Starkiller: subtracting stars and other sources from IFU spectroscopic data through forward modeling

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Ridden-Harper, Ryan, Bannister, Michele T., Deam, Sophie E., Nordlander, Thomas
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866908474240139264
author Ridden-Harper, Ryan
Bannister, Michele T.
Deam, Sophie E.
Nordlander, Thomas
author_facet Ridden-Harper, Ryan
Bannister, Michele T.
Deam, Sophie E.
Nordlander, Thomas
contents We present starkiller, an open-source Python package for forward-modeling flux retrieval from integral field unit spectrograph (IFU) datacubes. Starkiller simultaneously provides stellar spectral classification, relative velocity, and line-of-sight extinction for all sources in a catalog, alongside a source-subtracted datacube. It performs synthetic difference imaging by simulating all catalog sources in the field of view, using the catalog for positions and fluxes to scale stellar models, independent of the datacube. This differencing method is particularly powerful for subtracting both point-sources and trailed or even streaked sources from extended astronomical objects. We demonstrate starkiller's effectiveness in improving observations of extended sources in dense stellar fields for VLT/MUSE observations of comets, asteroids and nebulae. We also show that starkiller can treat satellite-impacted VLT/MUSE observations. The package could be applied to tasks as varied as dust extinction in clusters and stellar variability; the stellar modeling using Gaia fluxes is provided as a standalone function. The techniques can be expanded to imagers and to other IFUs.
format Preprint
id arxiv_https___arxiv_org_abs_2411_14705
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Starkiller: subtracting stars and other sources from IFU spectroscopic data through forward modeling
Ridden-Harper, Ryan
Bannister, Michele T.
Deam, Sophie E.
Nordlander, Thomas
Instrumentation and Methods for Astrophysics
Earth and Planetary Astrophysics
Solar and Stellar Astrophysics
We present starkiller, an open-source Python package for forward-modeling flux retrieval from integral field unit spectrograph (IFU) datacubes. Starkiller simultaneously provides stellar spectral classification, relative velocity, and line-of-sight extinction for all sources in a catalog, alongside a source-subtracted datacube. It performs synthetic difference imaging by simulating all catalog sources in the field of view, using the catalog for positions and fluxes to scale stellar models, independent of the datacube. This differencing method is particularly powerful for subtracting both point-sources and trailed or even streaked sources from extended astronomical objects. We demonstrate starkiller's effectiveness in improving observations of extended sources in dense stellar fields for VLT/MUSE observations of comets, asteroids and nebulae. We also show that starkiller can treat satellite-impacted VLT/MUSE observations. The package could be applied to tasks as varied as dust extinction in clusters and stellar variability; the stellar modeling using Gaia fluxes is provided as a standalone function. The techniques can be expanded to imagers and to other IFUs.
title Starkiller: subtracting stars and other sources from IFU spectroscopic data through forward modeling
topic Instrumentation and Methods for Astrophysics
Earth and Planetary Astrophysics
Solar and Stellar Astrophysics
url https://arxiv.org/abs/2411.14705