05 -4.1608327e-05
1.0000000e+00 2.1000000e+02 1.9713603e-08 1.9696854e-07 -2.2082909e-05 -3.9933074e-05
1.0000000e+00 2.3000000e+02 1.6458739e-08 1.6959803e-07 -2.0449888e-05 -3.4962645e-05
% LAD data: Derived from the data taken on 08.09.2011 with Bi4f doublet,
% only the high-energy peak, Ek~335eV, range +/-8deg, Uconv=0.
2.0000000e+00 2.0000000e+01 -3.8292981e-07 -6.8686463e-07 -2.0384950e-05 -4.4744837e-05
2.0000000e+00 3.0000000e+01 -9.1341088e-08 -3.3673794e-07 -3.8264046e-05 -3.3915924e-05
2.0000000e+00 4.0000000e+01 -1.9917581e-08 7.3363282e-08 -4.2197301e-05 -3.1728725e-05
2.0000000e+00 5.0000000e+01 2.7592216e-08 -1.3185723e-07 -4.5099978e-05 -2.6869346e-05
2.0000000e+00 6.0000000e+01 -4.6319220e-08 -8.6985546e-08 -4.2574396e-05 -2.9587033e-05
2.0000000e+00 7.0000000e+01 6.3612583e-08 1.3971578e-07 -4.7547438e-05 -3.1673379e-05
2.0000000e+00 8.0000000e+01 7.1098497e-08 7.5987040e-08 -4.7584179e-05 -3.1804050e-05
2.0000000e+00 1.0000000e+02 3.7604619e-08 -9.4977276e-08 -4.7238403e-05 -2.3134884e-05
2.0000000e+00 1.2500000e+02 -2.9897730e-08 -9.9245647e-08 -4.5563467e-05 -2.1980214e-05
2.0000000e+00 1.5000000e+02 5.9584031e-08 1.8400067e-07 -4.9629554e-05 -2.9789333e-05
2.0000000e+00 2.0000000e+02 6.7021293e-08 -6.2406963e-08 -4.9811175e-05 -2.2856145e-05
2.0000000e+00 2.5000000e+02 4.3345596e-09 -6.4595199e-08 -4.7740393e-05 -2.3217752e-05
2.0000000e+00 3.0000000e+02 3.1404303e-08 6.1270702e-08 -4.8883771e-05 -2.6030532e-05
Add-Ons/ADRESSTools_vEos/MATools_IceLine_VNS/MAToolsUserGuide.doc
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Add-Ons/ADRESSTools_vEos/MATools_IceLine_VNS/Utils/readsp2.mexw64
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Add-Ons/ADRESSTools_vEos/MATools_IceLine_VNS/WarpFit.dat
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% Calibration data is taken with slit array, hv=1keV, Uconv=0.1*Ep.
% WAM (mode=1) and LAD (mode=3) data taken on 26.02.2013, Ek=350eV for WAM and 600eV for LAD;
% for WAM the Ep=40eV is missing; the WAM angular scale zero slightly drifted with Ep.
% MAM (mode=2)data taken on 30.01.2014, Ek=600eV.
1.0000000e+00 1.1666667e+01 7.8486451e-01 2.6252806e-03 3.5512691e-04 -7.4497438e-01 -2.4580483e-02 -3.7022362e-03 -1.3631077e-01 1.4317764e-01 6.5564314e-02
1.0000000e+00 1.0000000e+01 9.4499244e-01 1.7689033e-03 -3.8234004e-04 1.3925957e-02 -1.6661738e-02 8.9034796e-04 -1.6619161e+00 6.0289210e-02 3.5817790e-02
1.0000000e+00 7.0000000e+00 9.3235873e-01 1.8190070e-03 -2.7861773e-04 7.3757226e-02 -1.8692558e-02 6.4249864e-04 7.5243953e-02 4.9788753e-02 2.0103766e-02
1.0000000e+00 5.8333333e+00 9.3524064e-01 1.8917568e-03 -2.7576215e-04 6.5569738e-02 -2.2072579e-02 9.0871021e-04 -2.2796855e-01 5.3575007e-02 2.4874189e-02
1.0000000e+00 5.0000000e+00 9.3567974e-01 1.8840452e-03 -2.5814245e-04 9.9078822e-02 -2.1204896e-02 5.9724247e-04 3.6117336e-01 7.9235749e-02 2.1807709e-02
1.0000000e+00 4.3750000e+00 9.3423311e-01 1.7632761e-03 -1.9652570e-04 1.1406955e-01 -1.9603072e-02 2.6210206e-04 1.9102179e+00 1.1841798e-01 7.4437550e-03
1.0000000e+00 3.5000000e+00 9.2752366e-01 1.6677888e-03 -1.1378830e-04 9.8774920e-02 -1.9596768e-02 -2.6333242e-04 2.3756781e+00 1.1412266e-01 7.7495397e-03
1.0000000e+00 2.6923077e+00 9.2060166e-01 1.8213639e-03 -1.1955421e-04 1.3194298e-01 -2.2950809e-02 -1.3957909e-04 2.8245694e+00 1.4470518e-01 2.2700228e-03
1.0000000e+00 2.1875000e+00 9.2935241e-01 1.8769675e-03 -9.3625226e-05 1.3575745e-01 -2.5524283e-02 -6.0465036e-04 2.7982317e+00 1.5847581e-01 6.6328318e-03
1.0000000e+00 1.8421053e+00 9.3656931e-01 1.7687522e-03 -6.2474978e-05 1.5743513e-01 -2.8426630e-02 -1.3498163e-03 2.4628121e+00 1.7628626e-01 1.6234894e-02
1.0000000e+00 1.5909091e+00 9.2938240e-01 1.6957461e-03 -3.9240799e-05 1.2509238e-01 -2.8341617e-02 -9.8517958e-04 2.6782854e+00 1.6688236e-01 1.4041178e-02
2.0000000e+00 1.2000000e+01 7.6340370e-01 2.8311455e-03 8.7784755e-04 -1.0528934e+00 -1.9788828e-02 6.9303195e-03 -3.7868593e+00 7.6877506e-01 1.7424718e-01
2.0000000e+00 1.0000000e+01 8.2478673e-01 3.8048564e-03 5.5116463e-04 -6.0337470e-01 -5.3664259e-02 1.6127571e-03 4.8760283e-02 4.4770815e-01 8.5291411e-02
2.0000000e+00 8.5714286e+00 1.0132165e+00 4.8351660e-04 -9.6574036e-04 3.0291150e-01 -5.2268240e-02 -3.5668126e-04 2.3490278e+00 2.8591823e-01 2.0497625e-02
2.0000000e+00 7.5000000e+00 9.5708136e-01 1.5895249e-03 -5.3801601e-04 2.5578373e-01 -5.3235553e-02 -7.5476739e-05 2.4991774e+00 1.9286898e-01 1.4686713e-02
2.0000000e+00 6.6666667e+00 9.2782840e-01 1.2318005e-03 -3.8288588e-04 1.5718071e-01 -4.9498322e-02 8.7663337e-04 3.0540761e+00 1.4544714e-01 -2.9375903e-03
2.0000000e+00 6.0000000e+00 8.9758672e-01 1.1934265e-03 -2.2681473e-04 6.4393674e-02 -4.9833857e-02 2.1689127e-03 2.0134532e+00 1.3894570e-01 1.9039625e-02
2.0000000e+00 5.0000000e+00 9.6315181e-01 2.1745774e-03 -9.6708540e-04 6.1694709e-01 -3.5742960e-02 1.8491167e-03 4.3117049e+00 -5.2714209e-02 -2.9614572e-02
