Dark Energy Survey year 1 results: the relationship between mass and light around cosmic voids

Fang, Yuedong; Hamaus, Nico; Jain, Bhuvnesh; Pandey, Shivam; Pollina, Giorgia; Sánchez, C.; Kovács, András; Chang, C. L.; Carretero, J.; Castander, F. J.; Choi, A.; Crocce, M.; DeRose, Joseph J.; Fosalba, P.; Gatti, M.; Gaztañaga, E.; Gruen, D.; Hartley, W. G.; Hoyle, B.; MacCrann, N.; Prat, J.; Rau, Markus; Rykoff, E. S.; Samuroff, S.; Sheldon, E.; Troxel, M. A.; Vielzeuf, P.; Zuntz, Joe; Annis, J.; Ávila, S.; Bertin, E.; Brooks, D.; Burke, D. L.; Rosell, A. Carnero; Kind, M. Carrasco; Cawthon, R.; Costa, L. N. da; Vicente, J. De; Desai, S.; Diehl, H. T.; Dietrich, J. P.; Doel, P.; Everett, S.; Evrard, August E.; Flaugher, B.; Frieman, Joshua A.; García-Bellido, J.; Gerdes, D. W.; Gruendl, R. A.; Gutiérrez, G.; Hollowood, D. L.; James, D. J.; Jarvis, Mike; Kuropatkin, N.; Lahav, O.; Maia, M. A. G.; Marshall, J. L.; Melchior, P.; Menanteau, F.; Miquel, R.; Palmese, A.; Plazas, A. A.; Romer, A. K.; Roodman, A.; Sánchez, E.; Serrano, S.; Sevilla-Noarbe, I.; Smith, M.; Soares-Santos, M.; Sobreira, F.; Suchyta, E.; Swanson, M. E. C.; Tarlè, G.; Thomas, Daniel; Vikram, V.; Walker, A. R.; Weller, J.

doi:10.1093/mnras/stz2805

Cited by 42 publications

(42 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On fitting the model to data, they find a relative amplitude factor α v = 0.67 ± 0.2, close to 2σ smaller than the expectation α v = 1, and entirely consistent with our result for A naive L given their larger uncertainties. Using lensing shear measurements for a different catalog of voids obtained from galaxy samples in DES Year 1 with photometric redshifts only, Fang et al (2019) report better agreement with the assumption of a linear relationship between the void matter and galaxy density profiles, but again with an effective bias factor that is in excess of that determined from galaxy clustering for the vast majority (∼ 85%) of voids (e.g., see their Figure 14).…”

Section: Testing the Linear Bias Model In Voidsmentioning

confidence: 76%

The Gravitational Lensing Signatures of BOSS Voids in the Cosmic Microwave Background

Raghunathan

Nadathur

Sherwin

et al. 2020

ApJ

View full text Add to dashboard Cite

We report a 5.3σ detection of the gravitational lensing effect of cosmic voids from the Baryon Oscillation Spectroscopic (BOSS) Data Release 12 seen in the Planck 2018 cosmic microwave background (CMB) lensing convergence map. To make this detection, we introduce new optimal techniques for void stacking and filtering of the CMB maps, such as binning voids by a combination of their observed galaxy density and size to separate those with distinctive lensing signatures. We calibrate theoretical expectations for the void-lensing signal using mock catalogs generated in a suite of 108 full-sky lensing simulations from Takahashi et al. (2017). Relative to these templates, we measure the lensing amplitude parameter in the data to be A L = 1.10 ± 0.21 using a matched-filter stacking technique, and confirm it using an alternative Wiener filtering method. We demonstrate that the result is robust against thermal Sunyaev-Zel'dovich contamination and other sources of systematics. We use the lensing measurements to test the relationship between the matter and galaxy distributions within voids, and show that the assumption of linear bias with a value consistent with galaxy clustering results is discrepant with observation at ∼ 3σ; we explain why such a result is consistent with simulations and previous results, and is expected as a consequence of void selection effects. We forecast the potential for void-CMB lensing measurements in future data from the Advanced ACT, Simons Observatory and CMB-S4 experiments, showing that, for the same number of voids, the achievable precision improves by a factor of more than two compared to Planck.Unified Astronomy Thesaurus concepts: Cosmology (343); Cosmic microwave background radiation (322); Weak gravitational lensing (1797); Large-scale structure of the universe (902); Voids (1779)

show abstract

Section: Testing the Linear Bias Model In Voidsmentioning

confidence: 76%

The Gravitational Lensing Signatures of BOSS Voids in the Cosmic Microwave Background

