Closedown

This commit is contained in:
gac-x03da
2023-05-17 17:52:02 +02:00
parent 2f6baab792
commit f455daa88f
11 changed files with 24 additions and 1605 deletions
+2 -2
View File
@@ -1,4 +1,4 @@
#Tue Apr 25 18:59:26 CEST 2023
#Wed May 10 17:54:48 CEST 2023
autoSaveScanData=true
simulation=false
commandExecutionEvents=false
@@ -27,7 +27,7 @@ dataServerPort=-1
hideServerMessages=false
serverPort=8080
versionTrackingEnabled=true
dataPath={data}/{year}/{month}/weichuang_lebin/weichuang-{date}-{time}-{name}
dataPath={data}/{year}/{month}/hadjadj/pshell-{date}-{time}-{name}
serverEnabled=false
dataScanReleaseRecords=true
depthDimension=2
+7 -7
View File
@@ -1,7 +1,7 @@
#Wed Apr 26 18:00:51 CEST 2023
pgroup=p20789
proposal=20221940
proposer=weichuang_lebin
prefix=weichuang
sample=uzh6
authors=weichuang/lebin
#Wed May 10 17:54:48 CEST 2023
pgroup=p20771
proposal=20221849
proposer=hadjadj
prefix=
sample=
authors=
+4 -4
View File
@@ -1,4 +1,4 @@
#Tue May 02 07:28:36 CEST 2023
LastRunDate=230502
FileSequentialNumber=16885
DaySequentialNumber=7
#Sun May 14 16:15:22 CEST 2023
LastRunDate=230514
FileSequentialNumber=17096
DaySequentialNumber=6
+2
View File
@@ -109,6 +109,8 @@ try:
time.sleep(5.0)
if len(vars)>4:
region_name = vars[4]
if len(vars)>5:
Scienta.setPassEnergy(int (vars[5]))
Scienta.lowEnergy.write(adjusted_ranges[cur_range][0])
Scienta.highEnergy.write(adjusted_ranges[cur_range][1])
-64
View File
@@ -1,64 +0,0 @@
import ch.psi.pshell.plot.RangeSelectionPlot.RangeSelection as RangeSelection
# caution: do not insert multiple runs in the same script!
# earlier runs are overwritten!
ranges = []
# overview spec:
#rs = RangeSelection(100.0,800.0)
#rs.setVars([0.3, 0.2, 1.0, 800.0]) #Time, Size, Iteration, photon energy
#ranges.append(rs)
# Au 4f
rs = RangeSelection(105.0,114.0) # before 105 to 115 ---- -1eV
rs.setVars([0.4, 0.05, 3, 200., "Au 4f"]) #Time, Size, Iteration, photon energy
ranges.append(rs)
# C 1s
rs = RangeSelection(107.0,113.0) # before 105 to 115 ---- -4eV
rs.setVars([0.4, 0.05, 3, 400., "C 1s"]) #Time, Size, Iteration, photon energy
ranges.append(rs)
# Au 4d5/2
rs = RangeSelection(100.0,114.0) # before 100 to 110 ---- +4eV, center was 445eV
rs.setVars([0.4, 0.05, 3, 447., "Au 4d5/2"]) #Time, Size, Iteration, photon energy
ranges.append(rs)
# N 1s
rs = RangeSelection(110.0,115.0) # before 105 to 115 ---- -5eV
rs.setVars([0.4, 0.05, 3, 515., "N 1s"]) #Time, Size, Iteration, photon energy
ranges.append(rs)
# overview
rs = RangeSelection(100.0,800.0)
rs.setVars([0.3, 0.2, 1, 800., "overview"]) #Time, Size, Iteration, photon energy
ranges.append(rs)
# Zn 2p
rs = RangeSelection(107.0,112.0) # before 105 to 115 --- -5eV
rs.setVars([0.4, 0.05, 3, 1135., "Zn 2p"]) #Time, Size, Iteration, photon energy
ranges.append(rs)
# Zn 3d
#rs = RangeSelection(205.0,215.0)
#rs.setVars([0.4, 0.05, 3, 225.]) #Time, Size, Iteration, photon energy
#ranges.append(rs)
# Au 4d3/2
#rs = RangeSelection(100.0,115.0)
#rs.setVars([0.4, 0.05, 3, 465., "Au 4d3/2"]) #Time, Size, Iteration, photon energy
#ranges.append(rs)
run("XPSSpectrum", {"save_scienta_image":True,
"ranges":ranges,
"ENDSCAN":True,
"pass_energy":50})
@@ -61,35 +61,35 @@ REGION_A3 = {'name': 'As3d', 'elo': 21., 'ehi':27., 'estep':0.02, 'epass': 20.,
REGION_B1 = {'name': 'MoEF', 'ephot': 150., 'elo': 143., 'ehi':148., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_B2 = {'name': 'In4d', 'elo': 124., 'ehi':131., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B3 = {'name': 'As3d', 'elo': 101., 'ehi':107., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B4 = {'name': 'Survey', 'elo': 40., 'ehi':150., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B4 = {'name': 'Survey', 'elo': 40., 'ehi':150., 'estep':0.10, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B5 = {'name': 'Al2p', 'elo': 68., 'ehi':75., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region E @ 250 eV (G1 600)
REGION_C1 = {'name': 'MoEF', 'ephot': 250., 'elo': 243., 'ehi':248., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_C2 = {'name': 'In4d', 'elo': 224., 'ehi':231., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C3 = {'name': 'As3d', 'elo': 201., 'ehi':207., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C4 = {'name': 'Survey', 'elo': 140., 'ehi':250., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C4 = {'name': 'Survey', 'elo': 140., 'ehi':250., 'estep':0.10, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C5 = {'name': 'Al2p', 'elo': 168., 'ehi':175., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region C @ 350 eV (G1 600)
REGION_D1 = {'name': 'MoEF', 'ephot': 350., 'elo': 343., 'ehi':348., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_D2 = {'name': 'In4d', 'elo': 324., 'ehi':331., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D3 = {'name': 'As3d', 'elo': 301., 'ehi':307., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D4 = {'name': 'Survey', 'elo': 240., 'ehi':350., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D4 = {'name': 'Survey', 'elo': 240., 'ehi':350., 'estep':0.10, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D5 = {'name': 'Al2p', 'elo': 268., 'ehi':275., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region C @ 450 eV (G1 600)
REGION_E1 = {'name': 'MoEF', 'ephot': 450., 'elo': 443., 'ehi':448., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_E2 = {'name': 'In4d', 'elo': 424., 'ehi':431., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_E3 = {'name': 'As3d', 'elo': 401., 'ehi':407., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_E4 = {'name': 'Survey', 'elo': 340., 'ehi':450., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_E4 = {'name': 'Survey', 'elo': 340., 'ehi':450., 'estep':0.10, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_E5 = {'name': 'Al2p', 'elo': 468., 'ehi':475., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region D @ 550 eV (G1 600)
REGION_F1 = {'name': 'MoEF', 'ephot': 550., 'elo': 543., 'ehi':548., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_F2 = {'name': 'In4d', 'elo': 524., 'ehi':531., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_F3 = {'name': 'As3d', 'elo': 501., 'ehi':507., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_F4 = {'name': 'Survey', 'elo': 440., 'ehi':550., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_F4 = {'name': 'Survey', 'elo': 440., 'ehi':550., 'estep':0.10, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_F5 = {'name': 'Al2p', 'elo': 468., 'ehi':475., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# CHOOSE THE REGIONS TO RUN
@@ -56,7 +56,7 @@ SAMPLE_POSITION = {'X': 2.30,'Y': 3.00, 'Z': 114.00, 'Theta': -9., 'Tilt': -2.0,
REGION_A1 = {'name': 'MoEF', 'ephot': 650., 'elo': 643., 'ehi':648., 'estep':0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_A2 = {'name': 'In4d', 'elo': 623., 'ehi':631., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A3 = {'name': 'As3d', 'elo': 600., 'ehi':607., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A4 = {'name': 'Survey', 'elo': 540., 'ehi':650., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A4 = {'name': 'Survey', 'elo': 540., 'ehi':650., 'estep':0.10, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A5 = {'name': 'Al2p', 'elo': 566., 'ehi':575., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A6 = {'name': 'In3d', 'elo': 190., 'ehi':205., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
@@ -64,7 +64,7 @@ REGION_A6 = {'name': 'In3d', 'elo': 190., 'ehi':205., 'estep':0.02, 'epass': 20.
