SQuIGGLE: Studying Quenching in Intermediate-z Galaxies -- Gas, AnguLar Momentum, and Evolution
Katherine A. Suess, Mariska Kriek, Rachel Bezanson, Jenny E. Greene,, David Setton, Justin S. Spilker, Robert Feldmann, Andy D. Goulding, Benjamin, D. Johnson, Joel Leja, Desika Narayanan, Khalil Hall-Hooper, Qiana Hunt,, Sidney Lower, and Margaret Verrico

TL;DR
The SQuIGGLE survey identifies and characterizes ~1300 intermediate-redshift post-starburst galaxies, revealing their recent rapid quenching, stellar properties, and potential for studying galaxy evolution and quenching mechanisms.
Contribution
This study presents a large, well-defined sample of intermediate-redshift post-starburst galaxies and analyzes their star formation histories and properties, providing new insights into galaxy quenching processes.
Findings
Galaxies are very massive and quenched with low star formation rates.
Most galaxies experienced a major burst ending ~200 Myr before observation.
Sample is younger and more burst-dominated than previous z<1 post-starburst samples.
Abstract
We describe the SQuIGGLE survey of intermediate-redshift post-starburst galaxies. We leverage the large sky coverage of the SDSS to select ~1300 recently-quenched galaxies at 0.5<z<~0.9 based on their unique spectral shapes. These bright, intermediate-redshift galaxies are ideal laboratories to study the physics responsible for the rapid quenching of star formation: they are distant enough to be useful analogs for high-redshift quenching galaxies, but low enough redshift that multi-wavelength follow-up observations are feasible with modest telescope investments. We use the Prospector code to infer the stellar population properties and non-parametric star formation histories of all galaxies in the sample. We find that SQuIGGLE galaxies are both very massive (M* ~ 10^11.25 Msun) and quenched, with inferred star formation rates <~1Msun/yr, more than an order of magnitude below the…
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.
