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About

This page provides a list of existing modules for psana framework. Only the modules that are included in the standard analysis releases appear on this page.

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This page provides examples for selected modules in Psana Module Examples.

Source Code Access

You can find the source code at SLAC (e.g. for module CSPadPixCoords::PixCoordsTest) in these two directories:

Code Block
/reg/g/psdm/sw/releases/ana-current/CSPadPixCoords/src/PixCoordsTest.cpp (.cpp for c++ source code, or .py for python source code)
/reg/g/psdm/sw/releases/ana-current/CSPadPixCoords/include/PixCoordsTest.h (c++ include file)

Package psana

Psana package include several simple modules which do generic tasks that do not need knowledge of the event data types.

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See also Example for Package ImgPixSpectra.

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ImgAlgo
ImgAlgo

Package ImgAlgos

This packages contains a few psana modules for analysis and image processing.

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Tahometer
Tahometer

Module ImgAlgos::Tahometer

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See also Example for Module ImgAlgos::Tahometer.

 

Anchor
TimeStampFilter
TimeStampFilter

Module ImgAlgos::TimeStampFilter

 

This module passes only the events if their time stamp is in the requested range.
The range of allowed time stamps is defined by the configuration parameters.

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See also Example for TimeStampFilter and XtcOutputModule.

 

Anchor
EventNumberFilter
EventNumberFilter

Module ImgAlgos::EventNumberFilter

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  1. If the first and/or last event numbers are defined, then the filter will select events in this range only.
  2. If the evtstring is defined, only listed events of event ranges will be selected. For example, the evtstringparameter can be defined as

    Code Block
    bgColor#F7F7ED
     2,5,11-15,20-25,29,30
    

    that means the list of events:

    Code Block
    bgColor#F7F7ED
      2  5  11  12  13  14  15  20  21  22  23  24  25  29  30
    

    In the evtstring parameter the comma "," and sign minus "-" as a dash are the only allowed separators. Blank spaces are also allowed. Other characters may abort the program. The evtstring mode has higher priority than the 1st mode.
    The filterIsOn allows easy turn on/off this filter in *.cfg file.

 

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EventCounterFilter
EventCounterFilter

Module ImgAlgos::EventCounterFilter

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Code Block
2 3 6 7 9 11 15
17 28 32 ...

 

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EventCodeFilter
EventCodeFilter

Module ImgAlgos::

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EventCodeFilter

Functionality:

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ImgAlgos::EventCodeFilter (ImgAlgos > V00-03-80) module is created by request of Silke Nelson for dark image selection based on EvrData eventCode.

Functionality: Filter selects events which have requested evtcode in Psana::EvrData::DataV4, 3, ... data objects in the list of Psana::EvrData::FIFOEvent objects. Events which do not have the event code are skipped

...

.

"Andor" of data

parameter

default value

description

sourceDetInfo(:Evr)data source

key_in

 

key for input data

key_out

"andorimg"

output key for image saved in the event store

outtype

"asdata"

out data type: implemented values: asdata (default, uint16_t), float, double, int and int16.

evtcode0event code, unsigned number

mode

0

filter mode: 0-off, 1-on, -1-on in inverted decision mode

print_bits

0

verbosity:

  • =0 - print

print_bits

0

verbosity:

  • =0 - print nothing
  • +1 - input pars
  • +4 - filter summary
  • +2 8 - data from event()current event number and selection status
  • +4 - 16 - list of FIFO events

Example of configuration parameters

...

for this module:

Code Block
modules = ... ImgAlgos.EventCodeFilter ...

[ImgAlgos.EventCodeFilter]
evtcode    = 41
mode       = 1
print_bits = 5

 

Anchor
AndorImageProducer
AndorImageProducer

Module ImgAlgos::

...

AndorImageProducer

Functionality:

  • gets Epix Andor data from the event store for specified source and key_in parameters,
  • puts the ndarray<const T,2> object with camera image in the event store using specified key_out parameter, where the output type T is defined by the outtype parameter.

parameter

default value

description

source

"DetInfo(:Epix10kAndor)"

source of data

key_in

 

key for input data

key_out

"andorimg"

output key for image saved in the event store

outtype

"asdata"

out data type: implemented values: asdata (default, uint16_t), float, double, int and int16.

print_bits

0

verbosity:

  • =0 - print nothing
  • +1 - input pars
  • +2 - data from event()
  • +4 - configuration parameters
  • +8 - table with sizes of types

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Module ImgAlgos::EpixNDArrProducer

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Module ImgAlgos::PnccdNDArrProducer

Functionality:

  • gets pnCCD Epix data from Psana::PNCCD::FramesV1 object from the event store for specified source and key_in parameters,
  • puts the ndarray<const TOUTT,3> object of shape 4x512x512 2> object with image in the event store using specified key_out parameter, where the output type T is defined by the outtype parameter.

parameter

default value

description

source

"DetInfo(:pnCCDEpix)"

source of data, it needs to be replaced for real detector to :Epix100a

key_in

 

key for input data

key_out

"andorimgepix-ndarr"

output key for image saved in the event store

outtype

"asdata"

out data type: implemented values: asdata (default, unsigned shortuint16_t), float, double, int and int16.

print_bits

0

verbosity:

  • =0 - print nothing
  • +1 - input pars
  • +2 - data from event()
  • +4 - configuration parameters
  • +8 - table with sizes of types+16 - warning about missing data

See also Example for Module ImgAlgos::EpixNDArrProducer.

