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The Accuracy of Weak Lensing Simulations

Authors :
Hilbert, Stefan
Barreira, Alexandre
Fabbian, Giulio
Fosalba, Pablo
Giocoli, Carlo
Bose, Sownak
Calabrese, Matteo
Carbone, Carmelita
Davies, Christopher T.
Li, Baojiu
Llinares, Claudio
Monaco, Pierluigi
Publication Year :
2019

Abstract

We investigate the accuracy of weak lensing simulations by comparing the results of five independently developed lensing simulation codes run on the same input $N$-body simulation. Our comparison focuses on the lensing convergence maps produced by the codes, and in particular on the corresponding PDFs, power spectra and peak counts. We find that the convergence power spectra of the lensing codes agree to $\lesssim 2\%$ out to scales $\ell \approx 4000$. For lensing peak counts, the agreement is better than $5\%$ for peaks with signal-to-noise $\lesssim 6$. We also discuss the systematic errors due to the Born approximation, line-of-sight discretization, particle noise and smoothing. The lensing codes tested deal in markedly different ways with these effects, but they nonetheless display a satisfactory level of agreement. Our results thus suggest that systematic errors due to the operation of existing lensing codes should be small. Moreover their impact on the convergence power spectra for a lensing simulation can be predicted given its numerical details, which may then serve as a validation test.<br />Comment: 16 pages, 10 figures; comments welcomed! In v2: minor clarifications added; matches version published in MNRAS

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1910.10625
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/mnras/staa281