Detection of the significant impact of source clustering on higher order statistics with DES Year 3 weak gravitational lensing data Academic Article uri icon

abstract

  • ABSTRACT We measure the impact of source galaxy clustering on higher order summary statistics of weak gravitational lensing data. By comparing simulated data with galaxies that either trace or do not trace the underlying density field, we show that this effect can exceed measurement uncertainties for common higher order statistics for certain analysis choices. We evaluate the impact on different weak lensing observables, finding that third moments and wavelet phase harmonics are more affected than peak count statistics. Using Dark Energy Survey (DES) Year 3 (Y3) data, we construct null tests for the source-clustering-free case, finding a p-value of p= 4103 (2.6) using third-order map moments and p= 31011 (6.5) using wavelet phase harmonics. The impact of source clustering on cosmological inference can be either included in the model or minimized through ad hoc procedures (e.g. scale cuts). We verify that the procedures adopted in existing DES Y3 cosmological analyses were sufficient to render this effect negligible. Failing to account for source clustering can significantly impact cosmological inference from higher order gravitational lensing statistics, e.g. higher order N-point functions, wavelet-moment observables, and deep learning or field-level summary statistics of weak lensing maps.

published proceedings

  • Monthly Notices of the Royal Astronomical Society: Letters

author list (cited authors)

  • Gatti, M., Jeffrey, N., Whiteway, L., Ajani, V., Kacprzak, T., Zrcher, D., ... Collaboration, D.

complete list of authors

  • Gatti, M||Jeffrey, N||Whiteway, L||Ajani, V||Kacprzak, T||Zürcher, D||Chang, C||Jain, B||Blazek, J||Krause, E||Alarcon, A||Amon, A||Bechtol, K||Becker, M||Bernstein, G||Campos, A||Chen, R||Choi, A||Davis, C||Derose, J||Diehl, HT||Dodelson, S||Doux, C||Eckert, K||Elvin-Poole, J||Everett, S||Ferte, A||Gruen, D||Gruendl, R||Harrison, I||Hartley, WG||Herner, K||Huff, EM||Jarvis, M||Kuropatkin, N||Leget, PF||MacCrann, N||McCullough, J||Myles, J||Navarro-Alsina, A||Pandey, S||Prat, J||Raveri, M||Rollins, RP||Roodman, A||Sanchez, C||Secco, LF||Sevilla-Noarbe, I||Sheldon, E||Shin, T||Troxel, M||Tutusaus, I||Varga, TN||Yanny, B||Yin, B||Zhang, Y||Zuntz, J||Allam, SS||Alves, O||Aguena, M||Bacon, D||Bertin, E||Brooks, D||Burke, DL||Rosell, A Carnero||Carretero, J||Cawthon, R||da Costa, LN||Davis, TM||De Vicente, J||Desai, S||Doel, P||García-Bellido, J||Giannini, G||Gutierrez, G||Ferrero, I||Frieman, J||Hinton, SR||Hollowood, DL||Honscheid, K||James, DJ||Kuehn, K||Lahav, O||Marshall, JL||Mena-Fernández, J||Miquel, R||Ogando, RLC||Palmese, A||Pereira, MES||Malagón, AA Plazas||Rodriguez-Monroy, M||Samuroff, S||Sanchez, E||Schubnell, M||Smith, M||Sobreira, F||Suchyta, E||Swanson, MEC||Tarle, G||Weaverdyck, N||Wiseman, P||Collaboration, DES

publication date

  • October 2023