Article
Astronomy & Astrophysics
Yue Nan, Kazuhiro Yamamoto
Summary: In this study, a dynamical model for dark energy based on an ultralight mass scalar field with large-scale inhomogeneities is considered. The model is found to have observable impacts on the anisotropic properties of the cosmic microwave background (CMB) intensity and luminosity distance. Numerical solutions show that the model can mimic the standard ΛCDM cosmology, including spatially dependent dark energy with flexible ranges of model parameters. Constraints on the amplitude of these inhomogeneities are also put forward through observations of the CMB anisotropies, along with discussions on their influence on the estimation of the luminosity distance.
Article
Astronomy & Astrophysics
Matteo Martinelli, Roohi Dalal, Fereshteh Majidi, Yashar Akrami, Stefano Camera, Elena Sellentin
Summary: Upcoming galaxy surveys will improve sensitivity and coverage of the cosmic large-scale structure, but standard approximations break down at these scales, creating issues for parameter estimation. This study quantifies the bias and proposes a debiasing method for obtaining accurate cosmological parameters from ultralarge-scale observations.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Astronomy & Astrophysics
Constance Mahony, Maria Cristina Fortuna, Benjamin Joachimi, Andreas Korn, Henk Hoekstra, Samuel J. Schmidt
Summary: Recent works have shown that weak lensing magnification must be included in large-scale structure analyses to avoid biasing the cosmological results. This study investigates the impact of including magnification on the precision of cosmological constraints in an LSST galaxy clustering analysis and finds that it has little effect on the precision of the constraints.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Astronomy & Astrophysics
Ginevra Favole, Benjamin R. Granett, Javier Silva Lafaurie, Domenico Sapone
Summary: The study investigates the jackknife method for internal covariance estimation in large-scale structure surveys, exploring the impact of jackknife size and number of resamplings on the precision of the covariance estimate and errors in cosmological parameters. Results show that the baryon acoustic scale error estimate is independent of the jackknife scale, while the shift parameter a exhibits variations in error estimates from different datasets.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
P. Lemos, N. Weaverdyck, R. P. Rollins, J. Muir, A. Ferte, A. R. Liddle, A. Campos, D. Huterer, M. Raveri, J. Zuntz, E. Di Valentino, X. Fang, W. G. Hartley, M. Aguena, S. Allam, J. Annis, E. Bertin, S. Bocquet, D. Brooks, D. L. Burke, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, F. J. Castander, A. Choi, M. Costanzi, M. Crocce, L. N. da Costa, M. E. S. Pereira, J. P. Dietrich, S. Everett, I Ferrero, J. Frieman, J. Garcia-Bellido, M. Gatti, E. Gaztanaga, D. W. Gerdes, D. Gruen, R. A. Gruendl, J. Gschwend, G. Gutierrez, S. R. Hinton, D. L. Hollowood, K. Honscheid, D. J. James, K. Kuehn, N. Kuropatkin, M. Lima, M. March, P. Melchior, F. Menanteau, R. Miquel, R. Morgan, A. Palmese, F. Paz-Chinchon, A. Pieres, A. A. Plazas Malagon, A. Porredon, E. Sanchez, V Scarpine, M. Schubnell, S. Serrano, I Sevilla-Noarbe, M. Smith, E. Suchyta, M. E. C. Swanson, G. Tarle, D. Thomas, C. To, T. N. Varga, J. Weller
Summary: Recent cosmological analyses have used various algorithms to sample from posterior distributions, but the justification for the choice and settings of the samplers is often lacking. In this study, three samplers were investigated to motivate and validate the algorithm and settings used for the Dark Energy Survey (DES) analyses. The findings showed that polychord provides a good balance of speed and robustness and is recommended for analyses with DES Y3 data.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Astronomy & Astrophysics
