Data Reduction Process and Pipeline for the NIC Polarimetry Mode in Python, NICpolpy

Fuente: arXiv
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Main Authors: Bach, Yoonsoo P., Ishiguro, Masateru, Takahashi, Jun, Geem, Jooyeon
Format: Preprint
Published: 2022
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author Bach, Yoonsoo P.
Ishiguro, Masateru
Takahashi, Jun
Geem, Jooyeon
author_facet Bach, Yoonsoo P.
Ishiguro, Masateru
Takahashi, Jun
Geem, Jooyeon
contents A systematic way of data reduction for the Nishiharima Infrared Camera (NIC) polarimetry mode has been devised and implemented to an open software called NICpolpy in the programming language python (tested on version 3.8--3.10 as of writing). On top of the classical methods, including vertical pattern removal, a new way of diagonal pattern (Fourier pattern) removal has been implemented. Each image undergoes four reduction steps, resulting in "level 1" to "level 4" products, as well as nightly calibration frames. A simple tutorial and in-depth descriptions are provided, as well as the descriptions of algorithms. The dome flat frames (taken on UT 2020-06-03) were analyzed, and the pixel positions vulnerable to flat error were found. Using the dark and flat frames, the detector parameters, gain factor (the conversion factor), and readout noise are also updated. We found gain factor and readout noise are likely constants over pixel or "quadrant".
format Preprint
id arxiv_https___arxiv_org_abs_2212_14167
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Data Reduction Process and Pipeline for the NIC Polarimetry Mode in Python, NICpolpy
Bach, Yoonsoo P.
Ishiguro, Masateru
Takahashi, Jun
Geem, Jooyeon
Instrumentation and Methods for Astrophysics
A systematic way of data reduction for the Nishiharima Infrared Camera (NIC) polarimetry mode has been devised and implemented to an open software called NICpolpy in the programming language python (tested on version 3.8--3.10 as of writing). On top of the classical methods, including vertical pattern removal, a new way of diagonal pattern (Fourier pattern) removal has been implemented. Each image undergoes four reduction steps, resulting in "level 1" to "level 4" products, as well as nightly calibration frames. A simple tutorial and in-depth descriptions are provided, as well as the descriptions of algorithms. The dome flat frames (taken on UT 2020-06-03) were analyzed, and the pixel positions vulnerable to flat error were found. Using the dark and flat frames, the detector parameters, gain factor (the conversion factor), and readout noise are also updated. We found gain factor and readout noise are likely constants over pixel or "quadrant".
title Data Reduction Process and Pipeline for the NIC Polarimetry Mode in Python, NICpolpy
topic Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2212.14167