Closedown
This commit is contained in:
@@ -1,6 +1,6 @@
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{
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"name": "test1",
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"crystal": "['cubic', 'Triclinic', 7.723, 7.707, 7.723, 90.0, 89.265, 90.0]",
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"crystal": "['cubic', 'Triclinic', 7.723071056222668, 7.702898811460209, 7.720064193668625, 89.99965543112849, 89.21875367198528, 89.99500143686504]",
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"reflist": {
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"1": {
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"tag": "None",
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@@ -8,6 +8,34 @@
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"pos": "[5.0, 9.3822, 19.7785, 104.4223, 0, 0]",
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"energy": 9.5007,
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"time": "2019-07-04T08:48:00.667000"
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},
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"2": {
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"tag": "None",
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"hkl": "[2.0, 0.0, 2.0]",
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"pos": "[5.0, 19.054, 20.167, 13.8111, 0, 0]",
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"energy": 9.5007,
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"time": "2019-07-04T09:47:45.672000"
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},
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"3": {
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"tag": "None",
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"hkl": "[2.0, 2.0, 2.0]",
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"pos": "[5.0, 27.1074, 21.198, 61.8741, 0, 0]",
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"energy": 9.5007,
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"time": "2019-07-04T10:13:37.671000"
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},
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"4": {
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"tag": "None",
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"hkl": "[0.0, -1.0, 2.0]",
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"pos": "[5.0, 9.5098, 19.7025, -76.397, 0, 0]",
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"energy": 9.5007,
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"time": "2019-07-04T10:46:10.117000"
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},
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"5": {
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"tag": "None",
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"hkl": "[0.0, 3.0, 2.0]",
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"pos": "[5.0, 28.827, 21.7498, 107.7429, 0, 0]",
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"energy": 9.5007,
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"time": "2019-07-04T10:56:41.220000"
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}
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},
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"orientlist": {},
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@@ -18,9 +46,9 @@
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"n_phi_configured": "[0.0, 0.0, 1.0]"
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},
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"u": [
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"1.0, 0.0, 0.0",
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"0.0, 1.0, 0.0",
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"0.0, 0.0, 1.0"
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"0.9999129122215213, 0.007489577628036139, 0.010866195269269147",
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"-0.007454780892516531, 0.999966966138507, -0.0032392705343809503",
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"-0.01089009708500512, 0.0031579833286385197, 0.9999357143970682"
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],
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"ub": null,
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"or0": null,
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@@ -3,11 +3,25 @@
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"crystal": "['cubic', 'Triclinic', 7.723, 7.707, 7.723, 90.0, 89.265, 90.0]",
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"reflist": {
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"1": {
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"tag": null,
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"tag": "None",
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"hkl": "[0.0, 1.0, 2.0]",
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"pos": "[5.0, 9.3822, 19.7785, 104.4223, 0, 0]",
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"energy": 9.5007,
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"time": "2019-07-04T08:48:00.667000"
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},
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"2": {
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"tag": "None",
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"hkl": "[2.0, 0.0, 2.0]",
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"pos": "[5.0, 19.054, 20.167, 13.8111, 0, 0]",
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"energy": 9.5007,
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"time": "2019-07-04T09:47:45.672000"
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},
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"3": {
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"tag": null,
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"hkl": "[2.0, 2.0, 2.0]",
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"pos": "[5.0, 27.1074, 21.198, 61.8741, 0, 0]",
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"energy": 9.5007,
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"time": "2019-07-04T10:13:37.671000"
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}
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},
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"orientlist": {},
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@@ -1,4 +1,4 @@
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#Thu Jul 04 09:12:28 CEST 2019
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#Thu Jul 04 16:08:25 CEST 2019
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count_time=1.0
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geometry=fourcv
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roi=219 102 239 122
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roi=173 88 285 136
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@@ -1,8 +1,8 @@
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#Mon Feb 11 13:57:36 CET 2019
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colormap=Temperature
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#Thu Jul 04 14:34:38 CEST 2019
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colormap=Flame
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colormapAutomatic=false
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colormapLogarithmic=false
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colormapMax=10.0
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colormapMax=1000.0
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colormapMin=0.0
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flipHorizontally=false
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flipVertically=false
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@@ -1,6 +1,6 @@
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import numpy
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def img_get_int(fname, thres1, thres2, thres3, thres4, header, width, height, depth, x1,y1,x2,y2, bx1,by1,bx2,by2 ):
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def img_get_int(fname, thres1, thres2, thres3, thres4, header, width, height, depth, x1,y1,x2,y2, bx1,by1,bx2,by2 , filter_median = False, filter_nsigma = 0):
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# read actual image file
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img = numpy.fromfile(fname, dtype=numpy.uint32)
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img.shape = height, width
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@@ -1,7 +1,7 @@
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from jeputils import *
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def img_get_int(fname, thres1, thres2, thres3, thres4, header, width, height, depth, x1,y1,x2,y2, bx1,by1,bx2,by2 ):
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ret = call_jep("cpython/image_functions", "img_get_int", [fname, thres1, thres2, thres3, thres4, header, width, height, depth, x1,y1,x2,y2, bx1,by1,bx2,by2])
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def img_get_int(fname, thres1, thres2, thres3, thres4, header, width, height, depth, x1,y1,x2,y2, bx1,by1,bx2,by2 , filter_median = False, filter_nsigma = 0)):
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ret = call_jep("cpython/image_functions", "img_get_int", [fname, thres1, thres2, thres3, thres4, header, width, height, depth, x1,y1,x2,y2, bx1,by1,bx2,by2, filter_median, filter_nsigma)])
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#return ret
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#TODO: Why I_sum ans I_sum_bgr are strings?
