The Local Ultraviolet to Infrared Treasury I. Survey Overview of the Broadband Imaging

TL;DR

The LUVIT survey provides comprehensive multiband stellar catalogs for 23 star-forming galaxies, combining new and archival data to enable detailed stellar population analysis across ultraviolet to infrared wavelengths.

Contribution

This paper introduces the LUVIT survey's design, data reduction process, and presents the first multiband stellar catalogs for low-mass galaxies from ultraviolet to infrared.

Findings

Detailed multiband stellar catalogs for 23 galaxies produced.

Assessment of photometric completeness and biases across filters.

Identification of regions in CMDs with different detection properties.

Abstract

The Local Ultraviolet to Infrared Treasury (LUVIT) is a Hubble Space Telescope program that combines newly acquired data in the near ultraviolet (NUV), optical, and near infrared (NIR) with archival optical and NIR imaging to produce multiband panchromatic resolved stellar catalogs for 23 pointings in 22 low-mass, star-forming galaxies ranging in distance from the outskirts of the Local Group to ~3.8 Mpc. We describe the survey design, detail the LUVIT broadband filter observations and the archival datasets included in the LUVIT reductions, and summarize the simultaneous multiband data reduction steps. The spatial distributions and color-magnitude diagrams (CMDs) from the resulting stellar catalogs are presented for each target, from the NUV to the NIR. We demonstrate in which regions of the CMDs stars with NUV and optical, optical and NIR, and NUV through NIR detections reside. For each target, we use the results from artificial star tests to measure representative completeness, bias, and total photometric uncertainty as a function of magnitude in each broadband filter. We also assess which LUVIT targets have significant spatial variation in the fraction of stars recovered at a given magnitude. The panchromatic LUVIT stellar catalogs will provide a rich legacy dataset for a host of resolved stellar population studies.