Merge production changes into test integration branch

2026-10-28 16:48:12 +01:00
commit 225ea18da2
@@ -0,0 +1,457 @@
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+windowModified=false
+windowOpacity=1
+windowTitle=BEC - TestLayout4
+workspace_is_locked=false
+
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+html_text="<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n<html><head><meta name=\"qrichtext\" content=\"1\" /><meta charset=\"utf-8\" /><style type=\"text/css\">\np, li { white-space: pre-wrap; }\nhr { height: 1px; border-width: 0; }\nli.unchecked::marker { content: \"\\2610\"; }\nli.checked::marker { content: \"\\2612\"; }\n</style></head><body style=\" font-family:'Cantarell'; font-size:11pt; font-weight:400; font-style:normal;\">\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">Starting daily beamline setup</p>\n<p style=\"-qt-paragraph-type:empty; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><br /></p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Machine current OK (401.8 mA)</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Beamline is not offline, (operation mode is attended)</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ FE shutter is open</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Hutch shutter is open</p>\n<p style=\"-qt-paragraph-type:empty; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><br /></p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ SS Xray eye is OUT</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Cryostream temperature: 99.96 K</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Detector height: 62.0 mm</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Beamstop blocking beam: I2 = 8.76e-09</p>\n<p style=\"-qt-paragraph-type:empty; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><br /></p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Beamline energy set to 12400 eV</p>\n<p style=\"-qt-paragraph-type:empty; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><br /></p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Beam aligned</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">Displacement: Beam X: -0.1 microns, Beam Y: -0.3 microns</p>\n<p style=\"-qt-paragraph-type:empty; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><br /></p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Flux measured</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">Intensity at current transmission: 8.62e+11 ph/s</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">Intensity at 100% transmission: 8.53e+12 ph/s</p>\n<p style=\"-qt-paragraph-type:empty; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\"><br /></p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">Total duration: 39.7 s</p></body></html>"
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+acceptDrops=false
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+autoFillBackground=true
+baseSize=@Size(0 0)
+contextMenuPolicy=@Variant(\0\0\0\x7f\0\0\0\x16Qt::ContextMenuPolicy\0\0\0\0\x1)
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+enabled=true
+focusPolicy=@Variant(\0\0\0\x7f\0\0\0\x10Qt::FocusPolicy\0\0\0\0\0)
+geometry=@Rect(0 0 256 1416)
+html_text="<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n<html><head><meta name=\"qrichtext\" content=\"1\" /><meta charset=\"utf-8\" /><style type=\"text/css\">\np, li { white-space: pre-wrap; }\nhr { height: 1px; border-width: 0; }\nli.unchecked::marker { content: \"\\2610\"; }\nli.checked::marker { content: \"\\2612\"; }\n</style></head><body style=\" font-family:'Cantarell'; font-size:11pt; font-weight:400; font-style:normal;\">\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Pre checks</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Set energy</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Move beam</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">– Align beamstop</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">– Align collimator</p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">✓ Measure flux</p></body></html>"
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+maximumSize=@Size(16777215 16777215)
+minimumSize=@Size(256 310)
+mouseTracking=false
+plain_text=✓ Pre checks\n✓ Set energy\n✓ Move beam\n– Align beamstop\n– Align collimator\n✓ Measure flux
+sizeIncrement=@Size(0 0)
+sizePolicy=@Variant(\0\0\0K\0\0\0U)
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+[BECDockArea.dockSettingsAction]
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+whatsThis=
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+[Perspectives]
+1\Name=BEC - TestLayout4
+1\State="@ByteArray(\0\0\x3:x\xda\x95\x92\xdfO\x83\x30\x10\xc7\xdf\xfd+.}\x9f@\xcb\x94%\xc0\xb2`\x96\xf8\xe2\x8f\xb0\xe9\xa3\x41\x38I#\xb4\xa6\xed\x16\x35\xfe\xf1\x16\xb6\x10\xa3\x65\x91\x87\xa6\xbd\xef]?\xed\xf7r\xf1\xf2\xbdm`\x8fJs)\x12\x12\x9c\xfb\x4P\x94\xb2\xe2\xa2N\xc8v\xb3\x9e\x45\x64\x99\xc6\xf7\x66U\xed\vQbu%\xcbW\x9b\xcb?\xb4\xc1\x16\x1e\x86\x8b\x4\xb6\x1a\xd5\x10[L&\x85)\xb8\xb0J\x97N\xe3!\x86u#\v\xd3?\xe0[=\x7fk\xb8\x31V\xbeU\x1cm\x89\xe9\x1_\x1d`'LB\xe8?kV\n\v\xd8\x14\xcf\xfds\x90\xed\x94\xc2.u\xa7\x64\xadPk[\xf1\xc8\xab\x1a\r\xdc\x14-\xfe\xd0!k\xa4\xc6\xaa\xfb\x8c\x97\xc6^\x87\x19\x85]\x8b\x17\xf9\x1b\xd4kNH\xce?Q\xa7t\x1e@D)\xc4\xde!\xb6\xfb\xd1\xcd\x98\xaf\xd9\xe0+<\xe1\xab\x91\xe6)\xf8\xe3\xea\xa0N\xf1\xd4_\xa1N\x10\x9d\xe\x62N\x10\x9b\xe\n\x9d\xa0\xf0T\xa7\xd9\xe5\x5\x30\xb6\0\xb6`\xc0\xe8\xc2\xdd\xf1^\t\xfc(\x80\xb9]\xae\x12o\x98T{\x1e\x99\xfc\xf4\xec\x1b\xd0\xbb\tD)"
+size=1
+
+[mainWindow]
+DockingState="@ByteArray(\0\0\x3:x\xda\x95\x92\xdfO\x83\x30\x10\xc7\xdf\xfd+.}\x9f@\xcb\x94%\xc0\xb2`\x96\xf8\xe2\x8f\xb0\xe9\xa3\x41\x38I#\xb4\xa6\xed\x16\x35\xfe\xf1\x16\xb6\x10\xa3\x65\x91\x87\xa6\xbd\xef]?\xed\xf7r\xf1\xf2\xbdm`\x8fJs)\x12\x12\x9c\xfb\x4P\x94\xb2\xe2\xa2N\xc8v\xb3\x9e\x45\x64\x99\xc6\xf7\x66U\xed\vQbu%\xcbW\x9b\xcb?\xb4\xc1\x16\x1e\x86\x8b\x4\xb6\x1a\xd5\x10[L&\x85)\xb8\xb0J\x97N\xe3!\x86u#\v\xd3?\xe0[=\x7fk\xb8\x31V\xbeU\x1cm\x89\xe9\x1_\x1d`'LB\xe8?kV\n\v\xd8\x14\xcf\xfds\x90\xed\x94\xc2.u\xa7\x64\xadPk[\xf1\xc8\xab\x1a\r\xdc\x14-\xfe\xd0!k\xa4\xc6\xaa\xfb\x8c\x97\xc6^\x87\x19\x85]\x8b\x17\xf9\x1b\xd4kNH\xce?Q\xa7t\x1e@D)\xc4\xde!\xb6\xfb\xd1\xcd\x98\xaf\xd9\xe0+<\xe1\xab\x91\xe6)\xf8\xe3\xea\xa0N\xf1\xd4_\xa1N\x10\x9d\xe\x62N\x10\x9b\xe\n\x9d\xa0\xf0T\xa7\xd9\xe5\x5\x30\xb6\0\xb6`\xc0\xe8\xc2\xdd\xf1^\t\xfc(\x80\xb9]\xae\x12o\x98T{\x1e\x99\xfc\xf4\xec\x1b\xd0\xbb\tD)"
+Geometry=@ByteArray(\x1\xd9\xd0\xcb\0\x3\0\0\0\0\0\0\0\0\0\x17\0\0\x6\x85\0\0\x5\xf7\0\0\0\0\0\0\0\0\xff\xff\xff\xff\xff\xff\xff\xff\0\0\0\0\0\0\0\0\xf\0\0\0\0\0\0\0\0\x17\0\0\x6\x85\0\0\x5\xf7)
+State=@Variant(\0\0\0\x7f\0\0\0\tPyObject\0\0\0\0\xf\x80\x4\x95\x4\0\0\0\0\0\0\0\x43\0\x94.)
+
+[manifest]
+widgets\1\closable=true
+widgets\1\floatable=true
+widgets\1\floating=false
+widgets\1\floating_abs_h=0
+widgets\1\floating_abs_w=0
+widgets\1\floating_abs_x=0
+widgets\1\floating_abs_y=0
+widgets\1\floating_rel_h=0
+widgets\1\floating_rel_w=0
+widgets\1\floating_rel_x=0
+widgets\1\floating_rel_y=0
+widgets\1\floating_screen=
+widgets\1\movable=true
+widgets\1\object_name=Info
+widgets\1\widget_class=TextBox
+widgets\2\closable=true
+widgets\2\floatable=true
+widgets\2\floating=false
+widgets\2\floating_abs_h=0
+widgets\2\floating_abs_w=0
+widgets\2\floating_abs_x=0
+widgets\2\floating_abs_y=0
+widgets\2\floating_rel_h=0
+widgets\2\floating_rel_w=0
+widgets\2\floating_rel_x=0
+widgets\2\floating_rel_y=0
+widgets\2\floating_screen=
+widgets\2\movable=true
+widgets\2\object_name=Plot_1
+widgets\2\widget_class=Waveform
+widgets\3\closable=true
+widgets\3\floatable=true
+widgets\3\floating=false
+widgets\3\floating_abs_h=0
+widgets\3\floating_abs_w=0
+widgets\3\floating_abs_x=0
+widgets\3\floating_abs_y=0
+widgets\3\floating_rel_h=0
+widgets\3\floating_rel_w=0
+widgets\3\floating_rel_x=0
+widgets\3\floating_rel_y=0
+widgets\3\floating_screen=
+widgets\3\movable=true
+widgets\3\object_name=Plot_2
+widgets\3\widget_class=Waveform
+widgets\4\closable=true
+widgets\4\floatable=true
+widgets\4\floating=false
+widgets\4\floating_abs_h=0
+widgets\4\floating_abs_w=0
+widgets\4\floating_abs_x=0
+widgets\4\floating_abs_y=0
+widgets\4\floating_rel_h=0
+widgets\4\floating_rel_w=0
+widgets\4\floating_rel_x=0
+widgets\4\floating_rel_y=0
+widgets\4\floating_screen=
+widgets\4\movable=true
+widgets\4\object_name=Plot_3
+widgets\4\widget_class=Waveform
+widgets\5\closable=true
+widgets\5\floatable=true
+widgets\5\floating=false
+widgets\5\floating_abs_h=0
+widgets\5\floating_abs_w=0
+widgets\5\floating_abs_x=0
+widgets\5\floating_abs_y=0
+widgets\5\floating_rel_h=0
+widgets\5\floating_rel_w=0
+widgets\5\floating_rel_x=0
+widgets\5\floating_rel_y=0
+widgets\5\floating_screen=
+widgets\5\movable=true
+widgets\5\object_name=Plot_4
+widgets\5\widget_class=Waveform
+widgets\6\closable=true
+widgets\6\floatable=true
+widgets\6\floating=false
+widgets\6\floating_abs_h=0
+widgets\6\floating_abs_w=0
+widgets\6\floating_abs_x=0
+widgets\6\floating_abs_y=0
+widgets\6\floating_rel_h=0
+widgets\6\floating_rel_w=0
+widgets\6\floating_rel_x=0
+widgets\6\floating_rel_y=0
+widgets\6\floating_screen=
+widgets\6\movable=true
+widgets\6\object_name=Progress
+widgets\6\widget_class=TextBox
+widgets\size=6
+
+[profile]
+created_at=2026-09-27T09:27:43Z
+quick_select=true
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+screenshot_at=2026-09-27T09:27:43Z
@@ -65,15 +65,15 @@ aerotech:
      mount: 0
      work: 0
    x:
-      in: 0.05997465
+      in: 0.0599968
      out: -10
      safe: -50
    y:
      mount: -0.0
-      work: -0.02999903
+      work: -0.03699256
    z:
      mount: 0
-      work: -0.00900401
+      work: -0.00900414
 bcu_bpm1:
  description: BCU BPM Channel 1
  deviceClass: ophyd.EpicsSignalRO
@@ -302,7 +302,7 @@ bs_x:
  onFailure: buffer
  readoutPriority: baseline
  userParameter:
-    in: 0.39119736
+    in: 0.44000227
 bs_y:
  description: Beamstop Y
  deviceClass: ophyd_devices.EpicsMotor
@@ -314,7 +314,7 @@ bs_y:
  onFailure: buffer
  readoutPriority: baseline
  userParameter:
-    in: 0.76699895
+    in: -3.3000017
 bs_z:
  description: Beamstop Z
  deviceClass: ophyd_devices.EpicsMotor
@@ -444,7 +444,7 @@ coll_x:
  onFailure: buffer
  readoutPriority: baseline
  userParameter:
-    in: 0.67471002
+    in: 0.68249115
 coll_y:
  description: Collimator Y
  deviceClass: ophyd_devices.EpicsMotor
@@ -456,7 +456,7 @@ coll_y:
  onFailure: buffer
  readoutPriority: baseline
  userParameter:
-    in: 39.02
+    in: 39.01884961
    intermediate: 32
    out: 20.002
    park: 1
@@ -1771,7 +1771,6 @@ transm:
  deviceClass: ophyd_devices.EpicsSignal
  deviceConfig:
    read_pv: X10SA-ES-SSFI:TRANSM-SET
-    write_pv: X10SA-ES-SSFI:TRANSM-SET
  deviceTags:
  - transm
  enabled: true
@@ -1283,30 +1283,12 @@ def kbfocus(sizex, sizey):
    return


