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About
This page provides examples for selected modules from Psana psana - Module Catalog.
Auxiliary scripts
A few python scripts in ImgPixSpectra/data/ show how to process/plot the spectral array stored in the file.
...
psana.cfg- set non-default parameters to runpsanaforImgAlgos::ImgPeakFinderandImgAlgos::ImgPeakFilter
Thepsanarunning this script saves images and peaks for event 115 in text files.PlotCameraImageFromFile.py- Plots image and spectrum for image saved in file.PlotCameraImageAndPeaks.py- Plots image with found peaks and spectrum.
Examples for package cspad_mod
Example for module cspad_mod::CsPad2x2Pedestals
Configuration file for pedestals calibration of two CSPAD2x2 simultaneously:
| Code Block | ||
|---|---|---|
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[psana]
files = /reg/d/psdm/xpp/xpptut13/xtc/e308-r0070-s02-c00.xtc \
/reg/d/psdm/xpp/xpptut13/xtc/e308-r0070-s03-c00.xtc
modules = cspad_mod.CsPad2x2Pedestals:0 \
cspad_mod.CsPad2x2Pedestals:1
#skip-events = 100
#events = 1111
[cspad_mod.CsPad2x2Pedestals:0]
source = DetInfo(XppGon.0:Cspad2x2.0)
output = pedestals-ave-xppi0513-r0070-Cspad2x2.0.dat
noise = pedestals-rms-xppi0513-r0070-Cspad2x2.0.dat
[cspad_mod.CsPad2x2Pedestals:1]
source = DetInfo(XppGon.0:Cspad2x2.1)
output = pedestals-ave-xppi0513-r0070-Cspad2x2.1.dat
noise = pedestals-rms-xppi0513-r0070-Cspad2x2.1.dat
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Command to run this script:
| Code Block | ||
|---|---|---|
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psana -c psana-xppi0513-r0070-cspad2x2-pedestals.cfg
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The xtc file name(s) may be passed as an argument:
| Code Block | ||
|---|---|---|
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psana -c psana-xppi0513-r0070-cspad2x2-pedestals.cfg /reg/d/psdm/xpp/xpptut13/xtc/e308-r0070-*.xtc
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Output files contain results, which can be plotted for average values:
and rms values:
Examples for package CSPadPixCoords
Example for
...
module CSPadPixCoords::CSPadImageProducer
How to write the CSPad image in text file:
| Code Block | ||
|---|---|---|
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[psana]
files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-1>.xtc
events = 5
modules = cspad_mod.CsPadCalib CSPadPixCoords.CSPadImageProducer ImgAlgos.ImgSaveInFile
[cspad_mod.CsPadCalib]
inputKey =
outputKey = calibrated
doPedestals = yes
doPixelStatus = no
doCommonMode = no
#[CSPadPixCoords.CSPadInterpolImageProducer]
[CSPadPixCoords.CSPadImageProducer]
calibDir = /reg/d/psdm/<instrument>/<experiment>/calib
typeGroupName = CsPad::CalibV1
source = CxiDs1.0:Cspad.0
key = calibrated
imgkey = Image2D
tiltIsApplied = true
[ImgAlgos.ImgSaveInFile]
source = CxiDs1.0:Cspad.0
#eventSave = 1
saveAll = true
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Example for module CSPadPixCoords::
...
CSPadNDArrProducer
See Module CSPadPixCoords::CSPad2x2ImageProducerCSPadNDArrProducer
Example of the configuration script for psana (cspad2x2-test.cfg):module CSPadNDArrProducer working in sequence with ImgAlgos::NDArrAverage is shown in Example for module ImgAlgos::NDArrAverage
Example for module CSPadPixCoords::CSPad2x2NDArrProducer
| No Format | ||
|---|---|---|
# Run this script:
# psana -c psana-meca1113-r0045-cspad-cspad2x2-dark-hotpix.cfg
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| Code Block | ||
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[psana] files# Default calibration directory: # calib-dir = /reg/d/psdm/<instrument>mec/<experiment>/xtc/<file-name-1>.xtc events = 5 modulesmeca1113/calib files = exp=meca1113:run=45 events = 400 #skip-events = 0 modules = CSPadPixCoords.CSPad2x2NDArrProducer:1 \ = CSPadPixCoords.CSPad2x2ImageProducer.CSPad2x2NDArrProducer:2 \ ImgAlgos.NDArrAverage:1 \ ImgAlgos.ImgSaveInFileNDArrAverage:2 [CSPadPixCoords.CSPad2x2ImageProducerCSPad2x2NDArrProducer:1] source = MecTargetChamber.0:Cspad2x2.1 inkey = outkey = DetInfo(:Cspad2x2) inkey = outimgkey = Image tiltIsApplied = truecspad2x2.1_ndarr outtype = int16 print_bits = 3 [CSPadPixCoords.CSPad2x2NDArrProducer:2] source = MecTargetChamber.0:Cspad2x2.2 inkey = outkey = cspad2x2.2_ndarr outtype = int16 print_bits = 153 [ImgAlgos.ImgSaveInFileNDArrAverage:1] source = DetInfo(MecTargetChamber.0:Cspad2x2).1 key = Image fnamecspad2x2.1_ndarr avefile = cspad2x2 saveAll .1-ave rmsfile = true #eventSavecspad2x2.1-rms maskfile = 5 |
...
cspad2x2 |
...
Configuration file for cspad2x2 with pedestal subtraction
| Note |
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Access to the CSPad2x2 aligned geometry is added on 2013-02-13 |
Example of <psana-config-file.cfg>:
| Code Block | ||
|---|---|---|
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[psana] files = /reg/d/psdm/mec/mec73313/xtc/e268-r0180-s02-c00.xtc #calib-dir = ./calib modules = cspad_mod.CsPadCalib CSPadPixCoords.CSPad2x2ImageProducer ImgAlgos.ImgSaveInFile events = 5 [cspad_mod.CsPadCalib.1-msk hotpixfile = cspad2x2.1-hot #evts_stage1 = 100 #gate_width1 = 100. thr_rms_ADU = 10 thr_min_ADU = 4 thr_max_ADU = 10000 print_bits = 29 [ImgAlgos.NDArrAverage:2] source = DetInfo(MecTargetChamber.0:Cspad2x2.3)2 inputKeykey = outputKey = calibratedcspad2x2.2_arrndarr doPedestalsavefile = yes doPixelStatus = no doCommonMode = no [CSPadPixCoords.CSPad2x2ImageProducer] calibDir cspad2x2.2-ave rmsfile = /reg/d/psdm/mec/mec73313/calib typeGroupName = CsPad2x2::CalibV1 #source = DetInfo(MecTargetChamber.0:Cspad2x2.3) source = :Cspad2x2.3 inkey = calibrated_arr outimgkey = Image tiltIsApplied = true print_bits = 15 [ImgAlgos.ImgSaveInFile] sourcecspad2x2.2-rms maskfile = cspad2x2.2-msk hotpixfile = cspad2x2.2-hot #evts_stage1 = 100 #gate_width1 = 100. thr_rms_ADU = 10 thr_min_ADU = 4 thr_max_ADU = 10000 print_bits = 29 |
This script makes ndarrays for two cspad2x2 detectors and use them evaluate average, rms, mask and hot pixel arrays.
See Module CSPadPixCoords::CSPad2x2NDArrProducer
Example for module CSPadPixCoords::CSPad2x2NDArrReshape
Example of configuration file
| Code Block |
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[psana] #files = exp=meca1113:run=376 #events = 10 ##skip-events = 0 modules = cspad_mod.CsPadCalib \ = DetInfo(MecTargetChamberCSPadPixCoords.0:Cspad2x2.3) keyCSPad2x2NDArrProducer:clb \ CSPadPixCoords.CSPad2x2NDArrProducer:raw \ = Image fname CSPadPixCoords.CSPad2x2NDArrReshape \ = cspad2x2.3 saveAll = true print_bitsImgAlgos.NDArrAverage:clb \ = 3 #eventSaveImgAlgos.NDArrAverage:raw # = 5 |
Example of psana configuration file to get cspad2x2 images for two detectors and save them in files, one in txt, another in tiff formats:
| Code Block | ||
|---|---|---|
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[psana] filesEventKeys [cspad_mod.CsPadCalib] inputKey = /reg/d/psdm/xpp/xpptut13/xtc/e308-r0008-s02-c00.xtc \ outputKey = clb_data doPedestals = yes doPixelStatus /reg/d/psdm/xpp/xpptut13/xtc/e308-r0008-s03-c00.xtc #modules = cspad_mod.CsPad2x2Pedestals #calib-dir = ./calib calib-dir = /reg/d/psdm/xpp/xpptut13/xtc/calib modules = cspad_mod.CsPadCalib:0 \ = yes doCommonMode = yes [CSPadPixCoords.CSPad2x2NDArrProducer:clb] source = MecTargetChamber.0:Cspad2x2.1 inkey = clb_data outkey = cspad_mod.CsPadCalib:1 \ cspad2x2.1_clb:as_data outtype = int16 print_bits = 5 [CSPadPixCoords.CSPad2x2ImageProducer:0 \ CSPad2x2NDArrProducer:raw] source CSPadPixCoords.CSPad2x2ImageProducer:1 \ = MecTargetChamber.0:Cspad2x2.1 inkey = outkey = ImgAlgoscspad2x2.ImgSaveInFile:0 \ 1_raw:as_data outtype = int16 print_bits = 5 [CSPadPixCoords.CSPad2x2NDArrReshape] source = MecTargetChamber.0:Cspad2x2.1 keys_in = ImgAlgoscspad2x2.ImgSaveInFile:1 events = 5 [cspad_mod.CsPadCalib:01_raw:as_data cspad2x2.1_clb:as_data print_bits = 255 [ImgAlgos.NDArrAverage:clb] source = DetInfo(XppGonMecTargetChamber.0:Cspad2x2.0) inputKey1 key = outputKeycspad2x2.1_clb avefile = calibrated_arr0 doPedestalsarr-ave-clb rmsfile = yes doPixelStatus = no doCommonModearr-rms-clb print_bits = yes255 [cspad_modImgAlgos.CsPadCalibNDArrAverage:1raw] source = DetInfo(XppGonMecTargetChamber.0:Cspad2x2.1) inputKeykey = outputKey = calibratedcspad2x2.1_arr1raw doPedestalsavefile = yes doPixelStatus = no doCommonMode = yes [CSPadPixCoords.CSPad2x2ImageProducer:0] calibDirarr-ave-raw rmsfile = /reg/d/psdm/xpp/xpptut13/xtc/calib typeGroupName= arr-rms-raw print_bits = CsPad2x2::CalibV1 source = 255 |
This script produces raw and calibrated ndarrays shaped as data (185,388,2), then pass these arrays as
keys_in =
...
cspad2x2.1_raw:as_data cspad2x2.1_clb:as_datato the CSPadPixCoords.CSPad2x2NDArrReshape module, which produces two reshaped (2,185,388) arrays and saves them in the event store with default keys
cspad2x2.1_raw, cspad2x2.1_clb(suffixes are dropped)
then both re-shaped arrays are averaged and saved in files on disk.
Example of associated python script:
| Code Block |
|---|
#!/usr/bin/env python
import sys
import numpy as np
import matplotlib.pyplot as plt
import psana
psana.setConfigFile('psana-meca1113-r0376-cspad2x2-CSPad2x2NDArrReshape.cfg')
dsname = 'exp=meca1113:run=376'
print "Data source: %s" % dsname
ds = psana.DataSource(dsname)
#------------------------------
print "Initializing Matplotlib Plotter"
fig = plt.figure(figsize=(10,5), dpi=80, facecolor='w', edgecolor='w', frameon=True)
plt.ion()
plt.show()
evnum = 0
evnum_max = 50
for evt in ds.events() :
evtid = evt.get(psana.EventId)
evnum += 1
if evnum > evnum_max : break
img_as_data = evt.get(psana.ndarray_int16_3, psana.Source('DetInfo(MecTargetChamber.0:Cspad2x2.1)'), 'cspad2x2.1_clb:as_data')
img_reshpd = evt.get(psana.ndarray_int16_3, psana.Source('DetInfo(MecTargetChamber.0:Cspad2x2.1)'), 'cspad2x2.1_clb')
print 'img_as_data.shape = ', img_as_data.shape
print 'img_reshpd.shape = ', img_reshpd.shape
img_as_data.shape = (2*185,388)
img_reshpd.shape = (2*185,388)
ax1 = fig.add_axes([0.05, 0.06, 0.44, 0.87])
ax2 = fig.add_axes([0.55, 0.06, 0.44, 0.87])
fig.canvas.set_window_title('Image from arrays "as-data" and "reshaped"')
imsh1 = ax1.imshow(img_as_data, interpolation='nearest', aspect='auto', origin='upper') # , extent=img_range)
imsh2 = ax2.imshow(img_reshpd, interpolation='nearest', aspect='auto', origin='upper') # , extent=img_range)
plt.title("Event: %d.%d" % evtid.time())
plt.draw()
plt.clf() |
This script retrieves from the event store calibrated ndarrays shaped as data (185,388,2) and re-shaped (2,185,388), then re-shape both to 2-d arrays (2*185,388) and plot them. Re-shaped array looks as recognizable (without spaces between ASICs) cspad2x2 image. Array shapes "as data" looks as an overlap of two images.
