The Halo Bias inside Cosmic Voids

Verza, Giovanni; Carbone, C.; Renzi, A.

doi:10.3847/2041-8213/ac9d98

Cited by 17 publications

(12 citation statements)

References 111 publications

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“…Despite the different characteristics of the PATCHY catalogs leading to an overall increase in the precision on the cosmological parameters with respect to the BOSS data, we note that part of the constraining power is absorbed by the Vdn model nuisance parameters C slope and C offset , when not kept fixed to their best-fit values. This shows how a rigorous calibration of these parameters is fundamental to maximize the effectiveness of the void size function as a cosmological probe (Contarini et al 2021;Verza et al 2022).…”

Section: Appendix B Methods Validationmentioning

confidence: 99%

“…This case corresponds to the ideal assumption of using volume-unlimited cosmological simulations perfectly reproducing the survey data that one wants to study or, alternatively, to have a size function model including a fully theoretical description of both the effects of redshift-space distortions and mass tracer bias. This approach has been explored from a theoretical point of view in recent works (e.g., Verza et al 2022), but a complete and calibration-independent model has not yet been provided. Although optimistic, this first approach shows the full potential of the methodology and is useful to understand the limitations related to the calibration procedure; the analysis performed with fixed values of C slope and C offset will be labeled hereafter as fixed calibration.…”

Section: Model Calibrationmentioning

confidence: 99%

See 1 more Smart Citation

Cosmological Constraints from the BOSS DR12 Void Size Function

Contarini,

Pisani,

Hamaus

et al. 2023

ApJ

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We present the first cosmological constraints derived from the analysis of the void size function. This work relies on the final Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 12 (DR12) data set, a large spectroscopic galaxy catalog, ideal for the identification of cosmic voids. We extract a sample of voids from the distribution of galaxies, and we apply a cleaning procedure aimed at reaching high levels of purity and completeness. We model the void size function by means of an extension of the popular volume-conserving model, based on two additional nuisance parameters. Relying on mock catalogs specifically designed to reproduce the BOSS DR12 galaxy sample, we calibrate the extended size function model parameters and validate the methodology. We then apply a Bayesian analysis to constrain the Lambda cold dark matter (ΛCDM) model and one of its simplest extensions, featuring a constant dark energy equation of state parameter, w. Following a conservative approach, we put constraints on the total matter density parameter and the amplitude of density fluctuations, finding Ωm = 0.29 ± 0.06 and σ 8 = 0.79 − 0.08 + 0.09 . Testing the alternative scenario, we derive w = −1.1 ± 0.2, in agreement with the ΛCDM model. These results are independent and complementary to those derived from standard cosmological probes, opening up new ways to identify the origin of potential tensions in the current cosmological paradigm.

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Section: Appendix B Methods Validationmentioning

confidence: 99%

Section: Model Calibrationmentioning

confidence: 99%

Cosmological Constraints from the BOSS DR12 Void Size Function

Contarini,

Pisani,

Hamaus

et al. 2023

ApJ

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“…In this analysis, we have used the "Dark Energy and Massive Neutrino Universe" (DEMNUni) suite of large N-body simulations [12]. The DEMNUni simulations have been produced with the aim of investigating the large-scale structure of the Universe in the presence of massive neutrinos and dynamical DE, and they were conceived for the nonlinear analysis and modelling of different probes, including dark matter, halo, and galaxy clustering [13][14][15][16][17][18][19][20][21], CMB lensing, Sunyaev-Zel'dovich and integrated Sachs-Wolfe effects [12,22,23], cosmic void statistics [24][25][26][27], as well as cross-correlations among these probes [28,29].…”

