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Title: Cosmology Constraints from the Weak Lensing Peak Counts and the Power Spectrum in CFHTLenS

Journal Article · · Physical Review. D, Particles, Fields, Gravitation and Cosmology
 [1];  [2];  [3];  [4];  [5];  [6]
  1. Department of Astronomy and Astrophysics, Columbia University, New York, NY, (United States)
  2. Physics Department, Brookhaven National Laboratory, Upton, NY, (United States)
  3. Department of Physics, Columbia University, New York, NY, (United States)
  4. Department of Astronomy and Astrophysics, Columbia University, New York, NY, (United States); Institute for Strings, Cosmology, and Astroparticle Physics (ISCAP), Columbia University, New York, (United States)
  5. Department of Physics, Columbia University, New York, NY, (United States); Institute for Strings, Cosmology, and Astroparticle Physics (ISCAP), Columbia University, New York, (United States)
  6. Astrophysics and Cosmology Research Unit, University of KwaZulu-Natal, Westville, Durban, (South Africa)
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Lensing peaks have been proposed as a useful statistic, containing cosmological information from non-Gaussianities that is inaccessible from traditional two-point statistics such as the power spectrum or two-point correlation functions. Here we examine constraints on cosmological parameters from weak lensing peak counts, using the publicly available data from the 154 deg2 CFHTLenS survey. We utilize a new suite of ray-tracing N-body simulations on a grid of 91 cosmological models, covering broad ranges of the three parameters Ωm, σ8, and w, and replicating the galaxy sky positions, redshifts, and shape noise in the CFHTLenS observations. We then build an emulator that interpolates the power spectrum and the peak counts to an accuracy of ≤ 5%, and compute the likelihood in the three-dimensional parameter space (Ωm, σ8, w) from both observables. We find that constraints from peak counts are comparable to those from the power spectrum, and somewhat tighter when different smoothing scales are combined. Neither observable can constrain w without external data. When the power spectrum and peak counts are combined, the area of the error “banana” in the (Ωm, σ8) plane reduces by a factor of ≈ two, compared to using the power spectrum alone. For a flat Λ cold dark matter model, combining both statistics, we obtain the constraint σ8(Ωm/0.27)0.63 = 0.85+0.03-0.03.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Grant/Contract Number:
SC00112704; AC02-98CH10886; SC0012704
OSTI ID:
1174105
Alternate ID(s):
OSTI ID: 1181291
Report Number(s):
BNL-107476-2015-JA; KA2301020
Journal Information:
Physical Review. D, Particles, Fields, Gravitation and Cosmology, Vol. 91, Issue 6; ISSN 1550-7998
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 100 works
Citation information provided by
Web of Science

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The Impact of Magnification and Size Bias on Weak Lensing Power Spectrum and Peak Statistics text January 2013
Statistical and Systematic Errors in Measurement of Weak-Lensing Minkowski Functionals: Application to Canada-France-Hawaii Lensing Survey text January 2013
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Cited By (43)

An improved cosmological parameter inference scheme motivated by deep learning journal October 2018
A new model to predict weak-lensing peak counts: II. Parameter constraint strategies journal October 2015
A new model to predict weak-lensing peak counts: III. Filtering technique comparisons journal September 2016
Quantifying systematics from the shear inversion on weak-lensing peak counts journal June 2018
Cosmic shear covariance matrix in w CDM: Cosmology matters journal November 2019
Cosmology with cosmic shear observations: a review journal July 2015
Dark energy two decades after: observables, probes, consistency tests journal December 2017
RAY-RAMSES: a code for ray tracing on the fly in N-body simulations journal May 2016
MassiveNuS: cosmological massive neutrino simulations journal March 2018
Weak lensing peak statistics in the era of large scale cosmological surveys journal October 2018
Constraining neutrino mass with the tomographic weak lensing bispectrum journal May 2019
An accurate halo model for fitting non-linear cosmological power spectra and baryonic feedback models journal October 2015
Cosmological constraints from weak lensing peak statistics with Canada-France-Hawaii Telescope Stripe 82 Survey journal May 2015
Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data journal August 2016
The imprint of f(R) gravity on weak gravitational lensing – II. Information content in cosmic shear statistics journal December 2016
KiDS-450: cosmological constraints from weak-lensing peak statistics – II: Inference from shear peaks using N-body simulations journal October 2017
KiDS-450: cosmological constraints from weak lensing peak statistics – I. Inference from analytical prediction of high signal-to-noise ratio convergence peaks journal November 2017
Cosmological simulations for combined-probe analyses: covariance and neighbour-exclusion bias journal August 2018
Studying galaxy troughs and ridges using weak gravitational lensing with the Kilo-Degree Survey journal September 2018
The self-similarity of weak lensing peaks journal August 2019
Weak lensing cosmology with convolutional neural networks on noisy data journal September 2019
On the road to per cent accuracy – II. Calibration of the non-linear matter power spectrum for arbitrary cosmologies journal September 2019
The matter fluctuation amplitude inferred from the weak lensing power spectrum and correlation function in CFHTLenS data journal October 2019
Cosmological constraints from Subaru weak lensing cluster counts journal June 2015
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks journal May 2019
Projection Effects of Large-scale Structures on Weak-lensing Peak Abundances journal April 2018
Cosmological Studies from Tomographic Weak Lensing Peak Abundances and Impacts of Photo- z Errors journal October 2019
A new model to predict weak-lensing peak counts: I. Comparison with journal March 2015
An accurate halo model for fitting non-linear cosmological power spectra and baryonic feedback models text January 2015
A new model to predict weak-lensing peak counts II. Parameter constraint strategies text January 2015
RAY-RAMSES: a code for ray tracing on the fly in N-body simulations text January 2016
Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data text January 2016
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks text January 2017
Dark energy two decades after: Observables, probes, consistency tests text January 2017
KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics - II: Inference from Shear Peaks using N-body Simulations text January 2017
Projection effects of large-scale structures on weak-lensing peak abundances text January 2018
Cosmological Simulations for Combined-Probe Analyses: Covariance and Neighbour-Exclusion Bias text January 2018
Cosmological constraints from noisy convergence maps through deep learning text January 2018
Constraining neutrino mass with tomographic weak lensing peak counts text January 2018
Weak lensing cosmology with convolutional neural networks on noisy data text January 2019
The matter fluctuation amplitude inferred from the weak lensing power spectrum and correlation function in CFHTLenS data text January 2019
On the road to percent accuracy II: calibration of the non-linear matter power spectrum for arbitrary cosmologies text January 2019
Cosmological studies from tomographic weak lensing peak abundances and impacts of photo-z errors text January 2019

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