See Module CSPadPixCoords::CSPad2x2NDArrReshape
JIRA issue:
| Jira | ||||
|---|---|---|---|---|
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Example for module CSPadPixCoords::CSPad2x2ImageProducer
See Module CSPadPixCoords::CSPad2x2ImageProducer
Example of the configuration script for psana (cspad2x2-test.cfg):
| Code Block | ||
|---|---|---|
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Example for package ImgPixSpectra
Modules:
- ImgPixSpectra::CSPadPixSpectra
- ImgPixSpectra::MiniCSPadPixSpectra
- ImgPixSpectra::CameraPixSpectra
Configuration file example for MiniCSPadPixSpectra:
| Code Block | ||
|---|---|---|
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[psana] files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name>name-1>.xtc events = 5 modules = CSPadPixCoords.CSPad2x2ImageProducer ImgPixSpectraImgAlgos.MiniCSPadPixSpectraImgSaveInFile [ImgPixSpectraCSPadPixCoords.MiniCSPadPixSpectraCSPad2x2ImageProducer] source = CxiSc1.0DetInfo(:Cspad2x2.0 amin ) inkey = outimgkey = Image tiltIsApplied = true print_bits 500. amax = 15 [ImgAlgos.ImgSaveInFile] source = DetInfo(:Cspad2x2) key = 1000.Image nbinsfname = cspad2x2 saveAll 100 arr_fname = mini-cspad-pix-spectra.txt |
To get images from saved file one may execute the auxiliary script:
| Code Block | ||
|---|---|---|
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ImgPixSpectra/data/PlotSpectralArrayFromFile.py mini-cspad-pix-spectra.txt
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generates image for limited range of pixels for CSPad, MiniCSPad, or Camera, respectively:
Examples for package ImgAlgos
See Package ImgAlgos
Example for module ImgAlgos::Tahometer
See Module ImgAlgos::Tahometer
Example of the psana configuration file:
true
#eventSave = 5
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Command to run:
psana -c cspad2x2-test.cfg
One of the saved files cspad2x2-<run>-<timestamp>.txt is plotted as an image by the command
./PlotCameraImageFromFile.py cspad2x2-<run>-<timestamp>.txt 0 1200
Configuration file for cspad2x2 with pedestal subtraction
| Note |
|---|
Access to the CSPad2x2 aligned geometry is added on 2013-02-13 |
Example of <psana-config-file.cfg>:
| Code Block | ||
|---|---|---|
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[psana]
files | ||
| Code Block | ||
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[psana] files = /reg/d/psdm/<INSTRUMENT>mec/<experiment>mec73313/xtc/<filee268-r0180-names02-1>c00.xtc\ #calib-dir = ./calib modules = cspad_mod.CsPadCalib CSPadPixCoords.CSPad2x2ImageProducer ImgAlgos.ImgSaveInFile events = 5 [cspad_mod.CsPadCalib] source /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-2>.xtc modules = DetInfo(MecTargetChamber.0:Cspad2x2.3) inputKey = ImgAlgos.Tahometer [ImgAlgos.Tahometer] dn outputKey = calibrated_arr doPedestals = yes doPixelStatus = 10 print_bitsno doCommonMode = 7 |
Example for module ImgAlgos::PnccdImageProducer
See Module ImgAlgos::PnccdImageProducer
Example of the psana configuration file:
| Code Block | ||
|---|---|---|
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[psana]no [CSPadPixCoords.CSPad2x2ImageProducer] calibDir = /reg/d/psdm/mec/mec73313/calib typeGroupName = CsPad2x2::CalibV1 #source = DetInfo(MecTargetChamber.0:Cspad2x2.3) source = :Cspad2x2.3 inkey = calibrated_arr outimgkey = Image tiltIsApplied = true print_bits = 15 [ImgAlgos.ImgSaveInFile] source = filesDetInfo(MecTargetChamber.0:Cspad2x2.3) key = /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-1>.xtc\ Image fname = cspad2x2.3 saveAll /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-2>.xtc #skip-events = 100 events = true print_bits = 3 #eventSave = 5 modules = ImgAlgos.PnccdImageProducer ImgAlgos.ImgSaveInFile [ImgAlgos.PnccdImageProducer] source5 |
Example of psana configuration file to get cspad2x2 images for two detectors and save them in files, one in txt, another in tiff formats:
| Code Block | ||
|---|---|---|
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[psana] files = /reg/d/psdm/xpp/xpptut13/xtc/e308-r0008-s02-c00.xtc \ = DetInfo(:pnCCD) inkey = outimgkey = imgpnccd print_bits = 1 [ImgAlgos.ImgSaveInFile] source/reg/d/psdm/xpp/xpptut13/xtc/e308-r0008-s03-c00.xtc #modules = cspad_mod.CsPad2x2Pedestals #calib-dir = ./calib calib-dir = /reg/d/psdm/xpp/xpptut13/xtc/calib modules = cspad_mod.CsPadCalib:0 \ = DetInfo(:pnCCD) key cspad_mod.CsPadCalib:1 \ = imgpnccd fnameCSPadPixCoords.CSPad2x2ImageProducer:0 \ = pnccd-img-ev saveAllCSPadPixCoords.CSPad2x2ImageProducer:1 \ = true #eventSave ImgAlgos.ImgSaveInFile:0 \ ImgAlgos.ImgSaveInFile:1 events = 825 print_bits[cspad_mod.CsPadCalib:0] source = 1 |
This script saves text files with images like pnccd-img-ev-<run-date-time.nsec>.txt, which can be presented as:
Example for module ImgAlgos::CameraImageProducer
See Module ImgAlgos::CameraImageProducer
Example of the psana configuration file:
| Code Block | ||
|---|---|---|
| ||
[psana]DetInfo(XppGon.0:Cspad2x2.0) inputKey = outputKey = calibrated_arr0 doPedestals = yes doPixelStatus = no doCommonMode = yes [cspad_mod.CsPadCalib:1] source = DetInfo(XppGon.0:Cspad2x2.1) inputKey = outputKey = calibrated_arr1 doPedestals = yes doPixelStatus = no doCommonMode files= yes [CSPadPixCoords.CSPad2x2ImageProducer:0] calibDir = /reg/d/psdm/<INSTRUMENT>xpp/<experiment>xpptut13/xtc/<file-name-1>.xtc modules calib typeGroupName = ImgAlgos.CameraImageProducer ImgAlgos.ImgSaveInFile eventsCsPad2x2::CalibV1 source = 5 [ImgAlgos.CameraImageProducer] sourceDetInfo(XppGon.0:Cspad2x2.0) inkey = DetInfo(:Opal1000) key_in calibrated_arr0 outimgkey = Image key_outtiltIsApplied = imgfalse subtract_offsetuseWidePixCenter = truefalse print_bits = 15 [ImgAlgosCSPadPixCoords.ImgSaveInFileCSPad2x2ImageProducer:1] sourcecalibDir = DetInfo(:Opal1000) key/reg/d/psdm/xpp/xpptut13/xtc/calib typeGroupName = CsPad2x2::CalibV1 source = img fname = DetInfo(XppGon.0:Cspad2x2.1) inkey = img-from-my-experiment saveAll = true #eventSavecalibrated_arr1 outimgkey = 1 |
This script saves text files with images like img-from-my-experiment-<run-date-time.nsec>.txt, which can be drawn by the python script
./ImgAlgos/data/PlotCameraImageFromFile.py <filename>.txt <Amin> <Amax>
Example for module ImgAlgos::PrincetonImageProducer
See Module ImgAlgos::PrincetonImageProducer
Example of the psana configuration file:
| Code Block | ||
|---|---|---|
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[psana] = Image tiltIsApplied = false useWidePixCenter = false print_bits = 15 [ImgAlgos.ImgSaveInFile:0] source = DetInfo(:Cspad2x2.0) key = Image fname = cspad2x2.0 ftype = txt #ftype = tiff filessaveAll = /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-1>.xtc\ = true print_bits = 3 #eventSave = 5 [ImgAlgos.ImgSaveInFile:1] source /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-2>.xtc modules = ImgAlgos.PrincetonImageProducer \ DetInfo(:Cspad2x2.1) key ImgAlgos.ImgSaveInFile events= Image fname = 3 [ImgAlgos.PrincetonImageProducer] sourcecspad2x2.1 #ftype = DetInfo(:Princeton) key_intxt ftype = tiff key_outsaveAll = img subtract_offset = true print_bits = 31 [ImgAlgos.ImgSaveInFile] source 3 #eventSave = DetInfo(:Princeton) key = img fname = img-xcs saveAll = true print_bits = 31 |
Example for module ImgAlgos::ImgAverage
See Module ImgAlgos::ImgAverage
5
|
Example for package ImgPixSpectra
Modules:
- ImgPixSpectra::CSPadPixSpectra
- ImgPixSpectra::CSPad2x2PixSpectra
- ImgPixSpectra::CameraPixSpectra
Example for module ImgPixSpectra::CSPadPixSpectra
See module description in Module ImgPixSpectra::CSPadPixSpectra
Configuration file psana-cxib2313-r0114-cspad-pix-spectra.cfgThe ImgAverage module can be used for evaluation of averaged pedestals or background using dedicated runs. Typical configuration file may looks like this:
| Code Block | ||
|---|---|---|
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[psana]# Command to run this script: # psana -c psana-cxib2313-r0114-cspad-pix-spectra.cfg # # Other useful commands: # psana -n 5 -m PrintSeparator,PrintEventId,psana_examples.DumpCsPad /reg/d/psdm/cxi/cxib2313/xtc/e336-r0114* # psana -n 5 -m EventKeys exp=cxib2313:run=114:xtc [psana] files = exp=cxib2313:run=114:xtc #calib-dir = ./calib skip-events = 0 events = 100 modules = cspad_mod.CsPadCalib ImgPixSpectra.CSPadPixSpectra [cspad_mod.CsPadCalib] source = filesDetInfo(CxiDs1.0:Cspad.0) inputKey = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name>.xtc modules = ImgAlgos.CameraImageProducer \ outputKey = calibrated doPedestals = ImgAlgos.ImgAverageyes eventsdoPixelStatus = 1000no doCommonMode = yes [ImgAlgosImgPixSpectra.CameraImageProducerCSPadPixSpectra] source = DetInfo(:Opal1000) key_in CxiDs1.0:Cspad.0 inputKey = calibrated key_outamin = img subtract_offset = true print_bits = 1 [ImgAlgos.ImgAverage] source-20. amax = DetInfo(:Opal1000) key = img avefile20. nbins = img-ave.dat rmsfile = img-rms.dat print_bits 10 arr_fname = 31 evts_stage1 = 100 evts_stage2 = 100 gate_width1 = 200 gate_width2 = 20 |
Example for module ImgAlgos::ImgMaskEvaluation
See Module ImgAlgos::ImgMaskEvaluation
...
cspad_spectral_array.txt
|
where module cspad_mod.CsPadCalib subtracts pedestals, apply common mode correction, and save CSPAD array in the event store with key "calibrated", which is used in the next module ImgPixSpectra.CSPadPixSpectra.
To run this script use command
psana -c psana-cxib2313-r0114-cspad-pix-spectra.cfg
which produces two files:
cspad_spectral_array.txt– array of 10-bin amplitude spectra for all pixelscspad_spectral_array.txt.sha– file with metadata for array shape:Code Block bgColor
...
#AAFFFF NPIXELS 2296960 NBINS 10 AMIN
...
-20 AMAX 20 NEVENTS 100 ARRFNAME cspad_spectral_array.txt
Plot for content of the file cspad_spectral_array.txt:
Example for module ImgPixSpectra::CSPad2x2PixSpectra
See module description in Module ImgPixSpectra::CSPad2x2PixSpectra
Configuration file example for CSPad2x2PixSpectra:
| Code Block | ||
|---|---|---|
| ||
[psana] files = /reg/d/psdm/<instrument>/<experiment>/<file-name>.xtc modules = ImgPixSpectra.CSPad2x2PixSpectra [ImgPixSpectra.CSPad2x2PixSpectra] source = img file_mask_satu = img-mask-satu.dat file_mask_nois = img-mask-nois.dat file_mask_comb = img-mask-comb.dat file_frac_satu = img-frac-satu.dat file_frac_nois = img-frac-nois.dat thre_satu = 400 frac_satu = 0 dr = 1 thre_SoNCxiSc1.0:Cspad2x2.0 amin = 3 frac_nois500. amax = 0.05 print_bits1000. nbins = 100 arr_fname = 63 |
| Note |
|---|
In this example parameters were chosen in order to get a small number of "noisy" pixel just due to statistics. |
Typical image:
Plots for fraction of noisy pixels:
Plots for fraction of saturated pixels:
Masks: noisy, saturated, and combined:
cspad2x2-pix-spectra.txt
|
To get images from saved file one may execute the auxiliary script:
| Code Block | ||
|---|---|---|
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ImgPixSpectra/data/PlotSpectralArrayFromFile.py cspad2x2-pix-spectra.txt
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generates image for limited range of pixels for CSPad, CSPad2x2, or Camera, respectively:
Examples for package ImgAlgos
See Package ImgAlgos
Example for module ImgAlgos::
...
Tahometer
See Module ImgAlgos::ImgCalib:Tahometer
Example of the psana configuration file:
| Code Block | ||
|---|---|---|
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[ImgAlgos.CameraImageProducerpsana] source = DetInfo(:Opal1000) key_in files = key_out/reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-1>.xtc\ = img subtract_offset = true print_bits /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-2>.xtc modules = 1ImgAlgos.Tahometer [ImgAlgos.ImgCalibTahometer] source dn = 10 print_bits = 7 |
Example for module ImgAlgos::EpixNDArrProducer
See Module ImgAlgos::EpixNDArrProducer
Example of the psana configuration file:
| Code Block |
|---|
[psana] filesDetInfo(:Opal1000) key_in = img key_outexp=xppi0414:run=94 events = calibrated fname_peds100 modules = <pedestal-file-name> fname_mask ImgAlgos.EpixNDArrProducer \ = <mask-file-name> fname_bkgd = fname_gainImgAlgos.NDArrAverage [ImgAlgos.EpixNDArrProducer] source = DetInfo(:Epix10k) key_in = key_out = epix-nda outtype = float print_bits = 255 [ImgAlgos.NDArrAverage] source = print_bitsDetInfo(:Epix10k) key = 31 |
Example of the mask file and resulting image:
epix-nda
avefile = epix-ave
print_bits = 29 |
EpixNDArrProducer gets Epix10k ndarray from data and saves it in the events store with possible type conversion. Then NDArrAverage averages this ndarray over requested number of events (100) and saves it in file.
Example for module ImgAlgos::
...
PnccdImageProducer
See Module ImgAlgos::ImgRadialCorrectionPnccdImageProducer
Example of the psana configuration file:
| Code Block | ||
|---|---|---|
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[psana] files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-1>.xtc \ /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-2>.xtc \ ... /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-N>.xtc skip-events = 500 events = 10 modules = cspad_mod.CsPadCalib \ # ImgAlgos.CSPadBkgdSubtract \ files CSPadPixCoords.CSPadImageProducer \ = /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-1>.xtc\ ImgAlgos.ImgRadialCorrection \ /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-2>.xtc #skip-events = 100 events = 5 modules = ImgAlgos.PnccdImageProducer ImgAlgos.ImgSaveInFile:1 [cspad_modImgAlgos.CsPadCalibPnccdImageProducer] inputKeysource = outputKeyDetInfo(:pnCCD) inkey = outimgkey calibrated doPedestals = yesimgpnccd doPixelStatusprint_bits = no doCommonMode = no1 [ImgAlgos.CSPadBkgdSubtractImgSaveInFile] source = DetInfo(CxiDs1.0:Cspad.0:pnCCD) inputKeykey = calibrated outputKey = bkgd_subtracted_arr bkgd_fname = <the-file-name-with-background-array> norm_sectorimgpnccd fname = 0 print_bits = 0 [CSPadPixCoords.CSPadImageProducer] calibDirpnccd-img-ev saveAll = /reg/d/psdm/<instrument>/<experiment>/calib typeGroupName = CsPad::CalibV1 sourcetrue #eventSave = CxiDs1.0:Cspad.0 key 82 print_bits = calibrated imgkey = current_img #tiltIsApplied = true [ImgAlgos.ImgRadialCorrection] source = DetInfo(CxiDs1.0:Cspad.0) inkey1 |
This script saves text files with images like pnccd-img-ev-<run-date-time.nsec>.txt, which can be presented as:
Advanced example for PnccdImageProducer;
- get pnccd ndarray from data,
- calibrate ndarray (subtract pedestals, common mode, remove pixels with bad status),
- produce image with two gaps from calibrated ndarray,
- average image for 10 events:
| Code Block |
|---|
[psana] = current_img outkey = r_cor_img xcenter = 866 ycenter = 857 rmin = 100 rmax = 810 n_phi_bins = 60 event#calib-dir = /reg/d/psdm/SXR/sxrb5914/calib files = 0 print_bits = 3 [ImgAlgos.ImgSaveInFile:1] source= exp=sxrb5914:run=245 events = 10 modules = ImgAlgos.Tahometer \ = CxiDs1.0:Cspad.0 keyImgAlgos.PnccdNDArrProducer \ ImgAlgos.NDArrCalib \ = r_cor_img fnameImgAlgos.PnccdImageProducer \ = <file-name-for-image-array> #saveAll ImgAlgos.NDArrAverage [ImgAlgos.Tahometer] dn = true100 eventSaveprint_bits = 7 [ImgAlgos.PnccdNDArrProducer] source = 8 |
Note: the option of the background subtraction (ImgAlgos.CSPadBkgdSubtract) is commented out in this configuration file . In order to evoke this option, the comment sign (#) should be removed from the list of modules and the key=bkgd_subtracted_arr should be used in CSPadPixCoords.CSPadImageProducer.
