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Publications

  1. FREmu: Power Spectrum Emulator for f(R) Gravity
    Jiachen Bai, Junqing Xia
    2405.05840
  2. Hierarchic Flows to Estimate and Sample High-dimensional Probabilities
    Etienne Lempereur, Stephane Mallat
    2405.03468
  3. A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics
    Beyond-2pt Collaboration: Elisabeth Krause, Yosuke Kobayashi, Andrés N. Salcedo, Mikhail M. Ivanov, Tom Abel, Kazuyuki Akitsu, Raul E. Angulo, Giovanni Cabass, Sofia Contarini, Carolina Cuesta-Lazaro, ChangHoon Hahn, Nico Hamaus, Donghui Jeong, Chirag Modi, Nhat-Minh Nguyen, Takahiro Nishimichi, Enrique Paillas, Marcos Pellejero Ibañez, Oliver H. E. Philcox, Alice Pisani, Fabian Schmidt, Satoshi Tanaka, Giovanni Verza, Sihan Yuan, Matteo Zennaro
    2405.02252
  4. Bye bye, local bias: the statistics of the halo field are not determined by the local mass density
    Deaglan J. Bartlett, Matthew Ho, Benjamin D. Wandelt
    2405.00635
  5. Deep Learning for Cosmological Parameter Inference from Dark Matter Halo Density Field
    Zhiwei Min, Xu Xiao, Jiacheng Ding, Liang Xiao, Jie Jiang, Donglin Wu, Qiufan Lin, Yin Li, Yang Wang, Shuai Liu, Zhixin Chen, Xiangru Li, Jinqu Zhang, Le Zhang, Xiao-Dong Li
    2404.09483
  6. SimBIG: Cosmological Constraints using Simulation-Based Inference of Galaxy Clustering with Marked Power Spectra
    Elena Massara, ChangHoon Hahn, Michael Eickenberg, Shirley Ho, Jiamin Hou, Pablo Lemos, Chirag Modi, Azadeh Moradinezhad Dizgah, Liam Parker, Bruno Régaldo-Saint Blancard
    2404.04228
  7. Neural network reconstruction of density and velocity fields from the 2MASS Redshift Survey
    Robert Lilow, Punyakoti Ganeshaiah Veena, Adi Nusser
    2404.02278
  8. Constraining Primordial Non-Gaussianity from Large Scale Structure with the Wavelet Scattering Transform
    Matteo Peron, Gabriel Jung, Michele Liguori, Massimo Pietroni
    2403.17657
  9. Cosmology with Persistent Homology: a Fisher Forecast
    Jacky H. T. Yip, Matteo Biagetti, Alex Cole, Karthik Viswanathan, Gary Shiu
    2403.13985
  10. Displacement Field Analysis via Optimal Transport: Multi-Tracer Approach to Cosmological Reconstruction
    Farnik Nikakhtar, Ravi K. Sheth, Nikhil Padmanabhan, Bruno Lévy, Roya Mohayaee
    2403.11951
  11. Quijote-PNG: Optimizing the summary statistics to measure Primordial non-Gaussianity
    Gabriel Jung, Andrea Ravenni, Michele Liguori, Marco Baldi, William R. Coulton, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
    2403.00490
  12. syren-halofit: A fast, interpretable, high-precision formula for the ΛCDM nonlinear matter power spectrum
    Deaglan J. Bartlett, Benjamin D. Wandelt, Matteo Zennaro, Pedro G. Ferreira, Harry Desmond
    2402.17492
  13. Cosmology at the Field Level with Probabilistic Machine Learning
    Adam Rouhiainen
    PhD thesis
  14. LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
    Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier, Carolina Cuesta-Lazaro, Simon Ding, Axel Lapel, Pablo Lemos, Christopher C. Lovell, T. Lucas Makinen, Chirag Modi, Viraj Pandya, Shivam Pandey, Lucia A. Perez, Benjamin Wandelt, Greg L. Bryan
    2402.05137
  15. SIMBIG: Cosmological Constraints from the Redshift-Space Galaxy Skew Spectra
    Jiamin Hou, Azadeh Moradinezhad Dizgah, ChangHoon Hahn, Michael Eickenberg, Shirley Ho, Pablo Lemos, Elena Massara, Chirag Modi, Liam Parker, Bruno Régaldo-Saint Blancard
