Advanced optimal extraction for the Spitzer/IRS

TL;DR

This paper introduces advanced algorithms for optimal spectral extraction of point sources from Spitzer/IRS data, including super-sampled PSFs and handling complex backgrounds, implemented in the Adopt plugin of SMART.

Contribution

It presents the first super-sampled PSF for low-resolution modules and new algorithms for extracting multiple sources with complex backgrounds.

Findings

Enhanced spectral extraction accuracy for point sources.

Ability to extract multiple sources simultaneously.

Improved handling of complex background emissions.

Abstract

We present new advances in the spectral extraction of point-like sources adapted to the Infrared Spectrograph onboard the Spitzer Space Telescope. For the first time, we created a super-sampled point spread function of the low-resolution modules. We describe how to use the point spread function to perform optimal extraction of a single source and of multiple sources within the slit. We also examine the case of the optimal extraction of one or several sources with a complex background. The new algorithms are gathered in a plugin called Adopt which is part of the SMART data analysis software.