Calibrated image and spectrum:
Calibrated and radial-corrected image, spectrum, and subtracted r-phi65 distribution for n_phi_bins=65:
Calibrated and radial-corrected image, spectrum, and subtracted r-phi12 distribution for n_phi_bins=12:
Example for module ImgAlgos::ImgPeakFinder
See Module ImgAlgos::ImgPeakFinder
Configuration file example:
| Code Block | ||
|---|---|---|
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[psana] DetInfo(Camp.0:pnCCD.1) key_in = key_out = pnccd-ndarr outtype = asdata print_bits = 0 [ImgAlgos.NDArrCalib] source = DetInfo(Camp.0:pnCCD.1) key_in = pnccd-ndarr key_out = calibrated do_peds = yes do_cmod = yes do_stat = yes do_mask = no do_bkgd = no do_gain = no do_nrms = no do_thre = no #fname_mask = pnccd-test-mask.txt #fname_bkgd = pnccd-test-bkgd.txt masked_value = 0 threshold_nrms = 4.0 threshold = 100 below_thre_value = files 0 bkgd_ind_min = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-1>.xtc \ 10000 bkgd_ind_max = 10200 bkgd_ind_inc = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-2>.xtc \ 1 print_bits = 1 [ImgAlgos.PnccdImageProducer] source = DetInfo(Camp.0:pnCCD..1) inkey = calibrated outimgkey /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-N>.xtc modules= pnccd-img gap_rows = ImgAlgos.ImgPeakFinder PrintSeparator #skip-events= 0 gap_cols = 500 events16 gap_value = 0 print_bits = 1201 [ImgAlgos.ImgPeakFinderNDArrAverage] source = DetInfo(:Opal1000Camp.0:pnCCD.1) key = pnccd-img peaksKeyavefile = peaks threshold_lowpnccd-ave rmsfile = 20 threshold_high = 50 sigmapnccd-rms #maskfile = pnccd-msk #hotpixfile = pnccd-hot thr_rms_ADU = 160 thr_min_ADU = 2 thr_max_ADU = 10000 print_bits = 29 |
Example for module ImgAlgos::CameraImageProducer
See Module ImgAlgos::CameraImageProducer
Example of the psana configuration file:
| Code Block | ||
|---|---|---|
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[psana] 1.5 smear_radius = 2 peak_radius = 3 xmin = 200 xmax = 800 ymin = 100 ymax = 900 testEvent files = 115 print_bits /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-1>.xtc modules = 0 finderIsOnImgAlgos.CameraImageProducer ImgAlgos.ImgSaveInFile events = true |
- This algorithm consumes ~15 ms/event on psana0101 for full Opal1000 (1024x1024) camera image.
- Smearing algorithm use a "safety margin" which is currently set to 10 pixels (offset from each boarder of the full image size).
Image on different stages of this algorithm:
- raw image,
- image in the window with amplitudes above the
threshold_low- few peaks at the edges were discarded by the window limits,
- image still contains many 1-photon pixels, which need to be eliminated,
- smeared image,
- raw image with found peaks (marked by the red circles)
- zoom of the previous plot.
Example for module ImgAlgos::ImgPeakFilter
| Code Block | ||
|---|---|---|
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[ImgAlgos.ImgPeakFilter] source5 [ImgAlgos.CameraImageProducer] source = DetInfo(:Opal1000) key_in = peaks thresholdkey_peakout = 5 threshold_total= 0 n_peaks_min = 10img printsubtract_bits offset = 11true fnameprint_bits = img selection_mode = SELECTION_ON |
Example for module ImgAlgos::ImgPeakFinderAB
See Module ImgAlgos::ImgPeakFinderAB
Configuration file example:
| Code Block | ||
|---|---|---|
| ||
[psana]15 [ImgAlgos.ImgSaveInFile] source = DetInfo(:Opal1000) key = img fname = img-from-my-experiment saveAll = true #eventSave = 1 |
This script saves text files with images like img-from-my-experiment-<run-date-time.nsec>.txt, which can be drawn by the python script
./ImgAlgos/data/PlotCameraImageFromFile.py <filename>.txt <Amin> <Amax>
Example for module ImgAlgos::PrincetonImageProducer
See Module ImgAlgos::PrincetonImageProducer
Example of the psana configuration file:
| Code Block | ||
|---|---|---|
| ||
[psana] files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name>.xtc modules = ImgAlgos.CameraImageProducer \ ImgAlgos.ImgPeakFinderAB events = 10 [ImgAlgos.CameraImageProducer] source = DetInfo(:Opal1000) key_in = key_out = img subtract_offset = true print_bits = 1 [ImgAlgos.ImgPeakFinderAB] source = DetInfo(:Opal1000) key files = /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-1>.xtc\ = img key_peaks_out = peaks #key_signal_out/reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/<file-name-2>.xtc modules = signal-arr #hot_pix_mask_inp_file = ana-misc-exp/mask.dat #hot_pix_mask_out_file = noise-mask-out.dat #frac_noisy_evts_file = noise-frac-out.dat evt_file_outImgAlgos.PrincetonImageProducer \ = tmp/img- rmin ImgAlgos.ImgSaveInFile events = 3 [ImgAlgos.PrincetonImageProducer] source = 10 dr = DetInfo(:Princeton) key_in = 1 SoNThrkey_noiseout = 3 SoNThr_signal = 3 frac_noisy_imgsimg subtract_offset = true print_bits = 0.9 peak_npix_min31 [ImgAlgos.ImgSaveInFile] source = DetInfo(:Princeton) key 3 peak_npix_max = 100 peak_amp_tot_thrimg fname = 0. peak_SoN_thr = 4. event_npeak_min= img-xcs saveAll = 5 event_npeak_maxtrue print_bits = 1000 event_amp_tot_thr = 0. nevents_mask_update = 0 nevents_mask_accum = 50 selection_mode = SELECTION_ON out_file_bits = 15 print_bits = 513 |
Results:
Example for module ImgAlgos::ImgHitFinder
See Module ImgAlgos::ImgHitFinder
ImgHitFinder in regular mode needs in file with pedestals (offset) to correct the image and file with threshold.
In amo74213 run 93 these files can be obtained directly from data, discarding signal hits as outliers using
ImgAlgos.ImgAverage module as follows with configuration file:
31
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Example for module ImgAlgos::AcqirisArrProducer
See description of parameters in Module ImgAlgos::AcqirisArrProducer
Example of the psana configuration file psana-amo01509-r0125-acqiris.cfg :
| Code Block | ||
|---|---|---|
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# Command to run this script:
# psana -c psana-amo01509-r0125-acqiris.cfg;
#
# Useful commands:
# psana -n 5 -m EventKeys exp=amo01509:run=125:xtc > test-acqiris-file.txt;
# psana -n 5 -m psana_examples.DumpAcqiris exp=amo01509:run=125:xtc > test-acqiris-file.txt; (C++ version)
# psana -n 1 -m psana_examples.dump_acqiris exp=amo01509:run=125:xtc > test-acqiris-file.txt; (python version) | ||
| Code Block | ||
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# File: psana-amo74213-r0093-opal-img-average.cfg [psana] #files = /reg/d/psdm/AMO/amo74213amo01509/xtc/e269-r0093-s05e8-r0125-s00-c00.xtc /reg/d/psdm/AMO/amo01509/xtc/e8-r0125-s01-c00.xtc files = exp=amo74213amo01509:run=93125:xtc modules = ImgAlgos.CameraImageProducer \ ImgAlgos.ImgAverageAcqirisArrProducer ImgAlgos.ImgSaveInFile:wf ImgAlgos.ImgSaveInFile:wt skip-events = 0 events = 1000100 [ImgAlgos.CameraImageProducerAcqirisArrProducer] source = DetInfo(:Opal1000)AmoETOF.0:Acqiris.0 key_in = key_outwform = acqiris_wform key_wtime = imgacqiris_wtime subtractfname_offsetprefix = trueacq print_bits = 111 [ImgAlgos.ImgAverageImgSaveInFile:wf] source = DetInfo(:Opal1000)AmoETOF.0:Acqiris.0 key = img avefileacqiris_wform fname = imgacq-aveAmoETOF-for-peds rmsfilewform ftype = img-rms-for-thre evts_stage1txt #ftype = 100 evts_stage2 = 100 gate_width1tiff #saveAll = 50true gateprint_width2bits = 103 print_bitseventSave = 31 |
Run psana using command:
| Code Block | ||
|---|---|---|
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psana -c psana-amo74213-r0093-opal-img-average.cfg
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At the end of this procedure two files will be created:
- img-ave-for-peds-r0093.dat - may be used for pedestal subtraction:
- img-rms-for-thre-r0093.dat - may be used multiplied by number of rms as a threshold:
The file with accumulated pixel hits can be obtained using configuration file:
| Code Block | ||
|---|---|---|
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# File: psana-amo74213-r0093-opal-img-hit-finder.cfg [psana] #files = /reg/d/psdm/AMO/amo74213/xtc/e269-r0093-s05-c00.xtc files = exp=amo74213:run=93:xtc modules = ImgAlgos.CameraImageProducer \ 5 [ImgAlgos.ImgSaveInFile:wt] source = AmoETOF.0:Acqiris.0 key = acqiris_wtime fname = acq-AmoETOF-wtime ftype = txt #ftype ImgAlgos.ImgHitFinder= \tiff #saveAll ImgAlgos.ImgAverage skip-events = 0 events true print_bits = 1000 [ImgAlgos.CameraImageProducer] source3 eventSave = DetInfo(:Opal1000) key_in = key_out = img subtract_offset = true print_bits = 1 [ImgAlgos.ImgHitFinder] source = DetInfo(:Opal1000) key_in = img key_out = img_hits fname_peds = img-ave-for-peds-r0093.dat fname_mask = fname_gain = fname_thre = img-rms-for-thre-r0093.dat masked_value = 0 thre_mode = 3 #thre_mode = 2 thre_param = 5 thre_below_value = 0 thre_above_value = 1 win_row_min = 10 win_row_max = 1000 win_col_min = 10 win_col_max5 |
This script with psana does a few things:
- module AcqirisArrProducer gets Acqiris data objects from event store, adjusts trigger time corrections, and saves them back in the event store as uniform ndarrays<double,2> objects for waveforms and times
- two instances of the module ImgSaveInFile save arrays of waveforms and wave-times for locally counted event 5.