Module ImgAlgos::

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PnccdNDArrProducer

Functionality:

  • gets from the event store the object with pnCCD data of typefrom Psana::PNCCD::FullFrameV1 containing four [512][512] frames with T=uint16_t, or
  • ndarray<const T,3> , where shape=[4][512][512], T=unsigned short, float, double, int, or int16,
  • FramesV1 object from the event for specified source and inkey key_in parameters,
  • puts the ndarray<const TTOUT,2> object with pnccd [1024+gap_rows][1024+gap_cols] image in the event using specified outimgkey 3> object of shape 4x512x512 specified key_out parameter.
Image effective pixel intensity value in the gap

parameter

default value

description

source

"DetInfo(:pnCCD)"

source of data

inkeykey_in

 

key for input data

outimgkeykey_out

"pnccdimgpnccd-ndarr"

output key for image saved in event

gap_rows0

gap between top and bottom segments in number of pixels

gap_cols0

gap between left and right segments in number of pixels

outtype

"asdata"

out data type: implemented values: asdata (default, unsigned short), float, double, int and int16.

gap_value0

print_bits

0

verbosity:

  • =0 - print nothing
  • +1 - input pars
  • +2 - initial portion of pnccd arraydata from event()
  • +4 - configuration parsparameters
  • +8 - table with sizes of types
  • +16 - warning about missing data

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Module ImgAlgos::PnccdImageProducer

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This module takes care about any generic camera image.
Functionality:

  • gets any camera image data Camera::FrameV1 from the event store the object with pnCCD data of type
    • Psana::PNCCD::FullFrameV1 containing four [512][512] frames with T=uint16_t, or
    • ndarray<const T,3> , where shape=[4][512][512], T=unsigned short, float, double, int, or int16,
    for specified source and key_in inkey parameters,
  • puts the ndarray<const T,2> object with camera image in the event using specified type outtype and key_out parameterspnccd [1024+gap_rows][1024+gap_cols] image in the event using specified outimgkey parameter.
on/off the amplitude offset using configuration data (not applied for outtype = asdata)

parameter

default value

description

source

"DetInfo(:CamerapnCCD)"

source of data

key_ininkey

 

key for input datakey_out

outimgkey

"pnccdimg"

output key for image saved in event

outtype

"asdata"

out data type: implemented values: asdata (default, uint16_t), float, double, int and int16.

gap_rows0

gap between top and bottom segments in number of pixels

gap_cols0

gap between left and right segments in number of pixels

gap_value0Image effective pixel intensity value in the gap

subtract_offset

true

print_bits

0

verbosity:

  • =0 - print nothing
  • +1 - input pars
  • +2 - time stamp for each eventinitial portion of pnccd array
  • +4 - summary at the endJobconfiguration pars
  • +8 16 - details warning about missing data format conversion and applied offset
  • +16 - configuration data for each beginCalibCycle

See also Example for Module ImgAlgos::CameraImageProducerPnccdImageProducer.

Module ImgAlgos::

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CameraImageProducer

This module works with any generic camera image stored in data type Camera::FrameV#Functionality:

  • gets the Princeton or Pimax any camera image data PrincetonCamera::FrameV1 /2 or Pimax::FrameV1 from the from the event store for specified source and key_in parameters,
  • puts the ndarray<const T,2> object with camera image in the event store using specified type outtype and key_out parameters.

     

    Note

    Special treatment for fccd960: if  outtype is not "asdata" the gain factor depending on gain bits is applied, See FCCD-Detector.

parameter

default value

description

source

"DetInfo(:PrincetonCamera)"

source of data

key_in

 

key for input data (raw - by default)

key_out

"imagepnccdimg"

output key for image saved in event

outtype

"asdata"

out data type: implemented values: asdata (default, uint16_t), float, double, int and int16.

subtract_offset

true

on/off the amplitude offset using configuration data (not applied for outtype = asdata)

print_bits

0

verbosity:

  • =0 - print nothing
  • +1 - input parameterspars
  • +2 - record time stamp for each event
  • +4 - summary at the endJob
  • +8 - first 10 elements of the data arraydetails about data format conversion and applied offset
  • +16 - configuration info data for each beginCalibCycle(...)

See also Example for Module ImgAlgos::PrincetonImageProducerCameraImageProducer.  AnchorAcqirisArrProducerAcqirisArrProducer

Module ImgAlgos::

...

