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Towards emulating cosmic shear data: revisiting the calibration of the shear measurements for the Kilo-Degree Survey

Abstract:
Exploiting the full statistical power of future cosmic shear surveys will necessitate improvements to the accuracy with which the gravitational lensing signal is measured. We present a framework for calibrating shear with image simulations that demonstrates the importance of including realistic correlations between galaxy morphology, size and more importantly, photometric redshifts. This realism is essential so that selection and shape measurement biases can be calibrated accurately for a tomographic cosmic shear analysis. We emulate Kilo-Degree Survey (KiDS) observations of the COSMOS field using morphological information from {\it Hubble} Space Telescope imaging, faithfully reproducing the measured galaxy properties from KiDS observations of the same field. We calibrate our shear measurements from lensfit, and find through a range of sensitivity tests that lensfit is robust and unbiased within the allowed 2 per cent tolerance of our study. Our results show that the calibration has to be performed by selecting the tomographic samples in the simulations, consistent with the actual cosmic shear analysis, because the joint distributions of galaxy properties are found to vary with redshift. Ignoring this redshift variation could result in misestimating the shear bias by an amount that exceeds the allowed tolerance. To improve the calibration for future cosmic shear analyses, it will be essential to also correctly account for the measurement of photometric redshifts, which requires simulating multi-band observations.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1051/0004-6361/201834819

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Astrophysics
Role:
Author
ORCID:
0000-0002-3376-6200


Publisher:
EDP Sciences
Journal:
Astronomy and Astrophysics More from this journal
Volume:
624
Article number:
A92
Publication date:
2019-04-17
Acceptance date:
2019-02-08
DOI:


Keywords:
Pubs id:
pubs:953595
UUID:
uuid:10b2731b-a66f-4978-9cf8-2c3f17918847
Local pid:
pubs:953595
Source identifiers:
953595
Deposit date:
2019-03-05

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