-#########################
-### Status of the BEC
-#########################
-
-
-def bstatus():
-    #
-    dock_area = bec.gui.new()
-
-    dbrowser = dock_area.new("device_browser").new(bec.gui.available_widgets.DeviceBrowser)
-
-    dock_area.new("queue").new(bec.gui.available_widgets.BECQueue)
-    # queue = dock_area.queue.BECQueue # give it a name
-    # text_box = dock_area.new().new(widget=bec.gui.available_widgets.TextBox)
-    # text_box.set_plain_text("Hello, World!")
-    # text_box.set_html_text("<h1>Welcome to BEC Widgets</h1><p>This is an example of displaying <strong>HTML</strong> text.</p>")
-
-
 ###########################
 ### move in the X-ray Eye
 ###########################


-def detxeye_in(setdetzpos=200, setdetypos=213.6):
+def detxeye_in(setdetzpos=200, setdetypos=151.6):
    """
    moves in the Xray eye and the Diode below detector
    """
@@ -1316,7 +1298,7 @@ def detxeye_in(setdetzpos=200, setdetypos=213.6):
    setxrpos = 0.0

    # setdetzpos = 200  # 200 better?
-    # setdetypos = 213.6
+    # Detector Y reference changed by 62 mm; previous position was 213.6 mm.

