Cosmological Studies from Tomographic Weak Lensing Peak Abundances and Impacts of Photo-z Errors

Yuan, Shuo; Pan, Chuzhong; Liu, Xiangkun; Wang, Qiao

doi:10.3847/1538-4357/ab40a5

Cited by 6 publications

(7 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The largest gain is observed when going from 1 (no tomography) to 2 slices, and does not evolve any more above ∼5 slices. This is in good agreement with results from Yuan et al (2019) who found for a Euclid-like weak-lensing peak analysis that the constraints on Ω m and σ 8 are only marginally improved when using 8 tomographic slices compared to 4. This is no longer the case when we additionally include cross-M ap terms.…”

Section: D M Ap Tomographic Forecastssupporting

confidence: 91%

“…Two-point statistics fail to capture this non-Gaussian information and thus yield an incomplete description of the matter distribution at low redshift. To close this gap, the community has recently started to explore non-Gaussian cosmic shear estimators: for example weak-lensing peaks (e.g., Kruse & Schneider 1999, 2000Dietrich & Hartlap 2010;Kratochvil et al 2010;Fan et al 2010;Yang et al 2011;Maturi et al 2011;Hamana et al 2012;Hilbert et al 2012;Marian et al 2012Marian et al , 2013Shan et al 2014Shan et al , 2018Lin & Kilbinger 2015;Martinet et al 2015Martinet et al , 2018Liu et al 2015a,b;Kacprzak et al 2016;Petri et al 2016;Zorrilla Matilla et al 2016;Giocoli et al 2018;Peel et al 2018;Davies et al 2019;Fong et al 2019;Li et al 2019;Weiss et al 2019;Yuan et al 2019;Coulton et al 2020;Ajani et al 2020;Zürcher et al 2021), Minkowski functionals (e.g., Kratochvil et al 2012;Petri et al 2015;Vicinanza et al 2019;Parroni et al 2020;Zürcher et al 2021), higher-order moments (e.g., Van Waerbeke et al 2013;Petri et al 2015;Peel et al 2018;Vicinanza et al 2018;…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Probing dark energy with tomographic weak-lensing aperture mass statistics

Martinet

Harnois-Déraps

Jullo

et al. 2021

A&A

View full text Add to dashboard Cite

We forecast and optimize the cosmological power of various weak-lensing aperture mass (Map) map statistics for future cosmic shear surveys, including peaks, voids, and the full distribution of pixels (1D Map). These alternative methods probe the non-Gaussian regime of the matter distribution, adding complementary cosmological information to the classical two-point estimators. Based on the SLICS and cosmo-SLICS N-body simulations, we build Euclid-like mocks to explore the S8 − Ωm − w0 parameter space. We develop a new tomographic formalism that exploits the cross-information between redshift slices (cross-Map) in addition to the information from individual slices (auto-Map) probed in the standard approach. Our auto-Map forecast precision is in good agreement with the recent literature on weak-lensing peak statistics and is improved by ∼50% when including cross-Map. It is further boosted by the use of 1D Map that outperforms all other estimators, including the shear two-point correlation function (γ-2PCF). When considering all tomographic terms, our uncertainty range on the structure growth parameter S8 is enhanced by ∼45% (almost twice better) when combining 1D Map and the γ-2PCF compared to the γ-2PCF alone. We additionally measure the first combined forecasts on the dark energy equation of state w0, finding a factor of three reduction in the statistical error compared to the γ-2PCF alone. This demonstrates that the complementary cosmological information explored by non-Gaussian Map map statistics not only offers the potential to improve the constraints on the recent σ8–Ωm tension, but also constitutes an avenue to understanding the accelerated expansion of our Universe.

show abstract

Section: D M Ap Tomographic Forecastssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Probing dark energy with tomographic weak-lensing aperture mass statistics

Martinet

Harnois-Déraps

Jullo

et al. 2021

A&A

View full text Add to dashboard Cite

show abstract

“…weak-lensing peaks (e.g. Kruse & Schneider 1999, 2000Dietrich & Hartlap 2010;Kratochvil et al 2010;Fan et al 2010;Yang et al 2011;Maturi et al 2011;Hamana et al 2012;Hilbert et al 2012;Marian et al 2012Marian et al , 2013Shan et al 2014;Lin & Kilbinger 2015;Martinet et al 2015;Liu et al 2015a,b;Kacprzak et al 2016;Petri et al 2016;Zorrilla Matilla et al 2016;Shan et al 2018;Martinet et al 2018;Giocoli et al 2018;Peel et al 2018;Davies et al 2019;Fong et al 2019;Li et al 2019;Weiss et al 2019;Yuan et al 2019;Coulton et al 2020;Ajani et al 2020;Zürcher et al 2020), Minkowski functionals (e.g. Kratochvil et al 2012;Petri et al 2015;Vicinanza et al 2019;Parroni et al 2020;Zürcher et al 2020), higher-order moments (e.g.…”

