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  1. Data Management
  2. DM-25984

Investigate why the afw means of flat images are NANs for several amps of BOT data after DM-25934

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    Details

    • Type: Bug
    • Status: Done
    • Resolution: Done
    • Fix Version/s: None
    • Component/s: cp_pipe
    • Labels:
      None

      Description

      Craig Lage reports that after implementing masks to calculate clipped statistics DM-25934, the mean values of several amplifiers are now NAN (they had a reasonable value before the DM-25934). Investigate the cause and fix it.

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            plazas Andrés Alejandro Plazas Malagón added a comment -

            BOT data:

            measurePhotonTransferCurve.py /project/cslage/BOT_lspdev/E2V_6790D_Gain_Edge7_R22S11 --output /project/cslage/BOT_lspdev/E2V_6790D_Gain_Edge7_R22S11 --id detector=94 --visit-pairs 3019101200480,3019101200481 3019101300081,3019101300082 3019101300102,3019101300103 3019101200468,3019101200469 3019101200385,3019101200386 3019101200236,3019101200237 3019101300012,3019101300013 3019101200429,3019101200430 3019101300240,3019101300241 3019101200302,3019101200303  -c maxMeanSignal=100000 maskNameList=[BAD,NO_DATA,SUSPECT] --clobber-config
            

            (the config options in the command above are passed in a config file via -C. The command is pasted here like this for reference to the repository and the data).

            Plots with the bad amplifiers: PTC_DM25934_det94.pdf
            Plots before DM-25934: PTC_W28_det94.pdf

            A lot of points when fitting the PTC are being rejected:

            Before DM-25934 (W_28):

            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C10: 2 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C11: 3 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C12: 3 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C13: 2 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C14: 2 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C15: 3 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C16: 2 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C17: 2 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C07: 3 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C06: 3 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C05: 3 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C04: 2 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C03: 3 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C02: 3 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C01: 3 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C00: 2 out of 10
            

            After:

            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C11: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C11 to BAD.
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C12: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C12 to BAD.
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C13: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C13 to BAD.
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C14: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C14 to BAD.
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C15: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C15 to BAD.
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C16: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C16 to BAD.
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C17: 2 out of 10
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C07: 3 out of 10
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C06: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C06 to BAD.
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C05: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C05 to BAD.
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C04: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C04 to BAD.
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C03: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C03 to BAD.
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C02: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C02 to BAD.
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C01: 10 out of 10
            measurePhotonTransferCurve WARN: 
            SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C01 to BAD.
            measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9]
            measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C00: 2 out of 10
            

            Craig reports that The failing amps have a nan value in the meanVecOrig array that isn't present in the W28 code, and this is causing the mask array to be all bad. One of the amps which passes:

            Initial, meanVecOrig C00 [   191.1760555    1136.83632573    289.33204124   4852.14738495
                575.43153566    852.88256794  19155.95146335  42638.27287383
              87798.04994242 158683.6015625 ]
            Initial, goodPoints C00 [False  True  True  True  True  True  True  True  True False]
            Initial, mask C00 [False  True  True  True  True  True  True  True  True False]
            In loop, counter = 1, 2 dropped points for amp C00
            In loop, counter = 2, 2 dropped points for amp C00
            

            One of the amps which fails:

            Initial, meanVecOrig C01 [  191.3205181   1136.98362194   289.46842014  4850.88752042
               575.55600463   852.64695499 19154.27634537 42655.94247219
             87883.20756922            nan]
            Initial, goodPoints C01 [False False False False False False False False False False]
            Initial, mask C01 [False False False False False False False False False False]
            In loop, counter = 1, 10 dropped points for amp C01
            In loop, counter = 2, 10 dropped points for amp C01
            

            Crag: In the W28 code, the rawMean value for that highest point is 158683.6015625, but in the DM-25934 code it is nan. The nans are the cause of the problem:

            Mu1, Mu2, Mu 158933.296875 158433.90625 158683.6015625
            /lsstdata/user/staff/jhome/cslage/alternate_branches/cp_pipe/python/lsst/cp/pipe/astierCovPtcUtils.py:89: RuntimeWarning: invalid value encountered in double_scalars
              cov1 = self.pCov[dy, dx]/nPix1-self.pMean[dy, dx]*self.pMean[-dy, -dx]/(nPix1*nPix1)
            /lsstdata/user/staff/jhome/cslage/alternate_branches/cp_pipe/python/lsst/cp/pipe/astierCovPtcUtils.py:93: RuntimeWarning: invalid value encountered in double_scalars
              cov2 = self.pCov[-dy, dx]/nPix2-self.pMean[-dy, dx]*self.pMean[dy, -dx]/(nPix2*nPix2)
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu 158933.296875 158433.90625 158683.6015625
            Mu1, Mu2, Mu 158933.296875 158433.90625 158683.6015625
            Mu1, Mu2, Mu 158933.296875 nan nan
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu nan nan nan
            Mu1, Mu2, Mu 158933.296875 158433.90625 158683.6015625
            

            The number of pixels that are being masked is only ~200.