    detzpos = dev.det_z.user_readback.get()
    detypos = dev.det_y.user_readback.get()
@@ -1353,7 +1335,7 @@ def detxeye_out():
    moves det back and down
    """
    setdetzpos = 500
-    setdetypos = 70
+    setdetypos = 0
    umv(dev.det_z, setdetzpos)
    detzpos = dev.det_z.user_readback.get()
    if detzpos > 300:
@@ -1769,3 +1751,31 @@ def fluxcal(start_en=13, stop_en=14, step=1):
    # umv(dev.bs_y, bs_in)

    fitpoly(dat_en, dat_quot_flbsum, 3)
+
+
+def testflux():
+    import time, datetime
+
+    energy = get_current_energy()
+    count = 0
+    stop = 1000
+    while count < stop:
+
+        bpmsum_c = dev.bcu_bpmsum.read(cached=True)["bcu_bpmsum"]["value"]
+        transm_c = dev.transm.read(cached=True)["transm"]["value"]
+
+        bpmsum = dev.bcu_bpmsum.read()["bcu_bpmsum"]["value"]
+        transm = dev.transm.read()["transm"]["value"]
+
+        print(f'******************************************************************************')
+        print(f'bpmsum_cached {bpmsum_c}, transm_cached {transm_c}')
+        bpm2flux(energy, bpmsum_c, transm_c)
+        print(f' ')
+        print(f'bpmsum NOT c {bpmsum}, transm NOT c {transm}')
+        bpm2flux(energy, bpmsum, transm)
+        if (transm_c < 0.001 or transm < 0.001):
+            timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
+            print(f'WARNING ! timing issue at {timestamp}')
+        time.sleep(1)
+        count += 1
+    return
@@ -2,68 +2,71 @@ def evalflux():

    from APscripts import read_data_csv, fitpoly

-    data=read_data_csv('FLUX_x10sa_20260709_174259.txt')
-
-    einv=data[:, 0]
-    fcalfinv = data[:, 6] # if energy top down
+    data = read_data_csv("FLUX_x10sa_20260709_174259.txt")

+    einv = data[:, 0]
+    fcalfinv = data[:, 6]  # if energy top down

    e = einv[::-1]
    flcf = fcalfinv[::-1]

    # omit the last values (>= 27 keV)

-    len(e) # = 25
+    len(e)  # = 25
    e = e[0:21]
-    flcf =flcf[0:21]/1.e9 ## divide by 1e9 for better readability
+    flcf = flcf[0:21] / 1.0e9  ## divide by 1e9 for better readability

    fitpoly(e, flcf, 3)

    # Polynomial coefficients of the fit fct:  3 [-0.00026213  0.01171065 -0.05379571  0.04478851]


-def csplinex(x,y,en):
+def csplinex(x, y, en):
    from scipy.interpolate import CubicSpline

    # Create spline
    cs = CubicSpline(x, y)
-    y_cs = cs(en) 
+    y_cs = cs(en)
    return y_cs

-    
+
 def flux_bcu():
-    e = get_current_energy()/1000.
-    bcusum = read_av(dev.bcu_bpmsum,10)
-    flux = fl_bcubpm(e,bcusum)
-    return f"{flux:.2e}"  
-    
+    e = get_current_energy() / 1000.0
+    bcusum = read_av(dev.bcu_bpmsum, 10)
+    flux = fl_bcubpm(e, bcusum)
+    return f"{flux:.2e}"
+
+
 def flux_i1():
-    e = get_current_energy()/1000
-    i1 = read_av(dev.i1,10)
+    e = get_current_energy() / 1000
+    i1 = read_av(dev.i1, 10)
    flux = fl_i1(e, i1)
-    return f"{flux:.2e}"  
-    
-def fl_bcubpm(e,bcusum):
-    import numpy as np    
-    fact = 1.e9 
-    coeff = [-0.00026213,  0.01171065, -0.05379571,  0.04478851]
-    if e > 24 :
-        coeff = [4.83704287e-05, -3.17174523e-03,  7.33131161e-02, -5.91926617e-01, 1.66572494e+00]
+    return f"{flux:.2e}"
+
+
+def fl_bcubpm(e, bcusum):
+    import numpy as np
+
+    fact = 1.0e9
+    coeff = [-0.00026213, 0.01171065, -0.05379571, 0.04478851]
+    if e > 24:
+        coeff = [4.83704287e-05, -3.17174523e-03, 7.33131161e-02, -5.91926617e-01, 1.66572494e00]
    polynomial = np.poly1d(coeff)
    fl = polynomial(e) * bcusum * fact
-    #print(f'flux from {bcusum} with en {e} is {fl:.2e} ph/s')
-    
-    return fl 
-    
-def fl_i1(e,i1):
+    # print(f'flux from {bcusum} with en {e} is {fl:.2e} ph/s')
+
+    return fl
+
+
+def fl_i1(e, i1):
    import pandas as pd

    file = "luts/I1flcalf.csv"
-    df = pd.read_csv(file)  
+    df = pd.read_csv(file)
    a = df["En"]
    b = df["Fl/I1"]
-    
-    fl_i1 =  csplinex(a,b,e) *i1 
-    print(f'flux from {i1} with en {e} is {fl_i1:.2} ph/s ')
+
+    fl_i1 = csplinex(a, b, e) * i1
+    print(f"flux from {i1} with en {e} is {fl_i1:.2} ph/s ")

    return fl_i1
@@ -13,10 +13,12 @@ class KBMirror:
            self.P2 = 0.583490
            self.P3 = -0.372950
            self.L1 = -0.955798
-            self.curv_approx_fact =  0.9550 # 0.9550 # origin: 1.0121 
-            self.s1 = 24.15   
+            self.curv_approx_fact = 0.9550  # 0.9550 # origin: 1.0121
+            self.s1 = 24.15
            self.s2 = 1.45
-            self.asym0 = 0.114 ## origin: 0.0.08  + 0.034  # user asymm, eg 0.4750, will be added ( - sign) 
+            self.asym0 = (
+                0.114  ## origin: 0.0.08  + 0.034  # user asymm, eg 0.4750, will be added ( - sign)
+            )

        elif self.mirror_type == "PXII_HFM":
            self.C0 = 0.060453
@@ -24,10 +26,12 @@ class KBMirror:
            self.P2 = 0.586057
            self.P3 = -0.088093
            self.L1 = -0.999445
-            self.curv_approx_fact = 0.8810   # origin: # 0.995 
-            self.s1 = 24.90   
+            self.curv_approx_fact = 0.8810  # origin: # 0.995
+            self.s1 = 24.90
            self.s2 = 0.7
-            self.asym0 = 0.06455    ## origin: -0.0107 + 0.07525          # added user asymm 2.75 (-sign)  
+            self.asym0 = (
+                0.06455  ## origin: -0.0107 + 0.07525          # added user asymm 2.75 (-sign)
+            )

        else:
            raise ValueError(f"Unknown mirror type: {self.mirror_type}")
@@ -59,7 +63,7 @@ class KBMirror:
        return s2, R

    def get_benders(self, th=3.0, defocus_mm=0.0, user_asymmetry=0.0):
-        asym = self.asym0 - user_asymmetry #### sign is important! 
+        asym = self.asym0 - user_asymmetry  #### sign is important!
        s2_target = self.s2 + defocus_mm / 1000
        curv = self.ellipse_to_curvature(s2_target, th)
        BU, BD = self.curvature_to_bend(curv, asym)
@@ -69,16 +73,12 @@ class KBMirror:
        curv, asym = self.bend_to_curvature(BU, BD)
        s2_rb, R0 = self.curvature_to_ellipse(curv, th)
        defocus_mm = (s2_rb - self.s2) * 1000
-        bend_rad_m = 1/curv *1000
+        bend_rad_m = 1 / curv * 1000
        return {
            "curvature": curv,
-            "bend_rad_m":  bend_rad_m,
-            "bend_rad0_m":  R0,
+            "bend_rad_m": bend_rad_m,
+            "bend_rad0_m": R0,
            "asymmetry": asym,
            "s2": s2_rb,
-            "defocus_mm": defocus_mm
+            "defocus_mm": defocus_mm,
        }
-
-
-
-    
@@ -76,7 +76,6 @@ def return_harmon():

    
    fitpar_u19 = np.array([ 2.22322523,  0.50396248, -0.00783873]) # measured from U19
-
    return h

