| Name: Brenjit Hazarika |
| Affiliation: Indian Institute of Technology, Tirupati |
| Conference ID: ASI2026_740 |
| Title: UV Luminosity Function at z ∼ 9 from JWST/CEERS and Dust Constraints from the UV Slope |
| Abstract Type: Poster |
| Abstract Category: Galaxies and Cosmology |
| Author(s) and Co-Author(s) with Affiliation: Brenjit Hazarika(Indian Institute of Technology Tirupati, Tirupati – 517619, India), Vikram Khaire(Indian Institute of Technology Tirupati, Tirupati – 517619, India), Ranit Behera(Inter-University Centre for Astronomy and Astrophysics (IUCAA), Pune –411007 , India) |
| Abstract: The rest-frame ultraviolet luminosity function of high-redshift galaxies provides a key observable for quantifying early galaxy growth and the build-up of the ultraviolet luminosity density during the reionization era. We are studying the evolution of the ultraviolet galaxy luminosity function for galaxies at z ≳ 7.5 using publicly available James Webb Space Telescope Near-Infrared (NIRCam) imaging from the Cosmic Evolution Early Release Science survey (CEERS). We identified 98 galaxy candidates in the redshift interval z ≃ 8.5–9.5 using Lyman-break color criteria, and after refining their redshifts using spectral energy distribution fitting to the multi-band photometry in 10 CEERS NIRCam pointings, covering ∼ 90 arcmin2.
We quantified incompleteness and selection bias using injection–recovery simulations to derive the ultraviolet luminosity function. We also investigated dust attenuation using the rest-frame ultraviolet continuum slope β and β –MUV relation to constrain how dust may influence the observed luminosity function, especially toward the bright end. We compare the observed β –MUV relation with predictions from new high-redshift galaxy simulations to test dust prescriptions relevant for JWST-era galaxy populations. We will extend this analysis to larger JWST survey areas to improve constraints on the evolution of the UV luminosity function and the corresponding UV luminosity density, which provides an empirical input for reionization-era models. |
