A SPHEREx Pipeline and Spectral Library for Ultracool Dwarfs
Jonathan Gagn\'e (1, 2), Jacqueline K. Faherty (3), Azul Ruiz Diaz (1, 2), Louis-Philippe Coulombe (1, 2), Thomas P. Bickle (4), Adam C. Schneider (5), J. Davy Kirkpatrick (6), Marc J. Kuchner (7), Aaron M. Meisner (8), Dan Caselden (3), Adam J. Burgasser (9)

TL;DR
This paper introduces a Python tool for extracting spectrophotometry from SPHEREx data, significantly expanding the spectral data available for ultracool dwarfs and enabling detailed atmospheric studies.
Contribution
It provides a new pipeline and spectral library for ultracool dwarfs, doubling the number with spectroscopy and facilitating automated spectral typing and population analysis.
Findings
Over 6000 ultracool dwarfs with spectrophotometry now available.
Spectral data covers 0.75-5.0 μm with high signal-to-noise for bright objects.
Identified candidates for young brown dwarfs, subdwarfs, and peculiar objects.
Abstract
We present a Python spectrophotometry extraction tool tailored for fast-moving point sources detected in the SPHEREx mission, and use it to construct a set of 0.75-5.0 m low-resolution () spectrophotometry data products based on the SPHEREx Quick Release 2 (QR2) for a set of 6003 L0-Y1 ultracool dwarfs: 2050 known ultracool dwarfs, 3008 known photometric ultracool dwarf candidates, and 947 newly identified ultracool dwarfs. This work more than doubles the number of ultracool dwarfs with spectroscopy, from 3449 to 7402. We provide SPHEREx templates for each spectral subtype and a set of tools to assign automated spectral types. The QR2 data release generates spectrophotometry with an average signal-to-noise per spectral channel above 10 for most objects with WISE W2 magnitudes of 14.0 mag and brighter. The compiled data set is made available…
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