 # #####  July 2025 Data ######################################
@@ -150,6 +149,7 @@ def setu19(en, *harm_no, detune=0, simul = 0, iexp = 0):
    # dep on energy -> select harmonics
    if harm_no:
        harm = int(harm_no[0])
+
        print("Selected harmonics is:", harm)

    else:
@@ -433,7 +433,7 @@ def gscan(deltag = 0.05,centre=0, gomax=0, detune=0,sett=1, silent=0, iplot=1, i
    indmax = np.argmax(bpm_data)
    gmax = gap_data[indmax]

-    gcen, xm = fit_plot(gap_data, bpm_data, model="voigt", silent=silent, iplot=iplot)
+    gcen, xm = fit_plot(gap_data, bpm_data, tmodel="voigt", silent=silent, iplot=iplot)

    if gomax:
        gm = xm
@@ -1,19 +1,19 @@
 def beampos_with_en(planner):
-    deltat = 2 
-    record_beampos_until("23:00",planner,interval_minutes=deltat)
+    deltat = 2
+    record_beampos_until("23:00", planner, interval_minutes=deltat)
    bl_energy(6000)
-    record_beampos_until("00:00",planner,interval_minutes=deltat)
-    bl_energy(8000)    
-    record_beampos_until("01:00",planner,interval_minutes=deltat)
-    bl_energy(10000)    
-    record_beampos_until("02:00",planner,interval_minutes=deltat)
+    record_beampos_until("00:00", planner, interval_minutes=deltat)
+    bl_energy(8000)
+    record_beampos_until("01:00", planner, interval_minutes=deltat)
+    bl_energy(10000)
+    record_beampos_until("02:00", planner, interval_minutes=deltat)
    bl_energy(12000)
-    record_beampos_until("03:00",planner,interval_minutes=deltat)
+    record_beampos_until("03:00", planner, interval_minutes=deltat)
    bl_energy(12400)
-    record_beampos_until("04:00",planner,interval_minutes=deltat)
+    record_beampos_until("04:00", planner, interval_minutes=deltat)
    bl_energy(14000)
-    record_beampos_until("05:00",planner,interval_minutes=deltat)
+    record_beampos_until("05:00", planner, interval_minutes=deltat)
    bl_energy(16000)
-    record_beampos_until("06:00",planner,interval_minutes=deltat)
+    record_beampos_until("06:00", planner, interval_minutes=deltat)
    bl_energy(18000)
-    record_beampos_until("07:00",planner,interval_minutes=deltat)
+    record_beampos_until("07:00", planner, interval_minutes=deltat)
@@ -312,7 +312,12 @@ def convert_from_wavelength(
    return result


-def calc_perp_position(energy_ev: float, print_result: bool = False) -> float:
+def calc_perp_position(
+        energy_ev: float,
+        print_result: bool = False,
+        *,
+        beam_offset: float | None = None,
+        ) -> float:
    """
    Calculate the perpendicular motor position based on provided energy in electron-volts (eV).

@@ -332,8 +337,12 @@ def calc_perp_position(energy_ev: float, print_result: bool = False) -> float:
        None
    """
    result = convert_from_energy(energy_ev, print_result=False)
+
+    if beam_offset is None:
+        beam_offset = EnergyDefaults.beam_offset
+
    bragg_angle_rad = result["bragg_angle_mrad"] / 1000
-    perp_offset = float(EnergyDefaults.beam_offset / (2 * np.cos(bragg_angle_rad))) - 3
+    perp_offset = float(beam_offset / (2 * np.cos(bragg_angle_rad))) - 3
    if print_result:
        print(f"Perp = {perp_offset: .4f}")
    return perp_offset
@@ -43,6 +43,7 @@ def compute_norm_ss(n_readings=5):
    }


+
 def compute_norm_lu(n_readings=5):
    """Average normalized BPM X/Y from repeated sets of four channels."""

@@ -86,21 +87,22 @@ def run_calibration_ss():
    umv(dev.ss_bpm_x, centred_x)

    # # # Calibrate in X
-    # umv(dev.bsf_sl_xsize, 0.3)
-    # umv(dev.bsf_sl_xsize, 0.4)
-    # filename = bl.env.lut_dir / "bpm_calib" / f"ss_bpm_x_{fnow}.csv"
-    # xn_data = []
-    # x_positions = np.linspace(centred_x - 0.3, centred_x + 0.3, 51)
-    # with open(filename, "w", encoding="utf-8") as f:
-    #     f.write(f"Xpos,Xnorm,BPM1,BPM2,BPM3,BPM4\n")
-    # for x in x_positions:
-    #     umv(dev.ss_bpm_x, x)
-    #     print(f"Moving BPM X to {x} mm")
-    #     time.sleep(0.2)
-    #     xn, yn = compute_norm_ss()
-    #     xn_data.append(xn)
-    #     with open(filename, "a", encoding="utf-8") as f:
-    #         f.write(f"{x},{xn}\n")
+    umv(dev.bsf_sl_xsize, 0.3)
+    umv(dev.bsf_sl_xsize, 0.4)
+    filename = bl.env.lut_dir / "bpm_calib" / f"ss_bpm_x_{fnow}.csv"
+    xn_data = []
+    x_positions = np.linspace(centred_x - 0.3, centred_x + 0.3, 51)
+    with open(filename, "w", encoding="utf-8") as f:
+        f.write(f"Xpos,Xnorm\n")
+    for x in x_positions:
+        umv(dev.ss_bpm_x, x)
+        print(f"Moving BPM X to {x} mm")
+        time.sleep(0.2)
+        result = compute_norm_ss()
+        xn = result["ss_Xnorm"]
+        xn_data.append(xn)
+        with open(filename, "a", encoding="utf-8") as f:
+            f.write(f"{x},{xn}\n")

    # # Calibrate in Y
    umv(dev.ss_bpm_x, centred_x)
@@ -110,12 +112,13 @@ def run_calibration_ss():
    y_positions = np.linspace(centred_y - 0.04, centred_y + 0.04, 41)
    yn_data = []
    with open(filename, "w", encoding="utf-8") as f:
-        f.write(f"Ypos,Ynorm,BPM1,BPM2,BPM3,BPM4\n")
+        f.write(f"Ypos,Ynorm\n")
    for y in y_positions:
        umv(dev.ss_bpm_y, y)
        print(f"Moving BPM Y to {y} mm")
        time.sleep(0.2)
-        xn, yn = compute_norm_ss()
+        result = compute_norm_ss()
+        yn = result["ss_Ynorm"]
        yn_data.append(yn)
        with open(filename, "a", encoding="utf-8") as f:
            f.write(f"{y},{yn}\n")
@@ -136,21 +139,22 @@ def run_calibration_lu():
    umv(dev.lu_bpm_x, centred_x)

