Article
Astronomy & Astrophysics
Giovanni Cabass
Summary: The study focuses on the EFT likelihood for biased tracers in redshift space, highlighting the importance of the bias expansion of the galaxy velocity field. The principle of equivalence restricts stochastic contributions to the galaxy velocity field to survive at small k. Consequently, the form of the likelihood function to observe a redshift-space galaxy overdensity is fixed by the rest-frame noise, which is Gaussian with a constant power spectrum. The analysis demonstrates that redshift-space distortions only affect the covariance in terms of the rest-frame matter and velocity fields.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Setareh Foroozan, Alex Krolewski, Will J. Percival
Summary: While measurements of Baryonic Acoustic Oscillation (BAO) signal positions align well with Fisher matrix predictions, measurements based on Redshift Space Distortion (RSD) of the growth rate f sigma(8) do not agree with initial predictions. This discrepancy is attributed to degeneracies with geometric parameters and optimistic assumptions about the scale for extracting linear signals. Current data and large-scale modeling techniques have found a consistent signal extraction for k less than or equal to 0.08 h Mpc(-1), regardless of sample properties and covered redshifts.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Shi-Fan Chen, Zvonimir Vlah, Martin White
Summary: A new method for analyzing the pre-and post-reconstruction galaxy two-point functions of the BOSS survey is presented. The post-reconstruction correlation function accurately measures the distance-redshift relation and expansion history, while the pre-reconstruction power spectrum multipoles constrain the broad-band shape and rate-of-growth of large-scale structure. The technique uses Lagrangian perturbation theory to directly work with the measured data at the level of two-point functions without approximations. Combining galaxies across the full redshift range and both hemispheres, constraints on Omega(m), H-0, and sigma(8) are obtained that are consistent with the Planck primary CMB anisotropy data and recent cosmic shear surveys.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Setareh Foroozan, Elena Massara, Will J. Percival
Summary: The low resolution of slitless spectroscopy may lead to line misidentification in future surveys, requiring correction for contaminants to avoid incorrect cosmological measurements.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Francesco Montanari, Stefano Camera
Summary: The study introduces a new method to estimate the signal-to-noise ratio of the harmonic-space galaxy bispectrum induced by gravity. Results indicate that the harmonic-space bispectrum can be detected in narrow spectroscopic redshift bins, even at mildly non-linear scales.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Matthew McQuinn
Summary: By studying a simplified universe model, it is found that linearized reconstruction produces similar results to the full nonlinear algorithm, indicating that existing reconstruction algorithms can extract most of the accessible information effectively. The effectiveness of reconstruction is influenced by the number of constraints, with linear scales allowing for precision below the shot noise expectation if galaxy Lagrangian displacements are sufficiently constrained.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Samuel Brieden, Hector Gil-Marin, Licia Verde
Summary: This study measures two values of the Hubble expansion rate, H0, based on different physical processes using large-scale structure galaxy data and Big Bang Nucleosynthesis abundances information. The results show good consistency between the two H0 values obtained, which are the tightest sound-horizon free constraints from LSS data to date. Any proposed ACDM extension needs to modify consistently both the sound horizon scale physics and the matter-radiation equality scale to address the so-called Hubble tension.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2023)
Article
Astronomy & Astrophysics
Hector Gil-Marin
Summary: This study reviews different methods of combining cosmological information from the full shape of power spectra, finding that the standard approach of combining at the level of BAO variables is nearly optimal, resulting in improved constraints at a faster speed.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Shi-Fan Chen, Zvonimir Vlah, Emanuele Castorina, Martin White
Summary: In this study, a method for computing the one-loop 2-point function of biased tracers in redshift space is presented using Lagrangian perturbation theory, with a full resummation of long-wavelength displacements and velocities. The model accurately predicts the power spectrum and correlation function of halos and mock galaxies, including baryon acoustic oscillation signal damping due to bulk galaxy motions. The study also compares this full resummation approach with other techniques and discusses the computation of resulting expressions numerically for efficient computation.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Atsushi Taruya, Kazuyuki Akitsu
Summary: This paper introduces a new formalism based on Lagrangian perturbation theory to systematically compute the response of a biased tracer of large-scale structure to super-sample modes. The formalism can reproduce previously derived power spectrum responses and offers an alternative way to compute statistical quantities with super-sample modes.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Obinna Umeh
