Dark data processing algorithms include pixel status evaluation which is saved in calibration files of type pixel_status. This note explains how to find definition and statistics of the bad pixel bits.

Algorithm

Bad pixel statistics

Dark data processing scripts dumps in the log file information about bad pixel statistics, for example in case of jungfrau:

log file information about bad pixel statistics

raw data found/selected in 999 events
[I] L0688 begin data summary stage
[I] L0111 evaluate_limits RMS: ave=4.783 std=1.303 limits low=0.001 high=12.604
[I] L0111 evaluate_limits AVE: ave=14191.873 std=457.903 limits low=11444.455 high=16000.000

[I] L0733 bad pixel status:
status 1: 244 pixel rms > 12.604
status 2: 550 pixel rms < 0.001
status 4: 418 pixel intensity > 16000 in more than 0.1 fraction of events
status 8: 132 pixel intensity < 1 in more than 0.1 fraction of events
status 16: 0 pixel average > 16000
status 32: 918 pixel average < 11444.5
[I] L0108 status 64: 139 pixel with bad gain mode switch for jungfrau only!

Dark data processing algorithm

Dark data processing algorithm evolved for a long time. The most advanced version, implemented for calibration of jungfrau panels, is described here.

dark raw data is accumulated in array block[nrecs1,<2d-shape-of-data>] for a portion of events nrecs1=50. It would be nice to accumulate it for entire volume of events (nrecs=1000), but some of detectors are too big, that causes problem with memory.
pre-process data from block, use median and quantile for fraclo=0.05 and fcachi=0.95 fraction of spectral events to estimate mean value and valid gate intensity limits, resperctively.
use gated average algorithm to process events in block and all other events (nrecs=1000) requested for dark processing.
in summary, evaluate mean, rms, max/min values, and process a few statistical cumulative arrays, which produces information about bad pixels.

Bad pixel status algorithms

For arrays of per-pixel mean intensity and rms, obtained in gated average algorithm, we use parameters of absolute limits and number of sigma

int_lo=1, int_hi=16000, intnlo=6, intnhi=6

rms_lo=0.001, rms_hi=16000, rmsnlo=6, rmsnhi=6

and dynamically evaluate limits for good parameters from spectra.

evaluate_limits

def evaluate_limits(arr, nneg=5, npos=5, lim_lo=1, lim_hi=16000, ...):
    ave, std = (arr.mean(), arr.std())
    lo = ave-nneg*std if nneg>0 else lim_lo
    hi = ave+npos*std if npos>0 else lim_hi
    lo, hi = max(lo, lim_lo), min(hi, lim_hi)
    return lo, hi

Bad pixel bits assignment

status 0: good pixel

status 1: pixel rms exceeds its maximal value for good pixels defined by rms_hi=16000, rmsnhi=6

status 2: pixel rms lower than its minimal value for good pixels defined by rms_lo=0.001, rmsnlo=6

status 4: pixel intensity exceeds int_hi=16000 in more than fraclm=0.1 fraction of events

status 8: pixel intensity lower than int_lo=1 in more than fraclm=0.1 fraction of events

status 16: pixel average intensity exceeds its maximal value for good pixels defined by int_hi=16000, intnhi=6

status 32: pixel average intensity lower than its minimal value for good pixels defined by int_lo=1, intnlo=6

status 64: for jungfrau only pixel with bad gain mode switch.

Finding Bad Pixel status information

Due to algorithms evolution precise bad pixel bit assignment may be different from description above. The best source of true information about bad pixel content and statistics is the log file. Another option is to look at code. Tables of this note contain references to both sources of information for different type of commands/detectors.

LCLS

Detector	Dark processing command	Log files directory	Log file name	Code
epix10ka	epix10ka_pedestals_calibration	/reg/g/psdm/detector/gains/epix10k/panels/logs/<year>/	<timestamp>_log_epix10ka_pedestals_calibration_<uid>.txt	UtilsEpix10kaCalib.py#L522
jungfrau	jungfrau_dark_proc	/reg/g/psdm/detector/gains/jungfrau/panels/logs/<year>/	<timestamp>_log_jungfrau_dark_proc_<uid>.txt	UtilsCalib.py#L727
other detectors	calibrun → det_ndarr_dark_proc	/reg/g/psdm/logs/calibman/<year>/<month>/	<time-stamp>-log-<login>-<job-id>.txt	det_ndarr_raw_proc#L337

Examples

/reg/g/psdm/detector/gains/epix10k/panels/logs/2022/2022-07-05T142149_log_epix10ka_pedestals_calibration_jortiz.txt

process panel:15 id:0000000002-0173621761-3221225494-1014046789-0019435010-0000000000-0000000000
[I] L0111 evaluate_limits RMS: ave=3.418 std=0.344  limits low=1.353 high=5.483
[I] L0111 evaluate_limits AVE: ave=3155.633 std=147.439  limits low=2271.000 high=4040.267
[I] L0528 Bad pixel status:
  status  1:       35 pixel rms       > 5.483
  status  2:        0 pixel rms       < 1.353
  status  4:        0 pixel intensity > 16000 in more than 0.1 fraction of events
  status  8:        0 pixel intensity < 1 in more than 0.1 fraction of events
  status 16:       13 pixel average   > 4040.27
  status 32:      354 pixel average   < 2271

