Hubble Space Telescope Imaging of Luminous Extragalactic Infrared Transients and Variables from the SPIRITS Survey
Howard E. Bond (1,2), Jacob E. Jencson (3), Patricia A. Whitelock, (4,5), Scott M. Adams (6,7), John Bally (8), Ann Marie Cody (9), Robert D., Gehrz (10), Mansi M. Kasliwal (6), Frank J. Masci (11) ((1) Pennsylvania, State University, (2) Space Telescope Science Institute

TL;DR
This study uses Hubble Space Telescope imaging to analyze luminous infrared transients and variables identified by the SPIRITS survey, revealing their nature, origins, and classifications in nearby galaxies.
Contribution
It provides detailed optical and near-IR follow-up of IR transients and variables, clarifying their classifications and origins, especially distinguishing between different types of dusty stellar objects.
Findings
Most variables are associated with star-forming regions, indicating massive star origins.
Many initially classified as transients are actually periodic or irregular variables.
Some SPRITEs are dusty classical novae or AGB stars with specific pulsation periods.
Abstract
SPIRITS--the SPitzer InfraRed Intensive Transients Survey--searched for luminous infrared (IR) transients and variables in nearly 200 nearby galaxies from 2014 to 2019, using the warm Spitzer telescope at 3.6 and 4.5 microns. Among the SPIRITS variables are IR-bright objects that are undetected in ground-based optical surveys. We classify them as (1) transients, (2) periodic variables, and (3) irregular variables. The transients include "SPRITE"s (eSPecially Red Intermediate-luminosity Transient Events), having maximum luminosities fainter than supernovae, red IR colors, and a wide range of outburst durations (days to years). Here we report deep optical and near-IR imaging with the Hubble Space Telescope (HST) of 21 SPIRITS variables. They were initially considered SPRITE transients, but many eventually proved instead to be periodic or irregular variables as more data were collected.…
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.