REGION_B1 = {'name': 'MoEF', 'ephot': 750., 'elo': 743., 'ehi':748., 'estep':0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_B2 = {'name': 'In4d', 'elo': 723., 'ehi':731., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B3 = {'name': 'As3d', 'elo': 700., 'ehi':707., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B4 = {'name': 'Survey', 'elo': 640., 'ehi':750., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B4 = {'name': 'Survey', 'elo': 640., 'ehi':750., 'estep':0.10, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B5 = {'name': 'Al2p', 'elo': 666., 'ehi':675., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B6 = {'name': 'In3d', 'elo': 290., 'ehi':305., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
@@ -72,7 +72,7 @@ REGION_B6 = {'name': 'In3d', 'elo': 290., 'ehi':305., 'estep':0.02, 'epass': 20.
REGION_C1 = {'name': 'MoEF', 'ephot': 850., 'elo': 843., 'ehi':848., 'estep':0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_C2 = {'name': 'In4d', 'elo': 823., 'ehi':831., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C3 = {'name': 'As3d', 'elo': 800., 'ehi':807., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C4 = {'name': 'Survey', 'elo': 740., 'ehi':850., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C4 = {'name': 'Survey', 'elo': 740., 'ehi':850., 'estep':0.10, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C5 = {'name': 'Al2p', 'elo': 766., 'ehi':775., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C6 = {'name': 'In3d', 'elo': 390., 'ehi':405., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
@@ -80,7 +80,7 @@ REGION_C6 = {'name': 'In3d', 'elo': 390., 'ehi':405., 'estep':0.02, 'epass': 20.
REGION_D1 = {'name': 'MoEF', 'ephot': 1050., 'elo': 1043., 'ehi':1048., 'estep':0.02, 'epass': 20., 'tstep': 4.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_D2 = {'name': 'In4d', 'elo': 1024., 'ehi':1032., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D3 = {'name': 'As3d', 'elo': 1001., 'ehi':1008., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D4 = {'name': 'Survey', 'elo': 940., 'ehi':1050., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D4 = {'name': 'Survey', 'elo': 940., 'ehi':1050., 'estep':0.10, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D5 = {'name': 'Al2p', 'elo': 966., 'ehi':975., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D6 = {'name': 'In3d', 'elo': 590., 'ehi':605., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
@@ -1,372 +0,0 @@
"""
repeated xps scans with reference sample
usage
=====
1. set the NUMBER_OF_ITERATIONS
2. set the REFERENCE_POSITION and SAMPLE_POSITION
3. set the REGION parameters
troubleshooting
===============
if the script runs through very quickly without measuring anything:
check that all position values include a decimal point!!!
"""
# dummy scan (time series)
MOTORS = [dummy]
# number of cycles (integer - not decimal point!)
# (actual number of cycles is + 1)
NUMBER_OF_CYCLES = 10
POSITIONS = [1., 10., NUMBER_OF_CYCLES]
SCAN = 'lscan'
# seconds to wait between positioning command and triggering the detector
LATENCY = 0.0
# region setup
#
# for each region, define a python dictionary with the following items.
# optional items can be left unspecified and will default to the indicated values.
# for swept mode, include 'elo', 'ehi', 'estep', 'iter' values, but do not include 'efix'.
# for fixed mode, include 'efix' value, but do not include 'elo', 'ehi', 'estep', 'iter'.
#
# 'name': user-specific name of the region (for graph title and RegionName attribute in data file)
# 'elo': lower kinetic energy boundary of the spectrum
# 'ehi': upper kinetic energy boundary of the spectrum
# 'estep': energy step size
# 'efix': center kinetic energy in fixed mode
# 'epass': pass energy
# 'ephot': photon energy (default: unchanged)
# 'tstep': dwell time in seconds
# 'iter': number of iterations/sweeps (default 1)
# 'cis': True = constant initial state (photoemission line), False = constant final state (Auger peak), (default False)
# 'slit': exit slit (default: unchanged)
# 'position': 'reference' or 'sample'
REFERENCE_POSITION = {'X': 3.40,'Y': 8.17, 'Z': 113.50, 'Theta': -9., 'Tilt': -2.0, 'Phi': -90.}
SAMPLE_POSITION = {'X': 3.45,'Y': 3.00, 'Z': 113.50, 'Theta': -9., 'Tilt': -2.0, 'Phi': -90.}
# DEFINE THE REGIONS
# -- Region A @ 578 eV
REGION_A1 = {'name': 'MoEF', 'ephot': 578., 'elo': 572., 'ehi':575., 'estep': 0.02, 'epass': 20., 'tstep': 3.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_A2 = {'name': 'In4d', 'elo': 551., 'ehi':559., 'estep':0.02, 'epass': 20., 'tstep': 0.5, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A3 = {'name': 'As3d', 'elo': 529., 'ehi':535., 'estep':0.02, 'epass': 20., 'tstep': 0.5, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A4 = {'name': 'In3d', 'elo': 118., 'ehi':133., 'estep':0.02, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region B @ 1050 eV
REGION_B1 = {'name': 'MoEF', 'ephot': 1050., 'elo': 1045., 'ehi':1047, 'estep':0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_B2 = {'name': 'In4d', 'elo': 1025., 'ehi':1031., 'estep':0.02, 'epass': 20., 'tstep': 0.5, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B3 = {'name': 'As3d', 'elo': 1002., 'ehi':1007., 'estep':0.02, 'epass': 20., 'tstep': 0.5, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B4 = {'name': 'In3d', 'elo': 590., 'ehi':605., 'estep':0.02, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region C @ 70 eV
REGION_C1 = {'name': 'MoEF', 'ephot': 70., 'elo': 64., 'ehi':67., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_C2 = {'name': 'In4d', 'elo': 44., 'ehi':51., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C3 = {'name': 'As3d', 'elo': 21., 'ehi':27., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# CHOOSE THE REGIONS TO RUN
# -- @578eV High-Stat XPS of relevant core-levels (run 10 cyles)
# REGIONS = [REGION_A1,REGION_A2,REGION_A3,REGION_A4]
# -- @1050eV High-Stat XPS of relevant core-levels (run 10 cyles)
REGIONS = [REGION_B1,REGION_B2,REGION_B3,REGION_B4]
# -- @70eV High-Stat XPS of relevant core-levels (run 10 cyles)
# REGIONS = [REGION_C1,REGION_C2,REGION_C3]
# close beam shutter and turn off analyser at the end of the scan
# True or False
CLOSE_SHUTTER_AT_END = False
# --- DO NOT EDIT BELOW THIS LINE! ---
set_exec_pars(keep=False)
set_exec_pars(compression=True)
def check_region(region):
"""
check region dictionary items and apply defaults where necessary
"""
region['fixed'] = 'efix' in region
if region['fixed']:
region['elo'] = region['efix']
region['ehi'] = region['efix']
if 'iter' not in region:
region['iter'] = 1
print("region {0}: setting default iter = {1}".format(region['name'], region['iter']))
if 'cis' not in region:
region['cis'] = False
print("region {0}: setting default cis = {1}".format(region['name'], region['cis']))
def move_to_position(pdict):
ManipulatorX.move(pdict['X'])
ManipulatorY.move(pdict['Y'])
ManipulatorZ.move(pdict['Z'])
ManipulatorTheta.move(pdict['Theta'])
ManipulatorTilt.move(pdict['Tilt'])
ManipulatorPhi.move(pdict['Phi'])
class SpectrumReader(ReadonlyRegisterBase, ReadonlyRegisterArray):
"""
pseudo-device class to acquire and read out a Scienta spectrum per region.
this devices starts the spectrum acquisition and organises the data file.
