Lensing without borders - I. A blind comparison of the amplitude of galaxy-galaxy lensing between independent imaging surveys

Journal Article (Journal Article)

Lensing without borders is a cross-survey collaboration created to assess the consistency of galaxy-galaxy lensing signals (Δς) across different data sets and to carry out end-to-end tests of systematic errors. We perform a blind comparison of the amplitude of Δς using lens samples from BOSS and six independent lensing surveys. We find good agreement between empirically estimated and reported systematic errors which agree to better than 2.3σ in four lens bins and three radial ranges. For lenses with zL > 0.43 and considering statistical errors, we detect a 3-4σ correlation between lensing amplitude and survey depth. This correlation could arise from the increasing impact at higher redshift of unrecognized galaxy blends on shear calibration and imperfections in photometric redshift calibration. At zL > 0.54, amplitudes may additionally correlate with foreground stellar density. The amplitude of these trends is within survey-defined systematic error budgets that are designed to include known shear and redshift calibration uncertainty. Using a fully empirical and conservative method, we do not find evidence for large unknown systematics. Systematic errors greater than 15 per cent (25 per cent) ruled out in three lens bins at 68 per cent (95 per cent) confidence at z < 0.54. Differences with respect to predictions based on clustering are observed to be at the 20-30 per cent level. Our results therefore suggest that lensing systematics alone are unlikely to fully explain the 'lensing is low' effect at z < 0.54. This analysis demonstrates the power of cross-survey comparisons and provides a promising path for identifying and reducing systematics in future lensing analyses.

Full Text

Duke Authors

Cited Authors

  • Leauthaud, A; Amon, A; Singh, S; Gruen, D; Lange, JU; Huang, S; Robertson, NC; Varga, TN; Luo, Y; Heymans, C; Hildebrandt, H; Blake, C; Aguena, M; Allam, S; Andrade-Oliveira, F; Annis, J; Bertin, E; Bhargava, S; Blazek, J; Bridle, SL; Brooks, D; Burke, DL; Rosell, AC; Kind, MC; Carretero, J; Castander, FJ; Cawthon, R; Choi, A; Costanzi, M; Da Costa, LN; Pereira, MES; Davis, C; De Vicente, J; DeRose, J; Diehl, HT; Dietrich, JP; Doel, P; Eckert, K; Everett, S; Evrard, AE; Ferrero, I; Flaugher, B; Fosalba, P; Garcia-Bellido, J; Gatti, M; Gaztanaga, E; Gruendl, RA; Gschwend, J; Hartley, WG; Hollowood, DL; Honscheid, K; Jain, B; James, DJ; Jarvis, M; Joachimi, B; Kannawadi, A; Kim, AG; Krause, E; Kuehn, K; Kuijken, K; Kuropatkin, N; Lima, M; MacCrann, N; Maia, MAG; Makler, M; March, M; Marshall, JL; Melchior, P; Menanteau, F; Miquel, R; Miyatake, H; Mohr, JJ; Moraes, B; More, S; Surhud, M; Morgan, R; Myles, J; Ogando, RLC; Palmese, A; Paz-Chinchón, F; Plazas Malagón, AA; Prat, J; Rau, MM; Rhodes, J; Rodriguez-Monroy, M; Roodman, A; Ross, AJ; Samuroff, S; Sánchez, C; Sanchez, E; Scarpine, V; Schlegel, DJ; Schubnell, M; Serrano, S; Sevilla-Noarbe, I; Sifón, C; Smith, M; Speagle, JS; Suchyta, E; Tarle, G

Published Date

  • March 1, 2022

Published In

Volume / Issue

  • 510 / 4

Start / End Page

  • 6150 - 6189

Electronic International Standard Serial Number (EISSN)

  • 1365-2966

International Standard Serial Number (ISSN)

  • 0035-8711

Digital Object Identifier (DOI)

  • 10.1093/mnras/stab3586

Citation Source

  • Scopus