Overscan & bias correction with the eotest package Bela - - PowerPoint PPT Presentation

Overscan & bias correction with the eotest package

Bela Abolfathi (UC Irvine) Sensor Characterization, Analysis and Simulation LSST2018 Project & Community Workshop

• 1

eotest

• Set of electro-optical acquisition and analysis scripts to test the performance of the Raft Tower Modules (RTMs)
• Testing performed at the Test Stand 8 (TS8) workstation in Camera Cleanroom Facility at SLAC

https://github.com/lsst-camera-dh/eotest

image_utils.py

current methods for modeling the overscan in eotest.image_utils

2

image

• verscan model

image - overscan model image - overscan model - median bias

mean of the

• verscan region

polynomial fit (deg 1)

E2V-CCD250-220-Dev_sflat_500_flat_H026_20180124170147.fits

RTM 005

Run: 5715D Sensor: S00

• ffset correction

3

how well do these methods characterize the offset?

RTM 005

Run: 5715D Sensor: S02

4

E2V-CCD250-154-Dev_sflat_bias_000_5715D_20180124164816.fits E2V-CCD250-220-Dev_sflat_bias_000_5715D_20180124164816.fits

RTM 005

Run: 5715D Sensor: S00

calculate bias level as the mean per row

5

image

• verscan model

image - overscan model image - overscan model - median bias

new offset calculation

E2V-CCD250-220-Dev_sflat_500_flat_H026_20180124170147.fits

RTM 005

Run: 5715D Sensor: S00

compare w/ processCCD

isr.overscanCorrection(ampMaskedImage, overscanImage, fitType=‘POLY') isr.biasCorrection(maskedImage, biasMaskedImage)

isrTask.py

eotest.image_utils.bias_row()

6

E2V-CCD250-220-Dev_sflat_500_flat_H026_20180124170147.fits

RTM 005

Run: 5715D Sensor: S00

• Submitted PR
• Passing all tests and should be

ready to merge with master

Status: