论文标题
NICPOLPY PYTHON中NIC极化模式的数据减少过程和管道
Data Reduction Process and Pipeline for the NIC Polarimetry Mode in Python, NICpolpy
论文作者
论文摘要
Nishiharima红外摄像头（NIC）极化模式的系统减少数据减少了，并将其实施到一个打开的软件中，称为NICPOLPY在编程语言Python中（在书写时在版本3.8---3.10上进行了测试）。除了经典方法，包括垂直模式去除，已经实施了一种新的对角线模式（傅立叶模式）的方法。每个图像都进行了四个减少步骤，从而导致“ 1级”至“ 4级”产品以及夜间校准框架。提供了简单的教程和深入的描述，以及算法的描述。分析了圆顶扁平框架（在UT 2020-06-03上采用），并发现了容易受到扁平误差的像素位置。使用黑暗和平坦的框架，检测器参数，增益因子（转换因子）和读取噪声也会更新。我们发现增益因子和读数噪声可能是像素或“象限”上的常数。
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".
