CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics

We investigate the impact of astrophysical systematics on cosmic shear cosmological parameter constraints from the Canada–France–Hawaii Telescope Lensing Survey (CFHTLenS) and the concordance with cosmic microwave background measurements by Planck. We present updated CFHTLenS cosmic shear tomography...

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Main Authors: Joudaki, S, Blake, C, Heymans, C, Choi, A, Harnois-Deraps, J, Hildebrandt, H, Joachimi, B, Johnson, A, Mead, A, Parkinson, D, Viola, M, van Waerbeke, L
Format: Journal article
Published: Oxford University Press 2016
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author Joudaki, S
Blake, C
Heymans, C
Choi, A
Harnois-Deraps, J
Hildebrandt, H
Joachimi, B
Johnson, A
Mead, A
Parkinson, D
Viola, M
van Waerbeke, L
author_facet Joudaki, S
Blake, C
Heymans, C
Choi, A
Harnois-Deraps, J
Hildebrandt, H
Joachimi, B
Johnson, A
Mead, A
Parkinson, D
Viola, M
van Waerbeke, L
author_sort Joudaki, S
collection OXFORD
description We investigate the impact of astrophysical systematics on cosmic shear cosmological parameter constraints from the Canada–France–Hawaii Telescope Lensing Survey (CFHTLenS) and the concordance with cosmic microwave background measurements by Planck. We present updated CFHTLenS cosmic shear tomography measurements extended to degree scales using a covariance calibrated by a new suite of N-body simulations.We analyse these measurements with a new model fitting pipeline, accounting for key systematic uncertainties arising from intrinsic galaxy alignments, baryonic effects in the non-linear matter power spectrum, and photometric redshift uncertainties. We examine the impact of the systematic degrees of freedom on the cosmological parameter constraints, both independently and jointly. When the systematic uncertainties are considered independently, the intrinsic alignment amplitude is the only degree of freedom that is substantially preferred by the data. When the systematic uncertainties are considered jointly, there is no consistently strong preference in favour of the more complex models.We quantify the level of concordance between the CFHTLenS and Planck data sets by employing two distinct data concordance tests, grounded in Bayesian evidence and information theory.We find that the two data concordance tests largely agree with one another and that the level of concordance between the CFHTLenS and Planck data sets is sensitive to the exact details of the systematic uncertainties included in our analysis, ranging from decisive discordance to substantial concordance as the treatment of the systematic uncertainties becomes more conservative. The least conservative scenario is the one most favoured by the cosmic shear data, but it is also the one that shows the greatest degree of discordance with Planck. The data and analysis code are publicly available at https://github.com/sjoudaki/cfhtlens_revisited.
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spelling oxford-uuid:cb748af9-3b29-45f0-96c6-eb7a3bb24ce62022-03-27T07:14:58ZCFHTLenS revisited: assessing concordance with Planck including astrophysical systematicsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:cb748af9-3b29-45f0-96c6-eb7a3bb24ce6Symplectic Elements at OxfordOxford University Press2016Joudaki, SBlake, CHeymans, CChoi, AHarnois-Deraps, JHildebrandt, HJoachimi, BJohnson, AMead, AParkinson, DViola, Mvan Waerbeke, LWe investigate the impact of astrophysical systematics on cosmic shear cosmological parameter constraints from the Canada–France–Hawaii Telescope Lensing Survey (CFHTLenS) and the concordance with cosmic microwave background measurements by Planck. We present updated CFHTLenS cosmic shear tomography measurements extended to degree scales using a covariance calibrated by a new suite of N-body simulations.We analyse these measurements with a new model fitting pipeline, accounting for key systematic uncertainties arising from intrinsic galaxy alignments, baryonic effects in the non-linear matter power spectrum, and photometric redshift uncertainties. We examine the impact of the systematic degrees of freedom on the cosmological parameter constraints, both independently and jointly. When the systematic uncertainties are considered independently, the intrinsic alignment amplitude is the only degree of freedom that is substantially preferred by the data. When the systematic uncertainties are considered jointly, there is no consistently strong preference in favour of the more complex models.We quantify the level of concordance between the CFHTLenS and Planck data sets by employing two distinct data concordance tests, grounded in Bayesian evidence and information theory.We find that the two data concordance tests largely agree with one another and that the level of concordance between the CFHTLenS and Planck data sets is sensitive to the exact details of the systematic uncertainties included in our analysis, ranging from decisive discordance to substantial concordance as the treatment of the systematic uncertainties becomes more conservative. The least conservative scenario is the one most favoured by the cosmic shear data, but it is also the one that shows the greatest degree of discordance with Planck. The data and analysis code are publicly available at https://github.com/sjoudaki/cfhtlens_revisited.
spellingShingle Joudaki, S
Blake, C
Heymans, C
Choi, A
Harnois-Deraps, J
Hildebrandt, H
Joachimi, B
Johnson, A
Mead, A
Parkinson, D
Viola, M
van Waerbeke, L
CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics
title CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics
title_full CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics
title_fullStr CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics
title_full_unstemmed CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics
title_short CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics
title_sort cfhtlens revisited assessing concordance with planck including astrophysical systematics
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