2.0000000e+00 4.2857143e+00 8.8061723e-01 1.1420589e-03 -2.4107998e-04 3.5522605e-02 -4.2134093e-02 1.2462684e-03 -2.3505993e-01 -2.9622535e-02 7.6506177e-02
2.0000000e+00 3.7500000e+00 8.3604179e-01 1.4563854e-03 3.4238938e-04 -2.2020728e-01 -4.7625697e-02 2.6158676e-03 1.2073054e+00 1.8789753e-01 3.9003591e-02
2.0000000e+00 3.3333333e+00 8.5472996e-01 2.2077427e-03 2.1913633e-04 -8.3935875e-02 -4.7708154e-02 1.3911611e-03 2.1482459e+00 1.8466381e-01 2.1355393e-02
2.0000000e+00 3.0000000e+00 8.8033923e-01 2.7350849e-03 5.2930675e-05 7.4992070e-02 -4.5016908e-02 8.6731942e-04 2.7334027e+00 1.6623259e-01 1.1169896e-02
2.0000000e+00 2.6086957e+00 8.6080389e-01 2.9582837e-03 2.6876811e-04 -4.8866475e-02 -4.4468867e-02 3.0794569e-04 2.4451004e+00 1.5987892e-01 2.1482036e-02
2.0000000e+00 2.3076923e+00 8.6939260e-01 3.0808461e-03 2.9024917e-04 -5.7687620e-02 -4.4296704e-02 -3.1359215e-04 1.2520497e+00 2.4316067e-01 5.3319916e-02
2.0000000e+00 2.0689655e+00 8.8114430e-01 3.1895318e-03 2.5917070e-04 -3.6177198e-02 -4.4957985e-02 -9.3637200e-04 8.9044034e-01 2.8432750e-01 6.5562841e-02
2.0000000e+00 1.8750000e+00 8.8190357e-01 3.3104458e-03 2.5970035e-04 -6.6930388e-02 -4.4925623e-02 -1.2009718e-03 6.4660172e-01 3.1089539e-01 7.3783136e-02
2.0000000e+00 1.7142857e+00 8.5755429e-01 3.2986432e-03 4.9007648e-04 -1.3617042e-01 -4.3987221e-02 -1.4989395e-03 5.2155899e-01 3.1316903e-01 7.7923608e-02
3.0000000e+00 3.0000000e+01 9.3131022e-01 8.2597450e-03 5.1081804e-04 -1.3402651e-01 -7.2246367e-02 -5.5988897e-03 1.5374868e+00 3.4599698e-01 4.9330743e-02
3.0000000e+00 2.4000000e+01 9.2467526e-01 6.3341991e-03 1.7753699e-04 -4.3261422e-01 -5.5131881e-02 -1.9958705e-03 2.8918526e+00 2.1531420e-01 1.6078639e-02
3.0000000e+00 2.0000000e+01 9.3393229e-01 3.3488154e-03 -1.1152565e-04 -5.5244530e-02 -3.8968289e-02 -9.5867096e-04 1.2268025e+00 8.4294093e-02 3.5574940e-02
3.0000000e+00 1.7142857e+01 9.5059772e-01 3.8272919e-03 -5.5642471e-04 2.8256611e-01 -3.3916381e-02 2.9679522e-04 1.5630599e+00 5.0493715e-02 9.0972340e-03
3.0000000e+00 1.5000000e+01 9.3402812e-01 4.3175605e-03 -1.0838535e-04 -6.6806770e-02 -4.4191578e-02 -1.1142718e-03 1.4536725e+00 9.4831758e-02 4.1854807e-02
3.0000000e+00 1.2000000e+01 9.3498016e-01 4.0473169e-03 -8.4715514e-05 -7.7367878e-02 -4.5312966e-02 -1.5645238e-03 1.9968548e+00 1.4511322e-01 4.1655025e-02
3.0000000e+00 1.0000000e+01 9.3092485e-01 3.1875552e-03 -6.5883380e-05 -2.5108918e-02 -3.4356190e-02 -7.5332491e-05 1.9673302e+00 8.5808907e-02 3.7330198e-02
3.0000000e+00 7.5000000e+00 9.2899302e-01 3.0826568e-03 -1.5707219e-05 -6.2741266e-03 -3.3001991e-02 1.7303876e-04 2.2077348e+00 6.5493832e-02 3.7567881e-02
3.0000000e+00 6.0000000e+00 9.2387684e-01 2.7580768e-03 8.5993606e-05 2.3771552e-03 -3.1345898e-02 4.5503776e-04 2.0704301e+00 3.7166065e-02 3.3210115e-02
3.0000000e+00 5.0000000e+00 9.2170936e-01 2.9736780e-03 8.2170413e-05 4.1645762e-03 -2.6929763e-02 1.3352710e-04 2.6869195e+00 5.1833013e-02 2.0828516e-02
3.0000000e+00 4.2857143e+00 9.2617785e-01 2.8454061e-03 7.3152173e-05 1.0271635e-01 -2.7756657e-02 1.6176086e-04 2.7132439e+00 1.7374439e-02 1.3080123e-02
3.0000000e+00 3.5294118e+00 9.2064153e-01 2.9982272e-03 7.8310905e-05 2.1679619e-03 -2.4080499e-02 4.9988504e-04 2.7449118e+00 4.2088094e-02 1.6814754e-02
3.0000000e+00 3.0000000e+00 9.2029058e-01 2.8926509e-03 7.4431320e-05 1.1011673e-02 -2.2522534e-02 5.4270980e-04 2.8238914e+00 6.2191053e-02 2.1547114e-02
3.0000000e+00 2.4000000e+00 9.2055433e-01 3.0481727e-03 1.0739890e-04 4.7432488e-02 -2.2275385e-02 5.4720232e-04 2.8764483e+00 4.2127172e-02 1.7435568e-02
3.0000000e+00 2.0000000e+00 9.2212435e-01 3.0485849e-03 5.0553969e-05 3.0420616e-02 -2.1232073e-02 5.7598728e-04 2.6726310e+00 5.5332318e-02 2.2860502e-02
3.0000000e+00 1.7142857e+00 9.2326920e-01 3.0488348e-03 4.5036335e-05 3.4798953e-02 -1.9970755e-02 3.2405038e-04 2.7769612e+00 6.0283280e-02 2.0726711e-02
Add-Ons/ADRESSTools_vEos/MaterialsDatabase_PCC/Apps/IMFP_UI.mlapp
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## Log of updates to ADRESSTools
**Eos - 10.04.2023:**
-> The Material Database is now an independent package that does not depend on the PESTools package.
-> New App available: IMFP determination via an app using 'IMFP_UI'.
-> New App available: PES binding energy spectrum, photoionisation cross-section and asymmetry app using 'PES_UI'.
-> Updated PEARL data-loader function.
**Dionysus - 22.10.2022:**
-> Multiple bug fixes and improvement of PES / XPS analysis and curve fitting tools.
-> Improvement to figure aesthetics used in the codebase.
-> Updated GitHub Repo information and added several showcases of the functions available in ADRESSTools.
-> More generalised EF fitting function, allowing more accurate fits to the EF edge.
-> Updated angle -> wave-vector conversions to take into account new ADRESS geometry.
**Cronus - 28.09.2022:**
-> Multiple bug fixes and improvement of PES / XPS analysis and curve fitting tools.