This script saves 3 text files:
acq-amo01509-r0125.txt-- with configuration parameters:Code Block Acqiris::ConfigV1: nbrBanks=1 channelMask=69905 nbrChannels=5 nbrConvertersPerChannel=4 horiz: sampInterval=2.5e-10 delayTime=0 nbrSegments=1 nbrSamples=10000 vert(0): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(1): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(2): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(3): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(4): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0- acq-AmoETOF-wform-r0125-20091018-182512.194787218.txt – with waveforms for 5th event
- acq-AmoETOF-wtime-r0125-20091018-182512.194787218.txt – with wave-times for 5th event
Arrays from these files can be plotted for all channels, shown by different colors:
| Anchor | ||||
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Example for module ImgAlgos::AcqirisAverage
See description of parameters in Module ImgAlgos::AcqirisAverage
Configuration file psana-amo01509-r0125-acqiris-average.cfg:
| Code Block | ||
|---|---|---|
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# Command to run this script: # psana -c psana-amo01509-r0125-acqiris-average.cfg; # # Useful commands: # psana -n 5 -m EventKeys exp=amo01509:run=125:xtc > test-acqiris-file.txt; # psana -n 5 -m psana_examples.DumpAcqiris exp=amo01509:run=125:xtc > test-acqiris-file.txt; (C++ version) # psana -n 1 -m psana_examples.dump_acqiris exp=amo01509:run=125:xtc > test-acqiris-file.txt; (python version) [psana] #files = /reg/d/psdm/AMO/amo01509/xtc/e8-r0125-s00-c00.xtc /reg/d/psdm/AMO/amo01509/xtc/e8-r0125-s01-c00.xtc files = exp=amo01509:run=125:xtc modules = ImgAlgos.AcqirisArrProducer ImgAlgos.AcqirisAverage skip-events = 0 events = 1000 print_bits = 39 [ImgAlgos.ImgAverageAcqirisArrProducer] source = DetInfo(:Opal1000)AmoETOF.0:Acqiris.0 key_in = key_wform = imgacqiris_hitswform sumfilekey_wtime = acqiris_wtime fname_prefix = img-sum-resultacq print_bits = 25 |
and run it by the command:
| Code Block | ||
|---|---|---|
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psana -c psana-amo74213-r0093-opal-img-hit-finder.cfg
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Which creates the file: img-sum-result-r0093.dat for thre_mode = 2 and thre_mode = 3, respectively:
Example for module ImgAlgos::ImgSpectra
See Module ImgAlgos::ImgSpectra
Configuration file for psana:
| Code Block | ||
|---|---|---|
| ||
[psana]3 [ImgAlgos.AcqirisAverage] source = AmoETOF.0:Acqiris.0 key_in = acqiris_wform key_ave = acqiris_average fname_ave_prefix = acq thresholds files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name>.xtc modules -0.005 -0.005 -0.005 -0.005 -0.005 is_positive_signal = ImgAlgos.CameraImageProducer \ no do_inverse_selection = yes #skip_events = 0 #proc_events ImgAlgos.ImgSpectra \ = 100 print_bits = 255 |
Psana with this script runs over 1000 events apply threshold-based selection algorithm and produces files:
acq-amo01509-r0125-config.txt -- with Acqiris configuration parameters:
Code Block Acqiris::ConfigV1: nbrBanks=1 channelMask=69905 nbrChannels=5 nbrConvertersPerChannel=4 horiz: sampInterval=2.5e-10 delayTime=0 nbrSegments=1 nbrSamples=10000 vert(0): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(1): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(2): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(3): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(4): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0- acq-amo01509-r0125-ave-wfs.txt with averaged array of waveforms, which were below threshold (averaging for baseline level):
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Example for module ImgAlgos::AcqirisCalib
See description of parameters in Module ImgAlgos::AcqirisCalib
Configuration file psana-amo01509-r0125-acqiris-calib.cfg:
| Code Block | ||
|---|---|---|
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# Command to run this script: # psana -c psana-amo01509-r0125-acqiris-calib.cfg; # # Useful commands: # psana -n 5 -m EventKeys exp=amo01509:run=125:xtc > test-acqiris-file.txt; # psana -n 5 -m psana_examples.DumpAcqiris exp=amo01509:run=125:xtc > test-acqiris-file.txt; (C++ version) # psana -n 1 -m psana_examples.dump_acqiris exp=amo01509:run=125:xtc > test-acqiris-file.txt; (python version) [psana] #files = /reg/d/psdm/AMO/amo01509/xtc/e8-r0125-s00-c00.xtc /reg/d/psdm/AMO/amo01509/xtc/e8-r0125-s01-c00.xtc files = exp=amo01509:run=125:xtc modules = ImgAlgos.AcqirisArrProducer ImgAlgos.AcqirisCalib ImgAlgos.ImgSaveInFile:wf_raw ImgAlgos.ImgSaveInFile:wf_calib skip-events = 0 events ImgAlgos.ImgSaveInFile:2 # ImgAlgos.ImgSaveInFile # psana_examples.DumpOpal1k \ events = 100 [ImgAlgos.CameraImageProducer] source = DetInfo(:Opal1000) key_in = key_out = img subtract_offset = true print_bits = 1 [ImgAlgos.ImgSpectra] source = DetInfo(:Opal1000) key_in = img key_out = spectra sig_band_rowc = 512. ref_band_rowc = 552. sig_band_tilt = 0. ref_band_tilt = 0. sig_band_width = 10 ref_band_width = 10 print_bits = 310 [ImgAlgos.ImgSpectraProcAcqirisArrProducer] source = DetInfo(:Opal1000)AmoETOF.0:Acqiris.0 key_in = spectra printkey_bits wform = 15 [ImgAlgos.ImgSaveInFile:2] sourceacqiris_wform key_wtime = DetInfo(:Opal1000) key= acqiris_wtime fname_prefix = acq print_bits = 1 [ImgAlgos.AcqirisCalib] source = AmoETOF.0:Acqiris.0 key_in = spectra fnameacqiris_wform key_out = specwf-xppi0412 saveAllcalibrated fname_base_line = true [ImgAlgos.ImgSaveInFile] sourceacq-amo01509-r0125-ave-wfs.txt #skip_events = DetInfo(:Opal1000) key0 #proc_events = img fname100 print_bits = img-xppi0412 saveAll255 [ImgAlgos.ImgSaveInFile:wf_raw] source = true |
This script can be used in order to produce text files with image and spectral array:
or graphics for several images:
Example for module ImgAlgos::ImgSpectraProc
See Module ImgAlgos::ImgSpectraProc
Configuration file for psana:
| Code Block | ||
|---|---|---|
| ||
[ImgAlgos.ImgSpectraProc] sourceAmoETOF.0:Acqiris.0 key = DetInfo(:Opal1000) key_inacqiris_wform fname = spectra print_bitsacq-AmoETOF-wform-raw ftype = 15 |
For each event it prints something similar to:
| Code Block | ||
|---|---|---|
| ||
[info:ImgAlgos.ImgSpectraProc] Spectral array shape =3, 1024 [info:ImgAlgos.ImgSpectraProc] Image spectra for run=0060 Evt=000100 Column:txt #ftype = tiff #saveAll 0 = true print_bits 100 = 3 eventSave 200 300 400 500 600 700 800 900 1000 Signal:= 5 [ImgAlgos.ImgSaveInFile:wf_calib] source 1211 4062 = 11150AmoETOF.0:Acqiris.0 key 17070 16406 12949 = wf-calibrated fname 7991 5168 3968 3542 3811 Refer.:= acq-AmoETOF-wform-calibrated ftype 933 3485 = txt #ftype 10425 17128 17791 13522= tiff #saveAll 8315 5000 = true print_bits 3390 2967 3193 Diff. := 3 eventSave 0.259 0.153 0.067 -0.003 -0.081 -0.043 -0.040 0.033 0.157 0.177 0.176 [info:ImgAlgos.ImgSpectraProc] Run=0060 Evt=000100 Time=20120507-125420.982421325 done... |
Example for module ImgAlgos::ImgSaveInFile
| Code Block | ||
|---|---|---|
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modules = ... ImgAlgos.ImgSaveInFile:1 ...
[ImgAlgos.ImgSaveInFile:1]
source = DetInfo(:Opal1000) # or CxiDs1.0:Cspad.0
key = img
fname = my-img
#ftype = txt
#ftype = bin
#ftype = png
ftype = tiff
#eventSave = 5
saveAll = true
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See Module ImgAlgos::ImgSaveInFile
Example for module ImgPeakFinder and ImgPeakFilter for CSPad
Module ImgAlgos::ImgPeakFinder works on image. In order to apply this algorithm to CSPad the image should be produced. In next example the image is produced using consequtive modules cspad_mod.CsPadCalib, ImgAlgos.CSPadMaskApply, and CSPadPixCoords.CSPadImageProducer:
= 5
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In this script the base-line level for all waveforms is loaded from file and is subtracted in module ImgAlgos.AcqirisCalib.
For example, the raw and calibrated waveforms for event 5 were saved in the files:
acq-AmoETOF-wform-raw-r0125-e00000005-20091018-182512.194787218.txtacq-AmoETOF-wform-calibrated-r0125-e00000005-20091018-182512.194787218.txt
which content is presented on plots:
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Example for module ImgAlgos::AcqirisCFD
See description of parameters in Module ImgAlgos::AcqirisCFD
Configuration file psana_cfd.cfg:
| Code Block | ||
|---|---|---|
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# Command to run this script:
# psana -c psana_cfd.cfg;
#
[psana]
modules = ImgAlgos.AcqirisArrProducer ImgAlgos.AcqirisCalib ImgAlgos.AcqirisCFD
files = /reg/d/psdm/AMO/amo01509/xtc/e8-r0125-s00-c00.xtc
[ImgAlgos.AcqirisArrProducer]
source = AmoETOF.0:Acqiris.0
key_in =
key_wform = acqiris_wform
key_wtime = acqiris_wtime
fname_prefix = acq
print_bits = 0
[ImgAlgos.AcqirisCalib]
source = AmoETOF.0:Acqiris.0
key_in = acqiris_wform
key_out = wf-calibrated
fname_base_line = acq--r0000-ave-wfs.txt
#skip_events = 0
#proc_events = 100
print_bits = 0
[ImgAlgos.AcqirisCFD]
source = AmoETOF.0:Acqiris.0
key_wform = wf-calibrated
baselines = 0.0 0.0 0.0 0.0 0.0
thresholds = -0.005 -0.005 -0.005 -0.005 -0.005
fractions = 0.5 0.5 0.5 0.5 0.5
deadtimes = 20.0e-9 20.0e-9 20.0e-9 20.0e-9 20.0e-9
leading_edges = 1 1 1 1 1 |
This script analyzes an AMO run where 5 acqiris channels were in use. It uses an AcqirisArrProducer to producer the list of waveforms/times for all channels. It then uses an AcqirisCalib module to do a baseline subtraction using a previously generated file of baselines act--r0000-ave-wfs.txt. Finally, a constant fraction discriminator algorithm is run on all the waveforms with user specified parameters. The edges calculated by AcqirisCFD are saved to the event as one ndarray<double,1> per channel, each with a (default) key "acqiris_edges_N" where N is the channel number. Channels where no edges were found are not saved to the event.
| Anchor | ||||
|---|---|---|---|---|
|
Example for combination of Acqiris modules
See description of parameters in Modules ImgAlgos::AcqirisArrProducer, AcqirisAverage, and AcqirisCalib
Configuration file psana-amo01509-r0125-acqiris-comb.cfg:
| Code Block | ||
|---|---|---|
# Command to run this script:
# psana -c psana-amo01509-r0125-acqiris-comb.cfg;
[psana]
files = exp=amo01509:run=125:xtc
modules = ImgAlgos.AcqirisArrProducer ImgAlgos.AcqirisAverage:bl ImgAlgos.AcqirisCalib ImgAlgos.AcqirisAverage:signal ImgAlgos.Tahometer
#skip-events = 0
events = 2010
[ImgAlgos.AcqirisArrProducer]
source | ||
| Code Block | ||
| ||
[psana] files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-1>.xtc \ ... /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-N>.xtc events = 1000 experiment = cxii0212 calib-dir = ana-cxii0212/calib modules = cspad_mod.CsPadCalib \ ImgAlgos.CSPadMaskApply \ CSPadPixCoords.CSPadImageProducer \ ImgAlgos.ImgPeakFinder \ ImgAlgos.ImgPeakFilter \ = ImgAlgosAmoETOF.ImgSaveInFile0:1 [cspad_mod.CsPadCalib] inputKeyAcqiris.0 key_in = outputKeykey_wform = calibrated doPedestalsacqiris_wform key_wtime = yes doPixelStatusacqiris_wtime fname_prefix = no doCommonModeacq print_bits = yes7 [ImgAlgos.CSPadMaskApplyAcqirisAverage:bl] source = DetInfo(CxiDs1AmoETOF.0:CspadAcqiris.0) inkeykey_in = calibrated outkeyacqiris_wform #key_ave = masked_arr mask_fname fname_ave_prefix = acq-bline thresholds = <your-local-directory>/<mask-file-name>.dat masked_amp = -0.005 0 print_bits -0.005 -0.005 -0.005 -0.005 is_positive_signal = 5no maskdo_controlinverse_bitsselection = 15 [CSPadPixCoords.CSPadImageProducer] calibDiryes skip_events = /reg/d/psdm/<instrument>/<experiment>/calib typeGroupName = CsPad::CalibV1 source0 proc_events = CxiDs1.0:Cspad.0 key1000 print_bits = masked_arr imgkey31 [ImgAlgos.AcqirisCalib] source = img print_bits = AmoETOF.0:Acqiris.0 #tiltIsAppliedkey_in = true [ImgAlgos.ImgPeakFinder] source = DetInfo(CxiDs1.0:Cspad.0) key = acqiris_wform key_out = wf-calibrated fname_base_line = img peaksKeyacq-bline skip_events = peaks1001 threshold_lowproc_events = 21000 threshold_highprint_bits = 5 sigma47 [ImgAlgos.AcqirisAverage:signal] source = 1.5 smear_radius = 5 peak_radius = 7 xminAmoETOF.0:Acqiris.0 key_in = wf-calibrated #key_ave = fname_ave_prefix = acq-signal thresholds = -0.01 -0.01 -0.01 -0.01 -0.01 is_positive_signal = no do_inverse_selection = no skip_events = 1001 proc_events = 1000 print_bits = 31 [ImgAlgos.Tahometer] print_bits = 7 |
This script works with psana as follows:
- for the 1st 1000 events averages waveforms below threshold and saves results in the file acq-bline-amo01509-r0125-ave-wfs.txt;
- for the next 1000 events subtracts baseline level and averages waveforms above thresholds and saves results in the file acq-signal-amo01509-r0125-ave-wfs.txt.
This script produces three files:
acq-amo01509-r0125-config.txt - with Acqris configuration parameters:
Code Block Acqiris::ConfigV1: nbrBanks=1 channelMask=69905 nbrChannels=5 nbrConvertersPerChannel=4 horiz: sampInterval=2.5e-10 delayTime=0 nbrSegments=1 nbrSamples=10000 vert(0): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(1): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(2): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(3): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0 vert(4): fullScale=0.1 slope=1.52588e-06 offset=0 coupling=3 bandwidth=0
- acq-bline-amo01509-r0125-ave-wfs.txt - contains baseline averaged arrays, which can be presented by full scale and zoomed plots:
- acq-signal-amo01509-r0125-ave-wfs.txt- contains signal averaged arrays, which can be presented by full scale and zoomed plots:
Example for module ImgAlgos::NDArrImageProducer
See Module ImgAlgos::NDArrImageProducer
Module ImgAlgos.NDArrImageProducer produces image from any detector-associated ndarray
Possible chain of modules:
- <Package>.<Detector>NDArrProducer
- ImgAlgos.NDArrCalib
- ImgAlgos.NDArrImageProducer
- ImgAlgos.NDArrAverage
Example of the configuration file for cspad
| Code Block |
|---|
[psana]
files = exp=cxii0114:run=227
events = 100
modules = ImgAlgos.Tahometer \
CSPadPixCoords.CSPadNDArrProducer \
ImgAlgos.NDArrCalib \
ImgAlgos.NDArrImageProducer \
ImgAlgos.NDArrAverage
[CSPadPixCoords.CSPadNDArrProducer]
source = DetInfo(CxiDs1.0:Cspad.0)
inkey =
outkey = cspad_ndarr
outtype = float
is_fullsize = yes
print_bits = 3
[ImgAlgos.NDArrCalib]
source = DetInfo(CxiDs1.0:Cspad.0)
key_in = cspad_ndarr
key_out = calibrated
do_peds = yes
do_cmod = yes
do_stat = yes
do_mask = no
do_bkgd = no
do_gain = no
do_nrms = no
do_thre = no
fname_mask =
fname_bkgd =
masked_value = -10
threshold_nrms = 4
threshold = 7
below_thre_value = 0
print_bits = 3
[ImgAlgos.NDArrImageProducer]
source = CxiDs1.0:Cspad.0
key_in = calibrated
key_out = cspad_img
#type_out = asinp
#type_out = float
#x0_off_pix = 50
#y0_off_pix = 50
print_bits = 255
#calibdir = /reg/neh/home/dubrovin/LCLS/CSPadAlignment-v01/calib-cxi-ds1-2014-03-19/calib
[ImgAlgos.NDArrAverage]
source = DetInfo(CxiDs1.0:Cspad.0)
key = cspad_img
avefile = cspad-img-ave
rmsfile = cspad-img-rms
#maskfile = cspad-img-msk
#hotpixfile = cspad-img-hot
thr_rms_ADU = 0
thr_min_ADU = 4
thr_max_ADU = 65000
print_bits = 29 |
Example of the configuration file for cspad2x2
| Code Block |
|---|
[psana]
# calib-dir = /reg/d/psdm/mec/meca1113/calib
#calib-dir = /reg/neh/home/dubrovin/LCLS/CSPad2x2Alignment/calib-cspad2x2-01-2013-02-13/calib
files = exp=meca1113:run=376
events = 10
#skip-events = 0
modules = CSPadPixCoords.CSPad2x2NDArrProducer \
ImgAlgos.NDArrImageProducer \
ImgAlgos.NDArrAverage
[CSPadPixCoords.CSPad2x2NDArrProducer]
source = MecTargetChamber.0:Cspad2x2.1
inkey =
outkey = cspad2x2_ndarr
outtype = int16
print_bits = 5
[ImgAlgos.NDArrImageProducer]
source = MecTargetChamber.0:Cspad2x2.1
key_in = cspad2x2_ndarr
key_out = cspad2x2_img
#type_out = asinp
#type_out = float
#x0_off_pix = 50
#y0_off_pix = 50
print_bits = 255
#oname = CSPAD2X2:V1
#oindex = 0
#pix_scale_size_um = 218.