Section: Deflection Angle Distribution Reconstructionmentioning

confidence: 99%

Cosmic Background Neutrinos Deflected by Gravity: DEMNUni Simulation Analysis

Hernández¹,

Carbone²,

Jiménez³

et al. 2023

Preprint

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The local supercluster acts as a gravity deflection source for cosmic background neutrinos. This deflection by gravity changes the neutrino helicity and therefore has important consequences for ground based tritium capture experiments aimed at determining if the neutrino is Dirac or Majorana. Here we explore the deflection effect of the local supercluster using the higher resolution DEMNUni simulation suite and reaffirm our previous results. We show that the lightest neutrinos are ultra-relativistic enough to suffer little deflection by gravity and at the same time not relativistic enough to achieve the same capture rate for Dirac and Majorana cases. This means that the capture rate in Ptolemy-like experiments will be sensitive to the neutrino nature and that gravity deflection enlarges the difference between Majorana and Dirac rates. Moreover, using the relation between mass and momentum of the neutrinos frozen Fermi-Dirac distribution, we are able to calculate the deflection angle for different neutrino masses from the same set of neutrinos obtained from the simulation. Doing so, we provide a formula to compute the deflection angle for any neutrino mass, such that when cosmology detects an absolute neutrino mass, precise predictions can be made for tritium ground-based detectors on Earth aimed to determine neutrinos nature.

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“…Originally developed for testing different probes in the presence of massive neutrinos and dynamical dark energy, the Dark Energy and Massive Neutrino Universe (DEMNUni) (Carbone et al 2016) experiment is a suite of N-Body simulations (Roncarelli et al 2015;Castorina et al 2015;Moresco et al 2017;Fabbian et al 2018;Ruggeri et al 2018;Kreisch et al 2019;Schuster et al 2019;Verza et al 2019;Parimbelli et al 2021aParimbelli et al , 2022bVerza et al 2022b;Guidi et al 2022;Verza et al 2022a;Hernández-Molinero et al 2023) in ΛCDM, plus different νw 0 w a CDM cosmological scenarios. The largest simulations follow the evolution of 2048 3 CDM and (if present) 2048 3 neutrino particles, in a box of side L = 2 Gpc/h.…”

Section: Demnuni_cov N-body Simulationsmentioning

confidence: 99%

COVMOS: A new Monte Carlo approach for galaxy clustering analysis

Baratta

Bel

Gouyou

et al. 2023

A&A

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We validate the COVMOS method introduced in our previous study allowing for the fast simulation of catalogues of different cosmological field tracers (e.g. dark matter particles, halos, galaxies, etc.). The power spectrum and one-point probability distribution function of the underlying tracer's density field are set as inputs of the method and arbitrarily chosen by the user. To evaluate the validity domain of COVMOS at the level of the produced two-point statistics covariance matrix, we chose to target these two input statistical quantities from realistic N-body simulation outputs. We performed this cloning procedure based on the ΛCDM as well as on a massive neutrino cosmology, for five redshifts in the range of z ∈ [0, 2]. First, we validated the output real-space two-point statistics (both in the configuration and Fourier space) and estimated over 5, 000 COVMOS realisations per redshift and per cosmology, with a volume of 1 [Gpc/h] 3 and 10 8 particles each. This validation was performed against the corresponding N-body measurements, estimated from 50 simulations. We found the method to be valid up to k ∼ 0.2h/Mpc for the power spectrum and down to r ∼ 20 Mpc/h for the correlation function. Then, we extended the method by proposing a new modelling of the peculiar velocity distribution, aimed at reproducing the redshift-space distortions both in the linear and mildly non-linear regimes. After validating this prescription, we finally compared and validated the resulting redshift-space two-point statistics covariance matrices in the same range of scales. We released the Python code associated with this method on a public repository, which allows for the production of tens of thousands of realisations in record time. In particular, COVMOS is intended for any study involving large-scale galaxy-survey science that requires a large number of mock realisations.

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The Halo Bias inside Cosmic Voids

Cited by 17 publications

References 111 publications

Cosmological Constraints from the BOSS DR12 Void Size Function

Cosmological Constraints from the BOSS DR12 Void Size Function

Cosmic Background Neutrinos Deflected by Gravity: DEMNUni Simulation Analysis

COVMOS: A new Monte Carlo approach for galaxy clustering analysis

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