Dark Energy Survey Year 3 results: Galaxy-halo connection from galaxy-galaxy lensing

Zacharegkas, G.; Chang, C.; Prat, J.; Pandey, S.; Ferrero, I.; Blazek, J.; Jain, B.; Crocce, M.; DeRose, J.; Palmese, A.; Seitz, S.; Sheldon, E.; Hartley, W. G.; Wechsler, R. H.; Dodelson, S.; Fosalba, P.; Krause, E.; Park, Y.; Sánchez, C.; Alarcon, A.; Amon, A.; Bechtol, K.; Becker, M. R.; Bernstein, G. M.; Campos, A.; Rosell, A. Carnero; Kind, M. Carrasco; Cawthon, R.; Chen, R.; Choi, A.; Cordero, J.; Davis, C.; Diehl, H. T.; Doux, C.; Drlica-Wagner, A.; Eckert, K.; Elvin-Poole, J.; Everett, S.; Ferté, A.; Gatti, M.; Giannini, G.; Gruen, D.; Gruendl, R. A.; Harrison, I.; Herner, K.; Huff, E. M.; Jarvis, M.; Kuropatkin, N.; Leget, P. -F.; MacCrann, N.; McCullough, J.; Myles, J.; Navarro-Alsina, A.; Porredon, A.; Raveri, M.; Rollins, R. P.; Roodman, A.; Ross, A. J.; Rykoff, E. S.; Secco, L. F.; Sevilla-Noarbe, I.; Shin, T.; Troxel, M. A.; Tutusaus, I.; Varga, T. N.; Yanny, B.; Yin, B.; Zhang, Y.; Zuntz, J.; Abbott, T. M. C.; Aguena, M.; Allam, S.; Andrade-Oliveira, F.; Annis, J.; Bacon, D.; Bertin, E.; Brooks, D.; Burke, D. L.; Carretero, J.; Castander, F. J.; Costanzi, M.; da Costa, L. N.; Pereira, M. E. S.; Desai, S.; Dietrich, J. P.; Doel, P.; Evrard, A. E.; Flaugher, B.; Frieman, J.; García-Bellido, J.; Gaztanaga, E.; Gschwend, J.; Gutierrez, G.; Hinton, S. R.; Hollowood, D. L.; Honscheid, K.; Hoyle, B.; James, D. J.; Kuehn, K.; Lima, M.; Maia, M. A. G.; Marshall, J. L.; Melchior, P.; Menanteau, F.; Miquel, R.; Muir, J.; Ogando, R. L. C.; Paz-Chinchón, F.; Pieres, A.; Sanchez, E.; Serrano, S.; Smith, M.; Suchyta, E.; Tarle, G.; Thomas, D.; To, C.; Wilkinson, R. D.

doi:10.48550/arxiv.2106.08438

Cited by 4 publications

(9 citation statements)

References 74 publications

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“…Nevertheless, it seems that for samples of LRGs observed by current and upcoming surveys this parameterization might be sufficient (Zacharegkas et al 2021, however, see Yuan et al (2021 for further discussion on this topic). Understanding the applicability of the standard HOD parameterization is an active subject of research (Hadzhiyska et al 2020), with recent results indicating that alternative samples of galaxies such as emission line galaxies observed by DESI will require alternative parameterizations (Hadzhiyska et al 2021b).…”

Section: Halo Occupation Distributionsmentioning

confidence: 99%

Priors on red galaxy stochasticity from hybrid effective field theory

Kokron

DeRose

Chen

et al. 2022

Monthly Notices of the Royal Astronomical Society

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We investigate the stochastic properties of typical red galaxy samples in a controlled numerical environment. We use Halo Occupation Distribution (HOD) modelling to create mock realizations of three separate bright red galaxy samples consistent with datasets used for clustering and lensing analyses in modern galaxy surveys. Second-order Hybrid Effective Field Theory (HEFT) is used as a field-level forward model to describe the full statistical distribution of these tracer samples, and their stochastic power spectra are directly measured and compared to the Poisson shot-noise prediction. While all of the galaxy samples we consider are hosted within haloes with sub-Poisson stochasticity, we observe that the galaxy samples themselves possess stochasticities that range from sub-Poisson to super-Poisson, in agreement with predictions from the halo model. As an application of our methodology, we place priors on the expected degree of non-Poisson stochasticity in cosmological analyses using such samples. We expect these priors will be useful in reducing the complexity of the full parameter space for future analyses using second-order Lagrangian bias models. More generally, the techniques outlined here present the first application of hybrid EFT methods to characterize models of the galaxy–halo connection at the field level, revealing new connections between once-disparate modelling frameworks.

