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

Creators: Carreres, Bastien; Bautista, Julian E.; Feinstein, Fabrice; Fouchez, Dominique; Racine, Benjamin; Smith, Mathew; Amenouche, Melissa; 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 N.

Abstract

Measurements of the growth rate of structures at z < 0.1 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 fσ₈ 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.

Additional Information

© The Authors 2023. Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication. Simulation logs are based on observations obtained with the Samuel Oschin Telescope 48-inch and the 60-inch Telescope at the Palomar Observatory as part of the Zwicky Transient Facility project. ZTF is supported by the National Science Foundation under Grants No. AST-1440341 and AST-2034437 and a collaboration including current partners Caltech, IPAC, the Weizmann Institute of Science, the Oskar Klein Center at Stockholm University, the University of Maryland, Deutsches Elektronen-Synchrotron and Humboldt University, the TANGO Consortium of Taiwan, the University of Wisconsin at Milwaukee, Trinity College Dublin, Lawrence Livermore National Laboratories, IN2P3, University of Warwick, Ruhr University Bochum, Northwestern University and former partners the University of Washington, Los Alamos National Laboratories, and Lawrence Berkeley National Laboratories. Operations are conducted by COO, IPAC, and UW. The project leading to this publication has received funding from Excellence Initiative of Aix-Marseille University-A*MIDEX, a French "Investissements d'Avenir" program (AMX-20-CE-02-DARKUNI). Some of the results in this paper have been derived using the healpy and HEALPix packages.

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