#calibdir = /reg/neh/home/dubrovin/LCLS/CSPad2x2Alignment/calib-cspad2x2-01-2013-02-13/calib
#calibgroup = CsPad2x2::CalibV1
[ImgAlgos.NDArrAverage]
source = MecTargetChamber.0:Cspad2x2.1
#key = cspad2x2_ndarr
key = cspad2x2_img
avefile = arr-ave
rmsfile = arr-rms
maskfile = arr-msk
hotpixfile = arr-hot
thr_rms_ADU = 10
#thr_min_ADU = 2
#thr_max_ADU = 20000
print_bits = 255 |
Example for module ImgAlgos::NDArrAverage
- See Module ImgAlgos::NDArrAverage andModule CSPadPixCoords::CSPadNDArrProducer
The
NDArrAveragemodule in combination with CSPadNDArrProducer (or any other device NDArrProducer) can be used for evaluation of averaged pedestals or background using dedicated runs.
Typical configuration file may looks like this:No Format # Run this script: # psana -c psana-meca1113-r0045-cspad-cspad-dark-hotpix.cfg [psana] files = exp=meca1113:run=45 events = 400 #skip-events = 0 modules = CSPadPixCoords.CSPadNDArrProducer \ ImgAlgos.NDArrAverage \ ImgAlgos.Tahometer [CSPadPixCoords.CSPadNDArrProducer] source = MecTargetChamber.0:Cspad.0 inkey = outkey = cspad_ndarr outtype = int16 is_fullsize = yes print_bits = 3 [ImgAlgos.NDArrAverage] source = MecTargetChamber.0:Cspad.0 key = cspad_ndarr avefile = cspad.0-ave rmsfile = cspad.0-rms maskfile = cspad.0-msk hotpixfile = cspad.0-hot thr_rms_ADU = 10 thr_min_ADU = 4 thr_max_ADU = 10000 print_bits = 29 #evts_stage1 = 100 #gate_width1 = 500. #evts_stage2 = 200 #gate_width2 = 100. [ImgAlgos.Tahometer] dn = 100 print_bits = 7- Module
ImgAlgos.Tahometeris not required in this configuration file and is added for convenience to print timing statistics for this job. - Evaluation of average intensity in 2 or 3 stages using gate-based algorithms excludes out-layers in intensity spectra and makes average more stable and reliable. However, the gate width is not an universal parameter. In order to set this parameter one has to look at spectrum of averaged intensities for particular device. The same is valid for evaluation of hot/bad pixel masks. One has to plot spectra of averaged intensity and rms values. Averaged intensity and rms spectra for exp=meca1113:run=45 are shown on plots, respectively:
Then, one has to decide how to set parameters for NDArrAverage algorithms, for example, it is quite safe to use
- thr_rms_ADU = 10 – to discard very noisy pixels,
- thr_min_ADU = 4 – to discard presumably dead pixels with 0-intensity,
- thr_max_ADU = 10000 – to discard pixels with intensity significantly exceeding average value. To be on safe side for int16 data this parameter can be set to 216-4, where 4 in both cases is just a small arbitrary number for spare safety gap.
Example for module ImgAlgos::NDArrCalib
See Module ImgAlgos::NDArrCalib, Module ImgAlgos::NDArrAverageThe
NDArrCalibmodule in combination with any device NDArrProducer (for example PnccdNDArrProducer) can be used to apply intensity corrections to ndarray.
Typical configuration files are shown below.
Example of ImgAlgos::NDArrCalib for pnCCD
| Code Block |
|---|
[psana]
files = exp=amoa1214:run=7
#skip-events = 100
events = 5
modules = ImgAlgos.Tahometer \
ImgAlgos.PnccdNDArrProducer \
ImgAlgos.NDArrCalib \
ImgAlgos.PnccdImageProducer \
ImgAlgos.ImgSaveInFile
# ImgAlgos.NDArrAverage \
[ImgAlgos.PnccdNDArrProducer]
source = DetInfo(Camp.0:pnCCD.0)
key_in =
key_out = pnccd-ndarr
outtype = asdata
print_bits = 13
[ImgAlgos.NDArrCalib]
source = DetInfo(Camp.0:pnCCD.0)
key_in = pnccd-ndarr
key_out = calibrated
outtype = float
do_peds = yes
do_cmod = yes
do_stat = no
do_mask = no
do_bkgd = no
do_gain = no
do_nrms = no
do_thre = no
fname_mask =
fname_bkgd =
masked_value = 0
threshold_nrms = 3
threshold = 100
below_thre_value = 0
bkgd_ind_min = 0
bkgd_ind_max = 1000
bkgd_ind_inc = 10
print_bits = 255
[ImgAlgos.PnccdImageProducer]
source = DetInfo(Camp.0:pnCCD.0)
#inkey = pnccd-ndarr
inkey = calibrated
outimgkey = pnccd-img
gap_size = 20
gap_value = 0
print_bits = 1
[ImgAlgos.ImgSaveInFile]
source = DetInfo(Camp.0:pnCCD.0)
key = pnccd-img
fname = pnccd-img-from-arr
ftype = txt
saveAll = true
print_bits = 31
[ImgAlgos.Tahometer]
dn = 100
print_bits = 7 |
Example of ImgAlgos::NDArrCalib for CSPAD
| Code Block |
|---|
[psana]
files = exp=cxi83714:run=136
events = 100
modules = ImgAlgos.Tahometer \
CSPadPixCoords.CSPadNDArrProducer \
ImgAlgos.NDArrCalib \
ImgAlgos.NDArrAverage
[CSPadPixCoords.CSPadNDArrProducer]
source = DetInfo(CxiDs1.0:Cspad.0)
inkey =
outkey = cspad_ndarr
outtype = float
is_fullsize = yes
print_bits = 3
[ImgAlgos.NDArrCalib]
source = DetInfo(CxiDs1.0:Cspad.0)
key_in = cspad_ndarr
key_out = calibrated
outtype = double
do_peds = yes
do_cmod = yes
do_stat = yes
do_mask = no
do_bkgd = no
do_gain = no
do_nrms = no
do_thre = no
fname_mask =
fname_bkgd =
masked_value = -10
threshold_nrms = 4
threshold = 7
below_thre_value = 0
bkgd_ind_min = 0
bkgd_ind_max = 1000
bkgd_ind_inc = 10
print_bits = 3
[ImgAlgos.NDArrAverage]
source = DetInfo(CxiDs1.0:Cspad.0)
key = calibrated
avefile = cspad-ave
rmsfile = cspad-rms
#maskfile = cspad-msk
#hotpixfile = cspad-hot
thr_rms_ADU = 10
thr_min_ADU = 4
thr_max_ADU = 10000
print_bits = 29
[ImgAlgos.Tahometer]
dn = 10
print_bits = 7 |
For test purpose we use exp=cxi83714:run=136 and loop over 100 exents.
Case 1: raw, non-calibrated images
do_peds = no; 50-60 ms/event
plots for average and rms value distribution for all pixels
Case 2: images with subtracted pedestals and applied status mask
do_peds = yes; 60-70 ms/event
do_stat = yes
Case 3: The same as 2 with common mode subtracted
do_cmod = yes; 107-117 ms/event
Andy's algorithm for CSPAD common mode correction with minor adaptive modifications is applied with parameters:
/reg/d/psdm/cxi/cxi83714/calib/CsPad::CalibV1/CxiDs1.0:Cspad.0/common_mode/135-136.data
1 10 10 100 - algorithm mode, allowed peak mean, allowed peak rms, threshold on number of pixels in ADU bin.
Comparison with Andy's module cspad_mod.CsPadCalib for common mode correction of int16_t data
| Code Block |
|---|
[psana]
# Default calibration directory:
# calib-dir = /reg/d/psdm/mec/cxi83714/calib
# calib-dir = /reg/neh/home1/dubrovin/LCLS/CSPadAlignment-v01/calib-mec-2013-12-10/
files = exp=cxi83714:run=136
events = 100
#skip-events = 4000
modules = cspad_mod.CsPadCalib \
CSPadPixCoords.CSPadNDArrProducer \
ImgAlgos.NDArrAverage \
ImgAlgos.Tahometer
[cspad_mod.CsPadCalib]
inputKey =
outputKey = calibrated_data
doPedestals = yes
doPixelStatus = yes
doCommonMode = yes
[CSPadPixCoords.CSPadNDArrProducer]
source = DetInfo(CxiDs1.0:Cspad.0)
inkey = calibrated_data
outkey = cspad_ndarr
outtype = float
is_fullsize = yes
print_bits = 3
[ImgAlgos.NDArrAverage]
source = DetInfo(CxiDs1.0:Cspad.0)
key = cspad_ndarr
avefile = cspad-calib-ave
rmsfile = cspad-calib-rms
#maskfile = cspad-msk
#hotpixfile = cspad-hot
thr_rms_ADU = 10
thr_min_ADU = 4
thr_max_ADU = 10000
print_bits = 29
[ImgAlgos.Tahometer]
dn = 10
print_bits = 7 |
doPedestals = yes
doCommonMode = no; 100-110ms
doPedestals = yes
doPixelStatus = yes
doCommonMode = yes; 150-160ms
Conclusion:
Results of
ImgAlgos.NDArrCalibwell reproducecspad_mod.CsPadCalib- Common mode correction shrinks the width of averaged intensities from 0.60 to 0.54, and rms from 3.78 to 3.27.
- Algorithm is quite time expensive, it takes 30-40ms/event.
Example of ImgAlgos::NDArrCalib for Fccd960
- Calibration
To calibrate fccd960 for dark runs use command
calibman
For test purpose a couple of dark runs were processed and constants were deployed:
| Code Block |
|---|
Content of: /reg/d/psdm/XCS/xcsd7814/calib for detector: Fccd960
Camera::CalibV1
XcsEndstation.0:Fccd960.0
pixel_rms
12-13.data file is not used
78-81.data run range 0078 - 0081
pedestals
12-13.data file is not used
78-81.data run range 0078 - 0081
pixel_status
12-13.data file is not used
78-81.data run range 0078 - 0081 |
- Access data in psana
Example of the configuration file for psana psana-xcsd7814-r0079-fccd960-aver.cfg can be processed by the command
psana -c psana-xcsd7814-r0079-fccd960-aver.cfg
Two averaged images are saved in the text files for exp=xcsd7814:run=79 for raw and calibrated (subtracted dark level) data.
Gain bit coded gain factor 8 is applied automatically.
Example for module ImgAlgos::NDArrDropletFinder
See description in psana - Module Catalog and examples in Peak Finding Module
Example for module ImgAlgos::PixCoordsProducer
See Module ImgAlgos::PixCoordsProducer
Psana configuration file which produces enough data to get CSPAD calibrated intensity and coordinate arrays:
| Code Block |
|---|
[psana]
modules = ImgAlgos.PixCoordsProducer \
cspad_mod.CsPadCalib \
CSPadPixCoords.CSPadNDArrProducer
[ImgAlgos.PixCoordsProducer]
source = CxiDs1.0:Cspad.0
print_bits = 0
[cspad_mod.CsPadCalib]
source = CxiDs1.0:Cspad.0
inputKey =
outputKey = calibrated
doPedestals = yes
doPixelStatus = no
doCommonMode = no
[CSPadPixCoords.CSPadNDArrProducer]
source = CxiDs1.0:Cspad.0
inkey = calibrated
outkey = cspad_ndarr
outtype = int16
is_fullsize = yes
print_bits = 3 |
Additional keywors need to be added to the list of module parameters in order to evaluate pixel area and coordinate indexes (for image) arrays. For example:
| Code Block |
|---|
[ImgAlgos.PixCoordsProducer]
source = CxiDs1.0:Cspad.0
key_out_area = pix_area
key_out_mask = pix_mask
key_out_ix = pix_ix
key_out_iy = pix_iy
x0_off_pix = 1000
y0_off_pix = 1000
mask_bits = 15
print_bits = 255 |
In python code these arrays can be obtained with env.calibStore().get(...) method:
| Code Block |
|---|
env = ds.env()
cls = env.calibStore()
src = psana.Source('DetInfo(CxiDs1.0:Cspad.0)')
...
A = evt.get(psana.ndarray_int16_3, src, 'cspad_ndarr').flatten()
X = cls.get(psana.ndarray_float64_1, src, 'x-pix-coords')
Y = cls.get(psana.ndarray_float64_1, src, 'y-pix-coords')
Area = cls.get(psana.ndarray_float64_1, src, 'pix_area')
Mask = cls.get(psana.ndarray_int32_1, src, 'pix_mask')
iX = cls.get(psana.ndarray_uint32_1, src, 'pix_ix')
iY = cls.get(psana.ndarray_uint32_1, src, 'pix_iy')
fname= cls.get(str, src, 'geometry-fname')
// depricated method since ana-0.13.3:
path_nda = cls.get(psana.ndarray_uint8_1, src, 'geometry-calib')
path = ''.join(map(chr, path_nda)) if path_nda is not None else 'N/A' |
Their shape=(32*185*388,) = (2296960,)
These arrays can be processed by users' code directly. In particular, it is easy to conver them in 2-d image numpy array and plot it:
| Code Block |
|---|
import numpy as np
import matplotlib.pyplot as plt
from PSCalib.GeometryAccess import img_from_pixel_arrays
pix_size = 109.92
xmin, ymin = X.min()-pix_size/2, Y.min()-pix_size/2
iX, iY = np.array((X-xmin)/pix_size, dtype=np.uint), np.array((Y-ymin)/pix_size, dtype=np.uint)
img = img_from_pixel_arrays(iX,iY,W=A)
plt.imshow(img)
plt.draw() |
Example for module ImgAlgos::ImgAverage
- See Module ImgAlgos::ImgAverage
- The
ImgAveragemodule can be used for evaluation of averaged pedestals or background using dedicated runs. Typical configuration file may looks like this:
| Code Block | ||
|---|---|---|
| ||
[psana]
files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name>.xtc
modules = ImgAlgos.CameraImageProducer \
ImgAlgos.ImgAverage
events = 1000
[ImgAlgos.CameraImageProducer]
source = DetInfo(:Opal1000)
key_in =
key_out = img
subtract_offset = true
print_bits = 1
[ImgAlgos.ImgAverage]
source = DetInfo(:Opal1000)
key = img
avefile = img-ave.dat
rmsfile = img-rms.dat
print_bits = 31
evts_stage1 = 100
evts_stage2 = 100
gate_width1 = 200
gate_width2 = 20
|
Example for module ImgAlgos::ImgMaskEvaluation
- See Module ImgAlgos::ImgMaskEvaluation
- Configuration parameters for psana:
| Code Block | ||
|---|---|---|
| ||
[ImgAlgos.ImgMaskEvaluation]
source = DetInfo(:Opal1000)
key = img
file_mask_satu = img-mask-satu.dat
file_mask_nois = img-mask-nois.dat
file_mask_comb = img-mask-comb.dat
file_frac_satu = img-frac-satu.dat
file_frac_nois = img-frac-nois.dat
thre_satu = 400
frac_satu = 0
dr = 1
thre_SoN = 3
frac_nois = 0.05
print_bits = 63
|
| Note |
|---|
In this example parameters were chosen in order to get a small number of "noisy" pixel just due to statistics. |
Typical image:
Plots for fraction of noisy pixels:
Plots for fraction of saturated pixels:
Masks: noisy, saturated, and combined:
Example for module ImgAlgos::ImgCalib
| Code Block | ||
|---|---|---|
| ||
[ImgAlgos.CameraImageProducer]
source = DetInfo(:Opal1000)
key_in =
key_out = img
subtract_offset = true
print_bits = 1
[ImgAlgos.ImgCalib]
source = DetInfo(:Opal1000)
key_in = img
key_out = calibrated
fname_peds = <pedestal-file-name>
fname_mask = <mask-file-name>
fname_bkgd =
fname_gain =
print_bits = 31
|
Example of the mask file and resulting image:
Example for module ImgAlgos::ImgRadialCorrection
See Module ImgAlgos::ImgRadialCorrection
| Code Block | ||
|---|---|---|
| ||
[psana]
files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-1>.xtc \
/reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-2>.xtc \
...
/reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-N>.xtc
skip-events = 500
events = 10
modules = cspad_mod.CsPadCalib \
# ImgAlgos.CSPadBkgdSubtract \
CSPadPixCoords.CSPadImageProducer \
ImgAlgos.ImgRadialCorrection \
ImgAlgos.ImgSaveInFile:1
[cspad_mod.CsPadCalib]
inputKey =
outputKey = calibrated
doPedestals = yes
doPixelStatus = no
doCommonMode = no
[ImgAlgos.CSPadBkgdSubtract]
source = DetInfo(CxiDs1.0:Cspad.0)
inputKey = calibrated
outputKey = bkgd_subtracted_arr
bkgd_fname = <the-file-name-with-background-array>
norm_sector = 0
print_bits = 0
[CSPadPixCoords.CSPadImageProducer]
calibDir = /reg/d/psdm/<instrument>/<experiment>/calib
typeGroupName = CsPad::CalibV1
source = CxiDs1.0:Cspad.0
key = calibrated
imgkey = current_img
#tiltIsApplied = true
[ImgAlgos.ImgRadialCorrection]
source = DetInfo(CxiDs1.0:Cspad.0)
inkey = current_img
outkey = r_cor_img
xcenter = 866
ycenter = 857
rmin = 100
rmax = 810
n_phi_bins = 60
event = 0
print_bits = 3
[ImgAlgos.ImgSaveInFile:1]
source = CxiDs1.0:Cspad.0
key = r_cor_img
fname = <file-name-for-image-array>
#saveAll = true
eventSave = 8
|
Note: the option of the background subtraction (ImgAlgos.CSPadBkgdSubtract) is commented out in this configuration file . In order to evoke this option, the comment sign (#) should be removed from the list of modules and the key=bkgd_subtracted_arr should be used in CSPadPixCoords.CSPadImageProducer.
Calibrated image and spectrum:
Calibrated and radial-corrected image, spectrum, and subtracted r-phi65 distribution for n_phi_bins=65:
Calibrated and radial-corrected image, spectrum, and subtracted r-phi12 distribution for n_phi_bins=12:
Example for module ImgAlgos::ImgPeakFinder
See Module ImgAlgos::ImgPeakFinder
Configuration file example:
| Code Block | ||
|---|---|---|
| ||
[psana]
files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-1>.xtc \
/reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-2>.xtc \
...
/reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-N>.xtc
modules = ImgAlgos.ImgPeakFinder PrintSeparator
#skip-events = 500
events = 120
[ImgAlgos.ImgPeakFinder]
source = DetInfo(:Opal1000)
key =
peaksKey = peaks
threshold_low = 20
threshold_high = 50
sigma = 1.5
smear_radius = 2
peak_radius = 3
xmin = 200
xmax = 800
ymin = 100
ymax = 900
testEvent = 115
print_bits = 0
finderIsOn = true
|
This algorithm consumes ~15 ms/event on psana0101 for full Opal1000 (1024x1024) camera image.
Smearing algorithm use a "safety margin" which is currently set to 10 pixels (offset from each boarder of the full image size).
Image on different stages of this algorithm:
raw image,
image in the window with amplitudes above the threshold_low
- few peaks at the edges were discarded by the window limits,
- image still contains many 1-photon pixels, which need to be eliminated,
smeared image,
raw image with found peaks (marked by the red circles)
zoom of the previous plot.
Example for module ImgAlgos::ImgPeakFilter
| Code Block | ||
|---|---|---|
| ||
[ImgAlgos.ImgPeakFilter]
source = DetInfo(:Opal1000)
key = peaks
threshold_peak = 5
threshold_total= 0
n_peaks_min = 10
print_bits = 11
fname = img
selection_mode = SELECTION_ON
|
Example for module ImgAlgos::ImgPeakFinderAB
See Module ImgAlgos::ImgPeakFinderAB
Configuration file example:
| Code Block | ||
|---|---|---|
| ||
[psana]
files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name>.xtc
modules = ImgAlgos.CameraImageProducer \
ImgAlgos.ImgPeakFinderAB
events = 10
[ImgAlgos.CameraImageProducer]
source = DetInfo(:Opal1000)
key_in =
key_out = img
subtract_offset = true
print_bits = 1
[ImgAlgos.ImgPeakFinderAB]
source = DetInfo(:Opal1000)
key = img
key_peaks_out = peaks
#key_signal_out = signal-arr
#hot_pix_mask_inp_file = ana-misc-exp/mask.dat
#hot_pix_mask_out_file = noise-mask-out.dat
#frac_noisy_evts_file = noise-frac-out.dat
evt_file_out = tmp/img-
rmin = 10
dr = 1
SoNThr_noise = 3
SoNThr_signal = 3
frac_noisy_imgs = 0.9
peak_npix_min = 3
peak_npix_max = 100
peak_amp_tot_thr = 0.
peak_SoN_thr = 4.
event_npeak_min = 5
event_npeak_max = 1000
event_amp_tot_thr = 0.
nevents_mask_update = 0
nevents_mask_accum = 50
selection_mode = SELECTION_ON
out_file_bits = 15
print_bits = 513
|
Results:
Example for module ImgAlgos::ImgHitFinder
See Module ImgAlgos::ImgHitFinder
ImgHitFinder in regular mode needs in file with pedestals (offset) to correct the image and file with threshold.
In amo74213 run 93 these files can be obtained directly from data, discarding signal hits as outliers using
ImgAlgos.ImgAverage module as follows with configuration file:
| Code Block | ||
|---|---|---|
| ||
# File: psana-amo74213-r0093-opal-img-average.cfg
[psana]
#files = /reg/d/psdm/AMO/amo74213/xtc/e269-r0093-s05-c00.xtc
files = exp=amo74213:run=93:xtc
modules = ImgAlgos.CameraImageProducer \
ImgAlgos.ImgAverage
skip-events = 0
events = 1000
[ImgAlgos.CameraImageProducer]
source = DetInfo(:Opal1000)
key_in =
key_out = img
subtract_offset = true
print_bits = 1
[ImgAlgos.ImgAverage]
source = DetInfo(:Opal1000)
key = img
avefile = img-ave-for-peds
rmsfile = img-rms-for-thre
evts_stage1 = 100
evts_stage2 = 100
gate_width1 = 50
gate_width2 = 10
print_bits = 31
|
Run psana using command:
| Code Block | ||
|---|---|---|
| ||
psana -c psana-amo74213-r0093-opal-img-average.cfg
|
At the end of this procedure two files will be created:
img-ave-for-peds-r0093.dat - may be used for pedestal subtraction:
img-rms-for-thre-r0093.dat - may be used multiplied by number of rms as a threshold:
The file with accumulated pixel hits can be obtained using configuration file:
| Code Block | ||
|---|---|---|
| ||
# File: psana-amo74213-r0093-opal-img-hit-finder.cfg
[psana]
#files = /reg/d/psdm/AMO/amo74213/xtc/e269-r0093-s05-c00.xtc
files = exp=amo74213:run=93:xtc
modules = ImgAlgos.CameraImageProducer \
ImgAlgos.ImgHitFinder \
ImgAlgos.ImgAverage
skip-events = 0
events = 1000
[ImgAlgos.CameraImageProducer]
source = DetInfo(:Opal1000)
key_in =
key_out = img
subtract_offset = true
print_bits = 1
[ImgAlgos.ImgHitFinder]
source = DetInfo(:Opal1000)
key_in = img
key_out = img_hits
fname_peds = img-ave-for-peds-r0093.dat
fname_mask =
fname_gain =
fname_thre = img-rms-for-thre-r0093.dat
masked_value = 0
thre_mode = 3
#thre_mode = 2
thre_param = 5
thre_below_value = 0
thre_above_value = 1
win_row_min = 10
win_row_max = 1000
win_col_min = 10
win_col_max = 1000
print_bits = 39
[ImgAlgos.ImgAverage]
source = DetInfo(:Opal1000)
key = img_hits
sumfile = img-sum-result
print_bits = 25
|
and run it by the command:
| Code Block | ||
|---|---|---|
| ||
psana -c psana-amo74213-r0093-opal-img-hit-finder.cfg
|
Which creates the file: img-sum-result-r0093.dat for thre_mode = 2 and thre_mode = 3, respectively:
Example for module ImgAlgos::ImgSpectra
See Module ImgAlgos::ImgSpectra
Configuration file for psana:
| Code Block | ||
|---|---|---|
| ||
[psana]
files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name>.xtc
modules = ImgAlgos.CameraImageProducer \
ImgAlgos.ImgSpectra \
ImgAlgos.ImgSaveInFile:2
# ImgAlgos.ImgSaveInFile
# psana_examples.DumpOpal1k \
events = 100
[ImgAlgos.CameraImageProducer]
source = DetInfo(:Opal1000)
key_in =
key_out = img
subtract_offset = true
print_bits = 1
[ImgAlgos.ImgSpectra]
source = DetInfo(:Opal1000)
key_in = img
key_out = spectra
sig_band_rowc = 512.
ref_band_rowc = 552.
sig_band_tilt = 0.
ref_band_tilt = 0.
sig_band_width = 10
ref_band_width = 10
print_bits = 3
[ImgAlgos.ImgSpectraProc]
source = DetInfo(:Opal1000)
key_in = spectra
print_bits = 15
[ImgAlgos.ImgSaveInFile:2]
source = DetInfo(:Opal1000)
key = spectra
fname = spec-xppi0412
saveAll = true
[ImgAlgos.ImgSaveInFile]
source = DetInfo(:Opal1000)
key = img
fname = img-xppi0412
saveAll = true
|
This script can be used in order to produce text files with image and spectral array:
or graphics for several images:
Example for module ImgAlgos::ImgSpectraProc
See Module ImgAlgos::ImgSpectraProc
Configuration file for psana:
| Code Block | ||
|---|---|---|
| ||
[ImgAlgos.ImgSpectraProc]
source = DetInfo(:Opal1000)
key_in = spectra
print_bits = 15
|
For each event it prints something similar to:
| Code Block | ||
|---|---|---|
| ||
[info:ImgAlgos.ImgSpectraProc] Spectral array shape =3, 1024
[info:ImgAlgos.ImgSpectraProc] Image spectra for run=0060 Evt=000100
Column: 0 100 200 300 400 500 600 700 800 900 1000
Signal: 1211 4062 11150 17070 16406 12949 7991 5168 3968 3542 3811
Refer.: 933 3485 10425 17128 17791 13522 8315 5000 3390 2967 3193
Diff. : 0.259 0.153 0.067 -0.003 -0.081 -0.043 -0.040 0.033 0.157 0.177 0.176
[info:ImgAlgos.ImgSpectraProc] Run=0060 Evt=000100 Time=20120507-125420.982421325 done...
|
Example for module ImgAlgos::ImgSaveInFile
| Code Block | ||
|---|---|---|
| ||
modules = ... ImgAlgos.ImgSaveInFile:1 ...
[ImgAlgos.ImgSaveInFile:1]
source = DetInfo(:Opal1000) # or CxiDs1.0:Cspad.0
key = img
fname = my-img
#ftype = txt
#ftype = bin
#ftype = png
ftype = tiff
#eventSave = 5
saveAll = true
|
See Module ImgAlgos::ImgSaveInFile
Example for module ImgPeakFinder and ImgPeakFilter for CSPad
Module ImgAlgos::ImgPeakFinder works on image. In order to apply this algorithm to CSPad the image should be produced. In next example the image is produced using consequtive modules cspad_mod.CsPadCalib, ImgAlgos.CSPadMaskApply, and CSPadPixCoords.CSPadImageProducer:
| Code Block | ||
|---|---|---|
| ||
[psana]
files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-1>.xtc \
...
/reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-N>.xtc
events = 1000
experiment = cxii0212
calib-dir = ana-cxii0212/calib
modules = cspad_mod.CsPadCalib \
ImgAlgos.CSPadMaskApply \
CSPadPixCoords.CSPadImageProducer \
ImgAlgos.ImgPeakFinder \
ImgAlgos.ImgPeakFilter \
ImgAlgos.ImgSaveInFile:1
[cspad_mod.CsPadCalib]
inputKey =
outputKey = calibrated
doPedestals = yes
doPixelStatus = no
doCommonMode = yes
[ImgAlgos.CSPadMaskApply]
source = DetInfo(CxiDs1.0:Cspad.0)
inkey = calibrated
outkey = masked_arr
mask_fname = <your-local-directory>/<mask-file-name>.dat
masked_amp = 0
print_bits = 5
mask_control_bits = 15
[CSPadPixCoords.CSPadImageProducer]
calibDir = /reg/d/psdm/<instrument>/<experiment>/calib
typeGroupName = CsPad::CalibV1
source = CxiDs1.0:Cspad.0
key = masked_arr
imgkey = img
print_bits = 0
#tiltIsApplied = true
[ImgAlgos.ImgPeakFinder]
source = DetInfo(CxiDs1.0:Cspad.0)
key = img
peaksKey = peaks
threshold_low = 2
threshold_high = 5
sigma = 1.5
smear_radius = 5
peak_radius = 7
xmin = 20
xmax = 1700
ymin = 20
ymax = 1700
#testEvent = 5
print_bits = 3
#finderIsOn = true
[ImgAlgos.ImgPeakFilter]
source = DetInfo(CxiDs1.0:Cspad.0)
key = peaks
threshold_peak = 5
threshold_total= 0
n_peaks_min = 10
print_bits = 11
fname = cspad-img
selection_mode = SELECTION_ON
[ImgAlgos.ImgSaveInFile:1]
source = CxiDs1.0:Cspad.0
key = img
fname = cspad-img
#eventSave = 1
saveAll = true
|
Example for module ImgAlgos::CSPadArrAverage
See Module ImgAlgos::CSPadArrAverage
Configuration file example for evaluation of pedestals:
| Code Block | ||
|---|---|---|
| ||
[psana]
modules = ImgAlgos.CSPadArrAverage
files = <path-to-the-dark-run-file>.xtc
[ImgAlgos.CSPadArrAverage]
source = DetInfo(CxiDs1.0:Cspad.0)
key =
avefile = cspad-pedestals-ave.dat
rmsfile = cspad-pedestals-rms.dat
print_bits = 15
evts_stage1 = 100
evts_stage2 = 100
gate_width1 = 100
gate_width2 = 10
|
Configuration file example for evaluation of background:
| Code Block | ||
|---|---|---|
| ||
[psana]
files = <path-to-the-background-run-file>.xtc
modules = cspad_mod.CsPadCalib ImgAlgos.CSPadArrAverage
skip-events = 500
events = 1000000
[cspad_mod.CsPadCalib]
inputKey =
outputKey = calibrated
doPedestals = yes
doPixelStatus = no
doCommonMode = no
[ImgAlgos.CSPadArrAverage]
source = DetInfo(CxiDs1.0:Cspad.0)
key = calibrated
avefile = cspad-background-ave.dat
rmsfile = cspad-background-rms.dat
print_bits = 15
|
Images of the CSPad arrays for averaged and rms values, respectively, in one of the CXI runs:
Example for module ImgAlgos::CSPadBkgdSubtract
See Module ImgAlgos::CSPadBkgdSubtract
| Code Block | ||
|---|---|---|
| ||
[psana]
files = /reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-1>.xtc \
/reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-2>.xtc \
...
