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Title: Cosmology with photometric weak lensing surveys: Constraints with redshift tomography of convergence peaks and moments

Abstract

Weak gravitational lensing is becoming a mature technique for constraining cosmological parameters, and future surveys will be able to constrain the dark energy equation of state w. When analyzing galaxy surveys, redshift information has proven to be a valuable addition to angular shear correlations. We forecast parameter constraints on the triplet (Ωm,w,σ8) for a LSST-like photometric galaxy survey, using tomography of the shear-shear power spectrum, convergence peak counts and higher convergence moments. Here we find that redshift tomography with the power spectrum reduces the area of the 1σ confidence interval in (Ωm,w) space by a factor of 8 with respect to the case of the single highest redshift bin. We also find that adding non-Gaussian information from the peak counts and higher-order moments of the convergence field and its spatial derivatives further reduces the constrained area in (Ωm,w) by factors of 3 and 4, respectively. When we add cosmic microwave background parameter priors from Planck to our analysis, tomography improves power spectrum constraints by a factor of 3. Adding moments yields an improvement by an additional factor of 2, and adding both moments and peaks improves by almost a factor of 3 over power spectrum tomography alone. We evaluate themore » effect of uncorrected systematic photometric redshift errors on the parameter constraints. In conclusion, we find that different statistics lead to different bias directions in parameter space, suggesting the possibility of eliminating this bias via self-calibration.« less

Authors:
 [1];  [2];  [3]
  1. Columbia Univ., New York, NY (United States). Dept. of Physics; Brookhaven National Lab. (BNL), Upton, NY (United States). Dept. of Physics
  2. Brookhaven National Lab. (BNL), Upton, NY (United States). Dept. of Physics
  3. Columbia Univ., New York, NY (United States). Dept. of Astronomy
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI Identifier:
1336177
Alternate Identifier(s):
OSTI ID: 1327931
Report Number(s):
BNL-113176-2016-JA
Journal ID: ISSN 2470-0010; PRVDAQ; KA2301020
Grant/Contract Number:  
SC0012704; ACI-1053575; AST-1210877; SC00112704
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Physical Review D
Additional Journal Information:
Journal Volume: 94; Journal Issue: 6; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Petri, Andrea, May, Morgan, and Haiman, Zoltán. Cosmology with photometric weak lensing surveys: Constraints with redshift tomography of convergence peaks and moments. United States: N. p., 2016. Web. doi:10.1103/PhysRevD.94.063534.
Petri, Andrea, May, Morgan, & Haiman, Zoltán. Cosmology with photometric weak lensing surveys: Constraints with redshift tomography of convergence peaks and moments. United States. https://doi.org/10.1103/PhysRevD.94.063534
Petri, Andrea, May, Morgan, and Haiman, Zoltán. 2016. "Cosmology with photometric weak lensing surveys: Constraints with redshift tomography of convergence peaks and moments". United States. https://doi.org/10.1103/PhysRevD.94.063534. https://www.osti.gov/servlets/purl/1336177.
@article{osti_1336177,
title = {Cosmology with photometric weak lensing surveys: Constraints with redshift tomography of convergence peaks and moments},
author = {Petri, Andrea and May, Morgan and Haiman, Zoltán},
abstractNote = {Weak gravitational lensing is becoming a mature technique for constraining cosmological parameters, and future surveys will be able to constrain the dark energy equation of state w. When analyzing galaxy surveys, redshift information has proven to be a valuable addition to angular shear correlations. We forecast parameter constraints on the triplet (Ωm,w,σ8) for a LSST-like photometric galaxy survey, using tomography of the shear-shear power spectrum, convergence peak counts and higher convergence moments. Here we find that redshift tomography with the power spectrum reduces the area of the 1σ confidence interval in (Ωm,w) space by a factor of 8 with respect to the case of the single highest redshift bin. We also find that adding non-Gaussian information from the peak counts and higher-order moments of the convergence field and its spatial derivatives further reduces the constrained area in (Ωm,w) by factors of 3 and 4, respectively. When we add cosmic microwave background parameter priors from Planck to our analysis, tomography improves power spectrum constraints by a factor of 3. Adding moments yields an improvement by an additional factor of 2, and adding both moments and peaks improves by almost a factor of 3 over power spectrum tomography alone. We evaluate the effect of uncorrected systematic photometric redshift errors on the parameter constraints. In conclusion, we find that different statistics lead to different bias directions in parameter space, suggesting the possibility of eliminating this bias via self-calibration.},
doi = {10.1103/PhysRevD.94.063534},
url = {https://www.osti.gov/biblio/1336177}, journal = {Physical Review D},
issn = {2470-0010},
number = 6,
volume = 94,
place = {United States},
year = {Fri Sep 30 00:00:00 EDT 2016},
month = {Fri Sep 30 00:00:00 EDT 2016}
}

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Cited by: 23 works
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Works referenced in this record:

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Works referencing / citing this record:

Weak lensing peak statistics in the era of large scale cosmological surveys
journal, October 2018


Constraining neutrino mass with weak lensing Minkowski Functionals
journal, June 2019


A nulling strategy for modelling lensing convergence in cones with large deviation theory
journal, January 2020


KiDS-450: cosmological constraints from weak-lensing peak statistics – II: Inference from shear peaks using N-body simulations
journal, October 2017


Weak lensing cosmology with convolutional neural networks on noisy data
journal, September 2019


Full-sky Gravitational Lensing Simulation for Large-area Galaxy Surveys and Cosmic Microwave Background Experiments
journal, November 2017


LSST: From Science Drivers to Reference Design and Anticipated Data Products
journal, March 2019


Cosmological Studies from Tomographic Weak Lensing Peak Abundances and Impacts of Photo- z Errors
journal, October 2019


LSST: from Science Drivers to Reference Design and Anticipated Data Products
text, January 2008


Constraining neutrino mass with weak lensing Minkowski Functionals
text, January 2018


Weak lensing cosmology with convolutional neural networks on noisy data
text, January 2019