-> Updated Theory Data from Microsoft - all up-to-date now.
-> Added Physics Constants to Materials Database.
-> Uploaded MATools to 'Skyfall' version, with new ARPES geometry considered.
**Basil - 21.02.2022:**
-> Multiple bug fixes and improvement of PES / XPS analysis and curve fitting tools.
**Ajax - 24.11.2021:** Integration of PES / XPS analysis and curve fitting tools.
**v2.1 - 17.07.2020:** Massive upgrade to all UI systems and added several new features for analysis.
**v2.0 - 13.11.2019:** Further development of all UI's to make them all consistent;
-> When saving on the 'arpes_processor' UI, it will now automatically also save an info .txt file.
-> Added new method in 'kf_analysis' that will track states by measuring the full-width at half-maximum as a function of a scan parameter. This method allowed for kF to be tracked automatically using the algorithm, with the user only defining the region of interest.
-> Added feature in 'kf_analysis' that will plot a summary video showing the fits as a function of the scan parameter.
-> Merging to master.
**v1.8 - 06.02.2019:** Further development of the 'arpes_statefitting' UI;
-> Added Voigt curve that can be fitted.
**v1.7 - 18.12.2018:** Further development of the 'arpes_statefitting' UI;
-> Combined fit range and fit routine functions.
**v1.6 - 06.12.2018:** Developed all UI's to be mutually consistent in forms.
**v1.5 - 28.11.2018:** Developed the 'kf_analysis' UI.
**v1.4 - 26.11.2018:** Developed the 'bz_navigation' UI.
**v1.3 - 24.11.2018:** Developed the 'arpes_isoeanalysis' UI.
**v1.2 - 10.11.2018:** Developed the 'arpes_statefitting' UI.
**v1.1 - 05.11.2018:** Developed the 'arpes_processor' UI.
**v1.0 - 10.10.2018:** Single GUI to perform all processing and analysis.
## List of known bugs
Add-Ons/NewGuy012-spider_plot/README.md
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[![View spider_plot on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/59561-spider_plot)
# spider_plot
Create a spider or radar plot with customizable individual axes.
## Syntax:
**spider_plot(P)**
**spider_plot(P, Name, Value, ...)**
## Input Arguments:
*(Required)*
- **P** - The data points used to plot the spider chart. The rows are the groups of data and the columns are the data points.
The axes labels and axes limits are automatically generated if not specified.
[vector | matrix]
## Name-Value Pair Arguments:
*(Optional)*
- **AxesLabels** - Used to specify the label each of the axes.
[auto-generated (default) | cell of strings | 'none']
- **AxesInterval** - Used to change the number of intervals displayed between the webs.
[3 (default) | integer]
- **AxesPrecision** - Used to change the precision level on the value displayed on the axes.
[1 (default) | integer | vector]
- **AxesDisplay** - Used to change the number of axes in which the axes text are displayed. 'None' or 'one' can be used to simplify the plot appearance for normalized data.
['all' (default) | 'none' | 'one']
- **AxesLimits** - Used to manually set the axes limits. A matrix of 2 x size(P, 2). The top row is the minimum axes limits and the bottow row is the maximum axes limits.
[auto-scaled (default) | matrix]
- **FillOption** - Used to toggle color fill option.
['off' (default) | 'on']
- **FillTransparency** - Used to set color fill transparency.
[0.1 (default) | scalar in range (0, 1)]
- **Color** - Used to specify the line color, specified as an RGB triplet. The intensities must be in the range (0, 1).
[MATLAB colors (default) | RGB triplet | hexadecimal color code]
- **LineStyle** - Used to change the line style of the plots.
['-' (default) | '--' | ':' | '-.' | 'none' | cell array of character vectors]
- **LineWidth** - Used to change the line width, where 1 point is 1/72 of an inch.
[0.5 (default) | positive value | vector]
- **Marker** - Used to change the marker symbol of the plots.
['o' (default) | '*' | 's' | 'd' | '+' | '.' | 'x' | '^' | 'v' | 'h' | 'none' | cell array of character vectors]
- **MarkerSize** - Used to change the marker size, where 1 point is 1/72 of an inch.
[8 (default) | positive value | vector]
- **AxesFont** - Used to change the font type of the values displayed on the axes.
[Helvetica (default) | supported font name]
- **LabelFont** - Used to change the font type of the labels.
[Helvetica (default) | supported font name]
- **AxesFontSize** - Used to change the font size of the values displayed on the axes.
[10 (default) | scalar value greater than zero]
- **LabelFontSize** - Used to change the font size of the labels.
[10 (default) | scalar value greater than zero]
- **Direction** - Used to change the direction of rotation of the plotted data and axis labels.
['clockwise' (default) | 'counterclockwise']
- **AxesDirection** - Used to change the direction of axes.
['normal' (default) | 'reverse' | cell array of character vectors]
- **AxesLabelsOffset** - Used to adjust the position offset of the axes labels.
[0.1 (default) | positive value]
- **AxesScaling** - Used to change the scaling of the axes.
['linear' (default) | 'log' | cell array of character vectors]
- **AxesColor** - Used to change the color of the spider axes.
[grey (default) | RGB triplet]
- **AxesLabelsEdge** - Used to change the edge color of the axes labels.
[black (default) | RGB triplet | hexadecimal color code | 'none']
- **AxesOffset** - Used to change to axes offset from the origin.
[1 (default) | any integer less than the axes interval]
## Examples:
### Example 1: Minimal number of arguments. All optional arguments are set to their default values. Axes labels and limits are automatically set.
```matlab
% Initialize data points
D1 = [5 3 9 1 2];
D2 = [5 8 7 2 9];
D3 = [8 2 1 4 6];
P = [D1; D2; D3];
% Spider plot
spider_plot(P);
% Legend settings
legend('D1', 'D2', 'D3', 'Location', 'southoutside');
```
<p align="center">
<img src="screenshot/example1.PNG">
</p>
### Example 2: Manually setting the axes limits and axes precision. All other optional arguments are set to their default values.
```matlab
% Initialize data points
D1 = [5 3 9 1 2];
D2 = [5 8 7 2 9];
D3 = [8 2 1 4 6];
P = [D1; D2; D3];
% Spider plot
spider_plot(P,...
'AxesLimits', [1, 2, 1, 1, 1; 10, 8, 9, 5, 10],... % [min axes limits; max axes limits]
'AxesPrecision', [0, 1, 1, 1, 1]);
```
<p align="center">
<img src="screenshot/example2.png">
</p>
### Example 3: Set fill option on. The fill transparency can be adjusted.
```matlab
% Initialize data points
D1 = [5 3 9 1 2];
D2 = [5 8 7 2 9];
D3 = [8 2 1 4 6];
P = [D1; D2; D3];
% Spider plot
spider_plot(P,...
'AxesLabels', {'S1', 'S2', 'S3', 'S4', 'S5'},...
'AxesInterval', 2,...
'FillOption', 'on',...
'FillTransparency', 0.1);
```
<p align="center">
<img src="screenshot/example3.PNG">
</p>
### Example 4: Maximum number of arguments.
```matlab
% Initialize data points
D1 = [5 3 9 1 2];
D2 = [5 8 7 2 9];
D3 = [8 2 1 4 6];
P = [D1; D2; D3];
% Spider plot
spider_plot(P,...
'AxesLabels', {'S1', 'S2', 'S3', 'S4', 'S5'},...
'AxesInterval', 4,...
