340 citations · 2.3k across the 53 of their papers we have counts for
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Sensitivity Analysis of Simulation-Based Inference for Galaxy Clustering
Chirag Modi, Shivam Pandey, Matthew Ho +3
Simulation-based inference (SBI) is a promising approach to leverage high fidelity cosmological simulations and extract information from the non-Gaussian, non-linear scales that ca…
Validation of semi-analytical, semi-empirical covariance matrices for two-point correlation function for Early DESI data
Michael Rashkovetskyi, Daniel J. Eisenstein, Jessica Nicole Aguilar +34
We present an extended validation of semi-analytical, semi-empirical covariance matrices for the two-point correlation function (2PCF) on simulated catalogs representative of Lumin…
Neutrino mass constraint from an Implicit Likelihood Analysis of BOSS voids
Leander Thiele, Elena Massara, Alice Pisani +4
Cosmic voids identified in the spatial distribution of galaxies provide complementary information to two-point statistics. In particular, constraints on the neutrino mass sum, $\su…
The DESI One-Percent Survey: Modelling the clustering and halo occupation of all four DESI tracers with Uchuu
F. Prada, J. Ereza, A. Smith +44
We present results from a set of mock lightcones for the DESI One-Percent Survey, created from the Uchuu simulation. This This 8 (Gpc/h)^3 N-body simulation comprises 2.1 trillion…
Survey Operations for the Dark Energy Spectroscopic Instrument
E. F. Schlafly, D. Kirkby, D. J. Schlegel +47
The Dark Energy Spectroscopic Instrument (DESI) survey is a spectroscopic survey of tens of millions of galaxies at covering 14,000 square degrees of the sky. In its…
Cosmology with one galaxy? -- The ASTRID model and robustness
Nicolas Echeverri, Francisco Villaescusa-Navarro, Chaitanya Chawak +7
Recent work has pointed out the potential existence of a tight relation between the cosmological parameter , at fixed , and the properties of individual galax…
Differentiable Stochastic Halo Occupation Distribution
Benjamin Horowitz, ChangHoon Hahn, Francois Lanusse +2
In this work, we demonstrate how differentiable stochastic sampling techniques developed in the context of deep Reinforcement Learning can be used to perform efficient parameter in…
: A Forward Modeling Approach To Analyzing Galaxy Clustering
ChangHoon Hahn, Michael Eickenberg, Shirley Ho +7
We present the first-ever cosmological constraints from a simulation-based inference (SBI) analysis of galaxy clustering from the new forward modeling…
: Mock Challenge for a Forward Modeling Approach to Galaxy Clustering
ChangHoon Hahn, Michael Eickenberg, Shirley Ho +7
Simulation-Based Inference of Galaxies () is a forward modeling framework for analyzing galaxy clustering using simulation-based inference. In this work…
Cosmological Information in Skew Spectra of Biased Tracers in Redshift Space
Jiamin Hou, Azadeh Moradinezhad Dizgah, ChangHoon Hahn +1
Extracting the non-Gaussian information encoded in the higher-order clustering statistics of the large-scale structure is key to fully realizing the potential of upcoming galaxy su…
DESI Bright Galaxy Survey: Final Target Selection, Design, and Validation
ChangHoon Hahn, Michael J. Wilson, Omar Ruiz-Macias +57
Over the next five years, the Dark Energy Spectroscopic Instrument (DESI) will use 10 spectrographs with 5000 fibers on the 4m Mayall Telescope at Kitt Peak National Observatory to…
The DESI Survey Validation: Results from Visual Inspection of Bright Galaxies, Luminous Red Galaxies, and Emission Line Galaxies
Ting-Wen Lan, R. Tojeiro, E. Armengaud +79
The Dark Energy Spectroscopic Instrument (DESI) Survey has obtained a set of spectroscopic measurements of galaxies to validate the final survey design and target selections. To as…
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks
Pablo Lemos, Miles Cranmer, Muntazir Abidi +5
Simulation-based inference (SBI) is rapidly establishing itself as a standard machine learning technique for analyzing data in cosmological surveys. Despite continual improvements…
Cosmological Information in the Marked Power Spectrum of the Galaxy Field
Elena Massara, Francisco Villaescusa-Navarro, ChangHoon Hahn +6
Marked power spectra are two-point statistics of a marked field obtained by weighting each location with a function that depends on the local density around that point. We consider…
Wavelet Moments for Cosmological Parameter Estimation
Michael Eickenberg, Erwan Allys, Azadeh Moradinezhad Dizgah +10
Extracting non-Gaussian information from the non-linear regime of structure formation is key to fully exploiting the rich data from upcoming cosmological surveys probing the large-…
Extracting high-order cosmological information in galaxy surveys with power spectra
Yuting Wang, Gong-Bo Zhao, Kazuya Koyama +11
The reconstruction method was proposed more than a decade ago to boost the signal of baryonic acoustic oscillations measured in galaxy redshift surveys, which is one of key probes…
The CAMELS project: public data release
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar +44
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynami…
The PDF perspective on the tracer-matter connection: Lagrangian bias and non-Poissonian shot noise
Oliver Friedrich, Anik Halder, Aoife Boyle +5
We study the connection of matter density and its tracers from the PDF perspective. One aspect of this connection is the conditional expectation value $\langle δ_{\mathrm{tracer}}|…
Constraining with the Bispectrum II: The Total Information Content of the Galaxy Bispectrum
ChangHoon Hahn, Francisco Villaescusa-Navarro
Massive neutrinos suppress the growth of structure on small scales and leave an imprint on large-scale structure that can be measured to constrain their total mass, . With sta…
Learning neutrino effects in Cosmology with Convolutional Neural Networks
Elena Giusarma, Mauricio Reyes Hurtado, Francisco Villaescusa-Navarro +3
Measuring the sum of the three active neutrino masses, , is one of the most important challenges in modern cosmology. Massive neutrinos imprint characteristic signatures on se…
Constraining with the Bispectrum I: Breaking Parameter Degeneracies
ChangHoon Hahn, Francisco Villaescusa-Navarro, Emanuele Castorina +1
Massive neutrinos suppress the growth of structure below their free-streaming scale and leave an imprint on large-scale structure. Measuring this imprint allows us to constrain the…
The Quijote simulations
Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara +26
The Quijote simulations are a set of 44,100 full N-body simulations spanning more than 7,000 cosmological models in the hyperplane.…
Inflation and Dark Energy from spectroscopy at
Simone Ferraro, Michael J. Wilson, Muntazir Abidi +140
The expansion of the Universe is understood to have accelerated during two epochs: in its very first moments during a period of Inflation and much more recently, at , when D…
Likelihood Non-Gaussianity in Large-Scale Structure Analyses
ChangHoon Hahn, Florian Beutler, Manodeep Sinha +3
Standard present day large-scale structure (LSS) analyses make a major assumption in their Bayesian parameter inference --- that the likelihood has a Gaussian form. For summary sta…