    # # Calibrate in X
-    # umv(dev.bsf_sl_xsize, 0.3)
-    # umv(dev.bsf_sl_xsize, 0.4)
-    # filename = bl.env.lut_dir / "bpm_calib" / f"lu_bpm_x_{fnow}.csv"
-    # xn_data = []
-    # x_positions = np.linspace(centred_x - 0.3, centred_x + 0.3, 51)
-    # with open(filename, "w", encoding="utf-8") as f:
-    #     f.write(f"Xpos,Xnorm\n")
-    # for x in x_positions:
-    #     umv(dev.lu_bpm_x, x)
-    #     print(f"Moving BPM X to {x} mm")
-    #     time.sleep(0.2)
-    #     xn, yn = compute_norm_lu()
-    #     xn_data.append(xn)
-    #     with open(filename, "a", encoding="utf-8") as f:
-    #         f.write(f"{x},{xn}\n")
+    umv(dev.bsf_sl_xsize, 0.3)
+    umv(dev.bsf_sl_xsize, 0.4)
+    filename = bl.env.lut_dir / "bpm_calib" / f"lu_bpm_x_{fnow}.csv"
+    xn_data = []
+    x_positions = np.linspace(centred_x - 0.3, centred_x + 0.3, 51)
+    with open(filename, "w", encoding="utf-8") as f:
+        f.write(f"Xpos,Xnorm\n")
+    for x in x_positions:
+        umv(dev.lu_bpm_x, x)
+        print(f"Moving BPM X to {x} mm")
+        time.sleep(0.2)
+        result = compute_norm_lu()
+        xn = result["lu_Xnorm"]
+        xn_data.append(xn)
+        with open(filename, "a", encoding="utf-8") as f:
+            f.write(f"{x},{xn}\n")

    # # Calibrate in Y
    umv(dev.lu_bpm_x, centred_x)
@@ -160,12 +164,13 @@ def run_calibration_lu():
    y_positions = np.linspace(centred_y - 0.04, centred_y + 0.04, 41)
    yn_data = []
    with open(filename, "w", encoding="utf-8") as f:
-        f.write(f"Ypos,Ynorm,BPM1,BPM2,BPM3,BPM4\n")
+        f.write(f"Ypos,Ynorm\n")
    for y in y_positions:
        umv(dev.lu_bpm_y, y)
        print(f"Moving BPM Y to {y} mm")
        time.sleep(0.2)
-        xn, yn = compute_norm_lu()
+        result = compute_norm_lu()
+        yn = result["lu_Ynorm"]
        yn_data.append(yn)
        with open(filename, "a", encoding="utf-8") as f:
            f.write(f"{y},{yn}\n")
@@ -175,6 +180,7 @@ def run_calibration_lu():
    umv(dev.bsf_sl_ysize, 3.0)
    umv(dev.bsf_sl_xsize, 3.0)

+
 def run_calibration(env):
    """Scan bpm in x and y and record normalised x and y positions"""
    centred_x = 0.444
@@ -192,7 +198,7 @@ def run_calibration(env):
    xn_data = []
    x_positions = np.linspace(centred_x - 0.4, centred_x + 0.4, 101)
    with open(filename, "w", encoding="utf-8") as f:
-        f.write(f"Xpos,Xnorm,BPM1,BPM2,BPM3,BPM4\n")
+        f.write(f"Xpos,Xnorm\n")
    for x in x_positions:
        umv(dev.bcu_bpm_x, x)
        print(f"Moving BPM X to {x} mm")
@@ -210,7 +216,7 @@ def run_calibration(env):
    y_positions = np.linspace(centred_y - 0.05, centred_y + 0.05, 101)
    yn_data = []
    with open(filename, "w", encoding="utf-8") as f:
-        f.write(f"Ypos,Ynorm,BPM1,BPM2,BPM3,BPM4\n")
+        f.write(f"Ypos,Ynorm\n")
    for y in y_positions:
        umv(dev.bcu_bpm_y, y)
        print(f"Moving BPM Y to {y} mm")
@@ -5,7 +5,6 @@ from datetime import datetime

 from bec_lib.device import Signal, Positioner

-
 # -------------------------------------------------------------------
 # Status Enum
 # -------------------------------------------------------------------
@@ -454,6 +453,9 @@ def filter_results(results, statuses=None):


 def run_check(show_all=False, scilog=False):
+    """Check the status of beamline motors (must exist as devices in BEC).
+    For a full list of checked devices, use run_check(show_all=True).
+    Results will be logged in scilog if scilog=True"""

    results = check2()

@@ -1,136 +1,134 @@
-import numpy as np 
-import math, time 
+import numpy as np
+import math, time
 import matplotlib.pyplot as plt
 import scipy
+
 ########################################################
-### scan FE slits and check BPMs before and after mirror 
+### scan FE slits and check BPMs before and after mirror
 ########################################################

-def gaussfit(x,y,p):
-# define a gaussian fitting function where
-# p[0] = amplitude
-# p[1] = mean
-# p[2] = sigma
-# p[3] = const offset 
-    
-    fitfct = lambda p, x0: p[0]*np.exp(-(x0-p[1])**2/(2.0*p[2]**2))+p[3]
-    #fitfct = lambda p, x0: p[0]*np.exp(-(x0-p[1])**2/(2.0*p[2]**2))
-    errfct = lambda p, x0,y0: fitfct(p,x0)-y0  
+
+def gaussfit(x, y, p):
+    # define a gaussian fitting function where
+    # p[0] = amplitude
+    # p[1] = mean
+    # p[2] = sigma
+    # p[3] = const offset
+
+    fitfct = lambda p, x0: p[0] * np.exp(-((x0 - p[1]) ** 2) / (2.0 * p[2] ** 2)) + p[3]
+    # fitfct = lambda p, x0: p[0]*np.exp(-(x0-p[1])**2/(2.0*p[2]**2))
+    errfct = lambda p, x0, y0: fitfct(p, x0) - y0

    # guess fit parameters
-    ind0 = np.where(y==max(y))[0] 
-    p0=np.c_[max(y), x[ind0], np.std(y), np.mean(y[0:5])]
-    #p0=scipy.c_[max(y), np.where(y==max(y))[0], np.std(y)]
-                  # array generation [[]], and taking only one dimens
+    ind0 = np.where(y == max(y))[0]
+    p0 = np.c_[max(y), x[ind0], np.std(y), np.mean(y[0:5])]
+    # p0=scipy.c_[max(y), np.where(y==max(y))[0], np.std(y)]
+    # array generation [[]], and taking only one dimens
    # fit a gaussian to the correlation function

-    #print('p0 = ' , p0)
-    p1, success = scipy.optimize.leastsq(errfct, p0.copy()[0],
-                                     args=(x,y))
+    # print('p0 = ' , p0)
+    p1, success = scipy.optimize.leastsq(errfct, p0.copy()[0], args=(x, y))

-    #plt.figure()
-    bestfit=fitfct(p1,x)
-    #print('************************', x,y)
-    plt.plot(x,y,'r*')    
-    plt.plot(x,bestfit,'r-')
+    # plt.figure()
+    bestfit = fitfct(p1, x)
+    # print('************************', x,y)
+    plt.plot(x, y, "r*")
+    plt.plot(x, bestfit, "r-")

    # different fit fct
-    #popt, pcov = curve_fit(fitfct, x, y)
-    #newfit=fitfct(popt,x)
-    #plt.plot(x,newfit,'g+')
+    # popt, pcov = curve_fit(fitfct, x, y)
+    # newfit=fitfct(popt,x)
+    # plt.plot(x,newfit,'g+')

