Article
Astronomy & Astrophysics
Ryu Makiya, Tomomi Sunayama
Summary: This study examines the impact of fiber assignment on galaxy clustering and its cross correlation with weak lensing fields. The results show that fiber assignment not only suppresses the amplitude of the galaxy power spectrum, but also introduces artificial correlation of structure at different redshifts, leading to a decrease in the amplitude of the galaxy-lensing cross power spectrum. However, by adjusting the observed galaxy probabilities, the effects of fiber assignment on the cross power spectrum can be mitigated to an accuracy of approximately 1%, while the galaxy power spectrum cannot be fully corrected.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Ryu Makiya, Tomomi Sunayama
Summary: This study examines the impact of fiber assignment on galaxy clustering measurements and its cross correlation with weak lensing fields. It is found that fiber assignment not only suppresses the amplitude of the galaxy power spectrum, but also introduces artificial correlation of structures at different redshifts, thereby suppressing the amplitude of the galaxy-lensing cross power spectrum. The effects of fiber assignment on the cross power spectrum can be mitigated by assigning observed galaxies with a probability to be observed, while the correction for the galaxy power spectrum remains challenging.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Alex Krolewski, Simone Ferraro, Martin White
Summary: Recent lensing measurements at low redshifts suggest that the amplitude of lensing in the universe may be lower than predicted by the Lambda CDM model based on Planck CMB data. By analyzing the auto-and cross-correlation signal of unWISE galaxies and Planck CMB lensing maps, cosmological parameters at low redshifts have been inferred, showing tensions with the CMB predictions. The combination of blue, green, and red unWISE samples gives a value of S-8 = 0.784 +/- 0.015, consistent with other low-redshift lensing measurements and in tension with the CMB predictions from Planck.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Boryana Hadzhiyska, Carlos Garcia-Garcia, David Alonso, Andrina Nicola, Anze Slosar
Summary: This study reanalyzes cosmic shear and galaxy clustering data from the first year of the Dark Energy Survey, using a Hybrid Effective Field Theory (HEFT) approach to model the galaxy-matter relation on weakly non-linear scales. The results show an improvement in cosmological constraints by extending the galaxy clustering scale range and using the HEFT model to explain the data up to certain wavenumbers. Constraints on parameters such as (S-8, Omega(m)) and Hubble parameter are derived, but the results are investigative and subject to caveats discussed in the text.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Sambit K. Giri, Aurel Schneider
Summary: This paper introduces an emulator for baryonic suppression of the matter power spectrum based on a baryonification model with seven free parameters. The emulator can recover the power spectra of hydro-dynamical simulations with sub-percent precision and establish a connection between baryonic suppression, gas, and stellar fractions in haloes. Predictions of deviation from a dark-matter-only power spectrum using measured X-ray gas fractions lead to a constraint on suppression levels at various wave numbers, with a maximum of 20-28% at around k ≈ 7 h/Mpc (68% confidence level).
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Rebeca Martinez-Carrillo, Juan Carlos Hidalgo, Karim A. Malik, Alkistis Pourtsidou
Summary: The researchers compute the real space galaxy power spectrum, including the effects of General Relativity and primordial non-Gaussianity through parameters f(NL) and g(NL), and assess the detectability of these contributions in Stage-IV surveys. They also found that specific values of the bias parameter may erase the primordial and relativistic contributions to the configuration space power spectrum.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Carlos Garcia-Garcia, David Alonso, Pedro G. Ferreira, Boryana Hadzhiyska, Andrina Nicola, Carles Sanchez, Anze Slosar
Summary: This paper introduces a method to quantify and propagate the uncertainties on the source redshift distribution in two different surveys sharing the same calibrating sample. The results show that the uncertainties on the redshift distributions do not significantly affect the final constraints on cosmological parameters.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2023)
Article
Astronomy & Astrophysics
Philipp Denzel, Jonathan P. Coles, Prasenjit Saha, Liliya L. R. Williams
Summary: This study presents a determination of the Hubble constant based on the analysis of multiple lensing systems, which is consistent with previous measurements but with lower precision. The constraints from lensing are not strong enough to resolve the 'Hubble tension' in cosmology.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Maresuke Shiraishi, Teppei Okumura, Kazuyuki Akitsu
Summary: The study considers the benefits of measuring cosmic statistical anisotropy using redshift-space correlators without adopting the plane-parallel (PP) approximation. By decomposing correlators using the general tripolar spherical harmonic (TripoSH) basis, the study achieves superior detectability of anisotropic signatures.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Florian Beutler, Patrick McDonald
Summary: Recent developments in galaxy redshift surveys have led to the proposal of a matrix-based analysis framework for galaxy power spectrum multipoles, providing deconvolved power spectrum results for several datasets. The use of deconvolved power spectrum multipoles allows for a data analysis independent of survey-specific aspects, such as the window function. This alternative analysis method has been shown to yield similar results to standard analysis in the case of the BOSS dataset, with various analysis components and a Python toolbox provided for convenience.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Andrei Lazanu