"""
def initialize(self):
#super(SpectrumReader, self).initialize()
self.scan_index = -1
def create_datasets(self):
path = get_exec_pars().scanPath + self.region_name + "/"
self.channel_begin_dataset_name = path + "ScientaChannelBegin"
self.channel_end_dataset_name = path + "ScientaChannelEnd"
create_dataset(self.channel_begin_dataset_name, 'd')
create_dataset(self.channel_end_dataset_name, 'd')
if self.region['fixed']:
self.channel_center_dataset_name = path + "ScientaChannelCenter"
create_dataset(self.channel_center_dataset_name, 'd')
else:
self.step_energy_dataset_name = path + "ScientaStepEnergy"
create_dataset(self.step_energy_dataset_name, 'd')
if 'epass' in self.region:
self.pass_energy_dataset_name = path + "ScientaPassEnergy"
create_dataset(self.pass_energy_dataset_name, 'd')
if 'tstep' in self.region:
self.step_time_dataset_name = path + "ScientaStepTime"
create_dataset(self.step_time_dataset_name, 'd')
if 'iter' in self.region:
self.iterations_dataset_name = path + "ScientaIterations"
create_dataset(self.iterations_dataset_name, 'd')
if 'slit' in self.region:
self.slit_dataset_name = path + "ExitSlit"
create_dataset(self.slit_dataset_name, 'd')
if 'position' in self.region:
position_names = {key:path + "Position"+ key for key in ['X','Y','Z','Theta','Tilt','Phi']}
self.position_dataset_names = position_names
for datanames in self.position_dataset_names.values():
create_dataset(datanames, 'd')
def setup(self):
# print("spectrum.setup")
if self.scan_index != get_exec_pars().index:
self.scan_index = get_exec_pars().index
self.create_datasets()
print "scan {0}, region {1} ({2})".format(self.scan_index, self.region_index, self.region['name'])
edelta = 0.0
try:
ephot = self.region['ephot']
Eph.move(ephot)
except KeyError:
ephot = Eph.take(100)
if isinstance(ephot, float) and ephot > 0.:
try:
if self.region['cis']:
edelta = ephot - self.ephot_start
except AttributeError:
self.ephot_start = ephot
elo = self.region['elo'] + edelta
ehi = self.region['ehi'] + edelta
if self.region['fixed']:
Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Fixed)
Scienta.centerEnergy.write(elo)
append_dataset(self.channel_center_dataset_name, elo)
else:
Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Swept)
Scienta.lowEnergy.write(elo)
Scienta.highEnergy.write(ehi)
Scienta.stepSize.write(self.region['estep'])
append_dataset(self.step_energy_dataset_name, self.region['estep'])
try:
Scienta.setPassEnergy(int(self.region['epass']))
append_dataset(self.pass_energy_dataset_name, self.region['epass'])
except KeyError:
pass
try:
Scienta.stepTime.write(self.region['tstep'])
append_dataset(self.step_time_dataset_name, self.region['tstep'])
except KeyError:
pass
try:
Scienta.setIterations(self.region['iter'])
append_dataset(self.iterations_dataset_name, self.region['iter'])
except KeyError:
pass
try:
ExitSlit.write(self.region['slit'])
append_dataset(self.slit_dataset_name, self.region['slit'])
except KeyError:
pass
if self.region['position'] == 'sample':
move_to_position(SAMPLE_POSITION)
for name in SAMPLE_POSITION.keys():
append_dataset(self.position_dataset_names[name], SAMPLE_POSITION[name])
elif self.region['position'] == 'reference':
move_to_position(REFERENCE_POSITION)
for name in REFERENCE_POSITION.keys():
append_dataset(self.position_dataset_names[name], SAMPLE_POSITION[name])
Scienta.update()
def read(self):
# print("spectrum.read")
global current_region_index
current_region_index = self.region_index
self.setup()
# print("Acquiring region {0}.".format(self.region['name']))
trig_scienta()
time.sleep(0.1)
sp = Scienta.getSpectrum().read()
append_dataset(self.channel_begin_dataset_name, Scienta.getChannelBegin().getValue())
append_dataset(self.channel_end_dataset_name, Scienta.getChannelEnd().getValue())
return sp
def getSize(self):
# this is called before the scan starts - we have to predict the spectrum size
# wrong values don't seem to affect the data files, however
if self.region['fixed']:
nx = 1066
else:
nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
return nx
class ImageReader(ReadonlyRegisterBase, ReadonlyRegisterMatrix):
"""
pseudo-device class to read out the Scienta image per region.
this device just reads out the Scienta image that has been acquired by SpectrumReader.
"""
def read(self):
# print("image.read")
return Scienta.getDataMatrix().read()
def getWidth(self):
# this is called before the scan starts - we have to predict the spectrum size
# wrong values don't seem to affect the data files, however
if self.region['fixed']:
nx = 1066
else:
nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
return nx
def getHeight(self):
# this is called before the scan starts - the number of slices is an independent parameter
ny = Scienta.slices.read()
return ny
class SimpleDeviceReader(Readable):
"""
pseudo-device class to read out another device once per region.
the device must be set assigned to the source attribute.
"""
def read(self):
return self.source.read()
def setup_live_plots(regions):
global live_plots
global current_region_index
names = [region['name'] for region in regions]
live_plots = plot(None, names, title="Live Spectra")
current_region_index = 0
def update_live_plots():
global live_plots
global current_region_index
try:
while get_context().state.running:
y = Scienta.spectrum.take(100)
x = Scienta.spectrumX
try:
series = live_plots[current_region_index].getSeries(0)
series.setData(x, y)
except IndexError:
pass
time.sleep(1.0)
finally:
print "Stopping live spectra"
def do_scan(scan, motors, positions, regions, latency):
"""
set up detectors and run the scan
for each region we have to add a SpectrumReader and an ImageReader pseudo-device to the SENSORS list.
the order SpectrumReader, ImageReader is important because the SpectrumReader triggers the Scienta,
whereafter the ImageReader reads the image.
"""
global SENSORS
SENSORS = []
for (index, region) in enumerate(regions):
check_region(region)
reader = SpectrumReader()
reader.region_index = index
reader.region_name = "region{0}".format(index + 1)
reader.region = region
reader.initialize()
set_device_alias(reader, reader.region_name + "/ScientaSpectrum")
SENSORS.append(reader)
image = ImageReader()
image.region_index = index
image.region = region
image.initialize()
set_device_alias(image, reader.region_name + "/ScientaImage")
SENSORS.append(image)
dev = SimpleDeviceReader()
dev.source = SampleCurrent
set_device_alias(dev, reader.region_name + "/SampleCurrent")
SENSORS.append(dev)
dev = SimpleDeviceReader()
dev.source = RefCurrent
set_device_alias(dev, reader.region_name + "/RefCurrent")
SENSORS.append(dev)
adjust_sensors()
set_adc_averaging()
if scan == 'ascan':
ascan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, zigzag = True, before_read=wait_beam, after_read = after_readout)
elif scan == 'lscan':
lscan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, before_read=wait_beam, after_read = after_readout)
elif scan == 'vscan':
vscan(motors, SENSORS, positions, True, latency,False, before_read=wait_beam, after_read = after_readout)
else:
print('unknown scan mode {}'.format(scan))
for (index, region) in enumerate(regions):
set_attribute(get_exec_pars().scanPath + "region{0}/ScientaSpectrum".format(index + 1), "RegionName", region['name'])
set_attribute(get_exec_pars().scanPath + "region{0}/ScientaImage".format(index + 1), "RegionName", region['name'])
set_attribute(get_exec_pars().scanPath, "Regions", [region['name'] for region in regions])
try:
setup_live_plots(REGIONS)
task = fork(update_live_plots)
do_scan(SCAN, MOTORS, POSITIONS, REGIONS, LATENCY)
finally:
if CLOSE_SHUTTER_AT_END:
after_scan()
@@ -1,374 +0,0 @@
"""
repeated xps scans with reference sample
usage
=====
1. set the NUMBER_OF_ITERATIONS
2. set the REFERENCE_POSITION and SAMPLE_POSITION
3. set the REGION parameters
troubleshooting
===============
if the script runs through very quickly without measuring anything:
check that all position values include a decimal point!!!