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Section: Halo Occupation Distributionsmentioning

confidence: 99%

Priors on red galaxy stochasticity from hybrid effective field theory

Kokron

DeRose

Chen

et al. 2022

Monthly Notices of the Royal Astronomical Society

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show abstract

“…Stacking halos to boost the lensing signal is also possible as we are only interested in the mean relation. Measurements of galaxy-galaxy lensing are also a potential avenue; Zacharegkas et al (2021) used a 𝑐 200c − 𝑀 200c relation alongside a halo occupation distribution (HOD) framework to fit small-scale galaxy-galaxy lensing measurements (𝑟 > 70 kpc) and constrain cosmology. However, one could fix the cosmology and HOD parameters, and then employ the same methodology to constrain the 𝑐 200c − 𝑀 200c relation instead.…”

Section: Observable Consequence: Concentration Vs Central Galaxy Stel...mentioning

confidence: 99%

Baryonic Imprints on DM Halos: Population Statistics from Dwarf Galaxies to Galaxy Clusters

Anbajagane,

Evrard,

Farahi

2021

Preprint

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In a purely cold dark matter universe, the initial matter power spectrum and its subsequent gravitational growth contain no special mass-or time-scales, and so neither do the emergent population statistics of internal dark matter (DM) halo properties. Using 1.5 million halos from three I TNG realizations of a ΛCDM universe, we show that galaxy formation physics drives non-monotonic features ("wiggles") into DM property statistics across six decades in halo mass, from dwarf galaxies to galaxy clusters. We characterize these features by extracting the halo mass-dependent statistics of five DM halo properties -velocity dispersion, NFW concentration, density-and velocity-space shapes, and formation time -using kernellocalized linear regression (K ). Comparing precise estimates of normalizations, slopes, and covariances between realizations with and without galaxy formation, we find systematic deviations across all mass-scales, with maximum deviations of 25% at the Milky-Way mass of 10 12 M . The mass-dependence of the wiggles is set by the interplay between different cooling and feedback mechanisms, and we discuss its observational implications. The property covariances depend strongly on halo mass and physics treatment, but the correlations are mostly robust. Using multivariate K and interpretable machine learning, we show the halo concentration and velocity-space shape are principal contributors, at different mass, to the velocity dispersion variance. Statistics of mass accretion rate and DM surface pressure energy are provided in an appendix. We publicly release halo property catalogs and K parameters for the TNG runs at twenty epochs up to 𝑧 = 12.

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“…To alleviate these discrepancies, we have slightly tuned the parameters of the DESY3 redMaGiC HOD in a way that recovers the satellite fractions, mean host halo masses, and number densities reported in Zacharegkas et al (2021) in our simulations. We show the resulting HOD compared to the original in Fig.…”

Section: Simulations and Samplesmentioning

confidence: 99%

“…The light blue shade corresponds to the 'DESY3-like' sample we adopt as our fiducial in this publication. The darker blue shade corresponds to the occupation as constrained inZacharegkas et al (2021). The solid (dashed) lines show the number of total (satellite) galaxies per halo mass, respectively.…”

mentioning

confidence: 99%

Priors on red galaxy stochasticity from hybrid effective field theory

Kokron,

DeRose,

Chen

et al. 2021

Preprint

View full text Add to dashboard Cite

We investigate the stochastic properties of typical red galaxy samples in a controlled numerical environment. We use Halo Occupation Distribution (HOD) modelling to create mock realizations of three separate bright red galaxy samples consistent with datasets used for clustering and lensing analyses in modern galaxy surveys. Second-order Hybrid Effective Field Theory (HEFT) is used as a field-level forward model to describe the full statistical distribution of these tracer samples, and their stochastic power spectra are directly measured and compared to the Poisson shot-noise prediction. While all of the galaxy samples we consider are hosted within haloes with sub-Poisson stochasticity, we observe that the galaxy samples themselves possess stochasticities that range from sub-Poisson to super-Poisson, in agreement with predictions from the halo model. As an application of our methodology, we place priors on the expected degree of non-Poisson stochasticity in cosmological analyses using such samples. We expect these priors will be useful in reducing the complexity of the full parameter space for future analyses using second-order Lagrangian bias models. More generally, the techniques outlined here present the first application of hybrid EFT methods to characterize models of the galaxy-halo connection at the field level, revealing new connections between once-disparate modelling frameworks.

show abstract

Dark Energy Survey Year 3 results: Galaxy-halo connection from galaxy-galaxy lensing

Cited by 4 publications

References 74 publications

Priors on red galaxy stochasticity from hybrid effective field theory

Priors on red galaxy stochasticity from hybrid effective field theory

Baryonic Imprints on DM Halos: Population Statistics from Dwarf Galaxies to Galaxy Clusters

Priors on red galaxy stochasticity from hybrid effective field theory

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