Summary: Machine learning techniques accurately extract cosmological parameters Omega(m) and sigma(8) from N-body simulations, and also find these parameters from the non-linear matter power spectrum using random forest regressors and deep neural networks. The power spectrum provides competitive results in terms of accuracy compared to using simulations, and the scalar spectral index ns can also be estimated from the power spectrum with lower precision.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Zvonimir Vlah, Nora Elisa Chisari, Fabian Schmidt
Summary: Intrinsic galaxy alignments play a significant role in the statistics of galaxy shapes. A formalism using spherical tensors to project galaxy shapes onto the flat sky and calculate two-point functions at next-to-leading order, as well as leading-order three-point functions, has been presented. The results are provided in a numerical implementation-friendly format.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Goran Jelic-Cizmek, Francesca Lepori, Camille Bonvin, Ruth Durrer
Summary: The study emphasizes the importance of including gravitational lensing in spectroscopic surveys for accurate galaxy number counts. Neglecting lensing can lead to significant shifts in cosmological parameters. The analysis also suggests potential improvements in spectroscopic survey analysis by incorporating cross-correlations between different redshift bins and utilizing complementary information from photometric surveys.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Dominik Zurcher, Janis Fluri, Raphael Sgier, Tomasz Kacprzak, Alexandre Refregier
Summary: The study compared the constraining power of three map-based non-Gaussian statistics with the angular power spectrum in the Omega(m)-sigma(8) plane, finding that non-Gaussian statistics provide tighter constraints. A combination of non-Gaussian statistics and the angular power spectrum increased the constraining power and reduced the error on S8.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2021)
Article
Astronomy & Astrophysics
Byeonghee Yu, Uros Seljak, Yin Li, Sukhdeep Singh
Summary: We present growth of structure constraints from the cosmological analysis of the power spectrum multipoles of SDSS-III BOSS DR12 galaxies. We use a galaxy power spectrum model that decomposes galaxies into halo mass bins and combines perturbation theory and halo model to model halo clustering. By constraining a single parameter f sigma 8 to Planck+BAO prior, we reduce the effects of prior volume and mismodeling. Our analysis yields tight constraints on f sigma 8 and discusses the sensitivity of cosmological parameter estimation to various factors.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2023)
Article
Astronomy & Astrophysics
Ellie Kitanidis, Martin White
Summary: Cross-correlations between CMB lensing and large-scale structure tracers offer a unique method to study dark matter growth, break degeneracies in cosmology, and test modified gravity theories. By detecting a significant cross-correlation between DESI-like luminous red galaxies and CMB lensing maps, corrections for magnification bias and galaxy bias were determined, showing excellent agreement with survey expectations. This analysis provides valuable insights into the growth of dark matter and the evolution of large-scale structures.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Shi-Fan Chen, Zvonimir Vlah, Martin White
Summary: The Lyα forest is a valuable tool for mapping large-scale structures at high redshifts and constraining the distance-redshift relation. By expanding the large-scale correlations in the Lyα forest as cumulants of the optical depth field and relating it to the density field through bias expansion, a direct connection between observable and matter fluctuation statistics is established. Small-scale physics influences predictions, velocity bias origins, and renormalization of large-scale bias coefficients, with both isotropic and anisotropic contributions receiving input from small-scale physics.
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
Nickolas Kokron, Joseph DeRose, Shi-Fan Chen, Martin White, Risa H. Wechsler
Summary: The researchers developed a model that combines dark matter dynamics with analytic bias expansion for analyzing the two-point statistics of biased tracers. They demonstrated the accuracy and applicability of their emulation procedure, showing its ability to describe complex tracer samples and fit clustering and lensing statistics effectively. The emulator is shown to be a promising tool for cosmological parameter inference and analysis of data from galaxy surveys.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Martin White, Rongpu Zhou, Joseph DeRose, Simone Ferraro, Shi-Fan Chen, Nickolas Kokron, Stephen Bailey, David Brooks, Juan Garcia-Bellido, Julien Guy, Klaus Honscheid, Robert Kehoe, Anthony Kremin, Michael Levi, Nathalie Palanque-Delabrouille, Claire Poppett, David Schlegel, Gregory Tarle
Summary: Using luminous red galaxies selected from imaging surveys for targeting by the Dark Energy Spectroscopic Instrument (DESI) in combination with CMB lensing maps from the Planck collaboration, researchers probed the amplitude of large-scale structure over 0.4 <= z <= 1. Their findings suggest a slower growth of structure at low redshift than model predictions, with only modest significance.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
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
