Angie Nguyen, Chris Blake, R Turner, V Aronica, Julian Bautista, J. Aguilar, S. Ahlen, S. BenZvi, D. Bianchi, D. Brooks, Anthony Carr, T. Claybaugh, Andrei Cuceu, Axel de la Macorra, B Dey, P. Doel, Kelly A. Douglass, S Ferraro, J. E. Forero-Romero, E. Gaztañaga, Satya Gontcho A Gontcho, G. Gutiérrez, J. Guy, Cullan Howlett, Klaus Honscheid, Dragan Huterer, Mustapha Ishak, Richard Joyce, R. Kehoe, A.G Kim, A. Kremin, O. Lahav, M. Landriau, L. Le Guillou, A. Leauthaud, M. E. Levi, Marc Manera, Paul Martini, Aaron Meisner, R. Miquel, E. Müeller, S. Nadathur, N. Palanque‐Delabrouille, Will J. Percival, C. Poppett, Francisco Prada, F. Qin, Ashley J. Ross, Christine Ross, Graziano Rossi, E. Sánchez, D. Schlegel, M. Schubnell, David Sprayberry, G. Tarlé, B. A. Weaver, Pauline Zarrouk, Ruguang Zhou, Hu Zou
The peculiar velocities of supernovae and their host galaxies are correlated with the large-scale structure of the Universe, and can be used to constrain the growth rate of structure and test the cosmological model. In this work, we measure the correlation statistics of the large-scale structure traced by the Dark Energy Spectroscopic Instrument Bright Galaxy Survey Data Release 1 sample, and magnitude fluctuations of type Ia supernova from the Pantheon+ compilation across redshifts z < 0.1. We find a detection of the cross-correlation signal between galaxies and type Ia supernova magnitudes. Fitting the normalised growth rate of structure f sigma_8 to the auto- and cross-correlation function measurements we find the 68% confidence interval f sigma_8 = 0.384 +0.094 -0.157 at z = 0.03, which is consistent with the Planck LambdaCDM model prediction, and indicates that the supernova magnitude fluctuations are induced by peculiar velocities. Using a large ensemble of N-body simulations, we validate our methodology, calibrate the covariance of the measurements, and demonstrate that our results are insensitive to supernova selection effects. We highlight the potential of this methodology for measuring the growth rate of structure, and forecast that the next generation of type Ia supernova surveys will improve f sigma_8 constraints by a further order of magnitude.