            Show
            plazas Andrés Alejandro Plazas Malagón added a comment - BOT data: measurePhotonTransferCurve.py /project/cslage/BOT_lspdev/E2V_6790D_Gain_Edge7_R22S11 --output /project/cslage/BOT_lspdev/E2V_6790D_Gain_Edge7_R22S11 --id detector=94 --visit-pairs 3019101200480,3019101200481 3019101300081,3019101300082 3019101300102,3019101300103 3019101200468,3019101200469 3019101200385,3019101200386 3019101200236,3019101200237 3019101300012,3019101300013 3019101200429,3019101200430 3019101300240,3019101300241 3019101200302,3019101200303 -c maxMeanSignal=100000 maskNameList=[BAD,NO_DATA,SUSPECT] --clobber-config (the config options in the command above are passed in a config file via -C . The command is pasted here like this for reference to the repository and the data). Plots with the bad amplifiers: PTC_DM25934_det94.pdf Plots before DM-25934 : PTC_W28_det94.pdf A lot of points when fitting the PTC are being rejected: Before DM-25934 (W_28): measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C10: 2 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C11: 3 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C12: 3 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C13: 2 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C14: 2 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C15: 3 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C16: 2 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C17: 2 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C07: 3 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C06: 3 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C05: 3 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C04: 2 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C03: 3 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C02: 3 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C01: 3 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C00: 2 out of 10 After: measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C11: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C11 to BAD. measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C12: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C12 to BAD. measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C13: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C13 to BAD. measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C14: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C14 to BAD. measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C15: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C15 to BAD. measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C16: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C16 to BAD. measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C17: 2 out of 10 measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C07: 3 out of 10 measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C06: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C06 to BAD. measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C05: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C05 to BAD. measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C04: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C04 to BAD. measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C03: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C03 to BAD. measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C02: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C02 to BAD. measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C01: 10 out of 10 measurePhotonTransferCurve WARN: SERIOUS: Not enough data points (0) compared to the number ofparameters of the PTC model(4). Setting C01 to BAD. measurePhotonTransferCurve WARN: Found 1 zeros in array at elements [9] measurePhotonTransferCurve INFO: Number of points discarded in PTC of amplifier C00: 2 out of 10 Craig reports that The failing amps have a nan value in the meanVecOrig array that isn't present in the W28 code, and this is causing the mask array to be all bad. One of the amps which passes: Initial, meanVecOrig C00 [ 191.1760555 1136.83632573 289.33204124 4852.14738495 575.43153566 852.88256794 19155.95146335 42638.27287383 87798.04994242 158683.6015625 ] Initial, goodPoints C00 [False True True True True True True True True False] Initial, mask C00 [False True True True True True True True True False] In loop, counter = 1, 2 dropped points for amp C00 In loop, counter = 2, 2 dropped points for amp C00 One of the amps which fails: Initial, meanVecOrig C01 [ 191.3205181 1136.98362194 289.46842014 4850.88752042 575.55600463 852.64695499 19154.27634537 42655.94247219 87883.20756922 nan] Initial, goodPoints C01 [False False False False False False False False False False] Initial, mask C01 [False False False False False False False False False False] In loop, counter = 1, 10 dropped points for amp C01 In loop, counter = 2, 10 dropped points for amp C01 Crag: In the W28 code, the rawMean value for that highest point is 158683.6015625, but in the DM-25934 code it is nan. The nans are the cause of the problem: Mu1, Mu2, Mu 158933.296875 158433.90625 158683.6015625 /lsstdata/user/staff/jhome/cslage/alternate_branches/cp_pipe/python/lsst/cp/pipe/astierCovPtcUtils.py:89: RuntimeWarning: invalid value encountered in double_scalars cov1 = self.pCov[dy, dx]/nPix1-self.pMean[dy, dx]*self.pMean[-dy, -dx]/(nPix1*nPix1) /lsstdata/user/staff/jhome/cslage/alternate_branches/cp_pipe/python/lsst/cp/pipe/astierCovPtcUtils.py:93: RuntimeWarning: invalid value encountered in double_scalars cov2 = self.pCov[-dy, dx]/nPix2-self.pMean[-dy, dx]*self.pMean[dy, -dx]/(nPix2*nPix2) Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu 158933.296875 158433.90625 158683.6015625 Mu1, Mu2, Mu 158933.296875 158433.90625 158683.6015625 Mu1, Mu2, Mu 158933.296875 nan nan Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu nan nan nan Mu1, Mu2, Mu 158933.296875 158433.90625 158683.6015625 The number of pixels that are being masked is only ~200.
            Hide
            cslage Craig Lage added a comment -

