Role of Future SNIa Data from Rubin LSST in Reinvestigating Cosmological Models

Fuente: arXiv
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Autores principales: Shah, Rahul, Mitra, Ayan, Mukherjee, Purba, Pal, Barun, Pal, Supratik
Formato: Preprint
Publicado: 2023
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author Shah, Rahul
Mitra, Ayan
Mukherjee, Purba
Pal, Barun
Pal, Supratik
author_facet Shah, Rahul
Mitra, Ayan
Mukherjee, Purba
Pal, Barun
Pal, Supratik
contents We study how future Type-Ia supernovae (SNIa) standard candles detected by the Vera C. Rubin Observatory (LSST) can constrain some cosmological models. We use a realistic three-year SNIa simulated dataset generated by the LSST Dark Energy Science Collaboration (DESC) Time Domain pipeline, which includes a mix of spectroscopic and photometrically identified candidates. We combine this data with Cosmic Microwave Background (CMB) and Baryon Acoustic Oscillation (BAO) measurements to estimate the dark energy model parameters for two models -- the baseline $Λ$CDM and Chevallier-Polarski-Linder (CPL) dark energy parametrization. We compare them with the current constraints obtained from joint analysis of the latest real data from the Pantheon SNIa compilation, CMB from Planck 2018 and BAO. Our analysis finds tighter constraints on the model parameters along with a significant reduction of correlation between $H_0$ and $σ_{8,0}$. We find that LSST is expected to significantly improve upon the existing SNIa data in the critical analysis of cosmological models.
format Preprint
id arxiv_https___arxiv_org_abs_2305_08786
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Role of Future SNIa Data from Rubin LSST in Reinvestigating Cosmological Models
Shah, Rahul
Mitra, Ayan
Mukherjee, Purba
Pal, Barun
Pal, Supratik
Cosmology and Nongalactic Astrophysics
General Relativity and Quantum Cosmology
We study how future Type-Ia supernovae (SNIa) standard candles detected by the Vera C. Rubin Observatory (LSST) can constrain some cosmological models. We use a realistic three-year SNIa simulated dataset generated by the LSST Dark Energy Science Collaboration (DESC) Time Domain pipeline, which includes a mix of spectroscopic and photometrically identified candidates. We combine this data with Cosmic Microwave Background (CMB) and Baryon Acoustic Oscillation (BAO) measurements to estimate the dark energy model parameters for two models -- the baseline $Λ$CDM and Chevallier-Polarski-Linder (CPL) dark energy parametrization. We compare them with the current constraints obtained from joint analysis of the latest real data from the Pantheon SNIa compilation, CMB from Planck 2018 and BAO. Our analysis finds tighter constraints on the model parameters along with a significant reduction of correlation between $H_0$ and $σ_{8,0}$. We find that LSST is expected to significantly improve upon the existing SNIa data in the critical analysis of cosmological models.
title Role of Future SNIa Data from Rubin LSST in Reinvestigating Cosmological Models
topic Cosmology and Nongalactic Astrophysics
General Relativity and Quantum Cosmology
url https://arxiv.org/abs/2305.08786