P. Lemos, M. Raveri, A. Campos, Y. Park, C. Chang, N. Weaverdyck, D. Huterer, A. R. Liddle, J. Blazek, R. Cawthon, A. Choi, J. DeRose, S. Dodelson, C. Doux, M. Gatti, D. Gruen, I Harrison, E. Krause, O. Lahav, N. MacCrann, J. Muir, J. Prat, M. M. Rau, R. P. Rollins, S. Samuroff, J. Zuntz, M. Aguena, S. Allam, J. Annis, S. Avila, D. Bacon, G. M. Bernstein, E. Bertin, D. Brooks, D. L. Burke, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, F. J. Castander, C. Conselice, M. Costanzi, M. Crocce, M. E. S. Pereira, T. M. Davis, J. De Vicente, S. Desai, H. T. Diehl, P. Doel, K. Eckert, T. F. Eifler, J. Elvin-Poole, S. Everett, A. E. Evrard, I Ferrero, A. Ferte, B. Flaugher, P. Fosalba, J. Frieman, J. Garcia-Bellido, E. Gaztanaga, D. W. Gerdes, T. Giannantonio, R. A. Gruendl, J. Gschwend, G. Gutierrez, W. G. Hartley, S. R. Hinton, D. L. Hollowood, K. Honscheid, B. Hoyle, E. M. Huff, D. J. James, M. Jarvis, M. Lima, M. A. G. Maia, M. March, J. L. Marshall, P. Martini, P. Melchior, F. Menanteau, R. Miquel, J. J. Mohr, R. Morgan, J. Myles, R. L. C. Ogando, A. Palmese, S. Pandey, F. Paz-Chinchon, A. A. Plazas Malagon, M. Rodriguez-Monroy, A. Roodman, E. Sanchez, V Scarpine, M. Schubnell, L. F. Secco, S. Serrano, I Sevilla-Noarbe, M. Smith, M. Soares-Santos, E. Suchyta, M. E. C. Swanson, G. Tarle, D. Thomas, C. To, M. A. Troxel, T. N. Varga, J. Weller, W. Wester
Summary: Quantifying tensions in cosmological parameters measured by different experiments is important for identifying potential new physics beyond the standard cosmological model. Different tension estimators yield similar results when comparing DES and Planck data, with Bayes ratio showing some inconsistency due to prior volume dependence. These metrics provide a robust toolset for testing tensions in cosmological data.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Fulvio Melia, Qingbo Ma, Jun-Jie Wei, Bo Yu
Summary: This paper investigates potential anomalies in the fluctuation spectrum of the cosmic microwave background temperature, suggesting that the cutoff in the primordial power spectrum may explain both the low level of correlation at large angles and missing power in the low multipole moments of the angular power spectrum. The study confirms that introducing this cutoff does not affect the overall consistency between Planck-ΛCDM prediction and measurements at l30.
ASTRONOMY & ASTROPHYSICS
(2021)
Article
Astronomy & Astrophysics
Hung-Jin Huang, Tim Eifler, Rachel Mandelbaum, Gary M. Bernstein, Anqi Chen, Ami Choi, Juan Garcia-Bellido, Dragan Huterer, Elisabeth Krause, Eduardo Rozo, Sukhdeep Singh, Sarah Bridle, Joseph DeRose, Jack Elvin-Poole, Xiao Fang, Oliver Friedrich, Marco Gatti, Enrique Gaztanaga, Daniel Gruen, Will Hartley, Ben Hoyle, Mike Jarvis, Niall MacCrann, Vivian Miranda, Markus Rau, Judit Prat, Carles Sanchez, Simon Samuroff, Michael Troxel, Joe Zuntz, Tim Abbott, Michel Aguena, James Annis, Santiago Avila, Matthew Becker, Emmanuel Bertin, David Brooks, David Burke, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Francisco Javier Castander, Luiz da Costa, Juan De Vicente, Joerg Dietrich, Peter Doel, Spencer Everett, Brenna Flaugher, Pablo Fosalba, Josh Frieman, Robert Gruendl, Gaston Gutierrez, Samuel Hinton, Klaus Honscheid, David James, Kyler Kuehn, Ofer Lahav, Marcos Lima, Marcio Maia, Jennifer Marshall, Felipe Menanteau, Ramon Miquel, Francisco Paz-Chinchon, Andres Plazas Malagon, Kathy Romer, Aaron Roodman, Eusebio Sanchez, Vic Scarpine, Santiago Serrano, Ignacio Sevilla, Mathew Smith, Marcelle Soares-Santos, Eric Suchyta, Molly Swanson, Gregory Tarle, Diehl H. Thomas, Jochen Weller
Summary: This study demonstrates the importance of incorporating baryonic physics in interpreting large-scale structure measurements, leading to a 20% improvement in constraining cosmological parameters. By combining DES Y1 data with external information, constraints on baryon feedback strength and cosmology have been significantly refined, with implications for understanding the evolution of the universe.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Konstantinos Tanidis, Stefano Camera