PrincetonImageProducer

Functionality:

  • gets the Princeton or Pimax camera image data Princeton::FrameV1/2 or Pimax::FrameV1 from the event store for specified Gets acqiris configuration and data from Acqiris::ConfigV1 and Acqiris::DataDescV1,  objects using parameters source and key_in;
  • produces ndarray<const double,2> of shape[] = {nbrChannels, nbrSamples} for waveforms and time stamps;
  • saves configuration data in the file defined by fname_prefix;
  • parameters,
  • puts the ndarray<const T,2> object with camera image in the event using specified type outtype and key_out parameterssaves waveforms and time stamps in the event store with keys key_wform and key_wtime.
acq_wtime"

parameter

default value

description

source

"DetInfo(:AcqirisPrinceton)"

source of data

key_in

"" 

key for input data (by default  (empty)  – raw dataraw - by default)

key_wformout

"acq_wformimage"

output key for waveforms image saved in eventkey_wtime

outtype

"

output key for waveform times saved in event

fname_prefix

""

file name prefix for configuration parameters (by default  (empty)  – do not save file)

correct_ttrueon/off switch for time correction; if =false - array indexes are the same as in raw data waveform

asdata"

out data type: implemented values: asdata (default, uint16_t), float, double, int and int16.

print_bits

0

verbosity:

  • =0 - print nothing
  • +1 - input parameters
  • +2 - configuration parametersrecord for each event
  • +4 - record about saving file with configuration parameterssummary at the endJob
  • +8 - print part of waveform for all channels and segments in each eventfirst 10 elements of the data array
  • +16 - print info about waveform indexes

...

  • configuration info for each beginCalibCycle(...)

See also Example for Module ImgAlgos::

...

PrincetonImageProducer.

 

Anchor

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AcqirisArrProducer

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AcqirisArrProducer

Module ImgAlgos::

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AcqirisArrProducer

  • Gets Acqiris waveforms from event store as ndarray<const double,2> object acqiris configuration and data from Acqiris::ConfigV1 and Acqiris::DataDescV1,  objects using parameters source and key_in;
  • performs waveform selection controlled by parameters: thresholds, is_postive_signal, do_inverse_selection, in the range depending on local event numbers skip_events and proc_events;
  • produces ndarray<const double,2> of shape[] = {nbrChannels, nbrSamples} for waveforms and time stamps;
  • saves configuration data in the file defined by fname_prefix;
  • saves waveforms and time stamps in the event store with keys key_wform and key_wtimeafter number of events proc_events or at the end of job (whatever happens first), saves array of averaged waveforms in the text file with name constructed from fname_ave_prefix and in the event store using parameters source and key_average.
average-ave

parameter

default value

description

source

"DetInfo(:Acqiris)"

Source source of data.

key_in

"acq_wform"

Key key for input data (raw - by default).by default  (empty)  – raw data)

key_

wform

"acq

_wform"

Keyword for averaged waveform array saved in the evt store. If empty – array is not saved.
fname_ave_prefix"acq-ave"Text file name prefix for averaged array, full name will be extended by the experiment name, run number and suffix "-ave-wfs.txt", for example: "acq-amo01509-r0125-ave-wfs.txt".
thresholds""List of threshold values for all Acqiris channels separated by space. If empty – threshold selection is not applied, all waveforms are averaged.
is_positive_signal""Space-separated list of 1/0 values indicating signal polarity. For example, "1 1 1 0 1" (without the quotes!) would indicate Acqiris channels 1,2,3,5 contained positive signal polarity, while channel 4 contained a negative signal polarity.
do_inverse_selection

""

Space-separated ist of 1/0 values indicating which waveforms to include in average. For example, "0 0 0 1 0" (without the quotes) would tell the code to average only waveforms that do not cross the threshold for channels 1,2,3,5 while channel 4 would average only waveforms that do cross the threshold.

skip_events

0

Number of events (from the beginning of job) to skip before begin averaging.

proc_events

10000000

Number of events for averaging.

output key for waveforms saved in event

key_wtime

"acq_wtime"

output key for waveform times saved in event

fname_prefix

""

file name prefix for configuration parameters (by default  (empty)  – do not save file)

correct_ttrueon/off switch for time correction; if =false - array indexes are the same as in raw data waveform

print_bits

0

verbosity:

  • =0 - print nothing
  • +1 - input parameters
  • +2 - configuration parameters
  • +4 - record about saving file with configuration parameters
  • +8 - print part of waveform for all channels and segments in each event
  • +16 - print info about waveform indexes

print_bits

0

Verbosity:

  • =0 - print nothing
  • +1 - input parameters
  • +2 - ndarray dimensions
  • +4 - begin/end accumulate statistics record
  • +8 - record about saving file with averaged array
  • +16 - statistics of averaged waveforms (number of accumulated)
  • +32 - part of the input waveform

...

 

Anchor

...