-    
    plt.show()

    return bestfit, p1

-def scan_fe_sl(dir = "y"):
-    if dir in ["y","v"]:
-        sdir ="vertical"
+
+def scan_fe_sl(dir="y"):
+    if dir in ["y", "v"]:
+        sdir = "vertical"
        fe_size0 = dev.fe_sl_ysize.user_readback.get()
-        print('Closing vertical FE slits to 0.1')  
+        print("Closing vertical FE slits to 0.1")
        umv(dev.fe_sl_ysize, 0.1)
-        s = scans.line_scan(dev.fe_sl_ycen,-1,1, exp_time=02., steps=21, relative=True)
+        s = scans.line_scan(dev.fe_sl_ycen, -1, 1, exp_time=02.0, steps=21, relative=True)
        time.sleep(0.1)
        umv(dev.fe_sl_ysize, fe_size0)
-        print(f'Opening {sdir} FE slits to {fe_size0}')
-    if dir in ["x","h"]:
-        sdir ="horizontal"
+        print(f"Opening {sdir} FE slits to {fe_size0}")
+    if dir in ["x", "h"]:
+        sdir = "horizontal"
        fe_size0 = dev.fe_sl_xsize.user_readback.get()
-        print('Closing horizontal FE slits to 0.1')  
+        print("Closing horizontal FE slits to 0.1")
        umv(dev.fe_sl_xsize, 0.1)
-        s = scans.line_scan(dev.fe_sl_xcen,-1,1, exp_time=02., steps=21, relative=True)
+        s = scans.line_scan(dev.fe_sl_xcen, -1, 1, exp_time=02.0, steps=21, relative=True)
        time.sleep(0.1)
        umv(dev.fe_sl_xsize, fe_size0)
-        print(f'Opening {sdir} FE slits to {fe_size0}')
+        print(f"Opening {sdir} FE slits to {fe_size0}")
    else:
-        print('no valid direction, doing nothing') 
-    
-def mirrh(dir='y'):
-    
-    #dat_ss = read_data_csv("/home/anuschka/SS_pitch2p94.csv")
-    #dat_bcu = read_data_csv("/home/anuschka/BCU_pitch2p94.csv")
+        print("no valid direction, doing nothing")
+
+
+def mirrh(dir="y"):
+
+    # dat_ss = read_data_csv("/home/anuschka/SS_pitch2p94.csv")
+    # dat_bcu = read_data_csv("/home/anuschka/BCU_pitch2p94.csv")

    scan_fe_sl(dir=dir)
    ind = -1
-    if dir in ["x","h"]:
-        slitmot = 'fe_sl_xcen'
-    if dir in ["y","v"]:
-        slitmot = 'fe_sl_ycen'        
-    
-    dat_ss = save_data(ind, slitmot, 'ss_bpmsum', isave = 0)
-    dat_bcu = save_data(ind, slitmot, 'bcu_bpmsum', isave = 0)
-    
+    if dir in ["x", "h"]:
+        slitmot = "fe_sl_xcen"
+    if dir in ["y", "v"]:
+        slitmot = "fe_sl_ycen"

-    data_xs = dat_ss[0]      # csv would be: dat_ss[:, 0]
+    dat_ss = save_data(ind, slitmot, "ss_bpmsum", isave=0)
+    dat_bcu = save_data(ind, slitmot, "bcu_bpmsum", isave=0)
+
+    data_xs = dat_ss[0]  # csv would be: dat_ss[:, 0]
    data_ys = dat_ss[1]
-    
+
    data_xb = dat_bcu[0]
    data_yb = dat_bcu[1]

-    #plt.figure()
+    # plt.figure()

-    #plt.plot(data_xs, data_ys, "*")
-    #plt.plot(data_xb, data_yb, "+")
+    # plt.plot(data_xs, data_ys, "*")
+    # plt.plot(data_xb, data_yb, "+")

-    data_ys_norm = data_ys/max(data_ys) # looks better than data_ys/sum(data_ys)
-    data_yb_norm = data_yb/max(data_yb)
+    data_ys_norm = data_ys / max(data_ys)  # looks better than data_ys/sum(data_ys)
+    data_yb_norm = data_yb / max(data_yb)

    plt.figure()

    plt.plot(data_xs, data_ys_norm, "*")
    plt.plot(data_xb, data_yb_norm, "+")

-
-    y= data_ys_norm
-    xm = np.where(y==max(y))[0]
+    y = data_ys_norm
+    xm = np.where(y == max(y))[0]
    xmi = data_xs[xm]
-    #print('xm, xmi', xm, xmi) 
+    # print('xm, xmi', xm, xmi)

-    pf1 = [1, xmi , np.std(data_ys_norm), np.mean(y[0:5])]     # bg = 0 
-    fit_s, ps = gaussfit(data_xs,data_ys_norm, pf1) 
+    pf1 = [1, xmi, np.std(data_ys_norm), np.mean(y[0:5])]  # bg = 0
+    fit_s, ps = gaussfit(data_xs, data_ys_norm, pf1)

-    y= data_yb_norm
-    xm = np.where(y==max(y))[0]
+    y = data_yb_norm
+    xm = np.where(y == max(y))[0]
    xmi = data_xb[xm]
-    #print('xm, xmi', xm, xmi) 
+    # print('xm, xmi', xm, xmi)

    pf2 = [1, xmi, np.std(data_yb_norm), np.mean(y[0:5])]  # bg = -11
-    fit_b, pb = gaussfit(data_xb,data_yb_norm, pf2) 
-
+    fit_b, pb = gaussfit(data_xb, data_yb_norm, pf2)

    plt.figure()

-    plt.plot(data_xs, fit_s-ps[3], "*")
-    plt.plot(data_xs, fit_s-ps[3])
-    plt.plot(data_xb, fit_b-pb[3], "+")
-    plt.plot(data_xb, fit_b-pb[3])
+    plt.plot(data_xs, fit_s - ps[3], "*")
+    plt.plot(data_xs, fit_s - ps[3])
+    plt.plot(data_xb, fit_b - pb[3], "+")
+    plt.plot(data_xb, fit_b - pb[3])

-    print('Fit Params of First BPM, SS, ps', ps)
-    print('Fit Params of Second BPM, BCU, pb', pb)
+    print("Fit Params of First BPM, SS, ps", ps)
+    print("Fit Params of Second BPM, BCU, pb", pb)
    print()
-    if abs(ps[1]-pb[1]) > 0.05:
-        print('***** WARNING ******, mirror height not ok')
-    if abs(ps[2]-pb[2]) > 0.05:
-        print('***** WARNING ******, mirror not catching full beam')
-    
+    if abs(ps[1] - pb[1]) > 0.05:
+        print("***** WARNING ******, mirror height not ok")
+    if abs(ps[2] - pb[2]) > 0.05:
+        print("***** WARNING ******, mirror not catching full beam")
@@ -3,8 +3,9 @@

 # if you know the attribute you are searching for:

+
 def check_attr(obj, attr):
-# att as string 
+    # att as string

    attr = getattr(obj, attr)

@@ -13,7 +14,9 @@ def check_attr(obj, attr):
        print("values:", attr.values())
        print("items:", attr.items())

-# Automatically Detect All Dictionary Attributes:   
+
+# Automatically Detect All Dictionary Attributes:
+

 def list_dict_attr_single(obj):
    for attr_name, value in vars(obj).items():
@@ -22,8 +25,9 @@ def list_dict_attr_single(obj):
            print("  Keys:", list(value.keys()))
            print("  Items:")
            for key, val in value.items():
-                print(f"     {key} -> {val}") 
-            
+                print(f"     {key} -> {val}")
+
+
 # Also Handle Nested Dictionaries:


@@ -34,16 +38,11 @@ def list_dict_attr(obj):
            print(" " * indent + str(key) + ":", end=" ")
            if isinstance(value, dict):
                print()
-                print_dict(value, indent+1)
+                print_dict(value, indent + 1)
            else:
-                print(value) 
-    
+                print(value)
+
    for attr_name, value in vars(obj).items():
        if isinstance(value, dict):
            print(f"\nDictionary attribute: {attr_name}")
            print_dict(value)
-            
-
-
-
-
@@ -1,131 +1,132 @@
 #!/usr/bin/env python
-# ### PYTHON pro to determine the flux from the current 
-# ### on a Si diode 
-# ### A Pauluhn, Dec 2012 
-# ### from IDL pro flux_diode.pro (2010) 
+# ### PYTHON pro to determine the flux from the current
+# ### on a Si diode
+# ### A Pauluhn, Dec 2012
+# ### from IDL pro flux_diode.pro (2010)


