Back to Search Start Over

JADES: Using NIRCam Photometry to Investigate the Dependence of Stellar Mass Inferences on the IMF in the Early Universe

Authors :
Woodrum, Charity
Rieke, Marcia
Ji, Zhiyuan
Baker, William M.
Bhatawdekar, Rachana
Bunker, Andrew J.
Charlot, Stéphane
Curtis-Lake, Emma
Eisenstein, Daniel J.
Hainline, Kevin
Hausen, Ryan
Helton, Jakob M.
Hviding, Raphael E.
Johnson, Benjamin D.
Robertson, Brant
Sun, Fengwu
Tacchella, Sandro
Whitler, Lily
Williams, Christina C.
Willmer, Christopher N. A.
Woodrum, Charity
Rieke, Marcia
Ji, Zhiyuan
Baker, William M.
Bhatawdekar, Rachana
Bunker, Andrew J.
Charlot, Stéphane
Curtis-Lake, Emma
Eisenstein, Daniel J.
Hainline, Kevin
Hausen, Ryan
Helton, Jakob M.
Hviding, Raphael E.
Johnson, Benjamin D.
Robertson, Brant
Sun, Fengwu
Tacchella, Sandro
Whitler, Lily
Williams, Christina C.
Willmer, Christopher N. A.
Publication Year :
2023

Abstract

The detection of numerous and relatively bright galaxies at redshifts z > 9 has prompted new investigations into the star-forming properties of high-redshift galaxies. Using local forms of the initial mass function (IMF) to estimate stellar masses of these galaxies from their light output leads to galaxy masses that are at the limit allowed for the state of the LambdaCDM Universe at their redshift. We explore how varying the IMF assumed in studies of galaxies in the early universe changes the inferred values for the stellar masses of these galaxies. We infer galaxy properties with the SED fitting code Prospector using varying IMF parameterizations for a sample of 102 galaxies from the JWST Advanced Deep Extragalactic Survey (JADES) spectroscopically confirmed to be at z > 6.7, with additional photometry from the JWST Extragalactic Medium Band Survey (JEMS) for twenty-one galaxies. We demonstrate that models with stellar masses reduced by a factor of three or more do not affect the modeled spectral energy distribution (SED).<br />Comment: The Significance statement is required for PNAS submission

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1430701185
Document Type :
Electronic Resource