Spelunker: A quick-look Python pipeline for JWST NIRISS FGS Guide Star Data

Derod Deal, N'estor Espinoza
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Abstract

The James Webb Space Telescope produces some of the highest sensitivity imaging of the cosmos across all instruments. One of them, the NIRISS Fine Guidance Sensor, provides guide star imaging with a passband of 0.6 to 5 microns through two separate channels, each with a 2.3' x 2.3' field of view (FOV) and a sampling rate of 64 ms$-$data that is taken in parallel and is thus available for every JWST observing program. While the onboard system uses guide stars to provide information to the attitude control system (ACS), which stabilizes the observatory, the astronomical community can also use the data products associated with these 64 ms cadence images as science products. Usages range from studying guide star photometry in search of transient phenomena to using these data to identify and investigate technical anomalies that might occur during scientific observations with the rest of the JWST instruments. Despite this wide range of possible usages, these data products are not straightforward to manipulate and analyze, and there is no publicly available package to download, investigate, and research guide star data. Spelunker is a Python library that was developed to enable access to these guide star data products and their analysis.
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Spelunker:快速查看 JWST NIRISSFGS 导向星数据的 Python 管道
詹姆斯-韦伯太空望远镜的所有仪器都能产生灵敏度最高的宇宙成像。其中的近红外精细制导传感器(NIRISS Fine Guidance Sensor)通过两个独立通道提供 0.6 至 5 微米通带的导引星成像,每个通道的视场(FOV)为 2.3' x 2.3',采样率为 64 ms$$--数据是并行采集的,因此可用于每个 JWST 观测计划。虽然星载系统使用导引星为姿态控制系统(ACS)提供信息,从而稳定观测站,但天文学界也可以使用与这些 64 毫秒节奏图像相关的数据产品作为科学产品。用途包括研究导引星光度以寻找瞬变现象,以及利用这些数据来识别和调查在使用 JWST 其他仪器进行科学观测时可能出现的技术异常。尽管可能的用途如此广泛,但这些数据产品的操作和分析却并不简单,目前还没有公开可用的软件包来下载、调查和研究导引星数据。Spelunker 是一个 Python 库,其开发目的是为了能够访问这些导引星数据产品并对其进行分析。
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