Joseph DeRose, Shi-Fan Chen, Martin White, Nickolas Kokron
Summary: We use neural networks to accelerate the calculation of power spectra for galaxy clustering and weak gravitational lensing analysis. By constructing neural network-based surrogate models, we achieve high accuracy over a broad range of scales and a computation speed 1000 times faster than traditional methods. The release of these surrogate models will facilitate rapid iteration on analysis settings, which is essential for complex large-scale structure analyses.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Zhejie Ding, Chia-Hsun Chuang, Yu Yu, Lehman H. Garrison, Adrian E. Bayer, Yu Feng, Chirag Modi, Daniel J. Eisenstein, Martin White, Andrei Variu, Cheng Zhao, Hanyu Zhang, Jennifer Meneses Rizo, David Brooks, Kyle Dawson, Peter Doel, Enrique Gaztanaga, Robert Kehoe, Alex Krolewski, Martin Landriau, Nathalie Palanque-Delabrouille, Claire Poppett
Summary: DESI aims to map the Universe with a large and precise three-dimensional map, using high-resolution simulations like ABACUSSUMMIT for validation. The CARPool method is proposed for high statistical precision using accurate and approximate simulations, combined with fast quasi-N-body solvers.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Astronomy & Astrophysics
Nickolas Kokron, Joseph DeRose, Shi-Fan Chen, Martin White, Risa H. Wechsler
Summary: This study investigates the stochastic properties of typical red galaxy samples in a controlled numerical environment. Using halo occupation distribution (HOD) modelling and Second-order Hybrid Effective Field Theory (HEFT), the researchers directly measure and compare the stochastic power spectra of these samples, and apply the results in cosmological analyses.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
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
Nickolas Kokron, Shi-Fan Chen, Martin White, Joseph DeRose, Mark Maus
Summary: Simulations are essential for accurate modeling of observables in galaxy surveys, but can be expensive when a large dynamic range is required. This study presents a method that combines Lagrangian perturbation theory models with N-body simulations to reduce the effects of finite computational volume on the prediction of ensemble average properties in the simulations. By utilizing the correlation between Zel'dovich displacements and the final density field, the method achieves significant reductions in sample variance for power spectrum or correlation function estimation. It has the potential to extend simulations to larger scales and improve measurements of statistics in simulations that are limited to small volumes.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
Noah Sailer, Shi-Fan Chen, Martin White
Summary: The optical depth tau is an important parameter in cosmology, but it is least well determined. Future reionization experiments using symmetries-based bias expansion could provide tight constraints on tau. These experiments would require measuring anisotropies in the power spectrum on large scales. Ionization evolution models can help in constraining the timing and duration of reionization, and hence tau, through next-generation 21 cm surveys.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Astronomy & Astrophysics
A. Amon, N. C. Robertson, H. Miyatake, C. Heymans, M. White, J. DeRose, S. Yuan, R. H. Wechsler, T. N. Varga, S. Bocquet, A. Dvornik, S. More, A. J. Ross, H. Hoekstra, A. Alarcon, M. Asgari, J. Blazek, A. Campos, R. Chen, A. Choi, M. Crocce, H. T. Diehl, C. Doux, K. Eckert, J. Elvin-Poole, S. Everett, A. Ferte, M. Gatti, G. Giannini, D. Gruen, R. A. Gruendl, W. G. Hartley, K. Herner, H. Hildebrandt, S. Huang, E. M. Huff, B. Joachimi, S. Lee, N. MacCrann, J. Myles, A. Navarro-Alsina, T. Nishimichi, J. Prat, L. F. Secco, I Sevilla-Noarbe, E. Sheldon, T. Shin, T. Troster, M. A. Troxel, I Tutusaus, A. H. Wright, B. Yin, M. Aguena, S. Allam, J. Annis, D. Bacon, M. Bilicki, D. Brooks, D. L. Burke, A. Carnero Rosell, J. Carretero, F. J. Castander, R. Cawthon, M. Costanzi, L. N. da Costa, M. E. S. Pereira, J. de Jong, J. De Vicente, S. Desai, J. P. Dietrich, P. Doel, I Ferrero, J. Frieman, J. Garcia-Bellido, D. W. Gerdes, J. Gschwend, G. Gutierrez, S. R. Hinton, D. L. Hollowood, K. Honscheid, D. Huterer, A. Kannawadi, K. Kuehn, N. Kuropatkin, O. Lahav, M. Lima, M. A. G. Maia, J. L. Marshall, F. Menanteau, R. Miquel, J. J. Mohr, R. Morgan, J. Muir, F. Paz-Chinchon, A. Pieres, A. A. Plazas Malagon, A. Porredon, M. Rodriguez-Monroy, A. Roodman, E. Sanchez, S. Serrano, H. Shan, E. Suchyta, M. E. C. Swanson, G. Tarle, D. Thomas, C. To, Y. Zhang
Summary: We evaluate the consistency between lensing and clustering by combining measurements from Baryon Oscillation Spectroscopic Survey, DES Year 3, HSC Year 1, and KiDS-1000. Good agreement is found between these lensing data sets. Two fixed cosmologies, Planck and Lensing cosmology, are used to fit the data, and both provide an acceptable fit at large scales. However, uncertainties in baryon feedback and assembly bias hinder the full utilization of small-scale measurements.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
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
Joseph DeRose, Shi-Fan Chen, Nickolas Kokron, Martin White
Summary: Numerical simulations in cosmology require trade-offs between volume, resolution, and run-time, leading to sample variance in predictions of ensemble-average quantities. We extend the technique of Zel'dovich control variates to reduce the sample variance in measurements of 2-point statistics of biased tracers in redshift space. This allows improved predictions for the clustering of astronomical objects at very modest computational expense.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2023)