Summary: In this paper, the multitracer technique is applied to harmonic-space power spectra with a likelihood-based approach, surpassing the usual Fisher matrix formalism. A modified version of the CosmoSIS code, including all previously presented add-ons, is released for cosmological parameter estimation. The improvement in parameter constraints enabled by the use of multiple tracers is demonstrated, achieving a 44% enhancement on the 2 sigma upper bound on the sum of neutrino masses.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Chun-Hao To, Elisabeth Krause, Eduardo Rozo, Hao-Yi Wu, Daniel Gruen, Joseph DeRose, Eli Rykoff, Risa H. Wechsler, Matthew Becker, Matteo Costanzi, Tim Eifler, Maria Elidaiana da Silva Pereira, Nickolas Kokron
Summary: In this study, a method combining cluster abundances and large-scale two-point correlations for cosmological analysis is proposed and validated on simulated data resembling the DES-Y1 survey. The results show statistically consistent parameter inferences and robustness against systematic effects. This study presents the first end-to-end validation of a cluster abundance cosmological analysis on galaxy catalogue level simulations.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Nicolas Chartier, Benjamin Wandelt, Yashar Akrami, Francisco Villaescusa-Navarro
Summary: This study introduces a general method called CARPool, which utilizes the correlation between simulations and surrogates to compute fast, reduced-variance statistics of large-scale structure observables. Numerical experiments demonstrate significant improvements in both the non-linear and linear regimes using CARPool.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Shang Li, Ji-Ping Dai, Xiu-Hui Tan, Yang-Jie Yan, Jun-Qing Xia
Summary: The bounce scenario in cosmology is a research topic that addresses the singularity problem and trans-Planckian issue left by the standard inflationary theory. In this work, the authors extend the analysis to large-scale structure measurements and find that the model parameters can be constrained effectively. The constraints become even stronger when combined with the measurements from the Planck satellite.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Astronomy & Astrophysics
Radoslaw Wojtak, Jens Hjorth
Summary: This study reanalyzes observations of Type Ia supernovae (SNe) and Cepheids used in the determination of the Hubble constant, and finds evidence of a difference in color correction between the calibration sample and the cosmological sample. This finding suggests that the local measurement of the Hubble constant is dependent on the choice of reference color for SN standardization, potentially offering a solution to the Hubble tension.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Astronomy & Astrophysics
Richard Watkins, Trey Allen, Collin James Bradford, Albert Ramon Jr, Alexandra Walker, Hume A. Feldman, Rachel Cionitti, Yara Al-Shorman, Ehsan Kourkchi, R. Brent Tully
Summary: We estimated the bulk flow in a volume of radii 150-200 h(-1) Mpc using the minimum variance method with data from the CosmicFlows-4 (CF4) catalogue. The addition of new data in the CF4 increased the estimate of the bulk flow in a sphere of radius 150 h(-1) Mpc compared to the CosmicFlows-3 (CF3). The bulk flow in CF4 has a low probability of occurring in the standard cosmological model, and on scales of 200 h(-1) Mpc, it is in even greater tension with the standard model.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Physics, Particles & Fields
Kamal Bora, R. F. L. Holanda, Shantanu Desai
Summary: A new method is proposed to explore a possible departure from the standard time evolution law for dark matter density, using a deformed evolution law and constraining epsilon. The dataset used includes Strong Gravitational Lensing data and galaxy cluster X-ray gas mass fraction measurements, showing that the current dataset cannot rule out interacting models of dark matter and dark energy with high confidence level.
