Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Cosmological simulations for combined-probe analyses: covariance and neighbour-exclusion bias

Harnois-Déraps, J, Amon, A, Choi, A, Demchenko, V, Heymans, C, Kannawadi, A, Nakajima, R, Sirks, E, van Waerbeke, L, Cai, Y-C, Giblin, B, Hildebrandt, H, Hoekstra, H, Miller, L and Tröster, T (2018) Cosmological simulations for combined-probe analyses: covariance and neighbour-exclusion bias. Monthly Notices of the Royal Astronomical Society, 481 (1). pp. 1337-1367. ISSN 0035-8711

[img]
Preview
Text
Cosmological simulations for combined-probe analyses covariance and neighbour-exclusion bias.pdf - Published Version

Download (8MB) | Preview

Abstract

We present a public suite of weak-lensing mock data, extending the Scinet Light Cone Simulations (SLICS) to simulate cross-correlation analyses with different cosmological probes. These mocks include Kilo Degree Survey (KiDS)-450- and LSST-like lensing data, cosmic microwave background lensing maps and simulated spectroscopic surveys that emulate the Galaxy And Mass Assembly, BOSS, and 2-degree Field Lensing galaxy surveys. With 844 independent realizations, our mocks are optimized for combined-probe covariance estimation, which we illustrate for the case of a joint measurement involving cosmic shear, galaxy–galaxy lensing, and galaxy clustering from KiDS-450 and BOSS data. With their high spatial resolution, the SLICS are also optimal for predicting the signal for novel lensing estimators, for the validation of analysis pipelines, and for testing a range of systematic effects such as the impact of neighbour-exclusion bias on the measured tomographic cosmic shear signal. For surveys like KiDS and Dark Energy Survey, where the rejection of neighbouring galaxies occurs within ∼2 arcsec, we show that the measured cosmic shear signal will be biased low, but by less than a per cent on the angular scales that are typically used in cosmic shear analyses. The amplitude of the neighbour-exclusion bias doubles in deeper, LSST-like data. The simulation products described in this paper are made available at http://slics.roe.ac.uk/.

Item Type: Article
Additional Information: This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2018 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
Uncontrolled Keywords: 0201 Astronomical and Space Sciences
Subjects: Q Science > QB Astronomy
Q Science > QC Physics
Divisions: Astrophysics Research Institute
Publisher: Oxford University Press (OUP)
Date Deposited: 22 Jul 2020 09:01
Last Modified: 22 Jul 2020 09:15
DOI or Identification number: 10.1093/mnras/sty2319
URI: https://researchonline.ljmu.ac.uk/id/eprint/13337

Actions (login required)

View Item View Item