Growth-rate measurement with type-Ia supernovae using ZTF survey simulations

A&A 674, A197 (2023) Measurements of the growth rate of structures at $z < 0.1$ with peculiar velocity surveys have the potential of testing the validity of general relativity on cosmic scales. In this work, we present growth-rate measurements from realistic simulated sets of type-Ia supernov...

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Bibliographic Details
Main Authors:	Carreres, Bastien, Bautista, Julian E, Feinstein, Fabrice, Fouchez, Dominique, Racine, Benjamin, Smith, Mathew, Amenouche, Mellissa, Aubert, Marie, Dhawan, Suhail, Ginolin, Madeleine, Goobar, Ariel, Gris, Philippe, Lacroix, Leander, Nuss, Eric, Regnault, Nicolas, Rigault, Mickael, Robert, Estelle, Rosnet, Philippe, Sommer, Kelian, Dekany, Richard, Groom, Steven L, Sravan, Niharika, Masci, Frank J, Purdum, Josiah
Format:	Journal Article
Language:	English
Published:	22-06-2023
Subjects:	Physics - Cosmology and Nongalactic Astrophysics
Online Access:	Get full text
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Summary:	A&A 674, A197 (2023) Measurements of the growth rate of structures at $z < 0.1$ with peculiar velocity surveys have the potential of testing the validity of general relativity on cosmic scales. In this work, we present growth-rate measurements from realistic simulated sets of type-Ia supernovae (SNe Ia) from the Zwicky Transient Facility (ZTF). We describe our simulation methodology, the light-curve fitting and peculiar velocity estimation. Using the maximum likelihood method, we derive constraints on $f\sigma_8$ using only ZTF SN Ia peculiar velocities. We carefully tested the method and we quantified biases due to selection effects (photometric detection, spectroscopic follow-up for typing) on several independent realizations. We simulated the equivalent of 6 years of ZTF data, and considering an unbiased spectroscopically typed sample at $z < 0.06$, we obtained unbiased estimates of $f\sigma_8$ with an average uncertainty of 19% precision. We also investigated the information gain in applying bias correction methods. Our results validate our framework which can be used on real ZTF data.
DOI:	10.48550/arxiv.2303.01198