'AxesPrecision', 0,...
'AxesDisplay', 'one',...
'AxesLimits', [1, 2, 1, 1, 1; 10, 8, 9, 5, 10],...
'FillOption', 'on',...
'FillTransparency', 0.2,...
'Color', [1, 0, 0; 0, 1, 0; 0, 0, 1],...
'LineStyle', {'--', '-', '--'},...
'LineWidth', [1, 2, 3],...
'Marker', {'o', 'd', 's'},...
'MarkerSize', [8, 10, 12],...
'AxesFont', 'Times New Roman',...
'LabelFont', 'Times New Roman',...
'AxesFontSize', 12,...
'LabelFontSize', 10,...
'Direction', 'clockwise',...
'AxesDirection', {'reverse', 'normal', 'normal', 'normal', 'normal'},...
'AxesLabelsOffset', 0.1,...
'AxesScaling', 'linear',...
'AxesColor', [0.6, 0.6, 0.6],...
'AxesLabelsEdge', 'none',...
'AxesOffset', 1);
```
<p align="center">
<img src="screenshot/example4.png">
</p>
### Example 5: Excel-like radar charts.
```matlab
% Initialize data points
D1 = [5 0 3 4 4];
D2 = [2 1 5 5 4];
P = [D1; D2];
% Spider plot
spider_plot(P,...
'AxesInterval', 5,...
'AxesPrecision', 0,...
'AxesDisplay', 'one',...
'AxesLimits', [0, 0, 0, 0, 0; 5, 5, 5, 5, 5],...
'FillOption', 'on',...
'FillTransparency', 0.1,...
'Color', [139, 0, 0; 240, 128, 128]/255,...
'LineWidth', 4,...
'Marker', 'none',...
'AxesFontSize', 14,...
'LabelFontSize', 10,...
'AxesColor', [0.8, 0.8, 0.8],...
'AxesLabelsEdge', 'none');
% Title and legend settings
title(sprintf('Excel-like Radar Chart'),...
'FontSize', 14);
legend_str = {'D1', 'D2'};
legend(legend_str, 'Location', 'southoutside');
```
<p align="center">
<img src="screenshot/example5.png">
</p>
### Example 6: Logarithimic scale on specified axes. Axes limits and axes intervals can be individually set as well.
```matlab
% Initialize data points
D1 = [5 3 9 1 1];
D2 = [5 8 7 2 10];
D3 = [8 2 1 4 100];
P = [D1; D2; D3];
% Spider plot
spider_plot(P,...
'AxesInterval', 2,...
'AxesPrecision', 0,...
'AxesFontSize', 10,...
'AxesLabels', {'Linear Scale', 'Linear Scale', 'Linear Scale', 'Linear Scale', 'Logarithimic Scale'},...
'AxesScaling', {'linear', 'linear', 'linear', 'linear', 'log'},...
'AxesLimits', [1, 1, 1, 1, 1; 10, 10, 10, 10, 100]);
% Legend properties
legend('D1', 'D2', 'D3', 'Location', 'northeast');
```
<p align="center">
<img src="screenshot/example6.png">
</p>
### Example 7: Spider plot with tiledlayout feature in R2019b.
```matlab
% Initialize data points
D1 = [5 3 9 1 2];
D2 = [5 8 7 2 9];
D3 = [8 2 1 4 6];
P = [D1; D2; D3];
% Titled layout
t = tiledlayout(2, 2);
% Tile 1
nexttile;
spider_plot_R2019b(P,...
'AxesInterval', 1,...
'AxesPrecision', 0);
% Tile 2
nexttile;
spider_plot_R2019b(P,...
'AxesInterval', 1,...
'AxesPrecision', 0);
% Tile 3
nexttile(3, [1, 2]);
spider_plot_R2019b(P,...
'AxesInterval', 1,...
'AxesPrecision', 0);
% Tile properties
t.TileSpacing = 'compact';
t.Padding = 'compact';
title(t, 'Spider Plots');
```
<p align="center">
<img src="screenshot/example7.PNG">
</p>
## Author:
Moses Yoo, (jyoo at hatci dot com)
- 2020-12-01: Added support for adjust the axes offset from origin.
- 2020-11-30: Allow for one data group without specified axes limits.
- 2020-11-30: Added support for changing axes and label font type.
- 2020-10-08: Adjust axes precision to be set to one or more axis.
- 2020-09-30: Updated examples and added ability to reverse axes direction.
- 2020-07-05: Added feature to change spider axes and axes labels edge color.
- 2020-06-17: Allow logarithmic scale to be set to one or more axis.
- 2020-03-26: Added feature to allow different line styles, line width, marker type, and marker sizes for the data groups.
- 2020-02-17: Major revision in converting the function into a custom chart class. New feature introduced in R2019b.
- 2020-02-12: Fixed condition and added error checking for when only one data group is plotted.
- 2020-01-27: Corrected bug where only 7 entries were allowed in legend.
- 2020-01-06: Added support for subplot and tiledlayout feature (tiledlayout introduced in R2019b).
- 2019-11-27: Add option to change axes to logarithmic scale.
- 2019-11-15: Add feature to customize the plot rotational direction and the offset position of the axis labels.
- 2019-10-28: Major revision in implementing the new function argument validation feature introduced in R2019b. Replaced previous method of error checking and setting of default values.
- 2019-10-23: Minor revision to set starting axes as the vertical line. Add customization option for font sizes and axes display.
- 2019-10-16: Minor revision to add name-value pairs for customizing color, marker, and line settings.
- 2019-10-08: Another major revision to convert to name-value pairs and add color fill option.
- 2019-09-17: Major revision to improve speed, clarity, and functionality
## Special Thanks:
Special thanks to the following people for their feature recommendations and suggested bug fixes.
- Gabriela Andrade
- Andrés Garcia
- Jiro Doke
- Alex Grenyer
- Tobias Kern
- Omar Hadri
- Zafar Ali
- Christophe Hurlin
- Sean de Wolski
- Roman
- Mariusz Sepczuk
- Mohamed Abubakr
- Maruis Mueller
- Nicolai
- Jingwei Too
- Cedric Jamet
- Richard Ruff
[![View spider_plot on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/59561-spider_plot)
Add-Ons/matlab-openbis-master/README.md
-7
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# MATLAB toolbox for openBIS
This repository provides a set of MATLAB functions that allow seemless integration between [MATLAB](https://mathworks.com/products/matlab.html) and the [openBIS](https://wiki-bsse.ethz.ch/display/bis/Home) data management system. The toolbox is written as a wrapper around the [pyBIS](https://sissource.ethz.ch/sispub/openbis/blob/master/pybis/src/python/README.md) Python API for openBIS. As MATLAB can call Python libraries directly (see https://ch.mathworks.com/help/matlab/call-python-libraries.html), all the functionality of pyBIS is directly available from within MATLAB. The main goal of the toolbox is to provide a more MATLABish way of accessing pyBIS fucntions.
To get started, checkout the installation instructions in the repository's [Wiki](https://sissource.ethz.ch/hluetcke/matlab-openbis/wikis/home). A usage example is provided in the script [openbis_example.mlx](https://sissource.ethz.ch/hluetcke/matlab-openbis/blob/master/openbis_example.mlx) which can be run within the MATLAB Live Editor. Documentation is provided in the file [OpenBis.m](https://sissource.ethz.ch/hluetcke/matlab-openbis/blob/master/OpenBis.m). In the MATLAB Desktop UI, you can get the documentation by typing `doc OpenBis`.