Summary: This study addresses the challenges of computational estimation and high-dimensionality when using the anisotropic three-point correlation function for cosmological parameter inference. By utilizing multipole decompositions to reduce dimensionality, the full expression for the multipole moments and covariance matrix of the anisotropic 3PCF can be derived effectively. Optimal computation of multipole moments and their covariance is demonstrated using the 2D FFTLog formalism, involving integrals over product terms with bispectrum, power spectra, and spherical Bessel functions.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Shi-Fan Chen, Martin White, Joseph DeRose, Nickolas Kokron
Summary: We propose a formalism for jointly fitting pre-and post-reconstruction redshift-space clustering, baryon acoustic oscillations, and gravitational lensing. We analyze clustering measured by the Baryon Oscillation Spectroscopic Survey in combination with CMB lensing measured by Planck. The results provide valuable constraints on various cosmological parameters.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Thiago Mergulhao, Henrique Rubira, Rodrigo Voivodic, L. Raul Abramo
Summary: In this study, we investigate the impact of the perturbative bias expansion combined with the multi-tracer technique on the extraction of cosmological parameters. Our results show that using the multi-tracer approach provides more accurate and less biased constraints on omega(cdm) and h compared to using a single tracer. The multi-tracer approach also improves the constraints on the bias expansion parameters and reduces their errors.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Xiaohan Wu, Julian B. Munoz, Daniel J. Eisenstein
Summary: We propose a Lagrangian model for galaxy clustering bias, in which a neural network is trained using the local properties of the initial density field to predict the late-time mass-weighted halo field. We find that including three coarsely spaced smoothing scales gives the best recovery of the halo power spectrum, and adding more scales may cause underestimation and overfitting. We demonstrate that the fitted halo-to-mass ratio can be described by two principal components in the original high-dimensional feature space, and re-training the neural network with these components improves the matching of the halo power spectrum.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2023)
Article
Astronomy & Astrophysics
Thiago Mergulhao, Florian Beutler, John A. Peacock
Summary: Understanding the early universe is important for comprehending the late-time universe. This study used data from BOSS and eBOSS to constrain four primordial feature models. While no significant features were detected, next-generation galaxy surveys will improve sensitivity to features and expand the parameter space.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2023)
Article
Astronomy & Astrophysics
G. Parimbelli, S. Anselmi, M. Viel, C. Carbone, F. Villaescusa-Navarro, P. S. Corasaniti, Y. Rasera, R. Sheth, G. D. Starkman, I Zehavi
Summary: This study investigates the cosmological properties of massive neutrinos using N-body simulations and examines the impact of neutrino-induced scale-dependent growth on the position of the linear point (LP). The findings suggest that LP remains a reliable standard ruler for measuring cosmic distances even in the presence of massive neutrinos, providing a potential tool for constraining neutrino masses.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Physics, Multidisciplinary
Elena Massara, Francisco Villaescusa-Navarro, Shirley Ho, Neal Dalal, David N. Spergel
Summary: Cosmological neutrinos have a significant influence in voids, particularly in regions with high neutrino to dark matter density ratios. The use of marked power spectrum can enhance sensitivity to low-density regions over high-density regions. By combining marked and standard power spectra, constraints on cosmological parameters can be improved, with the potential to place significant constraints on the minimum sum of neutrino masses.
PHYSICAL REVIEW LETTERS
(2021)
Article
Astronomy & Astrophysics
Titouan Lazeyras, Francisco Villaescusa-Navarro, Matteo Viel
Summary: This study presents the first measurements of the assembly bias of dark matter halos in N-body simulations with massive neutrinos. It is found that neutrinos do not have a significant effect on the properties of dark matter halos such as concentration, spin, and ellipticity at fixed halo mass. The impact of neutrinos on spin and shape is mainly attributed to the change in the cold dark matter sigma(8) in neutrino simulations.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Shi-Fan Chen, Zvonimir Vlah, Emanuele Castorina, Martin White
Summary: In this study, a method for computing the one-loop 2-point function of biased tracers in redshift space is presented using Lagrangian perturbation theory, with a full resummation of long-wavelength displacements and velocities. The model accurately predicts the power spectrum and correlation function of halos and mock galaxies, including baryon acoustic oscillation signal damping due to bulk galaxy motions. The study also compares this full resummation approach with other techniques and discusses the computation of resulting expressions numerically for efficient computation.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Chirag Modi, Martin White, Emanuele Castorina, Anze Slosar
Summary: By adding external galaxy distribution data to the 21-cm surveys, the lost long wavelength modes can be partially recovered. The spectroscopic sample performs better in reconstructing the largest modes, despite having lower number density.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Andrej Obuljen, Will J. Percival