"""
# dummy scan (time series)
MOTORS = [dummy]
# number of cycles (integer - not decimal point!)
# (actual number of cycles is + 1)
NUMBER_OF_CYCLES = 0
POSITIONS = [1., 10., NUMBER_OF_CYCLES]
SCAN = 'lscan'
# seconds to wait between positioning command and triggering the detector
LATENCY = 0.0
# region setup
#
# for each region, define a python dictionary with the following items.
# optional items can be left unspecified and will default to the indicated values.
# for swept mode, include 'elo', 'ehi', 'estep', 'iter' values, but do not include 'efix'.
# for fixed mode, include 'efix' value, but do not include 'elo', 'ehi', 'estep', 'iter'.
#
# 'name': user-specific name of the region (for graph title and RegionName attribute in data file)
# 'elo': lower kinetic energy boundary of the spectrum
# 'ehi': upper kinetic energy boundary of the spectrum
# 'estep': energy step size
# 'efix': center kinetic energy in fixed mode
# 'epass': pass energy
# 'ephot': photon energy (default: unchanged)
# 'tstep': dwell time in seconds
# 'iter': number of iterations/sweeps (default 1)
# 'cis': True = constant initial state (photoemission line), False = constant final state (Auger peak), (default False)
# 'slit': exit slit (default: unchanged)
# 'position': 'reference' or 'sample'
REFERENCE_POSITION = {'X': 2.30,'Y': 7.60, 'Z': 114.00, 'Theta': -9., 'Tilt': -2.0, 'Phi': -90.}
SAMPLE_POSITION = {'X': 2.30,'Y': 3.00, 'Z': 114.00, 'Theta': -9., 'Tilt': -2.0, 'Phi': -90.}
# DEFINE THE REGIONS
# -- Region A @ 70 eV (G1 600)
REGION_A1 = {'name': 'MoEF', 'ephot': 70., 'elo': 64., 'ehi':67., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_A2 = {'name': 'In4d', 'elo': 44., 'ehi':51., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A3 = {'name': 'As3d', 'elo': 21., 'ehi':27., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A4 = {'name': 'Survey', 'elo': 10., 'ehi':70., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region B @ 578 eV (G2 1200)
REGION_B1 = {'name': 'MoEF', 'ephot': 578., 'elo': 572., 'ehi':575., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_B2 = {'name': 'In4d', 'elo': 551., 'ehi':559., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B3 = {'name': 'As3d', 'elo': 529., 'ehi':535., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B4 = {'name': 'In3d', 'elo': 118., 'ehi':133., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region C @ 1050 eV (G2 1200)
REGION_C1 = {'name': 'MoEF', 'ephot': 1050., 'elo': 1042.5, 'ehi':1045.5, 'estep':0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_C2 = {'name': 'In4d', 'elo': 1025., 'ehi':1032., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C3 = {'name': 'As3d', 'elo': 1002., 'ehi':1008., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C4 = {'name': 'In3d', 'elo': 590., 'ehi':605., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region D @ 1050 eV (G2 1200)
REGION_D1 = {'name': 'MoEF', 'ephot': 1050., 'elo': 1042.5, 'ehi':1045.5, 'estep':0.02, 'epass': 50., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_D2 = {'name': 'Survey', 'elo': 300., 'ehi':1050., 'estep':0.20, 'epass': 50., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# CHOOSE THE REGIONS TO RUN
## (G1 600)
# REGIONS = [REGION_A1,REGION_A2,REGION_A3,REGION_A4]
## (G2 1200)
REGIONS = [REGION_B1,REGION_B2,REGION_B3,REGION_B4,REGION_C1,REGION_C2,REGION_C3,REGION_C4,REGION_D1,REGION_D2]
# close beam shutter and turn off analyser at the end of the scan
# True or False
CLOSE_SHUTTER_AT_END = False
# --- DO NOT EDIT BELOW THIS LINE! ---
set_exec_pars(keep=False)
set_exec_pars(compression=True)
def check_region(region):
"""
check region dictionary items and apply defaults where necessary
"""
region['fixed'] = 'efix' in region
if region['fixed']:
region['elo'] = region['efix']
region['ehi'] = region['efix']
if 'iter' not in region:
region['iter'] = 1
print("region {0}: setting default iter = {1}".format(region['name'], region['iter']))
if 'cis' not in region:
region['cis'] = False
print("region {0}: setting default cis = {1}".format(region['name'], region['cis']))
def move_to_position(pdict):
ManipulatorX.move(pdict['X'])
ManipulatorY.move(pdict['Y'])
ManipulatorZ.move(pdict['Z'])
ManipulatorTheta.move(pdict['Theta'])
ManipulatorTilt.move(pdict['Tilt'])
ManipulatorPhi.move(pdict['Phi'])
class SpectrumReader(ReadonlyRegisterBase, ReadonlyRegisterArray):
"""
pseudo-device class to acquire and read out a Scienta spectrum per region.
this devices starts the spectrum acquisition and organises the data file.
"""
def initialize(self):
#super(SpectrumReader, self).initialize()
self.scan_index = -1
def create_datasets(self):
path = get_exec_pars().scanPath + self.region_name + "/"
self.channel_begin_dataset_name = path + "ScientaChannelBegin"
self.channel_end_dataset_name = path + "ScientaChannelEnd"
create_dataset(self.channel_begin_dataset_name, 'd')
create_dataset(self.channel_end_dataset_name, 'd')
if self.region['fixed']:
self.channel_center_dataset_name = path + "ScientaChannelCenter"
create_dataset(self.channel_center_dataset_name, 'd')
else:
self.step_energy_dataset_name = path + "ScientaStepEnergy"
create_dataset(self.step_energy_dataset_name, 'd')
if 'epass' in self.region:
self.pass_energy_dataset_name = path + "ScientaPassEnergy"
create_dataset(self.pass_energy_dataset_name, 'd')
if 'tstep' in self.region:
self.step_time_dataset_name = path + "ScientaStepTime"
create_dataset(self.step_time_dataset_name, 'd')
if 'iter' in self.region:
self.iterations_dataset_name = path + "ScientaIterations"
create_dataset(self.iterations_dataset_name, 'd')
if 'slit' in self.region:
self.slit_dataset_name = path + "ExitSlit"
create_dataset(self.slit_dataset_name, 'd')
if 'position' in self.region:
position_names = {key:path + "Position"+ key for key in ['X','Y','Z','Theta','Tilt','Phi']}
self.position_dataset_names = position_names
for datanames in self.position_dataset_names.values():
create_dataset(datanames, 'd')
def setup(self):
# print("spectrum.setup")
if self.scan_index != get_exec_pars().index:
self.scan_index = get_exec_pars().index
self.create_datasets()
print "scan {0}, region {1} ({2})".format(self.scan_index, self.region_index, self.region['name'])
edelta = 0.0
try:
ephot = self.region['ephot']
Eph.move(ephot)
except KeyError:
ephot = Eph.take(100)
if isinstance(ephot, float) and ephot > 0.:
try:
if self.region['cis']:
edelta = ephot - self.ephot_start
except AttributeError:
self.ephot_start = ephot
elo = self.region['elo'] + edelta
ehi = self.region['ehi'] + edelta
if self.region['fixed']:
Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Fixed)
Scienta.centerEnergy.write(elo)
append_dataset(self.channel_center_dataset_name, elo)
else:
Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Swept)
Scienta.lowEnergy.write(elo)
Scienta.highEnergy.write(ehi)
Scienta.stepSize.write(self.region['estep'])
append_dataset(self.step_energy_dataset_name, self.region['estep'])
try:
Scienta.setPassEnergy(int(self.region['epass']))
append_dataset(self.pass_energy_dataset_name, self.region['epass'])
except KeyError:
pass
try:
Scienta.stepTime.write(self.region['tstep'])
append_dataset(self.step_time_dataset_name, self.region['tstep'])
except KeyError:
pass
try:
Scienta.setIterations(self.region['iter'])
append_dataset(self.iterations_dataset_name, self.region['iter'])
except KeyError:
pass
try:
ExitSlit.write(self.region['slit'])
append_dataset(self.slit_dataset_name, self.region['slit'])
except KeyError:
pass
if self.region['position'] == 'sample':
move_to_position(SAMPLE_POSITION)
for name in SAMPLE_POSITION.keys():
append_dataset(self.position_dataset_names[name], SAMPLE_POSITION[name])
elif self.region['position'] == 'reference':
move_to_position(REFERENCE_POSITION)
for name in REFERENCE_POSITION.keys():
append_dataset(self.position_dataset_names[name], SAMPLE_POSITION[name])
Scienta.update()
def read(self):
# print("spectrum.read")
global current_region_index
current_region_index = self.region_index
self.setup()
# print("Acquiring region {0}.".format(self.region['name']))
trig_scienta()
time.sleep(0.1)
sp = Scienta.getSpectrum().read()
append_dataset(self.channel_begin_dataset_name, Scienta.getChannelBegin().getValue())
append_dataset(self.channel_end_dataset_name, Scienta.getChannelEnd().getValue())
return sp
def getSize(self):
# this is called before the scan starts - we have to predict the spectrum size
# wrong values don't seem to affect the data files, however
if self.region['fixed']:
nx = 1066
else:
nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
return nx
class ImageReader(ReadonlyRegisterBase, ReadonlyRegisterMatrix):
"""
pseudo-device class to read out the Scienta image per region.
this device just reads out the Scienta image that has been acquired by SpectrumReader.