/reg/d/psdm/<instrument>/<experiment>/xtc/<file-name-N>.xtc
skip-events = 500
events = 10
modules = cspad_mod.CsPadCalib ImgAlgos.CSPadBkgdSubtract
[cspad_mod.CsPadCalib]
inputKey =
outputKey = calibrated
doPedestals = yes
doPixelStatus = no
doCommonMode = no
[ImgAlgos.CSPadBkgdSubtract]
source = DetInfo(CxiDs1.0:Cspad.0)
inputKey = calibrated
outputKey = bkgd_subtracted
bkgd_fname = <the-file-name-with-background-array>
norm_sector = 0
print_bits = 3
|
The file with the background array, bkgd_fname, was obtained by averaging 1000 events using module CSPadArrAverage. Subtraction is done with normalization for norm_sector=0.
Event image and pixel amplitude spectrum before and after the background subtraction are shown in plots:
Other event with better subtracted background:
Example for Module ImgAlgos::CSPadMaskApply
See Module ImgAlgos::CSPadMaskApply
The array for mask contains zeros and ones for masked and passed pixels, respectively, and has a shape of full-size CSPad array 4*8*185388.
For example, it can be generated by the command
| Code Block | ||
|---|---|---|
| ||
./MakePixelMask.py <input-background-cspad-arr-file-name> <threshold> <output-file-name>
|
for the averaged background amplitude array <input-background-cspad-arr-file-name> abtained as a result of ImgAlgos::CSPadArrAverage module.
Plots show the averaged background, and the mask arrays generated from this background for three thresholds 10, 20, and 30 EDU:
The best results in filtering can be achieved in combination of modiles:
| Code Block | ||
|---|---|---|
| ||
modules = cspad_mod.CsPadCalib \ = 20 xmaxImgAlgos.CSPadBkgdSubtract \ = 1700 yminImgAlgos.CSPadMaskApply \ = 20 ymax ... [cspad_mod.CsPadCalib] inputKey = 1700 #testEventoutputKey = 5 print_bitscalibrated_arr doPedestals = yes doPixelStatus = 3 #finderIsOn no doCommonMode = trueno [ImgAlgos.ImgPeakFilterCSPadBkgdSubtract] source = DetInfo(CxiDs1.0:Cspad.0) keyinputKey = peaks threshold_peak = 5 threshold_total= 0 n_peaks_mincalibrated_arr outputKey = 10 print_bitsbkgd_subtracted_arr bkgd_fname = 11 fname = ana-cxi49012/cspad-cxi49012-r0025-background-ave.dat norm_sector = 0 print_bits = cspad-img selection_mode = SELECTION_ON0 [ImgAlgos.ImgSaveInFile:1CSPadMaskApply] source = DetInfo(CxiDs1.0:Cspad.0) keyinkey = img fname bkgd_subtracted_arr outkey = cspad-img #eventSave = 1 saveAllmasked_arr mask_fname = true |
Example for module ImgAlgos::CSPadArrAverage
See Module ImgAlgos::CSPadArrAverage
Configuration file example for evaluation of pedestals:
| Code Block | ||
|---|---|---|
| ||
[psana] modules = ImgAlgos.CSPadArrAverage files = <path-to-the-dark-run-file>.xtc [ImgAlgos.CSPadArrAverage] source = DetInfo(CxiDs1.0:Cspad.0) keyana-cxi49012/cspad-cxi49012-r0025-mask-40.dat masked_amp = avefile = cspad-pedestals-ave.dat rmsfile = cspad-pedestals-rms.dat 0 print_bits = 15 evts_stage1 3 mask_control_bits = 100 evts_stage2 = 100 gate_width1 = 100 gate_width2 = 10 |
Configuration file example for evaluation of background:
| Code Block | ||
|---|---|---|
| ||
[psana]
files = <path-to-the-background-run-file>.xtc
modules = cspad_mod.CsPadCalib ImgAlgos.CSPadArrAverage
skip-events = 500
events = 1000000
[cspad_mod.CsPadCalib]
inputKey =
outputKey = calibrated
doPedestals = yes
doPixelStatus = no
doCommonMode = no
[ImgAlgos.CSPadArrAverage]
source = DetInfo(CxiDs1.0:Cspad.0)
key = calibrated
avefile = cspad-background-ave.dat
rmsfile = cspad-background-rms.dat
print_bits = 15
|
Images of the CSPad arrays for averaged and rms values, respectively, in one of the CXI runs:
Example for module ImgAlgos::CSPadBkgdSubtract
See Module ImgAlgos::CSPadBkgdSubtract
1
|
where
cspad_mod.CsPadCalib - subtracts the pedestals from raw CSPad data,
ImgAlgos.CSPadBkgdSubtract - subtracts the background,
ImgAlgos.CSPadMaskApply - apply the mask.
In the test with images for background represented by the water and solvent rings this filter provides the background suppression factor about 100.
The background images that still pass this filter have significantly larger intensity with respect to averaged background:
Input parameter mask_control_bits allows to control masking regions of 2x1. For example, if all edges need to be masked, then use mask_control_bits = 15, which gives image array like:
where red regions/lines of pixels of amplitude=8 are masked.
Example for module ImgAlgos::CSPadArrNoise
See Module ImgAlgos::CSPadArrNoise
| Code Block | ||
|---|---|---|
| ||
[psana]
modules = cspad_mod.CsPadCalib ImgAlgos.CSPadArrNoise
files = /reg/d/psdm/cxi/cxi49012/xtc/e158-r0020-s00-c00.xtc \
/reg/d/psdm/cxi/cxi49012/xtc/e158-r0020-s01-c00.xtc \
| ||
| Code Block | ||
| ||
[psana] files = /reg/d/psdm/<instrument>cxi/<experiment>cxi49012/xtc/<filee158-r0020-names02-1>c00.xtc \ /reg/d/psdm/<instrument>cxi/<experiment>cxi49012/xtc/<filee158-r0020-names03-2>c00.xtc \ ... /reg/d/psdm/cxi/cxi49012/xtc/e158-r0020-s04-c00.xtc \ /reg/d/psdm/<instrument>cxi/<experiment>cxi49012/xtc/<filee158-r0020-names05-N>c00.xtc skip #skip-events = 5001000 events = 10 modules = cspad_mod.CsPadCalib ImgAlgos.CSPadBkgdSubtract [cspad_mod.CsPadCalib] inputKey = outputKey = calibrated doPedestals = yes doPixelStatus = no doCommonMode = no [ImgAlgos.CSPadBkgdSubtractCSPadArrNoise] source = DetInfo(CxiDs1.0:Cspad.0) inputKey key = calibrated outputKey = bkgd_subtracted bkgd_fname = <the-file-name-with-background-array> norm_sector = 0 print_bitscalibrated statusfile = 3 |
The file with the background array, bkgd_fname, was obtained by averaging 1000 events using module CSPadArrAverage. Subtraction is done with normalization for norm_sector=0.
Event image and pixel amplitude spectrum before and after the background subtraction are shown in plots:
Other event with better subtracted background:
Example for Module ImgAlgos::CSPadMaskApply
See Module ImgAlgos::CSPadMaskApply
The array for mask contains zeros and ones for masked and passed pixels, respectively, and has a shape of full-size CSPad array 4*8*185388.
For example, it can be generated by the command
| Code Block | ||
|---|---|---|
| ||
./MakePixelMask.py <input-background-cspad-arr-file-name> <threshold> <output-file-name>
|
for the averaged background amplitude array <input-background-cspad-arr-file-name> abtained as a result of ImgAlgos::CSPadArrAverage module.
Plots show the averaged background, and the mask arrays generated from this background for three thresholds 10, 20, and 30 EDU:
ana-cxi49012/cspad-cxi49012-r0020-noise-status.dat
maskfile = ana-cxi49012/cspad-cxi49012-r0200-noise-mask.dat
print_bits = 255
rmin = 3
dr = 1
SoNThr = 3
frac_noisy_imgs = 0.15
|
Index map in median algorithm for rmin=3, dr=1The best results in filtering can be achieved in combination of modiles:
| Code Block | ||
|---|---|---|
| ||
CSPadArrNoise::printMatrixOfIndexesForMedian():
0 0 0 0 1 0 0 0 0
0 0 1 1 1 1 1 0 0
0 1 0 0 0 0 0 1 0
0 1 0 0 0 0 0 1 0
1 1 0 0 + 0 0 1 1
0 1 0 0 0 0 0 1 0
0 1 0 0 0 0 0 1 0
0 0 1 1 1 1 1 0 0
0 0 0 0 1 0 0 0 0
|
Pixel status (fraction of events where S/N > SoNThr):
For cspad-cxi49012-r0020 with parameters from confguration file (frac_noisy_imgs=0.15) we get, depending on number of events:
Nnoisy, Ntotal, Nnoisy/Ntotal pixels =94585 2296960 0.041 for 10 events
Nnoisy, Ntotal, Nnoisy/Ntotal pixels =2112 2296960 0.00092 for 100 events
Pixel mask for noisy pixels with |S/N| > SoNThr:
Example for Module ImgAlgos::CSPadArrPeakFinder
See Module ImgAlgos::CSPadArrPeakFinder
| Code Block | ||
|---|---|---|
| ||
[psana] files = \ /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s00-c00.xtc \ /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s01-c00.xtc \ /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s02-c00.xtc \ /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s03-c00.xtc \ # /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s04-c00.xtc \ suddenly it became unavailable... /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s05-c00.xtc #skip-events = 1000 #events = 200 modules = cspad_mod.CsPadCalib \ modules = cspad_mod.CsPadCalib \ ImgAlgos.CSPadBkgdSubtract \ ImgAlgos.CSPadMaskApply \ ... [cspad_mod.CsPadCalib] inputKey = outputKey = calibrated_arr doPedestals = yes doPixelStatus = no doCommonMode = no [ImgAlgos.CSPadBkgdSubtract] source = DetInfo(CxiDs1.0:Cspad.0) inputKey = calibrated_arr outputKey = bkgd_subtracted_arr bkgd_fname = ana-cxi49012/cspad-cxi49012-r0025-background-ave.dat norm_sector = 0 print_bits = 0 [ImgAlgos.CSPadMaskApply] source = DetInfo(CxiDs1.0:Cspad.0) inkey = bkgd_subtracted_arr outkeyImgAlgos.CSPadMaskApply \ ImgAlgos.CSPadArrPeakFinder [cspad_mod.CsPadCalib] inputKey = masked_arr mask_fname = outputKey = ana-cxi49012/cspad-cxi49012-r0025-mask-40.dat masked_ampcalibrated doPedestals = yes doPixelStatus = no doCommonMode = 0 print_bitsno [ImgAlgos.CSPadMaskApply] source = 3 mask_control_bits = 1 |
where
cspad_mod.CsPadCalib- subtracts the pedestals from raw CSPad data,ImgAlgos.CSPadBkgdSubtract- subtracts the background,ImgAlgos.CSPadMaskApply- apply the mask.
In the test with images for background represented by the water and solvent rings this filter provides the background suppression factor about 100.
The background images that still pass this filter have significantly larger intensity with respect to averaged background:
Input parameter mask_control_bits allows to control masking regions of 2x1. For example, if all edges need to be masked, then use mask_control_bits = 15, which gives image array like:
where red regions/lines of pixels of amplitude=8 are masked.
Example for module ImgAlgos::CSPadArrNoise
See Module ImgAlgos::CSPadArrNoise
| Code Block | ||
|---|---|---|
| ||
[psana] modules = cspad_mod.CsPadCalib ImgAlgos.CSPadArrNoise files = /reg/d/psdm/cxi/cxi49012/xtc/e158-r0020-s00-c00.xtc \ = DetInfo(CxiDs1.0:Cspad.0) inkey = calibrated outkey = masked_arr mask_fname = ana-cxi49012/cspad-cxi49012-r0150-mask-badregs.dat #mask_fname = ana-cxi49012/cspad-cxi49012-r0150-mask-bkgd.dat #mask_fname = /reg/d/psdm/cxi/cxi49012/xtc/e158-r0020-s01-c00.xtc \ ana-cxi49012/cspad-cxi49012-r0150-mask-rects.dat masked_amp = 8 print_bits = /reg/d/psdm/cxi/cxi49012/xtc/e158-r0020-s02-c00.xtc \ 1 mask_control_bits = 15 [ImgAlgos.CSPadArrPeakFinder] source /reg/d/psdm/cxi/cxi49012/xtc/e158-r0020-s03-c00.xtc \ = DetInfo(CxiDs1.0:Cspad.0) key /reg/d/psdm/cxi/cxi49012/xtc/e158-r0020-s04-c00.xtc \ = masked_arr key_peaks_out = peaks hot_pix_mask_inp_file /reg/d/psdm/cxi/cxi49012/xtc/e158-r0020-s05-c00.xtc #skip-events = 1000 events = 10 [cspad_mod.CsPadCalib] inputKey= ana-cxi49012/cspad-cxi49012-r0150-noise-mask.dat hot_pix_mask_out_file = ana-cxi49012/cspad-cxi49012-r0150-noise-mask-out.dat frac_noisy_evts_file = ana-cxi49012/cspad-cxi49012-r0150-noise-frac.dat evt_file_out = outputKeytmp/cspad-ev- rmin = calibrated doPedestals = yes doPixelStatus = no doCommonMode = no [ImgAlgos.CSPadArrNoise] source 3 dr = DetInfo(CxiDs1.0:Cspad.0) key = = calibrated1 statusfileSoNThr = ana-cxi49012/cspad-cxi49012-r0020-noise-status.dat maskfile = = ana-cxi49012/cspad-cxi49012-r0200-noise-mask.dat print_bits 3 frac_noisy_imgs = = 255 rmin0.1 peak_npix_min = = 3 dr4 peak_npix_max = 25 peak_amp_tot_thr = = 1 SoNThr100. event_npeak_min = = 3 frac_noisy_imgs = 0.15 |
Index map in median algorithm for rmin=3, dr=1:
| Code Block | ||
|---|---|---|
| ||
CSPadArrNoise::printMatrixOfIndexesForMedian():
0 0 0 0 1 0 0 0 0
0 0 1 1 1 1 1 0 0
0 1 0 0 0 0 0 1 0
0 1 0 0 0 0 0 1 0
1 1 0 0 + 0 0 1 1
0 1 0 0 0 0 0 1 0
0 1 0 0 0 0 0 1 0
0 0 1 1 1 1 1 0 0
0 0 0 0 1 0 0 0 0
|
Pixel status (fraction of events where S/N > SoNThr):
For cspad-cxi49012-r0020 with parameters from confguration file (frac_noisy_imgs=0.15) we get, depending on number of events:
Nnoisy, Ntotal, Nnoisy/Ntotal pixels =94585 2296960 0.041 for 10 events
Nnoisy, Ntotal, Nnoisy/Ntotal pixels =2112 2296960 0.00092 for 100 events
Pixel mask for noisy pixels with |S/N| > SoNThr:
Example for Module ImgAlgos::CSPadArrPeakFinder
See Module ImgAlgos::CSPadArrPeakFinder
10
event_amp_tot_thr = 1000.