This repository is maintained by the [Scientific IT Services](https://sis.id.ethz.ch/) of [ETH Zurich](www.ethz.ch).
Add-Ons/matlab-openbis-master/pybis_example.ipynb
-485
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@@ -1,485 +0,0 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from pybis import Openbis\n",
"import getpass\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Connecting to openBIS"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o = Openbis('https://openbis-tst.ethz.ch/openbis:8443', verify_certificates=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"username = 'h'\n",
"pw = getpass.getpass()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.login(username, pw, save_token=True) # saves the session token in ~/.pybis/example.com.token\n",
"del pw"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.token"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.is_session_active()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_datastores()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Masterdata"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_experiment_types()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_sample_types()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_sample_type('PLATE')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_material_types()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_dataset_types()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_terms()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Samples / objects"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_sample_types()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"obj = o.new_object(type='UNKNOWN', space='MATLAB_TEST', code='12345')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"obj.save()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sample = o.get_sample('/MATLAB_TEST/911922')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sample.delete('just a test')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### List and get datasets"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"datasets = o.get_datasets(type='HISTOLOGY')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"counter = 0\n",
"for ds in datasets:\n",
" print(ds)\n",
" counter += 1\n",
" if counter > 10:\n",
" break"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ds = o.get_dataset('20101105142049776-6512')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ds.get_files(start_folder='original')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Experiments / collections"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_experiments(\n",
" project='TEST_PROJECT',\n",
" space='MATLAB_TEST'\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"experiment = o.get_experiment('/MATLAB_TEST/TEST_PROJECT/E1300')\n",
"experiment"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"experiment.props"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"experiment = o.new_experiment(type='UNKNOWN', code='EXP123456', project='/SIS_HLUETCKE/DEMO')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"experiment.save()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"project = o.new_project('SIS_HLUETCKE', 'test_project', 'boring project')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"project.save()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_objects('SIS_HLUETCKE/')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Download and import files"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ds.download(files='', destination='data', wait_until_finished=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plt.imshow(plt.imread('data/20101105142920015-6525/original/441_x40001.tif'))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_experiment_types()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_dataset_types()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.get_projects(space='MATLAB_TEST', code=None)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"project = o.new_project(space='MATLAB_TEST', code='ANOTHER_TEST', description='TGIF')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"project.save()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"project.delete('just a test')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Create a new dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"file_list = [\n",
" '/Users/Henry/Data/temp/file1.dat',\n",
" '/Users/Henry/Data/temp/file2.dat',\n",
" '/Users/Henry/Data/temp/file3.dat'\n",
"]\n",
"file_list"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ds_new = o.new_dataset(type='ANALYZED_DATA', experiment='/HLUETCKE/DEMO/DEMO_EXP_1', sample='/HLUETCKE/DEMO/S43', files=file_list)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ds_new.save()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Logout"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"o.logout()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [default]",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
beamtime/ADRESSTools_vEos/MATools_IceLine_VNS/CurvatureAndWarpingGuide.doc
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beamtime/ADRESSTools_vEos/MATools_IceLine_VNS/CurveFit.dat
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% WAM data: Derived from the data taken on 10.07.2013 with Ag 3d doublet,
% only the high-energy peak, Ek~350eV, range +/-14deg, Uconv=-0.1*Ep
1.0000000e+00 3.0000000e+01 5.7549797e-08 2.1158619e-07 -3.3674509e-05 -8.4042108e-05
1.0000000e+00 3.5000000e+01 1.0505235e-07 7.1089350e-07 -5.1345310e-05 -1.5238416e-04
1.0000000e+00 4.0000000e+01 9.2186459e-08 6.4460407e-07 -4.5949043e-05 -1.3554235e-04
1.0000000e+00 5.0000000e+01 7.0686093e-08 5.2940559e-07 -3.9347857e-05 -1.1235947e-04
1.0000000e+00 6.0000000e+01 5.6283692e-08 4.5041152e-07 -3.3508238e-05 -9.4024728e-05
1.0000000e+00 7.0000000e+01 4.6072350e-08 3.8347197e-07 -3.0571355e-05 -8.1005505e-05
1.0000000e+00 8.0000000e+01 2.9146535e-08 2.2734112e-07 -2.4364012e-05 -5.0864007e-05
1.0000000e+00 9.0000000e+01 2.5496097e-08 1.9852660e-07 -2.4291307e-05 -4.4976466e-05
1.0000000e+00 1.0000000e+02 3.1989259e-08 2.4854284e-07 -2.8141413e-05 -5.4139857e-05
1.0000000e+00 1.1000000e+02 2.7389427e-08 2.5019251e-07 -2.6970258e-05 -5.4302099e-05
1.0000000e+00 1.2000000e+02 2.2344655e-08 2.3894543e-07 -2.5521078e-05 -5.1900527e-05
1.0000000e+00 1.3000000e+02 2.0850462e-08 2.2253980e-07 -2.4625183e-05 -4.9655316e-05
1.0000000e+00 1.5000000e+02 1.8535201e-08 2.1325583e-07 -2.3211084e-05 -4.6419003e-05
1.0000000e+00 1.7000000e+02 1.7530471e-08 1.9432319e-07 -2.2085372e-05 -4.2948120e-05
1.0000000e+00 1.9000000e+02 1.7808490e-08 1.9211485e-07 -2.1718196e-05 -4.1936317e-05