AcqirisAverage

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AcqirisAverage

Module ImgAlgos::

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AcqirisAverage

  • Gets Acqiris waveforms from event store as ndarray<const double,2> object using parameters source and key_in;
  • processes events performs waveform selection controlled by parameters: thresholds, is_postive_signal, do_inverse_selection, in the range depending on local event numbers skip_events and proc_events;
  • at the 1st processed event loads the fname_base_line file with baseline  ndarray<const double,2>;
  • subtract baseline from waveforms;
  • save corrected waveforms in the event store as ndarray<const double,2> object after number of events proc_events or at the end of job (whatever happens first), saves array of averaged waveforms in the text file with name constructed from fname_ave_prefix and in the event store using parameters source and key_outaverage.
outwfcalibratedName of the input text file with array of the baselines for active  Acqiris channels. By default this name coincides with the name of the file produced by the module AcqirisAverage. This allows to use these to modules in chain with auto-generated names of files. If the file with auto-generated extended name (which looks like "acq-ave") is not found on disk, the file name without extension will be tested. If it is not found as well, baseline subtraction will not be performed and output array will be identical to input one. subtraction

parameter

default value

description

source

"DetInfo(:Acqiris)"

Source of data.

key_in

"acq_wform"

Key for input ndarray with raw waveforms from evt store. For now it is assumed that this array is produced by theAcqirisArrProducer or AcqirisAverage modulesdata (raw - by default).

key_average"acq-ave"

Key for output ndarray with calibrated waveforms.

Keyword for averaged waveform array saved in the evt store. If empty – array is not saved.
fname_ave_prefixfname_base_line"acq-ave"Text file name prefix for averaged array, full name will be extended by the experiment name, run number and suffix "-ave-wfs.txt", for example: "acq-amo01509-r0125-ave-wfs.txt".
thresholds""List of threshold values for all Acqiris channels separated by space. If empty – threshold selection is not applied, all waveforms are averaged.
is_positive_signal""Space-separated list of 1/0 values indicating signal polarity. For example, "1 1 1 0 1" (without the quotes!) would indicate Acqiris channels 1,2,3,5 contained positive signal polarity, while channel 4 contained a negative signal polarity.
do_inverse_selection

""

Space-separated ist of 1/0 values indicating which waveforms to include in average. For example, "0 0 0 1 0" (without the quotes) would tell the code to average only waveforms that do not cross the threshold for channels 1,2,3,5 while channel 4 would average only waveforms that do cross the threshold.

skip_events

0

Number of events (from the beginning of

skip_events

0

Number of events (from the beginning of job) to skip before begin subtractionaveraging.

proc_events

10000000

Number of events for

averaging.

print_bits

0

Verbosity:

  • =0 - print nothing
  • +1 - input parameters
  • +2 - ndarray dimensions
  • +4 - begin/end of subtractionaccumulate statistics record
  • +8 - Information about loading of the input record about saving file with baseline averaged array
  • +16 - part of the input arraystatistics of averaged waveforms (number of accumulated)
  • +32 - part of baseline arraythe input waveform

 Example for Module ImgAlgos::AcqirisCalibAcqirisAverage

 

Anchor
AcqirisCFDAcqirisCalibAcqirisCFD
AcqirisCalib

Module ImgAlgos::

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AcqirisCalib

  • Gets Acqiris waveforms from event store as ndarray< ndarray<const double,2> object object using parameters parameters source,  and key_wform, key_wtime;
  • runs constant-fraction discriminator algorithm on all acqiris channels using user-specified per-channel parameters;
  • in;
  • processes events in the range depending on local event numbers skip_events and proc_events;
  • at the 1st processed event loads the fname_base_line file with baseline  ndarray<const double,2>;
  • subtract baseline from waveforms;
  • save corrected waveforms in the event store as ndarray<const double,2> object using parameters source and key_out.

    saves edges into the event as a set of ndarray<double,1>;

     

parameter

default value

description

source

"DetInfo(:Acqiris)"

Source of data.

key_

...

in

"

...

acq_wform"

Key for input ndarray with

...

raw waveforms from evt store. For now it is assumed that this array is produced by the

AcqirisArrProducer or AcqirisAverage modules.

key_

...

out

"

...

wf-calibrated"

Key for

...

output ndarray with

...

calibrated waveforms.

...

fname_base_

...

line

"

...

Key for output ndarray<double,1> with calibrated waveforms. This key will have the acqiris channel number (1 thru 20) appended to the end of it, and the data for that channel will be added to the event only if edges were found.

acq-ave"

Name of the input text file with array of the baselines for active  Acqiris channels. By default this name coincides with the name of the file produced by the module AcqirisAverage. This allows to use these to modules in chain with auto-generated names of files. If the file with auto-generated extended name (which looks like "acq-ave-amo01509-r0125-ave-wfs.txt") is not found on disk, the file name without extension will be tested. If it is not found as well, baseline subtraction will not be performed and output array will be identical to input one.

skip_events

0

Number of events (from the beginning of job) to skip before begin subtraction.

proc_events

10000000

Number of events for subtraction.

print_bits

0

Verbosity:

  • =0 - print nothing
  • +1 - input parameters
  • +2 - ndarray dimensions
  • +4 - begin/end of subtraction
  • +8 - Information about loading of the input file with baseline array
  • +16 - part of the input array
  • +32 - part of baseline array

 Example for Module ImgAlgos::AcqirisCalib

Anchor
AcqirisCFD
AcqirisCFD

Module ImgAlgos::AcqirisCFD

  • Gets Acqiris waveforms from event store as ndarray<const double,2> object using parameters source, key_wform, key_wtime;
  • runs constant-fraction discriminator algorithm on all acqiris channels using user-specified per-channel parameters;
  • saves edges into the event as a set of ndarray<double,1>;