nevents_mask_update = 100
nevents_mask_accum = 50
selection_mode = SELECTION_ON
out_file_bits = 15
print_bits = 512
|
Results:
| Code Block | ||
|---|---|---|
| ||
[info:TimeInterval::startTime] Start time: 2012-06-12 15:32:02
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 1000 N selected = 55 Fraction of selected = 0.055
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 2000 N selected = 62 Fraction of selected = 0.031
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 3000 N selected = 81 Fraction of selected = 0.027
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 4000 N selected = 95 Fraction of selected = 0.02375
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 5000 N selected = 150 Fraction of selected = 0.03
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 6000 N selected = 265 Fraction of selected = 0.0441667
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 7000 N selected = 404 Fraction of selected = 0.0577143
[info:ImgAlgos.CSPadArrPeakFinder] ===== JOB SUMMARY =====
[info:TimeInterval::stopTime] Time to process 7945 events is 3747.48 sec, or 0.471678 sec/event
|
Selected events
ev-007713:
ev-008944:
Next example shows how to use ImgAlgos::CSPadArrPeakFinder in combination with python module pyimgalgos.ex_peaks_nda:
| Code Block | ||
|---|---|---|
[psana]
#skip-events = 50
events = 10
files = exp=cxi83714:run=136
modules = cspad_mod.CsPadCalib \
| ||
| Code Block | ||
| ||
[psana] files = \ /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s00-c00.xtc \ /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s01-c00.xtc \ /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s02-c00.xtc \ /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s03-c00.xtc \ # /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s04-c00.xtc \ suddenly it became unavailable... /reg/d/psdm/cxi/cxi49012/xtc/e158-r0150-s05-c00.xtc #skip-events = 1000 #events = 200 modules = cspad_mod.CsPadCalib \ ImgAlgos.CSPadMaskApply \ ImgAlgos.CSPadArrPeakFinder [cspad_mod.CsPadCalib] inputKey = outputKey = calibrated doPedestals = yes doPixelStatus = no doCommonMode = no [ImgAlgos.CSPadMaskApply] source = DetInfo(CxiDs1.0:Cspad.0) inkey =ImgAlgos.CSPadArrPeakFinder calibrated\ outkey = masked_arr mask_fnamepyimgalgos.ex_peaks_nda # = ana-cxi49012/cspad-cxi49012-r0150-mask-badregs.dat #mask_fname EventKeys [cspad_mod.CsPadCalib] inputKey = ana-cxi49012/cspad-cxi49012-r0150-mask-bkgd.dat #mask_fname outputKey = ana-cxi49012/cspad-cxi49012-r0150-mask-rects.dat masked_amp calibrated doPedestals = 8 print_bits = 1 mask_control_bitsyes doPixelStatus = yes doCommonMode = 15yes [ImgAlgos.CSPadArrPeakFinder] source = DetInfo(CxiDs1.0:Cspad.0) key = masked_arrcalibrated key_peaks_out = key_peaks_outnda = peaks_nda hot_pix_mask_inp_file = ana-cxi49012cxi83714/cspad-cxi49012cxi83714-r0150r0136-noise-mask-ini.dat hot_pix_mask_out_file = ana-cxi49012cxi83714/cspad-cxi49012cxi83714-r0150r0136-noise-mask-out.dat frac_noisy_evts_file = ana-cxi49012cxi83714/cspad-cxi49012cxi83714-r0150r0136-noise-frac.dat evt_file_out = tmpcxi83714/cspad-ev- rmin = 3 dr = 1 SoNThr = 3 frac_noisy_imgs = 0.1 peak_npix_min = 4 peak_npix_max = 25 peak_amp_tot_thr = 100. event_npeak_min = 10 event_amp_tot_thr = 1000. nevents_mask_update = 100 nevents_mask_accum = 50 selection_mode 8 dr = SELECTION_ON out_file_bits = = 151 printSoNThr_bitsnoise = 512 |
Results:
| Code Block | ||
|---|---|---|
| ||
[info:TimeInterval::startTime] Start time: 2012-06-12 15:32:02
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 1000 N selected = 55 Fraction of selected = 0.055
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 2000 N selected = 62 Fraction of selected = 0.031
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 3000 N selected = 81 Fraction of selected = 0.027
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 4000 N selected = 95 Fraction of selected = 0.02375
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 5000 N selected = 150 Fraction of selected = 0.03
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 6000 N selected = 265 Fraction of selected = 0.0441667
[info:ImgAlgos.CSPadArrPeakFinder] N processed events = 7000 N selected = 404 Fraction of selected = 0.0577143
[info:ImgAlgos.CSPadArrPeakFinder] ===== JOB SUMMARY =====
[info:TimeInterval::stopTime] Time to process 7945 events is 3747.48 sec, or 0.471678 sec/event
|
Selected events
ev-007713:
3
SoNThr_signal = 4
frac_noisy_imgs = 0.9
peak_npix_min = 3
peak_npix_max = 500
peak_amp_tot_thr = 0.
peak_SoN_thr = 5.
event_npeak_min = 5
event_npeak_max = 1000
event_amp_tot_thr = 0.
nevents_mask_update = 0
nevents_mask_accum = 50
selection_mode = SELECTION_ON
out_file_bits = 15
print_bits = 3681
[pyimgalgos.ex_peaks_nda]
source = DetInfo(CxiDs1.0:Cspad.0)
key_in = peaks_nda
print_bits = 255 |
ev-008944:
Example for module ImgAlgos::CSPadArrPeakAnalysis
See Module ImgAlgos::CSPadArrPeakAnalysis
Example of the psana configuration file:
| Code Block | ||
|---|---|---|
| ||
modules = cspad_mod.CsPadCalib \
ImgAlgos.CSPadMaskApply \
ImgAlgos.CSPadArrPeakFinder \
ImgAlgos.CSPadArrPeakAnalysis
# ...configuration parameters of other modules...
[ImgAlgos.CSPadArrPeakAnalysis]
source = DetInfo(CxiDs1.0:Cspad.0)
key = peaks
print_bits = 7
fname_root = file.root
|
After execution in psana the file.root containing histogram(s) and ntuple(s) will be produced. Then, auxiliary script in root, running by the commend
root -q -f proc.C
produces the plots with histograms:
Example for TimeStampFilter and XtcOutputModule
This example demonstrates how to run psana with the time stamp filter and event writer in xtc file.
Both modules are available in psana library and they need only to be described in the configuration file. For example, the configuration file tstamp-filter-and-event-writer.cfg may looks like:
| Code Block | ||
|---|---|---|
| ||
[psana]
files = /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/e158-r0021-s00-c00.xtc \
/reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/e158-r0021-s01-c00.xtc \
/reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/e158-r0021-s02-c00.xtc \
/reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/e158-r0021-s03-c00.xtc \
/reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/e158-r0021-s04-c00.xtc \
/reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/e158-r0021-s05-c00.xtc
skip-events = 10
events = 100
modules = ImgAlgos.TimeStampFilter PSXtcOutput.XtcOutputModule
[PSXtcOutput.XtcOutputModule]
dirName = ./test_out
[ImgAlgos.TimeStampFilter]
tsinterval = 2012-02-02 18:17:00.409143728 / 2012-02-02 18:17:00.525853474
filterIsOn = true
print_bits = 11
|
Command to run psana is:
psana -c ./tstamp-filter-and-event-writer.cfg
For this configuration file psana will skip 10 events and loop over the next 100 events from the /reg/d/psdm/<INSTRUMENT>/<experiment>/xtc/e158-r0021-s0*-c00.xtc files and run consecutively modules = ImgAlgos.TimeStampFilter PSXtcOutput.XtcOutputModule. Parameters of these modules are described in the bottom part of the configuration file. Module TimeStampFilter passes events from the specified time interval and prints some useful information. Module XtcOutputModule will write passed events in the file with auto-generated name ./test_out/e158-r0021.xtcf.
See also: Module ImgAlgos::TimeStampFilter and PSXtcOutput::PSXtcOutput
Example for module ImgAlgos::UsdUsbEncoderFilter
Example of configuration file:
Examples for Package py_img_algos
| Code Block |
|---|
[psana]
files = exp=amo75113:run=156
events = 10
modules = ImgAlgos.UsdUsbEncoderFilter
[ImgAlgos.UsdUsbEncoderFilter]
source = DetInfo(:USDUSB)
mode = 1
ifname = tstamp-code-in.txt
ofname = tstamp-code-out.txt
print_bits = 31 |
See also: Module ImgAlgos::UsdUsbEncoderFilter
Examples for Package pyimgalgos
Package pyimgalgos Package py_img_algos contains python modules which work with both frameworks pyana and psana.
Configuration file for pyana and/or psana should have relevant sections with parameters for [\pyana] and/or [\psana]. Alean section is ignored in each framework at run time. This is the only difference between two frameworks in the configuration file. All module descriptions are the same for two frameworks, as shown in examples below.
See description of modules in Package py_img_algos Package pyimgalgos.
Example of configuration file for CSPAD
File py-xcs72913-r0049-cspad.cfg:
| Code Block | ||
|---|---|---|
| ||
# Run this script: # psana -c py-xcs72913-r0049-cspad.cfg # pyana -c py-xcs72913-r0049-cspad.cfg # # Useful commands: # psana -m EventKeys -n 5 /reg/d/psdm/xcs/xcs72913/xtc/e265-r0049-* # psana -m psana_examples.dump_cspad -n 5 exp=xcs72913:run=49 # pyana -m pyana_examples.dump_cspad -n 5 /reg/d/psdm/xcs/xcs72913/xtc/e265-r0049-* [pyana] files = /reg/d/psdm/xcs/xcs72913/xtc/e265-r0049-s00-c00.xtc /reg/d/psdm/xcs/xcs72913/xtc/e265-r0049-s04-c00.xtc /reg/d/psdm/xcs/xcs72913/xtc/e265-r0049-s05-c00.xtc num-events = 5 #skip-events = 0 #num-cpu = 1 verbose = 1 ; logging output: 0-nothing?, 1+INFO, 2+DEBUG, ... modules = py_img_algospyimgalgos.tahometer py_img_algospyimgalgos.cspad_arr_producer py_img_algospyimgalgos.cspad_image_producer py_img_algospyimgalgos.image_save_in_file [psana] files = exp=xcs72913:run=49 events = 5 #skip-events = 0 modules = py_img_algospyimgalgos.tahometer py_img_algospyimgalgos.cspad_arr_producer py_img_algospyimgalgos.cspad_image_producer py_img_algospyimgalgos.image_save_in_file verbose = 1 [py_img_algospyimgalgos.tahometer] dn = 10 print_bits = 255 [py_img_algospyimgalgos.cspad_arr_producer] #source = -|Cspad-* source = XcsEndstation-0|Cspad-0 data_type = double #data_type = float #data_type = unsigned #data_type = uint16 val_miss = 0 key_out = cspad_array print_bits = 1 [py_img_algospyimgalgos.cspad_image_producer] calib_dir = /reg/d/psdm/xcs/xcs72913/calib/CsPad::CalibV1/XcsEndstation.0:Cspad.0/ key_in = cspad_array key_out = cspad_image print_bits = 1 # Supported output file formats tiff, gif, png, eps, jpg, jpeg, txt, npy(default), npz [py_img_algospyimgalgos.image_save_in_file] key_in = cspad_image ofname = img-for-cspad.txt print_bits = 255 |
To run this script use command
psana -c py-xcs72913-r0049-cspad.cfg
or
pyana -c py-xcs72913-r0049-cspad.cfg
Example of configuration file for CSPAD2x2
File py-meca6113-r0028-cspad2x2.cfg
| Code Block | ||
|---|---|---|
| ||
# Run this script: # psana -c py-meca6113-r0028-cspad2x2.cfg # pyana -c py-meca6113-r0028-cspad2x2.cfg # # Useful commands: # psana -m EventKeys -n 5 /reg/d/psdm/mec/meca6113/xtc/e332-r0028-s03-c00.xtc # psana -m psana_examples.dump_cspad -n 5 exp=meca6113:run=28 # pyana -m pyana_examples.dump_cspad -n 5 /reg/d/psdm/mec/meca6113/xtc/e332-r0028-s03-c00.xtc [pyana] files = /reg/d/psdm/mec/meca6113/xtc/e332-r0028-s03-c00.xtc num-events = 5 #skip-events = 0 #num-cpu = 1 verbose = 0 ; logging output: 0-nothing?, 1+INFO, 2+DEBUG, ... modules = py_img_algospyimgalgos.tahometer py_img_algospyimgalgos.cspad_arr_producer py_img_algospyimgalgos.cspad_image_producer py_img_algospyimgalgos.image_save_in_file [psana] files = exp=meca6113:run=28 events = 5 #skip-events = 0 modules = py_img_algospyimgalgos.tahometer py_img_algospyimgalgos.cspad_arr_producer py_img_algospyimgalgos.cspad_image_producer py_img_algospyimgalgos.image_save_in_file [py_img_algospyimgalgos.tahometer] dn = 10 print_bits = 255 [py_img_algospyimgalgos.cspad_arr_producer] #source = -|Cspad-* source = MecTargetChamber-0|Cspad2x2-3 #data_type = double data_type = float #data_type = unsigned #data_type = uint16 #data_type = uint32 val_miss = 0 key_out = cspad2x2_array print_bits = 255 [py_img_algospyimgalgos.cspad_image_producer] calib_dir = /reg/d/psdm/mec/meca6113/calib/CsPad2x2::CalibV1/MecTargetChamber.0:Cspad2x2.3/ key_in = cspad2x2_array key_out = cspad2x2_image print_bits = 1 # Supported output file formats tiff, gif, png, eps, jpg, jpeg, txt, npy(default), npz [py_img_algospyimgalgos.image_save_in_file] key_in = cspad2x2_image ofname = img-for-cspad2x2.tiff print_bits = 255 |
To run this script use command
psana -c py-meca6113-r0028-cspad2x2.cfg
or
pyana -c py-meca6113-r0028-cspad2x2.cfg
References
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