1.0000000e+00 2.1000000e+02 1.6743817e-08 1.7716850e-07 -2.1202846e-05 -3.9064115e-05
1.0000000e+00 2.3000000e+02 1.5972928e-08 1.6835411e-07 -2.0703645e-05 -3.7292074e-05
% MAM data: Derived from the data taken on 06.02.2014 with Au 4f doublet,
% only the high-energy peak, Ek=600eV, range +/-10deg, Uconv=-0.1*Ep
2.0000000e+00 5.0000000e+01 -5.1437913e-08 -1.2542236e-08 -1.7764284e-05 -3.7514664e-05
2.0000000e+00 6.0000000e+01 -1.8041414e-08 -2.4458453e-08 -2.3996694e-05 -4.1370343e-05
2.0000000e+00 7.0000000e+01 2.9236181e-08 1.2566237e-07 -2.9297142e-05 -5.2360323e-05
2.0000000e+00 8.0000000e+01 1.2752606e-08 7.8533778e-08 -2.7479533e-05 -4.9415261e-05
2.0000000e+00 9.0000000e+01 7.5112234e-09 2.0679238e-08 -2.5652457e-05 -4.2271472e-05
2.0000000e+00 1.0000000e+02 -1.4011202e-08 2.8402782e-09 -2.2424522e-05 -3.9853476e-05
2.0000000e+00 1.1000000e+02 4.0507111e-09 5.9354326e-08 -2.4315809e-05 -4.3545690e-05
2.0000000e+00 1.2000000e+02 1.5488383e-08 8.7218602e-08 -2.5835792e-05 -4.4856094e-05
2.0000000e+00 1.3000000e+02 4.8677328e-09 1.4383923e-07 -2.3652203e-05 -4.6226302e-05
2.0000000e+00 1.5000000e+02 -5.7244407e-08 -5.8666841e-08 -1.7606347e-05 -3.4487768e-05
2.0000000e+00 1.7000000e+02 -4.1382132e-08 -2.8961874e-08 -1.9501614e-05 -3.6009241e-05
2.0000000e+00 1.9000000e+02 -2.2639470e-08 3.7623335e-09 -2.1696643e-05 -3.8397051e-05
2.0000000e+00 2.1000000e+02 -1.2801735e-08 -2.3204288e-08 -2.2944474e-05 -3.6757262e-05
2.0000000e+00 2.4000000e+02 -1.1737097e-08 -5.1748812e-09 -2.2853740e-05 -3.6909846e-05
2.0000000e+00 2.8000000e+02 -7.8257657e-09 1.2411199e-08 -2.3460122e-05 -3.7130127e-05
2.0000000e+00 3.2000000e+02 2.7760873e-09 2.3242272e-08 -2.4619223e-05 -3.7341181e-05
2.0000000e+00 3.6000000e+02 -1.5466724e-08 -1.2627854e-08 -2.2548439e-05 -3.4346397e-05
2.0000000e+00 4.0000000e+02 -1.8199853e-08 -1.9653684e-08 -2.2350511e-05 -3.3019789e-05
% LAD data: Derived from the data taken on 10.07.2013 with As 3d doublet,
% average of two peaks, Ek~450eV, range +/-7deg, Uconv=-0.1*Ep
3.0000000e+00 2.0000000e+01 -5.6590710e-07 3.7657977e-07 -4.5918343e-05 -1.5095901e-04
3.0000000e+00 2.5000000e+01 -4.7487888e-08 8.0426266e-07 -5.3329296e-05 -1.0409184e-04
3.0000000e+00 3.0000000e+01 4.6092656e-08 5.1490354e-07 -5.7203510e-05 -9.6523178e-05
3.0000000e+00 4.0000000e+01 -3.9284756e-08 5.1742300e-07 -5.2464655e-05 -5.7580797e-05
3.0000000e+00 5.0000000e+01 -9.4676429e-08 3.5994451e-07 -5.5091213e-05 -4.8691923e-05
3.0000000e+00 6.0000000e+01 -1.7565702e-09 3.6889550e-07 -5.9880389e-05 -4.8252266e-05
3.0000000e+00 7.0000000e+01 -2.0084433e-08 4.1847882e-07 -5.8378467e-05 -4.8201603e-05
3.0000000e+00 8.0000000e+01 -8.1540589e-09 3.3351325e-07 -5.7895254e-05 -4.5131684e-05
3.0000000e+00 1.0000000e+02 6.1610583e-10 4.3373624e-07 -5.9036927e-05 -4.7745530e-05
3.0000000e+00 1.2000000e+02 -6.0724832e-09 3.4058051e-07 -5.8828172e-05 -4.3386438e-05
3.0000000e+00 1.4000000e+02 2.5038671e-08 2.7496880e-07 -6.0021915e-05 -3.9312189e-05
3.0000000e+00 1.6000000e+02 2.1618208e-09 2.6940645e-07 -5.9964532e-05 -3.9010305e-05
3.0000000e+00 1.8000000e+02 9.8608825e-09 2.5477795e-07 -6.0625964e-05 -3.6786976e-05
3.0000000e+00 2.2000000e+02 3.6290369e-08 2.3779143e-07 -6.1622441e-05 -3.2874057e-05
3.0000000e+00 2.6000000e+02 3.4024333e-08 2.3038477e-07 -6.0573206e-05 -3.1100064e-05
3.0000000e+00 2.6000000e+02 3.4024333e-08 2.3038477e-07 -6.0573206e-05 -3.1100064e-05
beamtime/ADRESSTools_vEos/MATools_IceLine_VNS/CurveFit_Uc=0.dat
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% WAM data: Derived from the data taken on 10.07.2013 with Ag3d doublet,
% only the high-energy peak, Ek~350eV, range +/-14deg, Uconv=0
1.0000000e+00 3.0000000e+01 2.1306546e-08 1.4768044e-07 -2.8795764e-05 -8.5032310e-05
% 1.0000000e+00 3.0000000e+01 1.0393199e-07 3.3741764e-07 -3.8090737e-05 -9.8030810e-05
1.0000000e+00 3.5000000e+01 1.0631018e-07 7.5754682e-07 -5.1340744e-05 -1.5328049e-04
1.0000000e+00 4.0000000e+01 1.0080948e-07 6.8498696e-07 -4.7175019e-05 -1.3615200e-04
1.0000000e+00 5.0000000e+01 7.9379740e-08 5.8225266e-07 -4.1056249e-05 -1.1444108e-04
1.0000000e+00 6.0000000e+01 6.4803800e-08 4.9031506e-07 -3.5221582e-05 -9.4853610e-05
1.0000000e+00 7.0000000e+01 5.2840298e-08 4.0994889e-07 -3.2070365e-05 -8.0827960e-05
1.0000000e+00 8.0000000e+01 3.4672706e-08 2.4991694e-07 -2.5523078e-05 -5.1622928e-05
1.0000000e+00 9.0000000e+01 2.8673121e-08 2.1401474e-07 -2.5286271e-05 -4.5141067e-05
1.0000000e+00 1.0000000e+02 2.7832710e-08 2.0968809e-07 -2.5140436e-05 -4.3153996e-05
1.0000000e+00 1.1000000e+02 3.0312848e-08 2.7422049e-07 -2.8034394e-05 -5.4651777e-05
1.0000000e+00 1.2000000e+02 2.7064196e-08 2.6192190e-07 -2.6748270e-05 -5.2730280e-05
1.0000000e+00 1.3000000e+02 2.3602394e-08 2.4425979e-07 -2.5610484e-05 -5.0146420e-05
1.0000000e+00 1.5000000e+02 2.1596039e-08 2.3548527e-07 -2.4195916e-05 -4.7598225e-05
1.0000000e+00 1.7000000e+02 2.2027151e-08 2.2445147e-07 -2.3256239e-05 -4.4669348e-05
1.0000000e+00 1.9000000e+02 2.1021630e-08 2.0826566e-07 -2.2647293e-05 -4.1608327e-05
1.0000000e+00 2.1000000e+02 1.9713603e-08 1.9696854e-07 -2.2082909e-05 -3.9933074e-05
1.0000000e+00 2.3000000e+02 1.6458739e-08 1.6959803e-07 -2.0449888e-05 -3.4962645e-05
% LAD data: Derived from the data taken on 08.09.2011 with Bi4f doublet,
% only the high-energy peak, Ek~335eV, range +/-8deg, Uconv=0.
2.0000000e+00 2.0000000e+01 -3.8292981e-07 -6.8686463e-07 -2.0384950e-05 -4.4744837e-05
2.0000000e+00 3.0000000e+01 -9.1341088e-08 -3.3673794e-07 -3.8264046e-05 -3.3915924e-05
2.0000000e+00 4.0000000e+01 -1.9917581e-08 7.3363282e-08 -4.2197301e-05 -3.1728725e-05
2.0000000e+00 5.0000000e+01 2.7592216e-08 -1.3185723e-07 -4.5099978e-05 -2.6869346e-05
2.0000000e+00 6.0000000e+01 -4.6319220e-08 -8.6985546e-08 -4.2574396e-05 -2.9587033e-05
2.0000000e+00 7.0000000e+01 6.3612583e-08 1.3971578e-07 -4.7547438e-05 -3.1673379e-05
2.0000000e+00 8.0000000e+01 7.1098497e-08 7.5987040e-08 -4.7584179e-05 -3.1804050e-05
2.0000000e+00 1.0000000e+02 3.7604619e-08 -9.4977276e-08 -4.7238403e-05 -2.3134884e-05
2.0000000e+00 1.2500000e+02 -2.9897730e-08 -9.9245647e-08 -4.5563467e-05 -2.1980214e-05
2.0000000e+00 1.5000000e+02 5.9584031e-08 1.8400067e-07 -4.9629554e-05 -2.9789333e-05
2.0000000e+00 2.0000000e+02 6.7021293e-08 -6.2406963e-08 -4.9811175e-05 -2.2856145e-05
2.0000000e+00 2.5000000e+02 4.3345596e-09 -6.4595199e-08 -4.7740393e-05 -2.3217752e-05
2.0000000e+00 3.0000000e+02 3.1404303e-08 6.1270702e-08 -4.8883771e-05 -2.6030532e-05
beamtime/ADRESSTools_vEos/MATools_IceLine_VNS/MAToolsUserGuide.doc
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beamtime/ADRESSTools_vEos/MATools_IceLine_VNS/WarpFit.dat
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% Calibration data is taken with slit array, hv=1keV, Uconv=0.1*Ep.
