The impact of baryonic physics and massive neutrinos on weak lensing peak statistics

Fong, Matthew; Choi, Miyoung; Catlett, Victoria; Lee, Brandyn; Peel, Austin; Bowyer, Rachel; King, Lindsay J.; McCarthy, Ian G.

doi:10.1093/mnras/stz1882

Cited by 27 publications

(19 citation statements)

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“…Quantitatively, we find a decrease of between 5% and 13% in the extremal values of our DVs depending on the considered DV and S/N bin. In particular, for peaks of S /N = 4 we measure a depletion of ∼5% due to baryons, in perfect agreement with measurements from Fong et al (2019) and Coulton et al (2020) on the BAHAMAS simulations, which present a similar amplitude of the baryonic feedback (see Fig. 1).…”

Section: Impact On Computed Statisticssupporting

confidence: 87%

“…State-of-the-art hydrodynamical simulations with box lengths of hundreds of megaparsecs and including realistic AGN feedback later enabled refinement of the measure of the bias on mass map estimators due to baryons. Fong et al (2019) measured a ∼10% reduction in the number of high signal-tonoise-ratio (S/N) M ap peaks in the BAHAMAS simulations (McCarthy et al 2017), with a particular look at possible degeneracies between the effect of baryons and that of massive neutrinos. Osato et al (2021) measured biases of the same order of magnitude on the number of peaks, the number of minima, and the lensing probability distribution function (PDF) in the TNG 300 simulation (Pillepich et al 2018), also highlighting a less pronounced bias at higher redshift.…”

Section: Introductionmentioning

confidence: 99%

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Impact of baryons in cosmic shear analyses with tomographic aperture mass statistics

Martinet

Castro

Harnois-Déraps

et al. 2021

A&A

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NonGaussian cosmic shear statistics based on weak-lensing aperture mass (Map) maps can outperform the classical shear two-point correlation function (γ-2PCF) in terms of cosmological constraining power. However, reaching the full potential of these new estimators requires accurate modeling of the physics of baryons as the extra nonGaussian information mostly resides at small scales. We present one such modeling based on the Magneticum hydrodynamical simulation for the KiDS-450 and DES-Y1 surveys and a Euclid-like survey. We compute the bias due to baryons on the lensing PDF and the distribution of peaks and voids in Map maps and propagate it to the cosmological forecasts on the structure growth parameter S8, the matter density parameter Ωm, and the dark energy equation of state w0 using the SLICS and cosmo-SLICS sets of dark-matter-only simulations. We report a negative bias of a few percent on S8 and Ωm and also measure a positive bias of the same level on w0 when including a tomographic decomposition. These biases reach ∼5% when combining Map statistics with the γ-2PCF as these estimators show similar dependency on the AGN feedback. We verify that these biases constitute a less than 1σ shift on the probed cosmological parameters for current cosmic shear surveys. However, baryons need to be accounted for at the percentage level for future Stage IV surveys and we propose to include the uncertainty on the AGN feedback amplitude by marginalizing over this parameter using multiple simulations such as those presented in this paper. Finally, we explore the possibility of mitigating the impact of baryons by filtering the Map map but find that this process would require suppressing the small-scale information to a point where the constraints would no longer be competitive.

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Section: Impact On Computed Statisticssupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Impact of baryons in cosmic shear analyses with tomographic aperture mass statistics

Martinet

Castro

Harnois-Déraps

et al. 2021

A&A

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“…The impact of baryonic processes on peak counts has been studied in previous works (e.g. Yang et al 2013;Osato, Shirasaki & Yoshida 2015;Fong et al 2019;Weiss et al 2019). Here, we extend the study to cosmological parameter constraints, using hydrodynamical simulations.…”

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confidence: 85%

Weak lensing minima and peaks: Cosmological constraints and the impact of baryons

Coulton

Liu

McCarthy

et al. 2020

Monthly Notices of the Royal Astronomical Society

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We present a novel statistic to extract cosmological information in weak lensing data: the lensing minima. We also investigate the effect of baryons on cosmological constraints from peak and minimum counts. Using the MassiveNuS simulations, we find that lensing minima are sensitive to non-Gaussian cosmological information and are complementary to the lensing power spectrum and peak counts. For an LSST-like survey, we obtain $95{{\ \rm per\ cent}}$ credible intervals from a combination of lensing minima and peaks that are significantly stronger than from the power spectrum alone, by $44{{\ \rm per\ cent}}$, $11{{\ \rm per\ cent}}$, and $63{{\ \rm per\ cent}}$ for the neutrino mass sum ∑mν, matter density Ωm, and amplitude of fluctuation As, respectively. We explore the effect of baryonic processes on lensing minima and peaks using the hydrodynamical simulations BAHAMAS and Osato15. We find that ignoring baryonic effects would lead to strong (≈4σ) biases in inferences from peak counts, but negligible (≈0.5σ) for minimum counts, suggesting lensing minima are a potentially more robust tool against baryonic effects. Finally, we demonstrate that the biases can in principle be mitigated without significantly degrading cosmological constraints when we model and marginalize the baryonic effects.

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“…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%

Probing dark energy with tomographic weak-lensing aperture mass statistics

Martinet

Harnois-Déraps

Jullo

et al. 2021

A&A

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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.

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The impact of baryonic physics and massive neutrinos on weak lensing peak statistics

Cited by 27 publications

References 100 publications

Impact of baryons in cosmic shear analyses with tomographic aperture mass statistics

Impact of baryons in cosmic shear analyses with tomographic aperture mass statistics

Weak lensing minima and peaks: Cosmological constraints and the impact of baryons

Probing dark energy with tomographic weak-lensing aperture mass statistics

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