Cosmological parameters, shear maps and power spectra from CFHTLenS using Bayesian hierarchical inference. Issue 3 (10th December 2016)
- Record Type:
- Journal Article
- Title:
- Cosmological parameters, shear maps and power spectra from CFHTLenS using Bayesian hierarchical inference. Issue 3 (10th December 2016)
- Main Title:
- Cosmological parameters, shear maps and power spectra from CFHTLenS using Bayesian hierarchical inference
- Authors:
- Alsing, Justin
Heavens, Alan
Jaffe, Andrew H. - Abstract:
- Abstract: We apply two Bayesian hierarchical inference schemes to infer shear power spectra, shear maps and cosmological parameters from the Canada–France–Hawaii Telescope (CFHTLenS) weak lensing survey – the first application of this method to data. In the first approach, we sample the joint posterior distribution of the shear maps and power spectra by Gibbs sampling, with minimal model assumptions. In the second approach, we sample the joint posterior of the shear maps and cosmological parameters, providing a new, accurate and principled approach to cosmological parameter inference from cosmic shear data. As a first demonstration on data, we perform a two-bin tomographic analysis to constrain cosmological parameters and investigate the possibility of photometric redshift bias in the CFHTLenS data. Under the baseline ΛCDM (Λ cold dark matter) model, we constrain $S_8 = \sigma _8(\Omega _\mathrm{m}/0.3)^{0.5} = 0.67 ^{\scriptscriptstyle + 0.03 }_{\scriptscriptstyle - 0.03 }$ (68 per cent), consistent with previous CFHTLenS analyses but in tension with Planck. Adding neutrino mass as a free parameter, we are able to constrain ∑ m ν < 4.6 eV (95 per cent) using CFHTLenS data alone. Including a linear redshift-dependent photo- z bias Δ z = p 2 ( z − p 1 ), we find $p_1=-0.25 ^{\scriptscriptstyle + 0.53 }_{\scriptscriptstyle - 0.60 }$ and $p_2 = -0.15 ^{\scriptscriptstyle + 0.17 }_{\scriptscriptstyle - 0.15 }$, and tension with Planck is only alleviated under veryAbstract: We apply two Bayesian hierarchical inference schemes to infer shear power spectra, shear maps and cosmological parameters from the Canada–France–Hawaii Telescope (CFHTLenS) weak lensing survey – the first application of this method to data. In the first approach, we sample the joint posterior distribution of the shear maps and power spectra by Gibbs sampling, with minimal model assumptions. In the second approach, we sample the joint posterior of the shear maps and cosmological parameters, providing a new, accurate and principled approach to cosmological parameter inference from cosmic shear data. As a first demonstration on data, we perform a two-bin tomographic analysis to constrain cosmological parameters and investigate the possibility of photometric redshift bias in the CFHTLenS data. Under the baseline ΛCDM (Λ cold dark matter) model, we constrain $S_8 = \sigma _8(\Omega _\mathrm{m}/0.3)^{0.5} = 0.67 ^{\scriptscriptstyle + 0.03 }_{\scriptscriptstyle - 0.03 }$ (68 per cent), consistent with previous CFHTLenS analyses but in tension with Planck. Adding neutrino mass as a free parameter, we are able to constrain ∑ m ν < 4.6 eV (95 per cent) using CFHTLenS data alone. Including a linear redshift-dependent photo- z bias Δ z = p 2 ( z − p 1 ), we find $p_1=-0.25 ^{\scriptscriptstyle + 0.53 }_{\scriptscriptstyle - 0.60 }$ and $p_2 = -0.15 ^{\scriptscriptstyle + 0.17 }_{\scriptscriptstyle - 0.15 }$, and tension with Planck is only alleviated under very conservative prior assumptions. Neither the non-minimal neutrino mass nor photo- z bias models are significantly preferred by the CFHTLenS (two-bin tomography) data. … (more)
- Is Part Of:
- Monthly notices of the Royal Astronomical Society. Volume 466:Issue 3(2017)
- Journal:
- Monthly notices of the Royal Astronomical Society
- Issue:
- Volume 466:Issue 3(2017)
- Issue Display:
- Volume 466, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 466
- Issue:
- 3
- Issue Sort Value:
- 2017-0466-0003-0000
- Page Start:
- 3272
- Page End:
- 3292
- Publication Date:
- 2016-12-10
- Subjects:
- gravitational lensing: weak -- methods: statistical -- cosmological parameters -- large-scale structure of Universe
Astronomy -- Periodicals
Periodicals
520.5 - Journal URLs:
- http://mnras.oxfordjournals.org/ ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2966 ↗
http://www.blackwell-synergy.com/issuelist.asp?journal=mnr ↗
http://www.blackwell-synergy.com/loi/mnr ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/mnras/stw3161 ↗
- Languages:
- English
- ISSNs:
- 0035-8711
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5943.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17078.xml