Raghunathan

Nadathur

Sherwin

et al. 2020

ApJ

View full text Add to dashboard Cite

show abstract

“…Hamaus et al 2020, and references therein). It has already been successfully used to study voids in the DES Y1 data (Pollina et al 2019;Fang et al 2019).…”

Section: Discussionmentioning

confidence: 99%

“…In the wide field, we randomly selected a subsample of the clusters with richness λ RM > 35; for the small inset, we zoom in on the (randomly chosen) location (RA, Dec) = ( 70 (see e.g. Fang et al 2019). They certainly are useful tools in void lensing studies (Davies et al 2018) and they have been widely used in previous DES analyses (see e.g.…”

Section: Cosmic Void Imprintsmentioning

confidence: 99%

See 1 more Smart Citation

Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction

Jeffrey

Gatti

Chang

et al. 2021

Monthly Notices of the Royal Astronomical Society

Self Cite

View full text Add to dashboard Cite

We present reconstructed convergence maps, mass maps, from the Dark Energy Survey (DES) third year (Y3) weak gravitational lensing data set. The mass maps are weighted projections of the density field (primarily dark matter) in the foreground of the observed galaxies. We use four reconstruction methods, each is a maximum a posteriori estimate with a different model for the prior probability of the map: Kaiser-Squires, null B-mode prior, Gaussian prior, and a sparsity prior. All methods are implemented on the celestial sphere to accommodate the large sky coverage of the DES Y3 data. We compare the methods using realistic ΛCDM simulations with mock data that are closely matched to the DES Y3 data. We quantify the performance of the methods at the map level and then apply the reconstruction methods to the DES Y3 data, performing tests for systematic error effects. The maps are compared with optical foreground cosmic-web structures and are used to evaluate the lensing signal from cosmic-void profiles. The recovered dark matter map covers the largest sky fraction of any galaxy weak lensing map to date.

show abstract

“…Most studies use galaxy voids, which are identified as underdense regions in the galaxy distribution (e.g., Pan et al 2012;Paz et al 2013;Sutter et al 2014;Cautun et al 2016;Nadathur 2016;Mao et al 2017;Pollina et al 2019;Hamaus et al 2020;Aubert et al 2020), where galaxy void statistics are complementary to the galaxy power spectrum and baryonic acoustic oscillations (e.g., Pisani et al 2015;Hamaus et al 2016;Nadathur et al 2019). Recently, void WL profiles have also been shown to be a powerful cosmological probe (see, e.g., Melchior et al 2014;Clampitt & Jain 2015;Cai et al 2015;Barreira et al 2015;Gruen et al 2016;Barreira et al 2017;Falck et al 2018;Baker et al 2018;Fang et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Constraining cosmology with weak lensing voids

Davies

Cautun

Giblin

et al. 2021

Monthly Notices of the Royal Astronomical Society

View full text Add to dashboard Cite

Upcoming surveys such as lsst and euclid will significantly improve the power of weak lensing as a cosmological probe. To maximise the information that can be extracted from these surveys, it is important to explore novel statistics that complement standard weak lensing statistics such as the shear-shear correlation function and peak counts. In this work, we use a recently proposed weak lensing observable — weak lensing voids — to make parameter constraint forecasts for an $\rm \small {LSST}$-like survey. We use the cosmo-SLICS wCDM simulation suite to measure void statistics as a function of cosmological parameters. The simulation data is used to train a Gaussian process regression emulator that we use to generate likelihood contours and provide parameter constraints from mock observations. We find that the void abundance is more constraining than the tangential shear profiles, though the combination of the two gives additional constraining power. We forecast that without tomographic decomposition, these void statistics can constrain the matter fluctuation amplitude, S8 within 0.3 per cent (68 per cent confidence interval), while offering 1.5, 1.5 and 2.7 per cent precision on the matter density parameter, Ωm, the reduced Hubble constant, h, and the dark energy equation of state parameter, w0, respectively. These results are tighter than the constraints from the shear-shear correlation function with the same observational specifications for Ωm, S8 and w0. The constraints from the WL voids also have complementary parameter degeneracy directions to the shear 2PCF for all combinations of parameters that include h, making weak lensing void statistics a promising cosmological probe.

show abstract

Dark Energy Survey year 1 results: the relationship between mass and light around cosmic voids

Cited by 42 publications

References 104 publications

The Gravitational Lensing Signatures of BOSS Voids in the Cosmic Microwave Background

The Gravitational Lensing Signatures of BOSS Voids in the Cosmic Microwave Background

Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction

Constraining cosmology with weak lensing voids

Contact Info

Product

Resources

About