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
Alex Smith, Shaun Cole, Cameron Grove, Peder Norberg, Pauline Zarrouk
Summary: Realistic light-cone mocks are crucial in clustering analyses of large galaxy surveys. By joining together snapshots in spherical shells, approximate light-cones can be created. We evaluated the two-point clustering measurements of central galaxies in approximate light-cones constructed from the Millennium-XXL simulation with different numbers of snapshots. The real-space correlation function's monopole and quadrupole are significantly enhanced at small scales due to duplications of galaxies at the boundaries between snapshots in the light-cone.
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
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.
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(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
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.
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(2023)
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
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
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
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
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.
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(2023)
Article
Astronomy & Astrophysics
Sergio Contreras, Raul E. Angulo, Jonas Chaves-Montero, Simon D. M. White, Giovanni Arico
Summary: This paper demonstrates that the model SHAMe, an extension of the Sub-Halo Abundance Matching (SHAM) model, can accurately and consistently model the multipoles of the redshift-space galaxy correlation function and galaxy-galaxy lensing. By introducing a baryonification scheme, the validity range of SHAMe is extended. The model achieves a high level of precision with just five free parameters and can provide a more powerful and robust tool for analyzing next-generation large-scale surveys.
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(2023)
Article
Astronomy & Astrophysics
Cristhian Garcia, Camilo Santa, Antonio Enea Romano
Summary: This article introduces the use of convolutional neural networks to solve the inversion problem of the large-scale structure of the Universe. By observing the luminosity distance of Supernovae Ia, the researchers can reconstruct the large-scale structure. The results show that the velocity field inversion is more accurate than the density field.
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(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.
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(2021)
Article
Astronomy & Astrophysics
Monica Hernandez-Sanchez, Francisco-Shu Kitaura, Metin Ata, Claudio Dalla Vecchia
Summary: This study investigates higher order symplectic integration strategies within Bayesian cosmic density field reconstruction methods, focusing on the fourth-order discretization of Hamiltonian equations of motion. The results show that transitioning from the usual second to fourth order in the leap-frog scheme shortens the burn-in phase and increases the number of independent samples obtained, while reducing the number of gradient computations.
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(2021)
Article
Astronomy & Astrophysics
Francisco-Shu Kitaura, Metin Ata, Sergio A. Rodriguez-Torres, Monica Hernandez-Sanchez, A. Balaguera-Antolinez, Gustavo Yepes
Summary: The COSMIC BIRTH algorithm is able to reconstruct the cosmic density fields from galaxy surveys on the light-cone by modeling the displacement and peculiar velocity fields at different redshift snapshots. It efficiently maps galaxies to a single high redshift, providing tracers and survey completeness in Lagrangian space, and can obtain the primordial density field in a numerical way using Lagrangian tracers. The method includes survey mask, non-linear and non-local bias, and redshift-space distortions with a significantly higher efficiency compared to previous methods.
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(2021)
Article
Astronomy & Astrophysics
Alexander Knebe, Daniel Lopez-Cano, Santiago Avila, Ginevra Favole, Adam R. H. Stevens, Violeta Gonzalez-Perez, Guillermo Reyes-Peraza, Gustavo Yepes, Chia-Hsun Chuang, Francisco-Shu Kitaura
Summary: New surveys, such as ESA's Euclid mission, aim to map the large-scale structure of the Universe with unprecedented precision. This study develops theoretically modelled galaxy catalogues to estimate the performance of these surveys. By adjusting flux thresholds and applying dust-attenuation models, additional emission-line galaxy catalogues are created. The research shows a scale-independent bias in galaxy clustering, which increases linearly with redshift.
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(2022)
Article
Astronomy & Astrophysics
Cheng Zhao, Andrei Variu, Mengfan He, Daniel Forero-Sanchez, Amelie Tamone, Chia-Hsun Chuang, Francisco-Shu Kitaura, Charling Tao, Jiaxi Yu, Jean-Paul Kneib, Will J. Percival, Huanyuan Shan, Gong-Bo Zhao, Etienne Burtin, Kyle S. Dawson, Graziano Rossi, Donald P. Schneider, Axel de la Macorra
Summary: In this study, cosmic void catalogues were constructed using the DIVE void finder on SDSS BOSS DR12 and eBOSS DR16 galaxy samples with BAO reconstruction. A joint BAO analysis was performed using different types of galaxies and their corresponding voids, and the BAO peak was observed. By combining the clustering of galaxies and voids, improvements in the uncertainties of BAO measurements were achieved, leading to constraints on distance values.
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(2022)
Article
Astronomy & Astrophysics
Francesco Sinigaglia, Francisco-Shu Kitaura, Andres Balaguera-Antolinez, Ikkoh Shimizu, Kentaro Nagamine, Manuel Sanchez-Benavente, Metin Ata
Summary: This work presents a new supervised machine-learning method, hydro-bam, which learns from a reference hydrodynamic simulation to reproduce the three-dimensional Ly alpha forest field in real and redshift space. The method achieves high accuracy in the statistics of the reconstructed fields and significantly reduces computing time.