EUROPEAN PHYSICAL JOURNAL C
(2021)
Article
Astronomy & Astrophysics
Cora Uhlemann, Oliver Friedrich, Francisco Villaescusa-Navarro, Arka Banerjee, Sandrine Codis
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2020)
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
T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, Peter Melchior, Shirley Ho, Laurence Perreault-Levasseur, David N. Spergel
Summary: A deep convolutional neural network (CNN) with UNet architecture is used to effectively separate cosmic neutral hydrogen (HI) signals and foreground contaminants in 21 cm intensity mapping observations. The cleaned maps recover cosmological clustering amplitude and phase accurately, showing significant improvement compared to standard Principal Component Analysis (PCA) methods.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
ChangHoon Hahn, Francisco Villaescusa-Navarro
Summary: This study examines the constraining power of the redshift-space galaxy bispectrum monopole, B-0(g), on cosmological parameters and the information content down to nonlinear scales. The results show that B-0(g) significantly improves the constraints on cosmological parameters, especially for M-nu.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Digvijay Wadekar, Francisco Villaescusa-Navarro, Shirley Ho, Laurence Perreault-Levasseur
Summary: Upcoming 21 cm surveys will map the spatial distribution of cosmic neutral hydrogen, and accurate theoretical predictions are essential. Using convolutional neural networks to find the mapping between matter distribution and Hi yields better results than traditional theoretical models, allowing the generation of 21 cm mocks over large cosmological volumes similar to hydrodynamic simulations.
ASTROPHYSICAL JOURNAL
(2021)
Article
Astronomy & Astrophysics
Francisco Villaescusa-Navarro, Daniel Angles-Alcazar, Shy Genel, David N. Spergel, Rachel S. Somerville, Romeel Dave, Annalisa Pillepich, Lars Hernquist, Dylan Nelson, Paul Torrey, Desika Narayanan, Yin Li, Oliver Philcox, Valentina La Torre, Ana Maria Delgado, Shirley Ho, Sultan Hassan, Blakesley Burkhart, Digvijay Wadekar, Nicholas Battaglia, Gabriella Contardo, Greg L. Bryan
Summary: The CAMELS project consists of 4233 cosmological simulations designed to provide theory predictions for different observables and train machine-learning algorithms. It includes various cosmological and astrophysical models, tracking the evolution of over 100 billion particles and fluid elements, and providing valuable data for studying matter power spectrum and cosmic star formation rate density, among others.
ASTROPHYSICAL JOURNAL
(2021)
Article
Astronomy & Astrophysics
Adrian E. Bayer, Francisco Villaescusa-Navarro, Elena Massara, Jia Liu, David N. Spergel, Licia Verde, Benjamin D. Wandelt, Matteo Viel, Shirley Ho
Summary: By combining different statistical methods and utilizing the Quijote N-body simulations, tighter constraints on cosmological parameters can be obtained. The combination of the nonlinear matter power spectrum, the halo mass function, and the void size function effectively breaks degeneracies and enhances the information content on parameters like neutrino mass.
ASTROPHYSICAL JOURNAL
(2021)
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)
Article
Astronomy & Astrophysics
Yun Wang, Zhongxu Zhai, Anahita Alavi, Elena Massara, Alice Pisani, Andrew Benson, Christopher M. Hirata, Lado Samushia, David H. Weinberg, James Colbert, Olivier Dore, Tim Eifler, Chen Heinrich, Shirley Ho, Elisabeth Krause, Nikhil Padmanabhan, David Spergel, Harry Teplitz
Summary: This article introduces the High Latitude Spectroscopic Survey (HLSS) conducted by the Nancy Grace Roman Space Telescope and its implications for the study of large-scale structures and dark energy. The article presents a reference HLSS, including the scope of the survey, redshift measurements, and performance predictions, and investigates possible design deviations. This information will be valuable for decision-making regarding the final scope and design of the Roman HLSS.
ASTROPHYSICAL JOURNAL
(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
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)