     

    parameter

    default value

    description

    source

    "DetInfo(:Acqiris)"

    Source of data.

    key_wform

    "acqiris_wform"

    Key for input ndarray with waveforms (either raw, or subtracted using AcqirisCalib module) from evt store.

    key_wtime

    "acqiris_wtime"

    Key for input ndarray with waveform times from evt store.

    key_edges

    "acqiris_edges_"

    Key for output ndarray<double,1> with calibrated waveforms. This key will have the acqiris channel number (1 thru 20) appended to the end of it, and the data for that channel will be added to the event only if edges were found.

    baselines

    ""

    A list of baseline values (one per channel) to subtract from the waveform in volts.

    fractions

    ""

    A list of fractions (one per channel) between 0 and 1. The edge-time reported will be at the time when the pulse is at this fraction of the peak value.

    thresholds

    ""

    A list of threshold values (one per channel) in volts that indicate a new edge should be found. If this value is less than the baseline, then the algorithm will look for negative pulses, otherwise it will look for positive pulses.

    deadtimes

    ""

    A list of deadtimes (one per channel) in seconds. After each edge the algorithm will ignore any new hits in this time interval.

    leading_edges

    ""

    A list of 0/1 values (one per channel) indicating whether edge-times are desired for leading edges (1) or falling edges (0).

 Example for Module ImgAlgos::AcqirisCFD

Module ImgAlgos::NDArrImageProducer

This module converts any (detector-associated) ndarray in to image.

For any available in the event store ndarray<const T,NDim>, defined by the source and key_in parameters, and which size is equal to the number of pixels in the detector,  this module creates 2-d image ndarray<const TOUT,2> and saves it in the event store with key_out. TOUT is defined by the type_out. Pixel geometry array is retreived from the calibration file of  "geometry" type from default standard or specified in calibdir directory.

Configuration parameters

...

""

...

A list of baseline values (one per channel) to subtract from the waveform in volts.

...

""

...

A list of fractions (one per channel) between 0 and 1. The edge-time reported will be at the time when the pulse is at this fraction of the peak value.

...

""

...

A list of threshold values (one per channel) in volts that indicate a new edge should be found. If this value is less than the baseline, then the algorithm will look for negative pulses, otherwise it will look for positive pulses.

...

""

...

A list of deadtimes (one per channel) in seconds. After each edge the algorithm will ignore any new hits in this time interval.

...

""

...

A list of 0/1 values (one per channel) indicating whether edge-times are desired for leading edges (1) or falling edges (0).

 Example for Module ImgAlgos::AcqirisCFD

Module ImgAlgos::NDArrImageProducer

This module converts any (detector-associated) ndarray in to image.

For any available in the event store ndarray<const T,NDim>, defined by the source and key_in parameters, and which size is equal to the number of pixels in the detector,  this module creates 2-d image ndarray<const TOUT,2> and saves it in the event store with key_out. TOUT is defined by the type_out. Pixel geometry array is retreived from the calibration file of  "geometry" type from default standard or specified in calibdir directory.

Configuration parameters:

parameter

default value

description

source

""

input source of data. This parameter MUST BE specified, for example: CxiDs1.0:Cspad.0

key_in

""

key for input data, for example it might be "calibrated", by default (empty) raw data

key_out"image"key for output image in the event store.
type_out"asinp"type of data in output image array. Possible values - "asinp"-the same type as input array, "int16", "float", "double", "int".

print_bits

0

module verbosity:

  • =0 - print nothing
  • +1 - input pars
  • +2 - info about (non-) availability of the calibration file
  • +4 - event record
  • +8 - info about produced image
  • +16 - size of types table
  • +32 - pixel coordinates
  • +64 - detailed information about geometry file processing

Additional parameters which can be used for special applications like alignment:

parameter

default value

description

calibdirsource

""

non-default calibration directory for "geometry" file

calibgroup""by-default calibration group is retreived from source name as  <detector>::CalibV1
oname""top object name in the hierarchial geometry file
oindex0top object index in the hierarchial geometry file
pix_scale_size_um0set the ize of the image bin. By-default this value is extracted from sensor.
x0_off_pix0offset of the top geometry object origin x0 coordinate on the image in number of pixels
y0_off_pix0offset of the top geometry object origin y0 coordinate on the image in number of pixels

...

input source of data. This parameter MUST BE specified, for example: CxiDs1.0:Cspad.0

key_in

""

key for input data, for example it might be "calibrated", by default (empty) raw data

key_out"image"key for output image in the event store.
type_out"asinp"type of data in output image array. Possible values - "asinp"-the same type as input array, "int16", "float", "double", "int".

print_bits

0

module verbosity:

  • =0 - print nothing
  • +1 - input pars
  • +2 - info about (non-) availability of the calibration file
  • +4 - event record
  • +8 - info about produced image
  • +16 - size of types table
  • +32 - pixel coordinates
  • +64 - detailed information about geometry file processing