"""
def read(self):
# print("image.read")
return Scienta.getDataMatrix().read()
def getWidth(self):
# this is called before the scan starts - we have to predict the spectrum size
# wrong values don't seem to affect the data files, however
if self.region['fixed']:
nx = 1066
else:
nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
return nx
def getHeight(self):
# this is called before the scan starts - the number of slices is an independent parameter
ny = Scienta.slices.read()
return ny
class SimpleDeviceReader(Readable):
"""
pseudo-device class to read out another device once per region.
the device must be set assigned to the source attribute.
"""
def read(self):
return self.source.read()
def setup_live_plots(regions):
global live_plots
global current_region_index
names = [region['name'] for region in regions]
live_plots = plot(None, names, title="Live Spectra")
current_region_index = 0
def update_live_plots():
global live_plots
global current_region_index
try:
while get_context().state.running:
y = Scienta.spectrum.take(100)
x = Scienta.spectrumX
try:
series = live_plots[current_region_index].getSeries(0)
series.setData(x, y)
except IndexError:
pass
time.sleep(1.0)
finally:
print "Stopping live spectra"
def do_scan(scan, motors, positions, regions, latency):
"""
set up detectors and run the scan
for each region we have to add a SpectrumReader and an ImageReader pseudo-device to the SENSORS list.
the order SpectrumReader, ImageReader is important because the SpectrumReader triggers the Scienta,
whereafter the ImageReader reads the image.
"""
global SENSORS
SENSORS = []
for (index, region) in enumerate(regions):
check_region(region)
reader = SpectrumReader()
reader.region_index = index
reader.region_name = "region{0}".format(index + 1)
reader.region = region
reader.initialize()
set_device_alias(reader, reader.region_name + "/ScientaSpectrum")
SENSORS.append(reader)
image = ImageReader()
image.region_index = index
image.region = region
image.initialize()
set_device_alias(image, reader.region_name + "/ScientaImage")
SENSORS.append(image)
dev = SimpleDeviceReader()
dev.source = SampleCurrent
set_device_alias(dev, reader.region_name + "/SampleCurrent")
SENSORS.append(dev)
dev = SimpleDeviceReader()
dev.source = RefCurrent
set_device_alias(dev, reader.region_name + "/RefCurrent")
SENSORS.append(dev)
adjust_sensors()
set_adc_averaging()
if scan == 'ascan':
ascan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, zigzag = True, before_read=wait_beam, after_read = after_readout)
elif scan == 'lscan':
lscan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, before_read=wait_beam, after_read = after_readout)
elif scan == 'vscan':
vscan(motors, SENSORS, positions, True, latency,False, before_read=wait_beam, after_read = after_readout)
else:
print('unknown scan mode {}'.format(scan))
for (index, region) in enumerate(regions):
set_attribute(get_exec_pars().scanPath + "region{0}/ScientaSpectrum".format(index + 1), "RegionName", region['name'])
set_attribute(get_exec_pars().scanPath + "region{0}/ScientaImage".format(index + 1), "RegionName", region['name'])
set_attribute(get_exec_pars().scanPath, "Regions", [region['name'] for region in regions])
try:
setup_live_plots(REGIONS)
task = fork(update_live_plots)
do_scan(SCAN, MOTORS, POSITIONS, REGIONS, LATENCY)
finally:
if CLOSE_SHUTTER_AT_END:
after_scan()
@@ -1,387 +0,0 @@
"""
repeated xps scans with reference sample
usage
=====
1. set the NUMBER_OF_ITERATIONS
2. set the REFERENCE_POSITION and SAMPLE_POSITION
3. set the REGION parameters
troubleshooting
===============
if the script runs through very quickly without measuring anything:
check that all position values include a decimal point!!!
"""
# dummy scan (time series)
MOTORS = [dummy]
# number of cycles (integer - not decimal point!)
# (actual number of cycles is + 1)
NUMBER_OF_CYCLES = 0
POSITIONS = [1., 10., NUMBER_OF_CYCLES]
SCAN = 'lscan'
# seconds to wait between positioning command and triggering the detector
LATENCY = 0.0
# region setup
#
# for each region, define a python dictionary with the following items.
# optional items can be left unspecified and will default to the indicated values.
# for swept mode, include 'elo', 'ehi', 'estep', 'iter' values, but do not include 'efix'.
# for fixed mode, include 'efix' value, but do not include 'elo', 'ehi', 'estep', 'iter'.
#
# 'name': user-specific name of the region (for graph title and RegionName attribute in data file)
# 'elo': lower kinetic energy boundary of the spectrum
# 'ehi': upper kinetic energy boundary of the spectrum
# 'estep': energy step size
# 'efix': center kinetic energy in fixed mode
# 'epass': pass energy
# 'ephot': photon energy (default: unchanged)
# 'tstep': dwell time in seconds
# 'iter': number of iterations/sweeps (default 1)
# 'cis': True = constant initial state (photoemission line), False = constant final state (Auger peak), (default False)
# 'slit': exit slit (default: unchanged)
# 'position': 'reference' or 'sample'
REFERENCE_POSITION = {'X': 2.30,'Y': 7.60, 'Z': 114.00, 'Theta': -9., 'Tilt': -2.0, 'Phi': -90.}
SAMPLE_POSITION = {'X': 2.30,'Y': 3.00, 'Z': 114.00, 'Theta': -9., 'Tilt': -2.0, 'Phi': -90.}
# DEFINE THE REGIONS
# -- Region A @ 70 eV (G1 600)
REGION_A1 = {'name': 'MoEF', 'ephot': 70., 'elo': 63., 'ehi':68., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_A2 = {'name': 'In4d', 'elo': 44., 'ehi':51., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A3 = {'name': 'As3d', 'elo': 21., 'ehi':27., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region B @ 150 eV (G1 600)
REGION_B1 = {'name': 'MoEF', 'ephot': 150., 'elo': 143., 'ehi':146., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_B2 = {'name': 'In4d', 'elo': 124., 'ehi':131., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B3 = {'name': 'As3d', 'elo': 101., 'ehi':107., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B4 = {'name': 'Survey', 'elo': 40., 'ehi':150., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B5 = {'name': 'Al2p', 'elo': 68., 'ehi':75., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region E @ 250 eV (G1 600)
REGION_E1 = {'name': 'MoEF', 'ephot': 250., 'elo': 243., 'ehi':246., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_E2 = {'name': 'In4d', 'elo': 224., 'ehi':231., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_E3 = {'name': 'As3d', 'elo': 201., 'ehi':207., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_E4 = {'name': 'Survey', 'elo': 140., 'ehi':250., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_E5 = {'name': 'Al2p', 'elo': 168., 'ehi':175., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region C @ 350 eV (G1 600)
REGION_C1 = {'name': 'MoEF', 'ephot': 350., 'elo': 343., 'ehi':346., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_C2 = {'name': 'In4d', 'elo': 324., 'ehi':331., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C3 = {'name': 'As3d', 'elo': 301., 'ehi':307., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C4 = {'name': 'Survey', 'elo': 240., 'ehi':350., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C5 = {'name': 'Al2p', 'elo': 268., 'ehi':275., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region D @ 550 eV (G1 600)
REGION_D1 = {'name': 'MoEF', 'ephot': 550., 'elo': 543., 'ehi':546., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_D2 = {'name': 'In4d', 'elo': 524., 'ehi':531., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D3 = {'name': 'As3d', 'elo': 501., 'ehi':507., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D4 = {'name': 'Survey', 'elo': 440., 'ehi':550., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D5 = {'name': 'Al2p', 'elo': 468., 'ehi':475., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# CHOOSE THE REGIONS TO RUN
## (G1 600)
## REGIONS = [REGION_A1,REGION_A2,REGION_A3,REGION_A4]
## (G1 600) - Full photon energy dependence
REGIONS = [REGION_A1,REGION_A2,REGION_A3,REGION_B1,REGION_B2,REGION_B3,REGION_B4,REGION_B5,REGION_E1,REGION_E2,REGION_E3,REGION_E4,REGION_E5,REGION_C1,REGION_C2,REGION_C3,REGION_C4,REGION_C5,REGION_D1,REGION_D2,REGION_D3,REGION_D4,REGION_D5]
# close beam shutter and turn off analyser at the end of the scan
# True or False
CLOSE_SHUTTER_AT_END = False
# --- DO NOT EDIT BELOW THIS LINE! ---
set_exec_pars(keep=False)
set_exec_pars(compression=True)
def check_region(region):
"""
check region dictionary items and apply defaults where necessary
"""
region['fixed'] = 'efix' in region
if region['fixed']:
region['elo'] = region['efix']
region['ehi'] = region['efix']
if 'iter' not in region:
region['iter'] = 1
print("region {0}: setting default iter = {1}".format(region['name'], region['iter']))
if 'cis' not in region:
region['cis'] = False
print("region {0}: setting default cis = {1}".format(region['name'], region['cis']))
def move_to_position(pdict):
ManipulatorX.move(pdict['X'])
ManipulatorY.move(pdict['Y'])
ManipulatorZ.move(pdict['Z'])
ManipulatorTheta.move(pdict['Theta'])
ManipulatorTilt.move(pdict['Tilt'])
ManipulatorPhi.move(pdict['Phi'])
class SpectrumReader(ReadonlyRegisterBase, ReadonlyRegisterArray):
"""
pseudo-device class to acquire and read out a Scienta spectrum per region.