/reg/g/psdm/detector/gains/epix10k/panels/logs/2022/2022-07-05T142149_log_epix10ka_pedestals_calibration_jortiz.txt

raw data found/selected in 999 events
[I] L0688 begin data summary stage
[I] L0111 evaluate_limits RMS: ave=4.783 std=1.303  limits low=0.001 high=12.604
[I] L0111 evaluate_limits AVE: ave=14191.873 std=457.903  limits low=11444.455 high=16000.000
[I] L0733 bad pixel status:
  status  1:      244 pixel rms       > 12.604
  status  2:      550 pixel rms       < 0.001
  status  4:      418 pixel intensity > 16000 in more than 0.1 fraction of events
  status  8:      132 pixel intensity < 1 in more than 0.1 fraction of events
  status 16:        0 pixel average   > 16000
  status 32:      918 pixel average   < 11444.5
[I] L0108 
  status 64:      139 pixel with bad gain mode switch

/reg/g/psdm/logs/calibman/2022/07/2022-07-05-14:24:06-log-jortiz-131554.txt

Raw data for XcsEndstation.0:Epix100a.1 found/selected in 1001 events , begin data summary stage
  evaluate_limits: RMS ave, std = 3.411, 0.276  low, high limits = 1.500, 7.000
  evaluate_limits: AVE ave, std = 4515.065, 203.890  low, high limits = 10.000, 10000.000
  Bad pixel status:
  status  1:      134 pixel rms       > 7.000
  status  8:        5 pixel rms       < 1.500
  status  2:        6 pixel intensity > 10000 in more than 0.1 fraction of events
  status  4:        0 pixel intensity < 10 in more than 0.1 fraction of events
  status 16:        0 pixel average   > 10000
  status 32:        5 pixel average   < 10

LCLS-II

Detector	Dark processing command	Log file directory	Log file name	Code
epix10ka	epix10ka_pedestals_calibration	/cds/group/psdm/detector/gains2/epix10ka/panels/logs/<year>/	<time-stamp>_log_epix10ka_pedestals_calibration_<uid>txt	UtilsEpix10kaCalib.py#L355
epix100a/opal/etc	det_dark_proc	/cds/group/psdm/detector/calib2/epix100/logs/<year>/	<time-stamp>_log_det_dark_proc_<uid>.txt	UtilsCalib.py#L281

Examples

/cds/group/psdm/detector/calib2/epix100/logs/2022/2022-03-01T071247_log_det_dark_proc_akamalov.txt

[I] L0230 ________________________________________________________________________________
raw data found/selected in 1000 events
[I] L0233 begin data summary stage
[I] L0279 bad pixel status:
  status  1:      300 pixel rms       > 6.533
  status  2:        1 pixel rms       < 0.001
  status  4:     1434 pixel intensity > 16000 in more than 0.1 fraction of events
  status  8:    10170 pixel intensity < 1 in more than 0.1 fraction of events
  status 16:       31 pixel average   > 5280.34
  status 32:        2 pixel average   < 2692.9

/cds/group/psdm/detector/gains2/epix10ka/panels/logs/2022/2022-04-06T163108_log_epix10ka_pedestals_calibration_xshen.txt

[I] L0275 Pre-processing time 16.339 sec
Results for median over pixels intensities:
    0.500 fraction of the event spectrum is below 2901.542 ADU - pedestal estimator
    0.050 fraction of the event spectrum is below 2896.826 ADU - gate low limit
    0.950 fraction of the event spectrum is below 2906.187 ADU - gate upper limit
    event spectrum spread    median(abs(raw-med)): 1.869 ADU - spectral peak width estimator
[I] L0361 Bad pixel status:
  status  1:        6 pixel rms       > 3.898
  status  2:        0 pixel rms       < 0.944
  status  4:        0 pixel intensity > 16000 in more than 0.1 fraction of events
  status  8:        0 pixel intensity < 1 in more than 0.1 fraction of events
  status 16:        2 pixel average   > 3821.78
  status 32:        0 pixel average   < 1986.12

References

Calibration Scripts Repository and Logging
calibrun - LCLS CLI for dark processing
Dark processing for LCLS2 area detectors
Jungfrau and Epix10ka Calibration

Bad Pixel Status

Algorithm

Bad pixel statistics

Dark data processing algorithm

Bad pixel status algorithms

Finding Bad Pixel status information

LCLS

Examples

LCLS-II

Examples

References