[PIPE2D-1180] profile isrTask reducing n arm

Fri, 5 May 2023 03:09:52 +0000

When reducing n2 data at LAM, we noticed that it takes quite a long time (~2min30) to get an postISR image, please profile the current code and try to find improvement that would shorten that time.

FYI, that how we get those images :

import numpy as np
from lsst.obs.pfs.isrTask import PfsIsrTask as IsrTask

config = IsrTask.ConfigClass()
config.doBias = False
config.doDark = False
config.doFringe = False
config.doFlat = False
config.doLinearize = False
config.doDefect = True
config.doIPC = True
config.ipcCoeffs = np.array([13e-3, 6e-3])
config.doSaturationInterpolation = False
config.validate()

isrTask = IsrTask(config=config)

raw = butler.get('raw', dataId=dataId)
defects = butler.get('defects', dataId)
calexp = isrTask.run(raw, defects=defects)

PFS-JIRA

[PIPE2D-1180] profile isrTask reducing n arm