this devices starts the spectrum acquisition and organises the data file.
"""
def initialize(self):
#super(SpectrumReader, self).initialize()
self.scan_index = -1
def create_datasets(self):
path = get_exec_pars().scanPath + self.region_name + "/"
self.channel_begin_dataset_name = path + "ScientaChannelBegin"
self.channel_end_dataset_name = path + "ScientaChannelEnd"
create_dataset(self.channel_begin_dataset_name, 'd')
create_dataset(self.channel_end_dataset_name, 'd')
if self.region['fixed']:
self.channel_center_dataset_name = path + "ScientaChannelCenter"
create_dataset(self.channel_center_dataset_name, 'd')
else:
self.step_energy_dataset_name = path + "ScientaStepEnergy"
create_dataset(self.step_energy_dataset_name, 'd')
if 'epass' in self.region:
self.pass_energy_dataset_name = path + "ScientaPassEnergy"
create_dataset(self.pass_energy_dataset_name, 'd')
if 'tstep' in self.region:
self.step_time_dataset_name = path + "ScientaStepTime"
create_dataset(self.step_time_dataset_name, 'd')
if 'iter' in self.region:
self.iterations_dataset_name = path + "ScientaIterations"
create_dataset(self.iterations_dataset_name, 'd')
if 'slit' in self.region:
self.slit_dataset_name = path + "ExitSlit"
create_dataset(self.slit_dataset_name, 'd')
if 'position' in self.region:
position_names = {key:path + "Position"+ key for key in ['X','Y','Z','Theta','Tilt','Phi']}
self.position_dataset_names = position_names
for datanames in self.position_dataset_names.values():
create_dataset(datanames, 'd')
def setup(self):
# print("spectrum.setup")
if self.scan_index != get_exec_pars().index:
self.scan_index = get_exec_pars().index
self.create_datasets()
print "scan {0}, region {1} ({2})".format(self.scan_index, self.region_index, self.region['name'])
edelta = 0.0
try:
ephot = self.region['ephot']
Eph.move(ephot)
except KeyError:
ephot = Eph.take(100)
if isinstance(ephot, float) and ephot > 0.:
try:
if self.region['cis']:
edelta = ephot - self.ephot_start
except AttributeError:
self.ephot_start = ephot
elo = self.region['elo'] + edelta
ehi = self.region['ehi'] + edelta
if self.region['fixed']:
Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Fixed)
Scienta.centerEnergy.write(elo)
append_dataset(self.channel_center_dataset_name, elo)
else:
Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Swept)
Scienta.lowEnergy.write(elo)
Scienta.highEnergy.write(ehi)
Scienta.stepSize.write(self.region['estep'])
append_dataset(self.step_energy_dataset_name, self.region['estep'])
try:
Scienta.setPassEnergy(int(self.region['epass']))
append_dataset(self.pass_energy_dataset_name, self.region['epass'])
except KeyError:
pass
try:
Scienta.stepTime.write(self.region['tstep'])
append_dataset(self.step_time_dataset_name, self.region['tstep'])
except KeyError:
pass
try:
Scienta.setIterations(self.region['iter'])
append_dataset(self.iterations_dataset_name, self.region['iter'])
except KeyError:
pass
try:
ExitSlit.write(self.region['slit'])
append_dataset(self.slit_dataset_name, self.region['slit'])
except KeyError:
pass
if self.region['position'] == 'sample':
move_to_position(SAMPLE_POSITION)
for name in SAMPLE_POSITION.keys():
append_dataset(self.position_dataset_names[name], SAMPLE_POSITION[name])
elif self.region['position'] == 'reference':
move_to_position(REFERENCE_POSITION)
for name in REFERENCE_POSITION.keys():
append_dataset(self.position_dataset_names[name], SAMPLE_POSITION[name])
Scienta.update()
def read(self):
# print("spectrum.read")
global current_region_index
current_region_index = self.region_index
self.setup()
# print("Acquiring region {0}.".format(self.region['name']))
trig_scienta()
time.sleep(0.1)
sp = Scienta.getSpectrum().read()
append_dataset(self.channel_begin_dataset_name, Scienta.getChannelBegin().getValue())
append_dataset(self.channel_end_dataset_name, Scienta.getChannelEnd().getValue())
return sp
def getSize(self):
# this is called before the scan starts - we have to predict the spectrum size
# wrong values don't seem to affect the data files, however
if self.region['fixed']:
nx = 1066
else:
nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
return nx
class ImageReader(ReadonlyRegisterBase, ReadonlyRegisterMatrix):
"""
pseudo-device class to read out the Scienta image per region.
this device just reads out the Scienta image that has been acquired by SpectrumReader.
"""
def read(self):
# print("image.read")
return Scienta.getDataMatrix().read()
def getWidth(self):
# this is called before the scan starts - we have to predict the spectrum size
# wrong values don't seem to affect the data files, however
if self.region['fixed']:
nx = 1066
else:
nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
return nx
def getHeight(self):
# this is called before the scan starts - the number of slices is an independent parameter
ny = Scienta.slices.read()
return ny
class SimpleDeviceReader(Readable):
"""
pseudo-device class to read out another device once per region.
the device must be set assigned to the source attribute.
"""
def read(self):
return self.source.read()
def setup_live_plots(regions):
global live_plots
global current_region_index
names = [region['name'] for region in regions]
live_plots = plot(None, names, title="Live Spectra")
current_region_index = 0
def update_live_plots():
global live_plots
global current_region_index
try:
while get_context().state.running:
y = Scienta.spectrum.take(100)
x = Scienta.spectrumX
try:
series = live_plots[current_region_index].getSeries(0)
series.setData(x, y)
except IndexError:
pass
time.sleep(1.0)
finally:
print "Stopping live spectra"
def do_scan(scan, motors, positions, regions, latency):
"""
set up detectors and run the scan
for each region we have to add a SpectrumReader and an ImageReader pseudo-device to the SENSORS list.
the order SpectrumReader, ImageReader is important because the SpectrumReader triggers the Scienta,
whereafter the ImageReader reads the image.
