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
Jiamin Hou, Zachary Slepian, Robert N. Cahn
Summary: The tetrahedron-shaped correlation function (4PCF) provides evidence for violation of parity symmetry in the clustering of galaxies. This effect, which cannot be explained by gravitational evolution alone, suggests a cosmological origin during the epoch of inflation. The detection of this odd-parity 4PCF opens up new possibilities for exploring new forces in the large-scale structure of the universe.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
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
Astronomy & Astrophysics
Punyakoti Ganeshaiah Veena, Robert Lilow, Adi Nusser
Summary: We evaluate a neural network method for reconstructing cosmological density and velocity fields from incomplete and discrete galaxy distributions. The auto-encoder architecture successfully captures non-linear features and exhibits weaker power suppression on small scales compared to the traditional Wiener filter.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Astronomy & Astrophysics
M. J. M. Marcha, I. W. A. Browne
Summary: Evidence for large-scale clustering is found among Fermi-selected BL Lac objects, but not among Fermi-selected FSRQs. High-latitude Fermi sources as a whole show a significant clustering signal on scales up to 30 degrees, while this signal may be washed out in FSRQs.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Rory Smith, Ho Seong Hwang, Katarina Kraljic, Paula Calderon-Castillo, Thomas M. Jackson, Anna Pasquali, Jihye Shin, Jongwan Ko, Jaewon Yoo, Hyowon Kim, Jae-Woo Kim
Summary: This study provides strong evidence for the growth of clusters and their Brightest Cluster Galaxies (BCGs) by preferential feeding along the direction of the filaments in which they are embedded, through analyzing the alignment signal between the BCGs, cluster members, and large-scale structures.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Astronomy & Astrophysics
Boryana Hadzhiyska, Sonya Liu, Rachel S. Somerville, Austen Gabrielpillai, Sownak Bose, Daniel Eisenstein, Lars Hernquist
Summary: In this study, two galaxy models (Illustris'ING and SC-SAM) were compared for their predictions on large scale structure observables for stellar mass selected samples at z=0. The models show good agreement in two-point clustering and galaxy assembly bias, but differences in areas such as halo gas content correlation with environment and occupancy predictions for low-mass haloes. Higher order statistics help accurately describe the galaxy distribution and differentiate between models showing similar behavior in two-point statistics. SAMs are suggested as a promising method for generating mock catalogues for future cosmological surveys.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Sownak Bose, Boryana Hadzhiyska, Monica Barrera, Ana Maria Delgado, Fulvio Ferlito, Carlos Frenk, Cesar Hernandez-Aguayo, Lars Hernquist, Rahul Kannan, Ruediger Pakmor, Volker Springel, Simon D. M. White
Summary: Modern redshift surveys are mapping the distribution of galaxies on enormous distance scales. However, current hydrodynamical simulations cannot reach the volumes needed for upcoming surveys. A new, large volume hydrodynamical simulation called MillenniumTNG (MTNG) is able to accurately reproduce the observed clustering of galaxies, but there are discrepancies when separated by color. This is due to the quenching of satellite galaxies in the model.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Astronomy & Astrophysics
Aaron Wilkinson, Omar Almaini, Vivienne Wild, David Maltby, William G. Hartley, Chris Simpson, Kate Rowlands
Summary: The study reveals that low-mass, low-redshift post-starburst (PSB) galaxies tend to reside in high-mass dark matter haloes, while high-mass PSB galaxies are clustered in higher mass haloes with increasing look-back time, indicating strong redshift-dependent halo downsizing. These findings are consistent with previous results, suggesting two main channels responsible for the rapid quenching of galaxies.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Faizan G. Mohammad, Will J. Percival
Summary: We present correction terms that allow unbiased estimates of the data covariance matrix of the two-point correlation function to be recovered using delete-one Jackknife and Bootstrap methods. We demonstrate the accuracy and precision of this new method using a large set of QUIJOTE simulations and show that the corrected resampling techniques recover the correct amplitude and structure of the data covariance matrix.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Astronomy & Astrophysics
Mohamed Yousry Elkhashab, Cristiano Porciani, Daniele Bertacca
Summary: The study focuses on the impact of radial redshift-space distortions on the monopole moment of the galaxy power spectrum, demonstrating excess power due to peculiar velocities and a damped oscillatory pattern caused by the kinematic dipole overdensity. It also discusses the weak-lensing magnification effect and potential implications for determining cosmological parameters and properties of the galaxy population.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Astronomy & Astrophysics
Oliver H. E. Philcox
Summary: The estimators presented in this study efficiently compute small-scale power spectrum and bispectrum in cosmological simulations, without being affected by aliasing or shot-noise, and allowing computation to arbitrarily large wavenumbers.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Oliver H. E. Philcox
Summary: This study introduces efficient methods for calculating small-scale power spectrum and bispectrum in cosmological simulations, applicable to various tracers and reducing dependence on large random particle catalogues.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