Additional parameters which can be used for special applications like alignment:

parameter

default value

description

calibdir

""

non-default calibration directory for "geometry" file

calibgroup""by-default calibration group is retreived from source name as  <detector>::CalibV1
oname""top object name in the hierarchial geometry file
oindex0top object index in the hierarchial geometry file
pix_scale_size_um0set the ize of the image bin. By-default this value is extracted from sensor.
x0_off_pix0offset of the top geometry object origin x0 coordinate on the image in number of pixels
y0_off_pix0offset of the top geometry object origin y0 coordinate on the image in number of pixels
mode0

mapping algorithm for overlapping pixels of ndarray on the 2-D image; 0-last pixel substitutes intensity, 1-use pixel with maximal intensity, 2-accumulate(sum) intensity

do_tilttrueon/off tilt angle correction for sensors


See also Example for Module ImgAlgos::NDArrImageProducer.

 

Module ImgAlgos::NDArrAverage

This module averages over events the per-element data of the image array (

 

Module ImgAlgos::NDArrAverage

This module averages over events the per-element data of the image array (ndarray<const T,NDim>, where T is implemented for almost all types: int, int16, uint, float, double etc., NDim≤5) and saves files for sum, averaged, rms values, mask, and, the hot pixel map. Input ndarray can be specified by the source and key parameters. Averaging may have up to three stages, depending on configuration parameters:

...

ADU10000 =0 - use auto-evaluated threshold. exceeds hotmin

parameter

default value

description

source

DetInfo(:Opal1000)

input source of data

key

 

key for input data, for example, it might be "calibrated"

sumfile

""

out file with sum of amplitudes, saved if the name is not empty

avefile

""

out file with averaged amplitudes, saved if the name is not empty

rmsfile

""

out file with rms, saved if the name is not empty

maskfile""out file with pixel mask with 0/1-for bad/good pixels, saved if the name is not empty

hotpixfile

""

out file with pixel bit-words: 0/1/2/4/8 for good/hot/saturated/cold/cold-rms, saved if the name is not empty

maxfile""out file with maximal value per pixel over events
ftypetxtout file type: txt (default), metatxt, bin

thr_rms_

min

0.

minimal threshold on rms (in ADU);

  If rms

lower than this threshold - pixel is

cold-rms.

thr_

rms_ADU

10000.

maximal threshold on rms (in ADU); =0 - use auto-evaluated threshold. If rms exceeds this threshold - pixel is hot.

thr_min_ADU

--100000.

threshold on minimal intensity (in ADU); if ave exceeds this threshold - pixel is good

thr_max_ADU

100000.

threshold on maximal intensity (in ADU); if ave exceeds this threshold - pixel is bad

evts_stage1

1000000

number of events before stage 1

evts_stage2

0

additional number of events before stage 2

gate_width1

0

gate_width for stage 1

gate_width2

0

gate_width for stage 2

print_bits

0

module verbosity:

  • =0 - print nothing
  • +1 - input pars
  • +2 - event record
  • +4 - beginning of 3 stages
  • +8 - processed statistics at the end of each stage
  • +16 - records for saved files
  • +32 - summary with keywords for parser
  • +64 - statistics of bad pixels
  • +128 - mean and rms in 3 iterations of the threshold auto-evaluation algorithm and evaluated threshold
  • +256 - warning if ndarray shape is not defined yet

...

  • and saves the corrected ndarray<const doubleTOUT,NDim> NDim> in the event with key key_out, where TOUT is controlled by the parameter outtype, which can be set to double(default), float, int, and int16.
  • In ImgAlgos V00-02-01 implemented detectors: CsPad, CsPad2x2, Pnccd, Princeton, Andor, Opal1000, Opal4000

...

parameter

default value

description

source

DetInfo(:Camera)

source of data

key_in

 

key for input ndarray<const T,NDIM>

key_out

calibrated

output key for calibrated image saved in event

outtypedoubleoutput ndarray data type can be set to double(default), float, int, and int16.

do_peds

false

true: pedestals subtracted if available in calib store

do_cmod

false

true: common mode correction is evaluated and applied [Ref.]

do_stat

false

true: bad/hot pixels in pixel_status are masked

do_mask

false

true: mask is applied if the file fname_mask is available (1/0 = good/bad pixels)

do_bkgd

false

true: normalized background is subtracted if the file fname_bkgd is available

do_gain

false

true: pixel_gain correction is applied if available in calib store

do_nrms

false

true: per-pixel threshold is applied if pixel_rms  is available in calib store

do_thre

false

true: low level threshold in ADU is applied

fname_bkgd

 

input file name for background, applied if the file name is specified

fname_mask

 

input file name for mask, applied if the file name is specified

masked_value

0.

intensity value (in ADU) substituted for masked pixels

threshold_nrms

3.

threshold as a number of sigmas to pixel_rms parameters

threshold

0.

common low level threshold in ADU

below_thre_value

0.

intensity substituted for pixels below threshold

bkgd_ind_min

0

minimal index in flatten ndarray, which is used for background normalization

bkgd_ind_max

100

maximal index in flatten ndarray, which is used for background normalization

bkgd_ind_inc

2

index increment in flatten ndarray, which is used for background normalization

print_bits

0

verbosity:

  • =0 - print nothing
  • +1 - input pars
  • +2 - calibration parameters
  • +4 - common mode algorithm parameters
  • +8 - ndarray parameters; type, ndim, shape, etc.
  • +16- time stamp for each event
  • +32 - first 10 elements of the raw image data
  • +64 - first 10 elements of the calibrated image data

...