% WAM (mode=1) and LAD (mode=3) data taken on 26.02.2013, Ek=350eV for WAM and 600eV for LAD;
% for WAM the Ep=40eV is missing; the WAM angular scale zero slightly drifted with Ep.
% MAM (mode=2)data taken on 30.01.2014, Ek=600eV.
1.0000000e+00 1.1666667e+01 7.8486451e-01 2.6252806e-03 3.5512691e-04 -7.4497438e-01 -2.4580483e-02 -3.7022362e-03 -1.3631077e-01 1.4317764e-01 6.5564314e-02
1.0000000e+00 1.0000000e+01 9.4499244e-01 1.7689033e-03 -3.8234004e-04 1.3925957e-02 -1.6661738e-02 8.9034796e-04 -1.6619161e+00 6.0289210e-02 3.5817790e-02
1.0000000e+00 7.0000000e+00 9.3235873e-01 1.8190070e-03 -2.7861773e-04 7.3757226e-02 -1.8692558e-02 6.4249864e-04 7.5243953e-02 4.9788753e-02 2.0103766e-02
1.0000000e+00 5.8333333e+00 9.3524064e-01 1.8917568e-03 -2.7576215e-04 6.5569738e-02 -2.2072579e-02 9.0871021e-04 -2.2796855e-01 5.3575007e-02 2.4874189e-02
1.0000000e+00 5.0000000e+00 9.3567974e-01 1.8840452e-03 -2.5814245e-04 9.9078822e-02 -2.1204896e-02 5.9724247e-04 3.6117336e-01 7.9235749e-02 2.1807709e-02
1.0000000e+00 4.3750000e+00 9.3423311e-01 1.7632761e-03 -1.9652570e-04 1.1406955e-01 -1.9603072e-02 2.6210206e-04 1.9102179e+00 1.1841798e-01 7.4437550e-03
1.0000000e+00 3.5000000e+00 9.2752366e-01 1.6677888e-03 -1.1378830e-04 9.8774920e-02 -1.9596768e-02 -2.6333242e-04 2.3756781e+00 1.1412266e-01 7.7495397e-03
1.0000000e+00 2.6923077e+00 9.2060166e-01 1.8213639e-03 -1.1955421e-04 1.3194298e-01 -2.2950809e-02 -1.3957909e-04 2.8245694e+00 1.4470518e-01 2.2700228e-03
1.0000000e+00 2.1875000e+00 9.2935241e-01 1.8769675e-03 -9.3625226e-05 1.3575745e-01 -2.5524283e-02 -6.0465036e-04 2.7982317e+00 1.5847581e-01 6.6328318e-03
1.0000000e+00 1.8421053e+00 9.3656931e-01 1.7687522e-03 -6.2474978e-05 1.5743513e-01 -2.8426630e-02 -1.3498163e-03 2.4628121e+00 1.7628626e-01 1.6234894e-02
1.0000000e+00 1.5909091e+00 9.2938240e-01 1.6957461e-03 -3.9240799e-05 1.2509238e-01 -2.8341617e-02 -9.8517958e-04 2.6782854e+00 1.6688236e-01 1.4041178e-02
2.0000000e+00 1.2000000e+01 7.6340370e-01 2.8311455e-03 8.7784755e-04 -1.0528934e+00 -1.9788828e-02 6.9303195e-03 -3.7868593e+00 7.6877506e-01 1.7424718e-01
2.0000000e+00 1.0000000e+01 8.2478673e-01 3.8048564e-03 5.5116463e-04 -6.0337470e-01 -5.3664259e-02 1.6127571e-03 4.8760283e-02 4.4770815e-01 8.5291411e-02
2.0000000e+00 8.5714286e+00 1.0132165e+00 4.8351660e-04 -9.6574036e-04 3.0291150e-01 -5.2268240e-02 -3.5668126e-04 2.3490278e+00 2.8591823e-01 2.0497625e-02
2.0000000e+00 7.5000000e+00 9.5708136e-01 1.5895249e-03 -5.3801601e-04 2.5578373e-01 -5.3235553e-02 -7.5476739e-05 2.4991774e+00 1.9286898e-01 1.4686713e-02
2.0000000e+00 6.6666667e+00 9.2782840e-01 1.2318005e-03 -3.8288588e-04 1.5718071e-01 -4.9498322e-02 8.7663337e-04 3.0540761e+00 1.4544714e-01 -2.9375903e-03
2.0000000e+00 6.0000000e+00 8.9758672e-01 1.1934265e-03 -2.2681473e-04 6.4393674e-02 -4.9833857e-02 2.1689127e-03 2.0134532e+00 1.3894570e-01 1.9039625e-02
2.0000000e+00 5.0000000e+00 9.6315181e-01 2.1745774e-03 -9.6708540e-04 6.1694709e-01 -3.5742960e-02 1.8491167e-03 4.3117049e+00 -5.2714209e-02 -2.9614572e-02
2.0000000e+00 4.2857143e+00 8.8061723e-01 1.1420589e-03 -2.4107998e-04 3.5522605e-02 -4.2134093e-02 1.2462684e-03 -2.3505993e-01 -2.9622535e-02 7.6506177e-02
2.0000000e+00 3.7500000e+00 8.3604179e-01 1.4563854e-03 3.4238938e-04 -2.2020728e-01 -4.7625697e-02 2.6158676e-03 1.2073054e+00 1.8789753e-01 3.9003591e-02
2.0000000e+00 3.3333333e+00 8.5472996e-01 2.2077427e-03 2.1913633e-04 -8.3935875e-02 -4.7708154e-02 1.3911611e-03 2.1482459e+00 1.8466381e-01 2.1355393e-02
2.0000000e+00 3.0000000e+00 8.8033923e-01 2.7350849e-03 5.2930675e-05 7.4992070e-02 -4.5016908e-02 8.6731942e-04 2.7334027e+00 1.6623259e-01 1.1169896e-02
2.0000000e+00 2.6086957e+00 8.6080389e-01 2.9582837e-03 2.6876811e-04 -4.8866475e-02 -4.4468867e-02 3.0794569e-04 2.4451004e+00 1.5987892e-01 2.1482036e-02
2.0000000e+00 2.3076923e+00 8.6939260e-01 3.0808461e-03 2.9024917e-04 -5.7687620e-02 -4.4296704e-02 -3.1359215e-04 1.2520497e+00 2.4316067e-01 5.3319916e-02
2.0000000e+00 2.0689655e+00 8.8114430e-01 3.1895318e-03 2.5917070e-04 -3.6177198e-02 -4.4957985e-02 -9.3637200e-04 8.9044034e-01 2.8432750e-01 6.5562841e-02
2.0000000e+00 1.8750000e+00 8.8190357e-01 3.3104458e-03 2.5970035e-04 -6.6930388e-02 -4.4925623e-02 -1.2009718e-03 6.4660172e-01 3.1089539e-01 7.3783136e-02
2.0000000e+00 1.7142857e+00 8.5755429e-01 3.2986432e-03 4.9007648e-04 -1.3617042e-01 -4.3987221e-02 -1.4989395e-03 5.2155899e-01 3.1316903e-01 7.7923608e-02
3.0000000e+00 3.0000000e+01 9.3131022e-01 8.2597450e-03 5.1081804e-04 -1.3402651e-01 -7.2246367e-02 -5.5988897e-03 1.5374868e+00 3.4599698e-01 4.9330743e-02
3.0000000e+00 2.4000000e+01 9.2467526e-01 6.3341991e-03 1.7753699e-04 -4.3261422e-01 -5.5131881e-02 -1.9958705e-03 2.8918526e+00 2.1531420e-01 1.6078639e-02
3.0000000e+00 2.0000000e+01 9.3393229e-01 3.3488154e-03 -1.1152565e-04 -5.5244530e-02 -3.8968289e-02 -9.5867096e-04 1.2268025e+00 8.4294093e-02 3.5574940e-02
