Papers
Topics
Authors
Recent
Search
2000 character limit reached

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

Published 8 May 2024 in astro-ph.IM, astro-ph.EP, astro-ph.GA, and astro-ph.SR | (2405.05453v1)

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.

Authors (2)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 3 tweets with 0 likes about this paper.