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(I_sum, area_I, thresh1_count, thresh2_count, thresh3_count, thresh4_count, I_sum_bgr, area_bgr) = ret
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@@ -272,8 +272,8 @@ def get_diag_channels():
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return diag_channels
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def get_diag_name(diag):
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return ch.psi.utils.Str.toTitleCase(diag.getName()).replace(" ", "")
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return ch.psi.utils.Str.toTitleCase(diag if is_string(diag) else diag.getName()).replace(" ", "")
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def print_diag():
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for f in get_diag_channels():
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print "%-25s %s" % (get_diag_name(f) , str(f.read()))
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@@ -378,6 +378,100 @@ def wait_for_file_size(filepath, size, timeout = None):
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time.sleep(wait_time)
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###################################################################################################
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# Scan commands
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###################################################################################################
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def relscan(motor, start, end, number_of_steps, count_time):
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"""
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Relative scan
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"""
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set_count_time(count_time)
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detectors = [mythen, mythen.acquire_time, pixel, pixel.image_filename, image.intensity,image.corrected_intensity, image.matrix]
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#TODO: Set based on experiment context
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pixel.set_path("../../expdata/bml_20190703/pixel/", "images")
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#TODO: should be set automatically
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set_roi(173,88,285,136)
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show_panel(detector_image)
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pixel.show()
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pixel.assert_ready()
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return lscan (motor, detectors, start, end, int(number_of_steps), relative=True, before_read=before_sample, after_read=after_sample)
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def absscan(motor, start, end, number_of_steps, count_time):
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"""
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Absolute scan
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"""
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set_count_time(count_time)
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detectors = [mythen, mythen.acquire_time, pixel, pixel.image_filename, image.intensity,image.corrected_intensity, image.matrix]
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#TODO: Set based on experiment context
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pixel.set_path("../../expdata/bml_20190703/pixel/", "images")
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#TODO: should be set automatically
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set_roi(173,88,285,136)
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show_panel(detector_image)
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pixel.show()
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pixel.assert_ready()
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return lscan (motor, detectors, start, end, int(number_of_steps), relative=False, before_read=before_sample, after_read=after_sample)
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def abs2scan(motor1, start1, end1, motor2, start2, end2, number_of_steps, count_time):
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"""
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Absolute scan of 2 motors
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"""
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set_count_time(count_time)
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detectors = [mythen, mythen.acquire_time, pixel, pixel.image_filename, image.intensity,image.corrected_intensity, image.matrix]
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#TODO: Set based on experiment context
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pixel.set_path("../../expdata/bml_20190703/pixel/", "images")
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#TODO: should be set automatically
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set_roi(173,88,285,136)
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show_panel(detector_image)
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pixel.show()
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pixel.assert_ready()
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return lscan ([motor1, motor2], detectors, [start1, start2], [end1, end2], int(number_of_steps), relative=False, before_read=before_sample, after_read=after_sample)
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def hrodscan(start, end, number_of_steps, count_time):
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"""
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Scan on l
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"""
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return absscan (h, start, end, number_of_steps, count_time)
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def krodscan(start, end, number_of_steps, count_time):
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"""
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Scan on k
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"""
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return absscan (k, start, end, number_of_steps, count_time)
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def lrodscan(start, end, number_of_steps, count_time):
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"""
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Scan on l
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"""
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return absscan (l, start, end, number_of_steps, count_time)
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def hkllinscan(hstart, hfinish, kstart, kfinish, lstart, lfinish, number_of_steps, count_time):
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"""
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Linear scan on hkl
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"""
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vector = []
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hs = float(hfinish - hstart)/number_of_steps
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ks = float(kfinish - kstart)/number_of_steps
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ls = float(lfinish - lstart)/number_of_steps
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for i in range(number_of_steps+1):
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hp = hstart + i * hs
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kp = kstart + i * ks
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lp = lstart + i * ls
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vector.append([hp, kp, lp] )
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set_count_time(count_time)
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detectors = [mythen, mythen.acquire_time, pixel, pixel.image_filename, image.intensity,image.corrected_intensity, image.matrix]
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#TODO: Set based on experiment context
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pixel.set_path("../../expdata/bml_20190703/pixel/", "images")
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#TODO: should be set automatically
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set_roi(173,88,285,136)
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show_panel(detector_image)
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pixel.show()
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pixel.assert_ready()
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return hklscan(vector, detectors,latency = 0.0, before_read=before_sample, after_read=after_sample)
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###################################################################################################
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# Configuration
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@@ -297,4 +297,3 @@ def auto_after_sample(rec, scan):
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else:
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RETRY_COUNT = 0
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return True
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