3.0000000e+00 1.7142857e+01 9.5059772e-01 3.8272919e-03 -5.5642471e-04 2.8256611e-01 -3.3916381e-02 2.9679522e-04 1.5630599e+00 5.0493715e-02 9.0972340e-03
3.0000000e+00 1.5000000e+01 9.3402812e-01 4.3175605e-03 -1.0838535e-04 -6.6806770e-02 -4.4191578e-02 -1.1142718e-03 1.4536725e+00 9.4831758e-02 4.1854807e-02
3.0000000e+00 1.2000000e+01 9.3498016e-01 4.0473169e-03 -8.4715514e-05 -7.7367878e-02 -4.5312966e-02 -1.5645238e-03 1.9968548e+00 1.4511322e-01 4.1655025e-02
3.0000000e+00 1.0000000e+01 9.3092485e-01 3.1875552e-03 -6.5883380e-05 -2.5108918e-02 -3.4356190e-02 -7.5332491e-05 1.9673302e+00 8.5808907e-02 3.7330198e-02
3.0000000e+00 7.5000000e+00 9.2899302e-01 3.0826568e-03 -1.5707219e-05 -6.2741266e-03 -3.3001991e-02 1.7303876e-04 2.2077348e+00 6.5493832e-02 3.7567881e-02
3.0000000e+00 6.0000000e+00 9.2387684e-01 2.7580768e-03 8.5993606e-05 2.3771552e-03 -3.1345898e-02 4.5503776e-04 2.0704301e+00 3.7166065e-02 3.3210115e-02
3.0000000e+00 5.0000000e+00 9.2170936e-01 2.9736780e-03 8.2170413e-05 4.1645762e-03 -2.6929763e-02 1.3352710e-04 2.6869195e+00 5.1833013e-02 2.0828516e-02
3.0000000e+00 4.2857143e+00 9.2617785e-01 2.8454061e-03 7.3152173e-05 1.0271635e-01 -2.7756657e-02 1.6176086e-04 2.7132439e+00 1.7374439e-02 1.3080123e-02
3.0000000e+00 3.5294118e+00 9.2064153e-01 2.9982272e-03 7.8310905e-05 2.1679619e-03 -2.4080499e-02 4.9988504e-04 2.7449118e+00 4.2088094e-02 1.6814754e-02
3.0000000e+00 3.0000000e+00 9.2029058e-01 2.8926509e-03 7.4431320e-05 1.1011673e-02 -2.2522534e-02 5.4270980e-04 2.8238914e+00 6.2191053e-02 2.1547114e-02
3.0000000e+00 2.4000000e+00 9.2055433e-01 3.0481727e-03 1.0739890e-04 4.7432488e-02 -2.2275385e-02 5.4720232e-04 2.8764483e+00 4.2127172e-02 1.7435568e-02
3.0000000e+00 2.0000000e+00 9.2212435e-01 3.0485849e-03 5.0553969e-05 3.0420616e-02 -2.1232073e-02 5.7598728e-04 2.6726310e+00 5.5332318e-02 2.2860502e-02
3.0000000e+00 1.7142857e+00 9.2326920e-01 3.0488348e-03 4.5036335e-05 3.4798953e-02 -1.9970755e-02 3.2405038e-04 2.7769612e+00 6.0283280e-02 2.0726711e-02
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## Log of updates to ADRESSTools
**Eos - 10.04.2023:**
-> The Material Database is now an independent package that does not depend on the PESTools package.
-> New App available: IMFP determination via an app using 'IMFP_UI'.
-> New App available: PES binding energy spectrum, photoionisation cross-section and asymmetry app using 'PES_UI'.
-> Updated PEARL data-loader function.
**Dionysus - 22.10.2022:**
-> Multiple bug fixes and improvement of PES / XPS analysis and curve fitting tools.
-> Improvement to figure aesthetics used in the codebase.
-> Updated GitHub Repo information and added several showcases of the functions available in ADRESSTools.
-> More generalised EF fitting function, allowing more accurate fits to the EF edge.
-> Updated angle -> wave-vector conversions to take into account new ADRESS geometry.
**Cronus - 28.09.2022:**
-> Multiple bug fixes and improvement of PES / XPS analysis and curve fitting tools.
-> Updated Theory Data from Microsoft - all up-to-date now.
-> Added Physics Constants to Materials Database.
-> Uploaded MATools to 'Skyfall' version, with new ARPES geometry considered.
**Basil - 21.02.2022:**
-> Multiple bug fixes and improvement of PES / XPS analysis and curve fitting tools.
**Ajax - 24.11.2021:** Integration of PES / XPS analysis and curve fitting tools.
**v2.1 - 17.07.2020:** Massive upgrade to all UI systems and added several new features for analysis.
**v2.0 - 13.11.2019:** Further development of all UI's to make them all consistent;
-> When saving on the 'arpes_processor' UI, it will now automatically also save an info .txt file.
-> Added new method in 'kf_analysis' that will track states by measuring the full-width at half-maximum as a function of a scan parameter. This method allowed for kF to be tracked automatically using the algorithm, with the user only defining the region of interest.
-> Added feature in 'kf_analysis' that will plot a summary video showing the fits as a function of the scan parameter.
-> Merging to master.
**v1.8 - 06.02.2019:** Further development of the 'arpes_statefitting' UI;
-> Added Voigt curve that can be fitted.
**v1.7 - 18.12.2018:** Further development of the 'arpes_statefitting' UI;
-> Combined fit range and fit routine functions.
**v1.6 - 06.12.2018:** Developed all UI's to be mutually consistent in forms.
**v1.5 - 28.11.2018:** Developed the 'kf_analysis' UI.
**v1.4 - 26.11.2018:** Developed the 'bz_navigation' UI.
**v1.3 - 24.11.2018:** Developed the 'arpes_isoeanalysis' UI.
**v1.2 - 10.11.2018:** Developed the 'arpes_statefitting' UI.
**v1.1 - 05.11.2018:** Developed the 'arpes_processor' UI.
**v1.0 - 10.10.2018:** Single GUI to perform all processing and analysis.
## List of known bugs