ASTROPHYSICAL JOURNAL
(2022)
Article
Astronomy & Astrophysics
Khee-Gan Lee, Metin Ata, Ilya S. Khrykin, Yuxin Huang, J. Xavier Prochaska, Jeff Cooke, Jielai Zhang, Adam Batten
Summary: This paper shows that incorporating wide-field spectroscopic galaxy survey data in the foreground of localized FRBs can significantly improve constraints on the partition of diffuse cosmic baryons. By using mock dispersion measures and realistic light-cone galaxy catalogs, the authors perform Bayesian density reconstructions to estimate the foreground matter density field and demonstrate that these data can reduce uncertainties in foreground structures and increase the sensitivity of localized FRBs towards parameters of interest.
ASTROPHYSICAL JOURNAL
(2022)
Article
Astronomy & Astrophysics
F-S Kitaura, A. Balaguera-Antolinez, F. Sinigaglia, M. Pellejero-Ibanez
Summary: This study investigates the connection between the cosmic web and the distribution of halos through the gravitational potential at the field level. By using the invariants of the tidal field and the velocity shear tensor as generating functions, the researchers were able to accurately reproduce the halo number counts of a reference catalogue in the non-linear regime. The study also found evidence for non-local bias in the three-point statistics, highlighting the importance of a detailed description of tidal anisotropic clustering on large scales.
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(2022)
Article
Astronomy & Astrophysics
Daniel Forero-Sanchez, Cheng Zhao, Charling Tao, Chia-Hsun Chuang, Francisco-Shu Kitaura, Andrei Variu, Amelie Tamone, Jean-Paul Kneib
Summary: This study analyzes the response of void clustering to selection effects. The results show that void selection based on a constant radius cut can produce robust measurements under moderate incompleteness, while an accurate estimation of the void distribution is necessary for unbiased clustering measurements under severe incompleteness. Moreover, a new void selection criterion based on the observed tracer density can maximize the significance of BAO peaks and prevent the exclusion features from contaminating the BAO signal. Finally, large simulations including light-cone evolution verify that both local and constant void sample definitions yield unbiased and consistent BAO scale measurements.
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(2022)
Article
Astronomy & Astrophysics
Metin Ata, Khee-Gan Lee, Claudio Dalla Vecchia, Francisco-Shu Kitaura, Olga Cucciati, Brian C. Lemaux, Daichi Kashino, Thomas Mueller
Summary: Constrained cosmological simulations, based on spectroscopic surveys, allow us to study the evolution of observed cosmic structures. In this study, we used constrained simulations to 'fast-forward' to the present day and investigate the evolution of protoclusters. We confirmed the evolution of several protoclusters into massive galaxy clusters and predicted the collapse of the Hyperion structure into a giant filamentary supercluster spanning 100 Mpc. We also discovered previously unknown protoclusters with lower masses than typically detectable.
Article
Astronomy & Astrophysics
Benjamin Horowitz, Khee-Gan Lee, Metin Ata, Thomas Mueller, Alex Krolewski, J. Xavier Prochaska, Joseph F. F. Hennawi, Martin White, David Schlegel, R. Michael Rich, Peter E. Nugent, Nao Suzuki, Daichi Kashino, Anton M. M. Koekemoer, Brian C. C. Lemaux
Summary: This study presents the second data release of the COSMOS Ly alpha Mapping And Tomography Observations Survey, which uses Lα absorption to study neutral hydrogen in the intergalactic medium. The reconstructed 3D maps reveal the detailed cosmic web consisting of voids, sheets, filaments, and nodes. The data is publicly available for further exploration and qualitative comparisons.
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
(2022)
Article
Astronomy & Astrophysics
Chenze Dong, Khee-Gan Lee, Metin Ata, Benjamin Horowitz, Rieko Momose
Summary: We report the discovery of a galaxy protocluster (COSTCO-I) at z=2.30 in the COSMOS field, where the Ly alpha forest does not exhibit significant absorption, contrary to the expected fluctuating Gunn-Peterson approximation (FGPA). By comparing with mock Ly alpha forest maps, we find that the observed Ly alpha forest in COSTCO-I is consistently more transparent, suggesting that the gas in this protocluster is being heated above the expectations of the FGPA. This has implications for the growth of the intracluster medium (ICM) and AGN feedback mechanisms.
ASTROPHYSICAL JOURNAL LETTERS
(2023)
Article
Astronomy & Astrophysics
Metin Ata, Francisco-Shu Kitaura, Khee-Gan Lee, Brian C. Lemaux, Daichi Kashino, Olga Cucciati, Monica Hernandez-Sanchez, Oliver Le Fevre
Summary: This work presents the first comprehensive study of structure formation at the peak epoch of cosmic star formation over 1.4 < z < 3.6 in the COSMOS field. By combining data from five different spectroscopic redshift surveys, unbiased primordial density fields can be inferred. The reconstructions reveal a holistic view on the known proto-clusters in the COSMOS field and the growth of the cosmic web towards lower redshifts.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)