 ## NOTE: for TRANSFER DIODE:
-## switch off ANY ambient light 
-## note that: 10 um Si, and 0 um Al  for transfer diode Hamamatsu 
+## switch off ANY ambient light
+## note that: 10 um Si, and 0 um Al  for transfer diode Hamamatsu

-# ### import the standard 
-import os, sys, string, time 
+# ### import the standard
+import os, sys, string, time
 import re
 import numpy as np
 import math


-
-
 def fluxcalc(curr, en, t_air, t_si, t_al):

-    #------ parameters:
-    rsi = 2.33      # g/cm^3 density of Si
-    ral = 2.699     # g/cm^3 density of Al 
-    rair = 1.205e-3  # g/cm^3 density of air 
+    # ------ parameters:
+    rsi = 2.33  # g/cm^3 density of Si
+    ral = 2.699  # g/cm^3 density of Al
+    rair = 1.205e-3  # g/cm^3 density of air

-    eps_si = 3.62 # eV , energy req for charge separation in Si (el/hole pair) 
-    e = 1.602e-19 # As , elem charge 
+    eps_si = 3.62  # eV , energy req for charge separation in Si (el/hole pair)
+    e = 1.602e-19  # As , elem charge

    t_si = 0.0012  # thickness of diode in cm (==12 micrometres) ; [*10000]
-    t_al = 0.002   # thickness of diode in cm (==20 micrometres) 
+    t_al = 0.002  # thickness of diode in cm (==20 micrometres)

-    #--------- calc----------------------------------------------------
-    #energy deposit in Silicon
-    #ratio of photoelectric cross section to density for Silicon
-    #alog10(A_Si)= 4.158 - 2.238*alog10(Ep) - 0.477*alog10(Ep)^2 + 0.0789*alog10(Ep)^3 
+    # --------- calc----------------------------------------------------
+    # energy deposit in Silicon
+    # ratio of photoelectric cross section to density for Silicon
+    # alog10(A_Si)= 4.158 - 2.238*alog10(Ep) - 0.477*alog10(Ep)^2 + 0.0789*alog10(Ep)^3

-    ps = np.poly1d([0.0789, - 0.477, - 2.238, 4.158])
-    #print ps
-    # ps.c 
-    # print ps(2.3) 
+    ps = np.poly1d([0.0789, -0.477, -2.238, 4.158])
+    # print ps
+    # ps.c
+    # print ps(2.3)

-    leval = math.log10(en) 
-    hlp_si = ps(leval) 
-    a_si = np.pow(10, hlp_si) 
-    #efact = np.exp(-A_Si*rsi*t_Si) 
-    #sifact =1 - efact
-    sifact = - np.expm1(-a_si*rsi*t_si) 
-    #print 'sifact = ', sifact
+    leval = math.log10(en)
+    hlp_si = ps(leval)
+    a_si = np.pow(10, hlp_si)
+    # efact = np.exp(-A_Si*rsi*t_Si)
+    # sifact =1 - efact
+    sifact = -np.expm1(-a_si * rsi * t_si)
+    # print 'sifact = ', sifact

-    fl = 1000.*curr * eps_si/1.602/en/sifact *1.e13 # curr expected in A
-    #print 'fl = ', fl 
+    fl = 1000.0 * curr * eps_si / 1.602 / en / sifact * 1.0e13  # curr expected in A
+    # print 'fl = ', fl
+
+    # Aluminium attenuation
+    # ratio of photoelectric cross section to density for Aluminium
+    pa = np.poly1d([0.0638, -0.413, -2.349, 4.106])

-    #Aluminium attenuation
-    #ratio of photoelectric cross section to density for Aluminium
-    pa = np.poly1d([ 0.0638, - 0.413, - 2.349, 4.106])
-    
    hlp_al = pa(leval)
-    a_al = pow(10, hlp_al) 
+    a_al = pow(10, hlp_al)

    # attenuation due to aluminium
-    alfact = np.exp(-a_al*ral*t_al)
-    #print 'alfact = ', alfact
+    alfact = np.exp(-a_al * ral * t_al)
+    # print 'alfact = ', alfact
    # Air attenuation
    # ratio of photoelectric cross section to density for air

-    pair = np.poly1d([0.928, - 2.348, - 1.026, 3.153])
+    pair = np.poly1d([0.928, -2.348, -1.026, 3.153])
    hlp_air = pair(leval)
-    a_air = np.pow(10, hlp_air) 
+    a_air = np.pow(10, hlp_air)

-    #print('hlp_air, a_air, rair, t_air = ', hlp_air, a_air, rair , t_air)
+    # print('hlp_air, a_air, rair, t_air = ', hlp_air, a_air, rair , t_air)

-    # attenuation due to air 
-    airfact = np.exp(-a_air*rair*t_air/10.)
-    #airfact = 1.
+    # attenuation due to air
+    airfact = np.exp(-a_air * rair * t_air / 10.0)
+    # airfact = 1.

-    
-    #print 'airfact = ', airfact
-    #print ' t_air = ', t_air 
+    # print 'airfact = ', airfact
+    # print ' t_air = ', t_air

-    # total flux from photocurrent 
-    fl = fl/alfact/airfact
-    #print 'fl = ', fl 
+    # total flux from photocurrent
+    fl = fl / alfact / airfact
+    # print 'fl = ', fl
+
+    return fl

-    return fl 

 #
 # Main
 #

-def flux_x10sa(curr, en, silent = 0):
+
+def flux_x10sa(curr, en, silent=0):
    # curr = input('Please enter the current [in A] ')
    curr = float(curr)
    if not silent:
-        print('Current =  ', curr)
+        print("Current =  ", curr)
    # en = input('Please enter the energy [in keV] ')
    en = float(en)
    if not silent:
-        print('Energy =  ', en)
+        print("Energy =  ", en)
    ## d_det = input('Please enter the detector distance [in mm] ')
    d_det = dev.det_z.user_readback.get()
-    d_off = 15 ## at X10SA   ### input('Please enter the OFFSET of the diode to det surface [in mm] ') 
-    
-    t_air = float(d_det) +  float(d_off)
+    d_off = (
+        15  ## at X10SA   ### input('Please enter the OFFSET of the diode to det surface [in mm] ')
+    )

-    t_si = 12 # um ## at X10SA    
+    t_air = float(d_det) + float(d_off)
+
+    t_si = 12  # um ## at X10SA
    #  t_si = input('Please enter the Si thickness of diode [in um] ') #  if not silent:
-    t_si = float(t_si) / 10000. # to cm 
+    t_si = float(t_si) / 10000.0  # to cm

-    t_al = 20 # um ## at X10SA
-    #  t_al = input('Please enter the Al thickness of diode [in um] ') 
-    t_al = float(t_al) / 10000. # to cm
+    t_al = 20  # um ## at X10SA
+    #  t_al = input('Please enter the Al thickness of diode [in um] ')
+    t_al = float(t_al) / 10000.0  # to cm

    if not silent:
-        print('Air path length (CARE ! add det distance and offset of diode) =  ', t_air) # include additional diode distance
+        print(
+            "Air path length (CARE ! add det distance and offset of diode) =  ", t_air
+        )  # include additional diode distance

-
-    fl = fluxcalc(curr, en, t_air,t_si, t_al)
+    fl = fluxcalc(curr, en, t_air, t_si, t_al)
    if not silent:
-        print( " Diode Current = %.6f  A " % curr)
-        print( " Energy = %.4f  keV "  % en )
+        print(" Diode Current = %.6f  A " % curr)
+        print(" Energy = %.4f  keV " % en)

-        #print( " Thickness of active Si layer = %.4f\t  cm " % t_si) #*10000. 
-        #print( " Thickness of Al layer in front of diode = %.4f\t  cm "  % t_al) #*10000. 
-        print( " Length of path of air in front of diode = %.4f\t  mm " % t_air) #*10000.
+        # print( " Thickness of active Si layer = %.4f\t  cm " % t_si) #*10000.
+        # print( " Thickness of Al layer in front of diode = %.4f\t  cm "  % t_al) #*10000.
+        print(" Length of path of air in front of diode = %.4f\t  mm " % t_air)  # *10000.

