Substellar and low-mass dwarf identification with near-infrared imaging space observatories
B.W. Holwerda (1), J. S. Bridge (1), R. Ryan (2), M. A. Kenworthy (3),, N. Pirzkal (2), M. Andersen (4), S. Wilkins (5), R. Smit (6), S. R. Bernard, (7,8), T. Meshkat (9), R. Steele (1), R. C. Bouwens (3), (1, University of, Louisville), (2, STSCI), (3, Leiden Observatory), (4

TL;DR
This study evaluates the effectiveness of near-infrared space observatories in identifying and classifying brown dwarfs, highlighting the importance of specific filter combinations for accurate subtyping.
Contribution
It provides a comparative analysis of four major space observatories' capabilities in brown dwarf classification using near-infrared colors and suggests optimal filter combinations for improved identification.
Findings
Euclid filters perform poorly in brown dwarf typing.
WFIRST marginally better than Euclid, but still limited.
Adding medium-band filters improves subtyping accuracy.
Abstract
AIMS: We aim to evaluate the near-infrared colors of brown dwarfs as observed with four major infrared imaging space observatories: the Hubble Space Telescope (HST), the James Webb Space Telescope (JWST), the Euclid mission, and the WFIRST telescope. METHODS: We used the SPLAT SPEX/ISPEX spectroscopic library to map out the colors of the M-, L-, and T-type dwarfs. We have identified which color-color combination is optimal for identifying broad type and which single color is optimal to then identify the subtype (e.g., T0-9). We evaluated each observatory separately as well as the narrow-field (HST and JWST) and wide-field (Euclid and WFIRST) combinations. RESULTS: The Euclid filters perform poorly typing brown dwarfs and WFIRST performs only marginally better, despite a wider selection of filters. WFIRST's W146 and F062 combined with Euclid's Y-band discriminates somewhat better…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