Doxygen documentation for interface: CalibParsStore,  GenericCalibPars: CalibParsStore,  GenericCalibPars

 See also Example for Module ImgAlgos::NDArrCalib,

Test of the NDArrCalib module for pnCCD.

 

Module ImgAlgos::NDArrDropletFinder

Finds "droplets" (wide peaks) in data ndarray and saves their list in output ndarray. This is a re-implementation of algorithm ImgPeakFinder for ndarray of 2-d segments with functionality as follows.
1. Selects pixels in the windows defined by the list of parameters:  segment, rowminrowmax, colmincolmax with amplitudes above the threshold_low.
2. Optionally smears image for selected pixels using 2-d matrix of weights in the range -smear_radius to +smear_radius in both dimensions around smeared pixel. The matrix of weights is defined by the 2-d Gaussian function of width sigma. If sigma=0 smearing is not applied.
3. Finds peaks as pixels with absolute-maximal amplitude above the threshold_high in the center of the matrix covering the range -peak_radius to +peak_radius  in both dimensions.
4. Puts the ndarray of found peaks in the event store with key key_droplets. Each row of this ndarray has parameters from struct Droplet, containing segment number,  row, column of the droplet center, peak pixel amplitude, the total amplitude inside peak_radius the region, and the number of pixels in this region above threshold_low:

Anchor
Struct Droplet
Struct Droplet

Code Block
bgColor#F7F7ED
  struct Droplet{
    unsigned seg;
    double   row;
    double   col; 
    double   ampmax;  // amplitude in the peak maximum
    double   amptot;  // total amplitude in the range of peak_radius
    unsigned npix;    // number of pixels in the range of peak_radius
  };

parameter

default value

description

source

"DetInfo()"

source of data

key

 

key for input data ndarray, default is empty - raw data

key_droplets

 

key for output list of peaks as std::vector<AlgDroplet::Droplet> (default is empty - do not save)

key_smeared  

threshold_low

10

low threshold on pixel amplitude

threshold_high

100

high threshold on pixel amplitude

sigma

1.5

width of the Gaussian for smearing; =0-no smearing

smear_radius

3

radius in pixel for smearing - radial size of matrix of weights

peak_radius

3

radius in pixel for peak finding - radial size of the region to search for local maximum

low_value0value substituted for pixels with intensity below threshold and outside window

windows

 

list of windows, each window is defined by 5 parameters; segment-index, rowmin, rowmax, colmin, colmax, separated by space. Default is empty - process all segments

mask path to the file with mask, by default (empty) mask is not used
masked_value0value substituted for masked pixels (0-masked, non-zero - good pixel)

fname_prefix

 

Common prefix for saved files. If non-empty - save files with image and list of droplets for each event with found droplets. The file name is formed as <prefix>-r####-e######-<suffix>.txt, where hash stands for number (0-9), suffix may be raw, smeared, or peaks. Default is empty - do not save files.

print_bits

0

module verbosity:

  • =0 - print nothing,
  • +1 - input pars in the beginJob(...),
  • +2 - summary in the endJob(...),
  • +4 - number of droplets/peaks in the event,
  • +8 - array of peak parameters in the event,
  • +16 - print info about saved files (if they are saved)
  • +64 - info messages from smearing and droplet finding algorithms, 
  • +128 - debugging messages from smearing and droplet finding algorithms,
  • +256 - details for debugging; messages from windows parser, window parameters accounting for segment limits,
  • != 0  - all warning messages

Remarks:

  • if print_bits is not zero - warning messages will be printed.
  • Saves table of droplets/peaks as  ndarray<float,2> with shape=[ndroplets,6]  (see struct Droplet) if the keyword  peaks_droplets is non-empty.
  • A set of threshold parameters should be different in cases when smearing is applied (sigma is not zero) or not.

See  See also Example for Module ImgAlgos::NDArrCalib,

Test of the NDArrCalib module for pnCCD.

NDArrDropletFinder

 

Module ImgAlgos::PixCoordsProducer

...

This module is a part of complex algorithm, described in Command Line Interface For Time Correlation Analysis.

This module is designed for parallel image processing for correlation analysis.
Functionality:

...

This package contains python modules which work with both frameworks pyana and psana. Functionality of these modules resembles modules from C++ package ImgAlgos. The difference between two frameworks at code level is explained in Migration from pyana to psana.

Module pyimgalgos.cspad_arr_producer

...