-        print (" Flux = %6.2e\t ph/s "  % fl)
+        print(" Flux = %6.2e\t ph/s " % fl)

    return fl
-
@@ -10,7 +10,7 @@ def knife_plothist(hindex: int, signal_name: str, isave=1):
    Example:
    data_x, data_y = knife_plothist(-1,"xidode")

-    scanned with 
+    scanned with
    scans.line_scan(dev.aerotech.y,-0.05,0.05, steps=101, settling_time=0.5, relative=True)
    """

@@ -20,13 +20,13 @@ def knife_plothist(hindex: int, signal_name: str, isave=1):

    if hindex < 0:
        h = bec.history[hindex]
-        print('by scan number')
+        print("by scan number")
    else:
        h = bec.history.get_by_scan_number(hindex)
-        print('by scan number')
+        print("by scan number")

    md = h.metadata["bec"]
-    sno = md['dataset_number']
+    sno = md["dataset_number"]
    print(f"number of scan = {sno}")
    scanvar = list(md["args"].keys())[0]  # string, returns the variable of the last performed scan
    # data = h.devices[device_name][signal].read()["value"]
@@ -34,37 +34,36 @@ def knife_plothist(hindex: int, signal_name: str, isave=1):
    # data_y = h.devices.lu_bpmsum.lu_bpmsum.read()["value"]
    # data_x = h.devices[device_name][device_name].read()["value"]

-    # that works ... 
-    #print(list(md['args'].keys()))
-    val = list(md['args'].keys())
-    #val[0] = 'aerotech.x'
-    devicenam =  val[0]
-    print('device = ', devicenam)
+    # that works ...
+    # print(list(md['args'].keys()))
+    val = list(md["args"].keys())
+    # val[0] = 'aerotech.x'
+    devicenam = val[0]
+    print("device = ", devicenam)
    data_xd = md["positions"]  # last scan knows which device ... however, double array
    data_x = data_xd.flatten()
    print("dx = ", data_x)
-    #data_y = h.devices[signal_name][signal_name].read()["value"]
-    data_y = h.devices["xidiode"]["xidiode"].read()["value"]    
+    # data_y = h.devices[signal_name][signal_name].read()["value"]
+    data_y = h.devices["xidiode"]["xidiode"].read()["value"]
    print("dy = ", data_y)

-    rev = 0 
-    if val[0][9] == 'x':
+    rev = 0
+    if val[0][9] == "x":
        rev = 1
-    smoothplotgrad(data_x, data_y, reverse = rev)
-   # g, xm = justfit(data_x, data_y, model=model, ibg=ibg)
+    smoothplotgrad(data_x, data_y, reverse=rev)
+    # g, xm = justfit(data_x, data_y, model=model, ibg=ibg)

-#    plt.ion()
-#    plt.figure()
-#    plt.plot(data_x, data_y, "*")
-#    plt.plot(data_x, g.best_fit)
-#    plt.xlabel(scanvar)
-#    plt.ylabel(signal_name)
-#    plt.show()
+    #    plt.ion()
+    #    plt.figure()
+    #    plt.plot(data_x, data_y, "*")
+    #    plt.plot(data_x, g.best_fit)
+    #    plt.xlabel(scanvar)
+    #    plt.ylabel(signal_name)
+    #    plt.show()

-#    gcen = g.pars["center"].value
+    #    gcen = g.pars["center"].value

-
-    if isave: 
+    if isave:
        ans = "n"
        ans = input("Store data in csv file? y/n ")
        if ans == "y":
@@ -75,5 +74,4 @@ def knife_plothist(hindex: int, signal_name: str, isave=1):
            with open(filename, "w") as f:
                np.savetxt(f, combined, delimiter=",", fmt="%.9e")

-
    return data_x, data_y
@@ -1,6 +0,0 @@
-Energy,bcu_bpmsum
-11125.712083383152,25032.909677419353
-11125.50607729644,25067.271582181264
-11125.300078962937,25072.67158218126
-11125.094088382204,25096.84485407066
-11124.888105553806,25110.599078341016
@@ -1,301 +0,0 @@
-Energy,bcu_bpmsum
-11125.712083383152,24961.620890937025
-11125.50607729644,24981.217204301076
-11125.300078962937,25013.287557603682
-11125.094088382204,24953.832258064514
-11124.888105553806,24968.10261136713
-11124.682130477306,24990.521351766514
-11124.476163152269,25005.63993855607
-11124.270203578264,25063.171121351766
-11124.064251754857,25083.887864823348
-11123.858307681605,25034.484178187406
-11123.652371358077,25157.456528417817
-11123.44644278384,25144.93886328725
-11123.240521958456,25170.029185867897
-11123.034608881491,25149.173271889398
-11122.828703552512,25147.52995391705
-11122.622805971081,25149.71213517665
-11122.416916136766,25137.73179723502
-11122.211034049127,25144.390783410137
-11122.005159707736,25135.905683563746
-11121.799293112155,25120.55483870968
-11121.593434261951,25120.90721966206
-11121.387583156686,25113.126267281106
-11121.181739795926,25118.79569892473
-11120.97590417924,25090.185560675884
-11120.770076306191,25087.841167434715
-11120.564256176345,25096.89216589862
-11120.358443789264,25089.46850998464
-11120.152639144519,25089.52841781874
-11119.94684224167,25083.528725038406
-11119.74105308029,25073.67465437788
-11119.535271659937,25073.420583717358
-11119.329497980181,25054.83686635945
-11119.123732040585,25056.012596006145
-11118.917973840717,25045.988632872504
-11118.71222338014,25045.18986175115
-11118.506480658425,25016.631643625187
-11118.300745675135,25002.86850998464
-11118.095018429833,24996.630721966205
-11117.889298922086,24984.850998463902
-11117.683587151465,24961.41075268817
-11117.477883117528,24945.807680491554
-11117.272186819848,24942.026113671272
-11117.066498257986,24904.69155145929
-11116.86081743151,24881.899539170507
-11116.655144339988,24854.092165898615
-11116.44947898298,24841.642703533023
-11116.243821360062,24813.291858678953
-11116.038171470791,24788.921044546852
-11115.832529314735,24756.357296466977
-11115.626894891466,24730.055913978496
-11115.421268200545,24695.38371735791
-11115.215649241538,24672.803993855607
-11115.010038014014,24645.320122887864
-11114.804434517539,24609.837173579108
-11114.598838751675,24570.704454685103
-11114.393250715995,24540.299539170508
-11114.187670410061,24512.862365591398
-11113.98209783344,24481.463594470042
-11113.776532985701,24439.637788018434
-11113.570975866407,24422.38801843318
-11113.365426475126,24386.79385560676
-11113.159884811428,24343.7490015361
-11112.954350874874,24314.71766513057
-11112.748824665035,24270.78033794163
-11112.543306181473,24226.929032258064
-11112.337795423762,24210.717972350227
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@@ -1,101 +0,0 @@
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@@ -1,51 +0,0 @@
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@@ -6,6 +6,7 @@ import time
 from pxii_bec.scripts import beamline_context as bl
 from pxii_bec.macros.beamline_planner import BeamlineState

+
 def state_test(number_tries=20):
    tested_states = []
    states_to_test = [