"""
global SENSORS
SENSORS = []
for (index, region) in enumerate(regions):
check_region(region)
reader = SpectrumReader()
reader.region_index = index
reader.region_name = "region{0}".format(index + 1)
reader.region = region
reader.initialize()
set_device_alias(reader, reader.region_name + "/ScientaSpectrum")
SENSORS.append(reader)
image = ImageReader()
image.region_index = index
image.region = region
image.initialize()
set_device_alias(image, reader.region_name + "/ScientaImage")
SENSORS.append(image)
dev = SimpleDeviceReader()
dev.source = SampleCurrent
set_device_alias(dev, reader.region_name + "/SampleCurrent")
SENSORS.append(dev)
dev = SimpleDeviceReader()
dev.source = RefCurrent
set_device_alias(dev, reader.region_name + "/RefCurrent")
SENSORS.append(dev)
adjust_sensors()
set_adc_averaging()
if scan == 'ascan':
ascan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, zigzag = True, before_read=wait_beam, after_read = after_readout)
elif scan == 'lscan':
lscan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, before_read=wait_beam, after_read = after_readout)
elif scan == 'vscan':
vscan(motors, SENSORS, positions, True, latency,False, before_read=wait_beam, after_read = after_readout)
else:
print('unknown scan mode {}'.format(scan))
for (index, region) in enumerate(regions):
set_attribute(get_exec_pars().scanPath + "region{0}/ScientaSpectrum".format(index + 1), "RegionName", region['name'])
set_attribute(get_exec_pars().scanPath + "region{0}/ScientaImage".format(index + 1), "RegionName", region['name'])
set_attribute(get_exec_pars().scanPath, "Regions", [region['name'] for region in regions])
try:
setup_live_plots(REGIONS)
task = fork(update_live_plots)
do_scan(SCAN, MOTORS, POSITIONS, REGIONS, LATENCY)
finally:
if CLOSE_SHUTTER_AT_END:
after_scan()
@@ -1,386 +0,0 @@
"""
repeated xps scans with reference sample
usage
=====
1. set the NUMBER_OF_ITERATIONS
2. set the REFERENCE_POSITION and SAMPLE_POSITION
3. set the REGION parameters
troubleshooting
===============
if the script runs through very quickly without measuring anything:
check that all position values include a decimal point!!!
"""
# dummy scan (time series)
MOTORS = [dummy]
# number of cycles (integer - not decimal point!)
# (actual number of cycles is + 1)
NUMBER_OF_CYCLES = 0
POSITIONS = [1., 10., NUMBER_OF_CYCLES]
SCAN = 'lscan'
# seconds to wait between positioning command and triggering the detector
LATENCY = 0.0
# region setup
#
# for each region, define a python dictionary with the following items.
# optional items can be left unspecified and will default to the indicated values.
# for swept mode, include 'elo', 'ehi', 'estep', 'iter' values, but do not include 'efix'.
# for fixed mode, include 'efix' value, but do not include 'elo', 'ehi', 'estep', 'iter'.
#
# 'name': user-specific name of the region (for graph title and RegionName attribute in data file)
# 'elo': lower kinetic energy boundary of the spectrum
# 'ehi': upper kinetic energy boundary of the spectrum
# 'estep': energy step size
# 'efix': center kinetic energy in fixed mode
# 'epass': pass energy
# 'ephot': photon energy (default: unchanged)
# 'tstep': dwell time in seconds
# 'iter': number of iterations/sweeps (default 1)
# 'cis': True = constant initial state (photoemission line), False = constant final state (Auger peak), (default False)
# 'slit': exit slit (default: unchanged)
# 'position': 'reference' or 'sample'
REFERENCE_POSITION = {'X': 2.30,'Y': 7.60, 'Z': 114.00, 'Theta': -9., 'Tilt': -2.0, 'Phi': -90.}
SAMPLE_POSITION = {'X': 2.30,'Y': 3.00, 'Z': 114.00, 'Theta': -9., 'Tilt': -2.0, 'Phi': -90.}
# DEFINE THE REGIONS
# -- Region A @ 650 eV (G2 1200)
REGION_A1 = {'name': 'MoEF', 'ephot': 650., 'elo': 642., 'ehi':645.5, 'estep':0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_A2 = {'name': 'In4d', 'elo': 623., 'ehi':631., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A3 = {'name': 'As3d', 'elo': 600., 'ehi':607., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A4 = {'name': 'In3d', 'elo': 190., 'ehi':205., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A5 = {'name': 'Al2p', 'elo': 566., 'ehi':575., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_A6 = {'name': 'Survey', 'elo': 540., 'ehi':650., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region B @ 750 eV (G2 1200)
REGION_B1 = {'name': 'MoEF', 'ephot': 750., 'elo': 742., 'ehi':745.5, 'estep':0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_B2 = {'name': 'In4d', 'elo': 723., 'ehi':731., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B3 = {'name': 'As3d', 'elo': 700., 'ehi':707., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B4 = {'name': 'In3d', 'elo': 290., 'ehi':305., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B5 = {'name': 'Al2p', 'elo': 666., 'ehi':675., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_B6 = {'name': 'Survey', 'elo': 640., 'ehi':750., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region D @ 850 eV (G2 1200)
REGION_D1 = {'name': 'MoEF', 'ephot': 850., 'elo': 842., 'ehi':845.5, 'estep':0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_D2 = {'name': 'In4d', 'elo': 823., 'ehi':831., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D3 = {'name': 'As3d', 'elo': 800., 'ehi':807., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D4 = {'name': 'In3d', 'elo': 390., 'ehi':405., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D5 = {'name': 'Al2p', 'elo': 766., 'ehi':775., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_D6 = {'name': 'Survey', 'elo': 740., 'ehi':850., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# -- Region C @ 1050 eV (G2 1200)
REGION_C1 = {'name': 'MoEF', 'ephot': 1050., 'elo': 1042., 'ehi':1045.5, 'estep':0.02, 'epass': 20., 'tstep': 4.0, 'iter': 1, 'cis': False, 'position': 'reference'}
REGION_C2 = {'name': 'In4d', 'elo': 1023., 'ehi':1031., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C3 = {'name': 'As3d', 'elo': 1000., 'ehi':1007., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C4 = {'name': 'In3d', 'elo': 590., 'ehi':605., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C5 = {'name': 'Al2p', 'elo': 966., 'ehi':975., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
REGION_C6 = {'name': 'Survey', 'elo': 940., 'ehi':1050., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
# CHOOSE THE REGIONS TO RUN
## (G1 600)
# REGIONS = [REGION_A1,REGION_A2,REGION_A3,REGION_A4]
## (G2 1200)
REGIONS = [REGION_A1,REGION_A2,REGION_A3,REGION_A4,REGION_A5,REGION_A6,REGION_B1,REGION_B2,REGION_B3,REGION_B4,REGION_B5,REGION_B6,REGION_D1,REGION_D2,REGION_D3,REGION_D4,REGION_D5,REGION_D6,REGION_C1,REGION_C2,REGION_C3,REGION_C4,REGION_C5,REGION_C6]
# close beam shutter and turn off analyser at the end of the scan
# True or False
CLOSE_SHUTTER_AT_END = False
# --- DO NOT EDIT BELOW THIS LINE! ---
set_exec_pars(keep=False)
set_exec_pars(compression=True)
def check_region(region):
"""
check region dictionary items and apply defaults where necessary
"""
region['fixed'] = 'efix' in region
if region['fixed']:
region['elo'] = region['efix']
region['ehi'] = region['efix']
if 'iter' not in region:
region['iter'] = 1
print("region {0}: setting default iter = {1}".format(region['name'], region['iter']))
if 'cis' not in region:
region['cis'] = False
print("region {0}: setting default cis = {1}".format(region['name'], region['cis']))
def move_to_position(pdict):
ManipulatorX.move(pdict['X'])
ManipulatorY.move(pdict['Y'])
ManipulatorZ.move(pdict['Z'])
ManipulatorTheta.move(pdict['Theta'])
ManipulatorTilt.move(pdict['Tilt'])
ManipulatorPhi.move(pdict['Phi'])
class SpectrumReader(ReadonlyRegisterBase, ReadonlyRegisterArray):
"""
pseudo-device class to acquire and read out a Scienta spectrum per region.
this devices starts the spectrum acquisition and organises the data file.
