TY - JOUR
T1 - Galaxy luminosity function pipeline for cosmology and astrophysics
AU - Sabti, Nashwan
AU - Muñoz, Julian B.
AU - Blas, Diego
N1 - Funding Information:
We thank Daniel Eisenstein, Ben Johnson, Sandro Tacchella, and Charlotte Mason for insightful comments on several aspects of this project. We are grateful to Steven Furlanetto and Adam Trapp for their assistance with the galcv code, Xuejian Shen and Mark Vogelsberger for providing us with LF data from IllustrisTNG, and Linda Xu for helping out with montepython queries. N. S. is a recipient of a King’s College London NMS Faculty Studentship. J. B. M. is supported by a Clay fellowship at the Smithsonian Astrophysical Observatory. I. F. A. E. is partially funded by the CERCA program of the Generalitat de Catalunya. The research leading to these results has received funding from the Spanish Ministry of Science and Innovation (PID2020–115845 GB-I00/AEI/10.13039/501100011033). We acknowledge the use of the public cosmological codes class , montepython and galcv . The simulations in this work were performed on the Rosalind research computing facility at King’s College London, and the FASRC Cannon cluster supported by the FAS Division of Science Research Computing Group at Harvard University.
Publisher Copyright:
© 2022 American Physical Society..
PY - 2022/2/15
Y1 - 2022/2/15
N2 - Observations of high-redshift galaxies have provided us with a rich tool to study the physics at play during the epoch of reionization. The luminosity function (LF) of these objects is an indirect tracer of the complex processes that govern galaxy formation, including those of the first dark-matter structures. In this work, we present an extensive analysis of the UV galaxy LF at high redshifts to extract cosmological and astrophysical parameters. We provide a number of phenomenological approaches in modeling the UV LF and take into account various sources of uncertainties and systematics in our analysis, including cosmic variance, dust extinction, scattering in the halo-galaxy connection, and the Alcock-Paczyński effect. Using UV LF measurements from the Hubble Space Telescope together with external data on the matter density, we derive the large-scale matter clustering amplitude to be σ8=0.76-0.14+0.12, after marginalizing over the unknown astrophysical parameters. We find that with current data this result is only weakly sensitive to our choice of astrophysical modeling, as well as the calibration of the underlying halo mass function. As a cross check, we run our analysis pipeline with mock data from the IllustrisTNG hydrodynamical simulations and find consistent results with their input cosmology. In addition, we perform a simple forecast for future space telescopes, where an improvement of roughly 30% upon our current result is expected. Finally, we obtain constraints on astrophysical parameters and the halo-galaxy connection for the models considered here. All methods discussed in this work are implemented in the form of a versatile likelihood code, gallumi, which we make public.
AB - Observations of high-redshift galaxies have provided us with a rich tool to study the physics at play during the epoch of reionization. The luminosity function (LF) of these objects is an indirect tracer of the complex processes that govern galaxy formation, including those of the first dark-matter structures. In this work, we present an extensive analysis of the UV galaxy LF at high redshifts to extract cosmological and astrophysical parameters. We provide a number of phenomenological approaches in modeling the UV LF and take into account various sources of uncertainties and systematics in our analysis, including cosmic variance, dust extinction, scattering in the halo-galaxy connection, and the Alcock-Paczyński effect. Using UV LF measurements from the Hubble Space Telescope together with external data on the matter density, we derive the large-scale matter clustering amplitude to be σ8=0.76-0.14+0.12, after marginalizing over the unknown astrophysical parameters. We find that with current data this result is only weakly sensitive to our choice of astrophysical modeling, as well as the calibration of the underlying halo mass function. As a cross check, we run our analysis pipeline with mock data from the IllustrisTNG hydrodynamical simulations and find consistent results with their input cosmology. In addition, we perform a simple forecast for future space telescopes, where an improvement of roughly 30% upon our current result is expected. Finally, we obtain constraints on astrophysical parameters and the halo-galaxy connection for the models considered here. All methods discussed in this work are implemented in the form of a versatile likelihood code, gallumi, which we make public.
UR - http://www.scopus.com/inward/record.url?scp=85125422765&partnerID=8YFLogxK
U2 - 10.1103/PhysRevD.105.043518
DO - 10.1103/PhysRevD.105.043518
M3 - Article
AN - SCOPUS:85125422765
SN - 2470-0010
VL - 105
JO - Physical Review D
JF - Physical Review D
IS - 4
M1 - 043518
ER -