K. Kraljic, C. Laigle, C. Pichon, S. Peirani, S. Codis, J. Shim, C. Cadiou, D. Pogosyan, S. Arnouts, M. Pieri, V Irsic, S. S. Morrison, J. Onorbe, I Perez-Rafols, G. Dalton
Summary: The upcoming WEAVE-QSO survey aims to reconstruct the 3D density field by targeting a high density of quasars over a large area through Lyman-alpha tomography. The fidelity of the reconstruction is assessed through measuring critical points in the cosmic web, and potential applications for dark energy studies are highlighted.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Astronomy & Astrophysics
Joop Schaye, Roi Kugel, Matthieu Schaller, John C. Helly, Joey Braspenning, Willem Elbers, Ian G. Mccarthy, Marcel P. van Daalen, Bert Vandenbroucke, Carlos S. Frenk, Juliana Kwan, Jaime Salcido, Yannick M. Bahe, Josh Borrow, Evgenii Chaikin, Oliver Hahn, Filip Husko, Adrian Jenkins, Cedric G. Lacey, Folkert S. J. Nobels
Summary: We introduce the FLAMINGO suite of hydrodynamical simulations for cosmology and galaxy cluster physics developed by the Virgo Consortium. The simulations are calibrated using machine learning based on the observed low-redshift galaxy stellar mass function and cluster gas fractions. The suite includes simulations of different resolutions, with the largest simulation tracking 3 x 10^11 particles. We investigate numerical convergence and compare the simulations with various observations, showing good agreement. Comparing hydrodynamical and 'dark-matter-only' simulations, we confirm the impact of baryonic effects on the halo mass function and matter power spectrum.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Astronomy & Astrophysics
M. Celeste Artale, Susana E. Pedrosa, James W. Trayford, Tom Theuns, Daniel J. Farrow, Peder Norberg, Idit Zehavi, Richard G. Bower, Matthieu Schaller
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2017)
Article
Astronomy & Astrophysics
Alex Smith, Shaun Cole, Carlton Baugh, Zheng Zheng, Raul Angulo, Peder Norberg, Idit Zehavi
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2017)
Article
Astronomy & Astrophysics
M. L. P. Gunawardhana, P. Norberg, I. Zehavi, D. J. Farrow, J. Loveday, A. M. Hopkins, L. J. M. Davies, L. Wang, M. Alpaslan, J. Bland-Hawthorn, S. Brough, B. W. Holwerda, M. S. Owers, A. H. Wright
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2018)
Article
Physics, Multidisciplinary
Stefano Anselmi, Glenn D. Starkman, Pier-Stefano Corasaniti, Ravi K. Sheth, Idit Zehavi
PHYSICAL REVIEW LETTERS
(2018)
Article
Astronomy & Astrophysics
M. Celeste Artale, Idit Zehavi, Sergio Contreras, Peder Norberg
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2018)
Article
Astronomy & Astrophysics
Haojie Xu, Zheng Zheng, Hong Guo, Ying Zu, Idit Zehavi, David H. Weinberg
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2018)
Article
Astronomy & Astrophysics
S. Contreras, I. Zehavi, N. Padilla, C. M. Baugh, E. Jimenez, I. Lacerna
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2019)
Article
Astronomy & Astrophysics
Xiaoju Xu, Saurabh Kumar, Idit Zehavi, Sergio Contreras
Summary: The study shows that using machine learning to predict halo occupations can help recover galaxy clustering and assembly bias more accurately. Internal halo properties are most important for predicting central galaxies, while the environment plays a critical role for satellite galaxies.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Farnik Nikakhtar, Ravi K. Sheth, Idit Zehavi
Summary: This paper examines the relationship between the evolved two-point correlation function of biased tracers and the initial correlation function on large scales, proposing a fast and accurate reconstruction algorithm. It demonstrates how this method can estimate the width of the smearing kernel from the same dataset and provide error estimates on the value of the distance scale, regardless of specific cosmological models. The study also shows the potential for further speed-ups in cosmological analyses by using constraints on the smearing scale from other datasets during the reconstruction process.
Article
Astronomy & Astrophysics
Farnik Nikakhtar, Ravi K. Sheth, Idit Zehavi
Summary: Fitting half-integer generalized Laguerre functions to evolved dark matter and halo correlation functions simplifies the reconstruction of their initial shapes and the linear point feature in redshift-space provides a way to quantify accuracy. The Laguerre reconstruction method provides comparable accuracy and precision to other methods, with the linear point simplifying the marginalization process and providing more realistic estimates of the precision of distance scale estimates.
Article
Astronomy & Astrophysics
Farnik Nikakhtar, Ravi K. Sheth, Idit Zehavi
Summary: The baryon acoustic oscillation feature can serve as a standard cosmological ruler, and an algorithm has been developed to improve the estimation of its scale. This algorithm allows for simple and fast reconstruction of the BAO feature shape and subpercent determination of the linear point in the correlation function.
Article
Astronomy & Astrophysics
Marcio O'Dwyer, Stefano Anselmi, Glenn D. Starkman, Pier-Stefano Corasaniti, Ravi K. Sheth, Idit Zehavi
Article
Astronomy & Astrophysics
Idit Zehavi, Stephen E. Kerby, Sergio Contreras, Esteban Jimenez, Nelson Padilla, Carlton M. Baugh
ASTROPHYSICAL JOURNAL
(2019)
Article
Astronomy & Astrophysics
Stefano Anselmi, Pier-Stefano Corasaniti, Glenn D. Starkman, Ravi K. Sheth, Idit Zehavi
Article
Astronomy & Astrophysics
Idit Zehavi, Sergio Contreras, Nelson Padilla, Nicholas J. Smith, Carlton M. Baugh, Peder Norberg
ASTROPHYSICAL JOURNAL
(2018)