"""
def initialize(self):
#super(SpectrumReader, self).initialize()
self.scan_index = -1
def create_datasets(self):
path = get_exec_pars().scanPath + self.region_name + "/"
self.channel_begin_dataset_name = path + "ScientaChannelBegin"
self.channel_end_dataset_name = path + "ScientaChannelEnd"
create_dataset(self.channel_begin_dataset_name, 'd')
create_dataset(self.channel_end_dataset_name, 'd')
if self.region['fixed']:
self.channel_center_dataset_name = path + "ScientaChannelCenter"
create_dataset(self.channel_center_dataset_name, 'd')
else:
self.step_energy_dataset_name = path + "ScientaStepEnergy"
create_dataset(self.step_energy_dataset_name, 'd')
if 'epass' in self.region:
self.pass_energy_dataset_name = path + "ScientaPassEnergy"
create_dataset(self.pass_energy_dataset_name, 'd')
if 'tstep' in self.region:
self.step_time_dataset_name = path + "ScientaStepTime"
create_dataset(self.step_time_dataset_name, 'd')
if 'iter' in self.region:
self.iterations_dataset_name = path + "ScientaIterations"
create_dataset(self.iterations_dataset_name, 'd')
if 'slit' in self.region:
self.slit_dataset_name = path + "ExitSlit"
create_dataset(self.slit_dataset_name, 'd')
if 'position' in self.region:
position_names = {key:path + "Position"+ key for key in ['X','Y','Z','Theta','Tilt','Phi']}
self.position_dataset_names = position_names
for datanames in self.position_dataset_names.values():
create_dataset(datanames, 'd')
def setup(self):
# print("spectrum.setup")
if self.scan_index != get_exec_pars().index:
self.scan_index = get_exec_pars().index
self.create_datasets()
print "scan {0}, region {1} ({2})".format(self.scan_index, self.region_index, self.region['name'])
edelta = 0.0
try:
ephot = self.region['ephot']
Eph.move(ephot)
except KeyError:
ephot = Eph.take(100)
if isinstance(ephot, float) and ephot > 0.:
try:
if self.region['cis']:
edelta = ephot - self.ephot_start
except AttributeError:
self.ephot_start = ephot
elo = self.region['elo'] + edelta
ehi = self.region['ehi'] + edelta
if self.region['fixed']:
Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Fixed)
Scienta.centerEnergy.write(elo)
append_dataset(self.channel_center_dataset_name, elo)
else:
Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Swept)
Scienta.lowEnergy.write(elo)
Scienta.highEnergy.write(ehi)
Scienta.stepSize.write(self.region['estep'])
append_dataset(self.step_energy_dataset_name, self.region['estep'])
try:
Scienta.setPassEnergy(int(self.region['epass']))
append_dataset(self.pass_energy_dataset_name, self.region['epass'])
except KeyError:
pass
try:
Scienta.stepTime.write(self.region['tstep'])
append_dataset(self.step_time_dataset_name, self.region['tstep'])
except KeyError:
pass
try:
Scienta.setIterations(self.region['iter'])
append_dataset(self.iterations_dataset_name, self.region['iter'])
except KeyError:
pass
try:
ExitSlit.write(self.region['slit'])
append_dataset(self.slit_dataset_name, self.region['slit'])
except KeyError:
pass
if self.region['position'] == 'sample':
move_to_position(SAMPLE_POSITION)
for name in SAMPLE_POSITION.keys():
append_dataset(self.position_dataset_names[name], SAMPLE_POSITION[name])
elif self.region['position'] == 'reference':
move_to_position(REFERENCE_POSITION)
for name in REFERENCE_POSITION.keys():
append_dataset(self.position_dataset_names[name], SAMPLE_POSITION[name])
Scienta.update()
def read(self):
# print("spectrum.read")
global current_region_index
current_region_index = self.region_index
self.setup()
# print("Acquiring region {0}.".format(self.region['name']))
trig_scienta()
time.sleep(0.1)
sp = Scienta.getSpectrum().read()
append_dataset(self.channel_begin_dataset_name, Scienta.getChannelBegin().getValue())
append_dataset(self.channel_end_dataset_name, Scienta.getChannelEnd().getValue())
return sp
def getSize(self):
# this is called before the scan starts - we have to predict the spectrum size
# wrong values don't seem to affect the data files, however
if self.region['fixed']:
nx = 1066
else:
nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
return nx
class ImageReader(ReadonlyRegisterBase, ReadonlyRegisterMatrix):
"""
pseudo-device class to read out the Scienta image per region.
this device just reads out the Scienta image that has been acquired by SpectrumReader.
"""
def read(self):
# print("image.read")
return Scienta.getDataMatrix().read()
def getWidth(self):
# this is called before the scan starts - we have to predict the spectrum size
# wrong values don't seem to affect the data files, however
if self.region['fixed']:
nx = 1066
else:
nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
return nx
def getHeight(self):
# this is called before the scan starts - the number of slices is an independent parameter
ny = Scienta.slices.read()
return ny
class SimpleDeviceReader(Readable):
"""
pseudo-device class to read out another device once per region.
the device must be set assigned to the source attribute.
"""
def read(self):
return self.source.read()
def setup_live_plots(regions):
global live_plots
global current_region_index
names = [region['name'] for region in regions]
live_plots = plot(None, names, title="Live Spectra")
current_region_index = 0
def update_live_plots():
global live_plots
global current_region_index
try:
while get_context().state.running:
y = Scienta.spectrum.take(100)
x = Scienta.spectrumX
try:
series = live_plots[current_region_index].getSeries(0)
series.setData(x, y)
except IndexError:
pass
time.sleep(1.0)
finally:
print "Stopping live spectra"
def do_scan(scan, motors, positions, regions, latency):
"""
set up detectors and run the scan
for each region we have to add a SpectrumReader and an ImageReader pseudo-device to the SENSORS list.
the order SpectrumReader, ImageReader is important because the SpectrumReader triggers the Scienta,
whereafter the ImageReader reads the image.
"""
global SENSORS
SENSORS = []
for (index, region) in enumerate(regions):
check_region(region)
reader = SpectrumReader()
reader.region_index = index
reader.region_name = "region{0}".format(index + 1)
reader.region = region
reader.initialize()
set_device_alias(reader, reader.region_name + "/ScientaSpectrum")
SENSORS.append(reader)
image = ImageReader()
image.region_index = index
image.region = region
image.initialize()
set_device_alias(image, reader.region_name + "/ScientaImage")
SENSORS.append(image)
dev = SimpleDeviceReader()
dev.source = SampleCurrent
set_device_alias(dev, reader.region_name + "/SampleCurrent")
SENSORS.append(dev)
dev = SimpleDeviceReader()
dev.source = RefCurrent
set_device_alias(dev, reader.region_name + "/RefCurrent")
SENSORS.append(dev)
adjust_sensors()
set_adc_averaging()
if scan == 'ascan':
ascan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, zigzag = True, before_read=wait_beam, after_read = after_readout)
elif scan == 'lscan':
lscan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, before_read=wait_beam, after_read = after_readout)
elif scan == 'vscan':
vscan(motors, SENSORS, positions, True, latency,False, before_read=wait_beam, after_read = after_readout)
else:
print('unknown scan mode {}'.format(scan))
for (index, region) in enumerate(regions):
set_attribute(get_exec_pars().scanPath + "region{0}/ScientaSpectrum".format(index + 1), "RegionName", region['name'])
set_attribute(get_exec_pars().scanPath + "region{0}/ScientaImage".format(index + 1), "RegionName", region['name'])
set_attribute(get_exec_pars().scanPath, "Regions", [region['name'] for region in regions])
try:
setup_live_plots(REGIONS)
task = fork(update_live_plots)
do_scan(SCAN, MOTORS, POSITIONS, REGIONS, LATENCY)
finally:
if CLOSE_SHUTTER_AT_END:
after_scan()