publication . Article . Preprint . 2018

Improving Weak Lensing Mass Map Reconstructions using Gaussian and Sparsity Priors: Application to DES SV

Jeffrey, N; Abdalla, F B; Lahav, O; Lanusse, F; Starck, J-L; Leonard, A; Kirk, D; Chang, C; Baxter, E; Kacprzak, T; ...
Open Access English
  • Published: 01 Jan 2018
  • Publisher: HAL CCSD
  • Country: France
Abstract
Mapping the underlying density field, including non-visible dark matter, using weak gravitational lensing measurements is now a standard tool in cosmology. Due to its importance to the science results of current and upcoming surveys, the quality of the convergence reconstruction methods should be well understood. We compare three methods: Kaiser-Squires (KS), Wiener filter, and GLIMPSE. KS is a direct inversion, not accounting for survey masks or noise. The Wiener filter is well-motivated for Gaussian density fields in a Bayesian framework. GLIMPSE uses sparsity, aiming to reconstruct non-linearities in the density field. We compare these methods with several te...
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics::Galaxy Astrophysics
free text keywords: methods: statistical, large-scale structure of Universe, gravitational lensing: weak, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], [ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Funded by
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
,
EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
,
EC| DEDALE
Project
DEDALE
Data Learning on Manifolds and Future Challenges
  • Funder: European Commission (EC)
  • Project Code: 665044
  • Funding stream: H2020 | RIA
Validated by funder
,
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
,
UKRI| UCL Astrophysics Consolidated Grant 2015-2018
Project
  • Funder: UK Research and Innovation (UKRI)
  • Project Code: ST/M001334/1
  • Funding stream: STFC
Communities
FET H2020FET OPEN: FET-Open research projects
FET H2020FET OPEN: Data Learning on Manifolds and Future Challenges
109 references, page 1 of 8

mann T., 2016, MNRAS, 455, 4452

Alsing J., Heavens A., Ja e A. H., 2017, MNRAS, 466, 3272

Amendola L., et al., 2016, preprint, (arXiv:1606.00180)

Bacon D. J., Goldberg D. M., Rowe B. T. P., Taylor A. N., 2006,

MNRAS, 365, 414

Bartelmann M., Schneider P., 2001, Phys. Rep., 340, 291

Becker M. R., 2013, MNRAS, 435, 115

Ben tez N., 2000, ApJ, 536, 571

Bonnett C., et al., 2016, Phys. Rev. D, 94, 042005

A. E., 2013, in American Astronomical Society Meeting Ab-

stracts #221. p. 341.07

Byrd R. H., Lu P., Nocedal J., Zhu C., 1995, SIAM Journal on

Scienti c Computing, 16, 1190

Chang C., et al., 2015, Physical Review Letters, 115, 051301

Chang C., et al., 2016, MNRAS, 459, 3203

109 references, page 1 of 8
Abstract
Mapping the underlying density field, including non-visible dark matter, using weak gravitational lensing measurements is now a standard tool in cosmology. Due to its importance to the science results of current and upcoming surveys, the quality of the convergence reconstruction methods should be well understood. We compare three methods: Kaiser-Squires (KS), Wiener filter, and GLIMPSE. KS is a direct inversion, not accounting for survey masks or noise. The Wiener filter is well-motivated for Gaussian density fields in a Bayesian framework. GLIMPSE uses sparsity, aiming to reconstruct non-linearities in the density field. We compare these methods with several te...
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics::Galaxy Astrophysics
free text keywords: methods: statistical, large-scale structure of Universe, gravitational lensing: weak, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], [ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Funded by
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
,
EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
,
EC| DEDALE
Project
DEDALE
Data Learning on Manifolds and Future Challenges
  • Funder: European Commission (EC)
  • Project Code: 665044
  • Funding stream: H2020 | RIA
Validated by funder
,
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
,
UKRI| UCL Astrophysics Consolidated Grant 2015-2018
Project
  • Funder: UK Research and Innovation (UKRI)
  • Project Code: ST/M001334/1
  • Funding stream: STFC
Communities
FET H2020FET OPEN: FET-Open research projects
FET H2020FET OPEN: Data Learning on Manifolds and Future Challenges
109 references, page 1 of 8

mann T., 2016, MNRAS, 455, 4452

Alsing J., Heavens A., Ja e A. H., 2017, MNRAS, 466, 3272

Amendola L., et al., 2016, preprint, (arXiv:1606.00180)

Bacon D. J., Goldberg D. M., Rowe B. T. P., Taylor A. N., 2006,

MNRAS, 365, 414

Bartelmann M., Schneider P., 2001, Phys. Rep., 340, 291

Becker M. R., 2013, MNRAS, 435, 115

Ben tez N., 2000, ApJ, 536, 571

Bonnett C., et al., 2016, Phys. Rev. D, 94, 042005

A. E., 2013, in American Astronomical Society Meeting Ab-

stracts #221. p. 341.07

Byrd R. H., Lu P., Nocedal J., Zhu C., 1995, SIAM Journal on

Scienti c Computing, 16, 1190

Chang C., et al., 2015, Physical Review Letters, 115, 051301

Chang C., et al., 2016, MNRAS, 459, 3203

109 references, page 1 of 8
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