            Craig here.  OK, I see what's happening.  I printed out the andMask values, the number of pixels masked, and the image means (in ADU).  For a non-saturated flat pair, you get:

            im1AndMask, im2AndMask 289 289
            im1Masked, im2Masked 212.0 212.0
            Mu1, Mu2, Mu 42638.418424087875 42638.127323581764 42638.27287383482

            Only a few hundred pixels are masked.  But for the highest flux image, which is saturated (it gives about 158000 ADU with the W28 program), you get:

            im1AndMask, im2AndMask 289 289
            im1Masked, im2Masked 1025024.0 1025024.0
            Mu1, Mu2, Mu nan nan nan

            There are 512*2002 = 1025024 pixels total.  So all of the pixels are masked out, so the mean gets returned as nan.  There must be code somewhere which is flagging the saturated pixels as either BAD, DETECTED, or NO_DATA.  I'm not sure what the fix is at this point, but this is the cause of the problem.

            Show
            cslage Craig Lage added a comment - Craig here.  OK, I see what's happening.  I printed out the andMask values, the number of pixels masked, and the image means (in ADU).  For a non-saturated flat pair, you get: im1AndMask, im2AndMask 289 289 im1Masked, im2Masked 212.0 212.0 Mu1, Mu2, Mu 42638.418424087875 42638.127323581764 42638.27287383482 Only a few hundred pixels are masked.  But for the highest flux image, which is saturated (it gives about 158000 ADU with the W28 program), you get: im1AndMask, im2AndMask 289 289 im1Masked, im2Masked 1025024.0 1025024.0 Mu1, Mu2, Mu nan nan nan There are 512*2002 = 1025024 pixels total.  So all of the pixels are masked out, so the mean gets returned as nan.  There must be code somewhere which is flagging the saturated pixels as either BAD, DETECTED, or NO_DATA.  I'm not sure what the fix is at this point, but this is the cause of the problem.
            Hide
            cslage Craig Lage added a comment -

            Andrés asked for the isr command line.  Here it is.  There were 214 visits, and I've removed most of them just for brevity.  Let me know if you need them all.

            runIsr.py /project/cslage/BOT_lspdev/E2V_6790D_Gain_Edge4_10_R22S11 --rerun /project/cslage/BOT_lspdev/E2V_6790D_Gain_Edge4_10_R22S11 --id detector=94 expId=3019101200480^3019101200481^... -c isr.doBias=True isr.doDark=True isr.doSuspect=True isr.doDefect=True isr.overscan.fitType=MEDIAN_PER_ROW isr.overscan.order=1 isr.doCrosstalk=False isr.numEdgeSuspect=10 --clobber-config

            Show
            cslage Craig Lage added a comment - Andrés asked for the isr command line.  Here it is.  There were 214 visits, and I've removed most of them just for brevity.  Let me know if you need them all. runIsr.py /project/cslage/BOT_lspdev/E2V_6790D_Gain_Edge4_10_R22S11 --rerun /project/cslage/BOT_lspdev/E2V_6790D_Gain_Edge4_10_R22S11 --id detector=94 expId=3019101200480^3019101200481^... -c isr.doBias=True isr.doDark=True isr.doSuspect=True isr.doDefect=True isr.overscan.fitType=MEDIAN_PER_ROW isr.overscan.order=1 isr.doCrosstalk=False isr.numEdgeSuspect=10 --clobber-config
            Hide
            mfisherlevine Merlin Fisher-Levine added a comment -

            Minor comments/questions, but basically good to go

            Show
            mfisherlevine Merlin Fisher-Levine added a comment - Minor comments/questions, but basically good to go
            Show
            plazas Andrés Alejandro Plazas Malagón added a comment - https://ci.lsst.codes/blue/organizations/jenkins/stack-os-matrix/detail/stack-os-matrix/32332/pipeline

              People

              Assignee:
              plazas Andrés Alejandro Plazas Malagón
              Reporter:
              plazas Andrés Alejandro Plazas Malagón
              Reviewers:
              Merlin Fisher-Levine
              Watchers:
              Andrés Alejandro Plazas Malagón, Christopher Waters, Craig Lage, John Swinbank, Merlin Fisher-Levine
              Votes:
              0 Vote for this issue
              Watchers:
              5 Start watching this issue

                Dates

                Created:
                Updated:
                Resolved: