The Grism Lens-Amplified Survey from Space (GLASS). V. Extent and spatial distribution of star formation in z~0.5 cluster galaxies
Benedetta Vulcani (KAVLI IPMU, The University of Tokyo), Tommaso Treu, (UCLA), Kasper B. Schmidt (UCSB), Bianca M. Poggianti (INAF-OaPd), Alan, Dressler (The Carnegie Observatories), Adriano Fontana (INAF-OaR), Marusa, Bradac (UCD), Gabriel B. Brammer (STSci), Austin Hoag (UCD)

TL;DR
This study investigates the spatial distribution of star formation in z~0.5 cluster galaxies using space-based grism spectroscopy, revealing diverse morphologies and environmental effects on star formation patterns.
Contribution
First analysis of star formation spatial distribution in z~0.5 cluster galaxies using Hα and UV data from the GLASS survey, highlighting environmental influences.
Findings
Hα more extended than UV in 60% of cases, indicating inside-out growth.
In ~20% of cases, Hα more extended in cluster galaxies, suggesting environmental effects.
Offset between Hα and continuum peaks less than 1 kpc.
Abstract
We present the first study of the spatial distribution of star formation in z~0.5 cluster galaxies. The analysis is based on data taken with the Wide Field Camera 3 as part of the Grism Lens-Amplified Survey from Space (GLASS). We illustrate the methodology by focusing on two clusters (MACS0717.5+3745 and MACS1423.8+2404) with different morphologies (one relaxed and one merging) and use foreground and background galaxies as field control sample. The cluster+field sample consists of 42 galaxies with stellar masses in the range 10^8-10^11 M_sun, and star formation rates in the range 1-20 M_sun/yr. Both in clusters and in the field, H{\alpha} is more extended than the rest-frame UV continuum in 60% of the cases, consistent with diffuse star formation and inside out growth. In ~20% of the cases, the H{\alpha} emission appears more extended in cluster galaxies than in the field, pointing…
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.