Section: Introductionunclassified

Probing dark energy with tomographic weak-lensing aperture mass statistics

Martinet,

Harnois-Déraps,

Jullo

et al. 2020

Preprint

View full text Add to dashboard Cite

We forecast and optimize the cosmological power of various weak-lensing aperture mass (M ap ) map statistics for future cosmic shear surveys, including peaks, voids, and the full distribution of pixels (1D M ap ). These alternative methods probe the non-Gaussian regime of the matter distribution, adding complementary cosmological information to the classical two-point estimators. Based on the SLICS and cosmo-SLICS N-body simulations, we build Euclid-like mocks to explore the S 8 − Ω m − w 0 parameter space. We develop a new tomographic formalism which exploits the cross-information between redshift slices (cross-M ap ) in addition to the information from individual slices (auto-M ap ) probed in the standard approach. Our auto-M ap forecast precision is in good agreement with the recent literature on weak-lensing peak statistics, and is improved by ∼ 50% when including cross-M ap . It is further boosted by the use of 1D M ap that outperforms all other estimators, including the shear two-point correlation function (γ-2PCF). When considering all tomographic terms, our uncertainty range on the structure growth parameter S 8 is enhanced by ∼ 45% (almost twice better) when combining 1D M ap and the γ-2PCF compared to the γ-2PCF alone. We additionally measure the first combined forecasts on the dark energy equation of state w 0 , finding a factor of three reduction of the statistical error compared to the γ-2PCF alone. This demonstrates that the complementary cosmological information explored by non-Gaussian M ap map statistics not only offers the potential to improve the constraints on the recent σ 8 -Ω m tension, but also constitutes an avenue to understand the accelerated expansion of our Universe.

show abstract

“…In Yuan et al (2019), we investigate theoretically the gain from tomographic high peak analyses. In the case with the galaxy number density g ∼ 40 arcmin −2 and the redshift distribution similar to that expected from LSST, 2 to 4 tomographic bins are the optimal.…”

Section: The Hsc-ssp Shear Samplementioning

confidence: 99%

“…Similarly to cosmic shear correlations, theoretical studies have shown that adding redshift information in peak analyses, i.e., tomographic peak statistics, can effectively enhance the cosmological gains in comparison with that from non-tomographic, or 2D peak statistics (Yang et al 2011;Martinet et al 2015;Petri et al 2016;Abruzzo & Haiman 2019;Yuan et al 2019). Limited by the number density of galaxies in the shear samples from the current surveys, however, most of the observational peak studies to date are 2D without tomography.…”

Section: Introductionmentioning

confidence: 98%

Cosmological studies from HSC-SSP tomographic weak-lensing peak abundances

Liu

Yuan

Pan

et al. 2022

Monthly Notices of the Royal Astronomical Society

View full text Add to dashboard Cite

We perform weak lensing tomographic peak studies using the first-year shear data from Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) survey. The effective area used in our analyses after field selection, mask and boundary exclusions is $\sim 58 \deg ^2$. The source galaxies are divided into low- and high-redshift bins with 0.2 ≤ zp ≤ 0.85 and 0.85 ≤ zp ≤ 1.5, respectively. We utilize our halo-based theoretical peak model including the projection effect of large-scale structures to derive cosmological constraints from the observed tomographic high peak abundances with the signal-to-noise ratio in the range of νN = [3.5, 5.5]. These high peaks are closely associated with the lensing effects of massive clusters of galaxies. Thus the inclusion of their member galaxies in the shear catalog can lead to significant source clustering and dilute their lensing signals. We account for this systematic effect in our theoretical modelling. Additionally, the impacts of baryonic effects, galaxy intrinsic alignments, as well as residual uncertainties in shear and photometric redshift calibrations are also analyzed. Within the flat ΛCDM model, the derived constraint is $S_8=\sigma _8(\Omega _{\rm m}/0.3)^{0.5} =0.758_{-0.076}^{+0.033}$ and $0.768_{-0.057}^{+0.030}$ with the source clustering information measured from the two cluster catalogs, CAMIRA and WZL, respectively. The asymmetric uncertainties are due to the different degeneracy direction of (Ωm, σ8) from high peak abundances comparing to that from the cosmic shear two-point correlations which give rise approximately the power index α = 0.5. Fitting to our constraints, we obtain α ≈ 0.38 and $\Sigma _8=\sigma _8(\Omega _{\rm m}/0.3)^{\alpha }=0.772_{-0.032}^{+0.028}$ (CAMIRA) and $0.781_{-0.033}^{+0.028}$ (WZL). In comparison with the results from non-tomographic peak analyses, the 1σ uncertainties on Σ8 are reduced by a factor of ∼1.3.

show abstract

Cosmological Studies from Tomographic Weak Lensing Peak Abundances and Impacts of Photo-z Errors

Cited by 6 publications

References 68 publications

Probing dark energy with tomographic weak-lensing aperture mass statistics

Probing dark energy with tomographic weak-lensing aperture mass statistics

Probing dark energy with tomographic weak-lensing aperture mass statistics

Cosmological studies from HSC-SSP tomographic weak-lensing peak abundances

Contact Info

Product

Resources

About