Summary: This study explores the impact of variations in galaxy-pair effective redshift on large-scale clustering in galaxy surveys, finding that surveys spanning a large redshift range have different effective redshifts depending on pair separation and angle, potentially resulting in scale-dependent clustering anisotropy. The effect is demonstrated on the eBOSS DR16 Quasar sample, showing a negligible impact on monopole but a significant tilt in quadrupole and hexadecapole measurements. Strategies for mitigating this effect are discussed.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Azadeh Moradinezhad Dizgah, Farnik Nikakhtar, Garrett K. Keating, Emanuele Castorina
Summary: Line intensity mapping is an emerging technique that has the potential to accurately probe signals at different scales and redshifts. By using simulations and modeling, researchers have been able to accurately predict clustering power and stochastic contributions of intensity fluctuations. Furthermore, this technique shows promise in measuring the baryon acoustic oscillations, which has important implications for cosmological studies in the future.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Emanuele Castorina, Enea Di Dio
Summary: Measurements of galaxy clustering in Fourier space provide insights into the early Universe and the effects of Primordial Non Gaussianities. Relativistic effects can complicate the interpretation of data and may diverge in the Infra-Red. This work calculates the ensemble average of a commonly used Fourier space estimator, considering all general relativistic effects. The study finds that once the individual divergent GR terms are taken into account, there is no Infra-Red sensitivity in the observable. Additionally, the importance of GR effects, including lensing magnification, in interpreting the galaxy power spectrum multipoles is investigated, revealing them to be generally small corrections to the leading redshift space distortions term.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Francisco Villaescusa-Navarro, Benjamin D. Wandelt, Daniel Angles-Alcazar, Shy Genel, Jose Manuel Zorrilla Matilla, Shirley Ho, David N. Spergel
Summary: Many studies have found that a wealth of cosmological information can be found on small scales, but there are challenges in utilizing this information due to the lack of an optimal estimator and the uncertain impact of baryonic effects. This work demonstrates that neural networks can achieve the extraction of maximum cosmological information while marginalizing over baryonic effects in simple scenarios, using power spectra and 2D Gaussian density fields as training data.
ASTROPHYSICAL JOURNAL
(2022)
Editorial Material
Astronomy & Astrophysics
Luca Teodori, Kfir Blum, Emanuele Castorina, Marko Simonovic, Yotam Soreq
Summary: In this paper, we discuss the issue of modeling degeneracies in strong lensing measurements of the Hubble parameter H-0. We highlight the importance of considering weak lensing effects associated with different segments of the line of sight, and propose the inclusion of external convergence terms to avoid bias in the inferred value of H-0. We also show that the use of imaging data for multiple strongly-lensed sources cannot fully resolve the mass sheet degeneracy.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Maria Archidiacono, Emanuele Castorina, Diego Redigolo, Ennio Salvioni
Summary: This study initiates the exploration of the cosmology of dark fifth forces, which are new forces acting solely on Dark Matter. It is found that the dark fifth force can be realized by a light scalar coupled to Dark Matter, and it has significant effects on the background cosmology and linear perturbations.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Kevin Pardede, Federico Rizzo, Matteo Biagetti, Emanuele Castorina, Emiliano Sefusatti, Pierluigi Monaco
Summary: A method to perform exact convolution of the model prediction for bispectrum multipoles in redshift space with the survey window function is presented. By extending a widely applied method for power spectrum convolution to bispectrum and utilizing a 2D-FFTlog algorithm, accurate results are obtained.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Elena Giusarma, Mauricio Reyes, Francisco Villaescusa-Navarro, Siyu He, Shirley Ho, ChangHoon Hahn
Summary: Measuring the sum of the three active neutrino masses, M(nu), is a crucial task in modern cosmology. In this study, a deep-learning network ((DM)-M-3) is proposed as a faster and accurate alternative to traditional N-body techniques for generating simulations with massive neutrinos. The results show that our method can generate simulations with a comparable power spectrum within nonlinear scales and is 10,000 times faster than traditional methods.
ASTROPHYSICAL JOURNAL
(2023)
Article
Astronomy & Astrophysics
Andrej Obuljen, Marko Simonovic, Aurel Schneider, Robert Feldmann
Summary: In this study, an analytical forward model based on perturbation theory is used to predict the neutral hydrogen (HI) overdensity maps at low redshifts. The model is compared to the simulated HI from the IllustrisTNG magneto-hydrodynamical simulation TNG300-1 to assess its performance. The results show that HI is a biased tracer of the underlying matter field and the model accurately describes the simulated HI power spectrum. The model also provides a simple and efficient way to generate accurate HI mock data.
Article
Astronomy & Astrophysics
Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro
Summary: Studying temperature fluctuations in the 21 cm signal is a promising way to explore the universe at high redshifts, but the signal is influenced by cosmology and astrophysical processes. Researchers conducted numerous numerical simulations and trained a convolutional neural network to remove astrophysical effects from the 21 cm maps, generating maps of the underlying matter field.
ASTROPHYSICAL JOURNAL
(2021)