The translator package include the H5Output module which translates xtc to hdf5. For more  information see the page Outdated: The XTC - to - HDF5 Translator

Package psana_test
Anchor
psana_test
psana_test

The psana_test package includes the psana module dump, some Python library code for testing, and a command line tool for providing a line oriented dump of xtc files. The psana_test package is primarily for psana developers to do software testing, however the dump module and xtclinedump can be generally useful to users.

module dump

The dump module . This will take a standard psana datasource and dump all the event, config, and epics data found. The entire contents of large arrays are not printed. However a checksum over all the array data is, as well as the min, 25th percentile, median, 75th percentile, and max over the data. The dump module does not serve as a good example of how to retrieve and work with objects from the event store – see the psana_examples package for this. The psana_test package is primarily for psana developers to do software testing.

...

Running psana_test dump

An example of running the module is

...

epics = False       do not print epics
aliases = False do not print the EPICS alias list
dump_aliases=True follow EPICS aliases to print the EPICS pv's they point to
dump_sml=True dump the small data type (if found, psana should automatically replace these proxies)
regress_dump=True do not print the DAQ assigned pvId when printing EPICS printing EPICS
dump_beginjob_evt=False do not dump begin job data
output_file = filename write output to filename
config = False do not print the contents of the configStore, only regular event data
counter = False do not print the counter string that labels event numbers and calib cycle numbers
header = False
indent = 4 change the indent from the default of 2 to 4

...

Code Block
languagepython
from psana_test import obj2str, epicsPvToStr

def getPsanaState(event, configStore, epicsStore):
    evtDict = {}
    cfgDict = {}
    epicsDict = {}
    for key in event.keys():
        if key.type() is None: continue
        obj = event.get(key.type(), key.src(), key.key())
        if (obj is None): continue
        if not hasattr(obj,'TypeId'):  continue
        evtDict[str(key)]=obj2str(obj)
    for key in configStore.keys():
        if key.type() is None: continue
        obj = configStore.get(key.type(), key.src())
        if (obj is None): continue
        if not hasattr(obj,'TypeId'):  continue
        cfgDict[str(key)]=obj2str(obj)
    for pvName in epicsStore.pvNames():
        pv = epicsStore.getPV(pvName)
        if not pv: continue configStore.keys():
        epicsDict[pvName] = epicsPvToStr(pv)if key.type() is None: continue
    return evtDict, cfgDict, epicsDict

 

Package TimeTool

An example of how to use the TimeTool can be found Here.

Modules for analyzing recorded data from a timetool camera setup. The timetool camera measures the time difference between laser and FEL in one of two methods:

  1. spatial encoding, where the X-rays change the reflectivity of a material and the laser probesthat change by the incident angle of its wavefront; or
  2. spectral encoding, where the X-rays change the transmission of a material and the chirped laser probes it by a change in the spectral components of the transmitted laser.

Below the package modules are described. The package includes sample configuration files that describe all the options. From a psana release directory, users are encouraged to add the TimeTool package to obtain the latest source. For instance:

Code Block
newrel ana-current myrel
cd myrel
kinit  obj = configStore.get(key.type(), key.src())
        if (obj is None): continue
   # get ticket to check outif package from svn repository
addpkg TimeTool
sit_setup
scons
# now examine the files in TimeTool/data:  sxr_timetool.cfg  sxr_timetool_setup.cfg  timetool_setup.py  xpp_timetool.cfg  xpptut.cfg

 timetool_setup.py is a python script to calculate the digital filter weights.

Module Analyze

a module that analyzes the camera image by projecting a region of interest onto an axis and dividing by a reference projection acquired without the FEL.  The resulting projection is processed by a digital filter which yields a peak at the location of the change in reflectivity/transmission.  The resulting parameters are written into the psana event. Starting with ana-0.13.3, a TimeTool::DataV1 object will be placed in the event in addition to the set of doubles that have been placed in the past. A temporary solution for C++ to Python conversion was adding the option

put_ndarrays=True

to the config file. This wrote the doubles as ndarrays, but this will not be necessary with ana-0.13.3.

Module Check

a module that retrieves results from the event for either the above module or from data recorded online.

Module Setup

not hasattr(obj,'TypeId'):  continue
        cfgDict[str(key)]=obj2str(obj)
    for pvName in epicsStore.pvNames():
        pv = epicsStore.getPV(pvName)
        if not pv: continue
        epicsDict[pvName] = epicsPvToStr(pv)
    return evtDict, cfgDict, epicsDict

xtclinedump

xtclinedump is a command line tool to dump xtc and datagram header information in a line oriented style. By keeping the output for each header to one line, it makes it easy to use grep to filter the output. The command can be run by

Code Block
xtclinedump dg xtcfile.xtc
or
xtclinedump xtc xtcfile.xtc

The first just dumps datagram headers, the latter dumps xtc headers. There are some additional options, how much of the xtc payloads to print, and if you want parsed output for epics. A help string is available by typing xtclinedump with no arguments. Except for the non-default epics argument, xtclinedump does no parsing of the xtc payloads, it simply prints the first few bytes in hex. For reading through payloads, the intel architechture uses little endian, so 0x00040000 = 1024,a module that calculates the reference autocorrelation function from events without FEL for use in the digital filter construction.

References

 

 

 

 

 

 

 

 

 

 

dump_sml            dump small data type