    2401.15074
  16. Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators
    Ludvig Doeser, Drew Jamieson, Stephen Stopyra, Guilhem Lavaux, Florent Leclercq, Jens Jasche
    2312.09271
  17. A point cloud approach to generative modeling for galaxy surveys at the field level
    Carolina Cuesta-Lazaro, Siddharth Mishra-Sharma
    2311.17141
  18. Constraining Neutrino Cosmologies with Nonlinear Reconstruction
    Shi-Hui Zang, Hong-Ming Zhu
    2311.16439
  19. Self-calibrating BAO measurements in the presence of Small Displacement Interlopers
    Alan B. H. Nguyen, Elena Massara, Will J. Percival
    2311.14210
  20. Imprint of massive neutrinos on Persistent Homology of large-scale structure
    M. H. Jalali Kanafi, S. Ansarifard, S. M. S. Movahed
    2311.13520
  21. Taming assembly bias for primordial non-Gaussianity
    Emanuele Fondi, Licia Verde, Francisco Villaescusa-Navarro, Marco Baldi, William R. Coulton, Gabriel Jung, Dionysios Karagiannis, Michele Liguori, Andrea Ravenni, Benjamin D. Wandelt
    2311.10088
  22. Analysis of an iterative reconstruction method in comparison of the standard reconstruction method
    Xinyi Chen, Nikhil Padmanabhan
    2311.09531
  23. Elucidating the impact of massive neutrinos on halo assembly bias
    Yunjia Song, Ying Zu
    2311.07650
  24. On the range of validity of perturbative models for galaxy clustering and its uncertainty
    Giosuè Gambardella, Matteo Biagetti, Chiara Moretti, Emiliano Sefusatti
    2311.04608
  25. Evaluating the reconstruction of individual haloes in constrained cosmological simulations
    Richard Stiskalek, Harry Desmond, Julien Devriendt, Adrianne Slyz
    2310.20672
  26. SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering
    Pablo Lemos, Liam Parker, ChangHoon Hahn, Shirley Ho, Michael Eickenberg, Jiamin Hou, Elena Massara, Chirag Modi, Azadeh Moradinezhad Dizgah, Bruno Regaldo-Saint Blancard, David Spergel
    2310.15256
  27. SIMBIG: Galaxy Clustering Analysis with the Wavelet Scattering Transform
    Bruno Régaldo-Saint Blancard, ChangHoon Hahn, Shirley Ho, Jiamin Hou, Pablo Lemos, Elena Massara, Chirag Modi, Azadeh Moradinezhad Dizgah, Liam Parker, Yuling Yao, Michael Eickenberg
    2310.15250
  28. SIMBIG: The First Cosmological Constraints from Non-Gaussian and Non-Linear Galaxy Clustering
    ChangHoon Hahn, Pablo Lemos, Liam Parker, Bruno Régaldo-Saint Blancard, Michael Eickenberg, Shirley Ho, Jiamin Hou, Elena Massara, Chirag Modi, Azadeh Moradinezhad Dizgah, David Spergel
    2310.15246
  29. SIMBIG: The First Cosmological Constraints from the Non-Linear Galaxy Bispectrum
    ChangHoon Hahn, Michael Eickenberg, Shirley Ho, Jiamin Hou, Pablo Lemos, Elena Massara, Chirag Modi, Azadeh Moradinezhad Dizgah, Liam Parker, Bruno Régaldo-Saint Blancard
    2310.15243
  30. A theoretical view on the T-web statistical description of the cosmic web
    Emma Ayçoberry, Alexandre Barthelemy, Sandrine Codis
    2310.03548
  31. Primordial non-Gaussianities with weak lensing: Information on non-linear scales in the Ulagam full-sky simulations
    Dhayaa Anbajagane, Chihway Chang, Hayden Lee, Marco Gatti
    2310.02349
  32. Small-scale signatures of primordial non-Gaussianity in k-Nearest Neighbour cumulative distribution functions
    William R. Coulton, Tom Abel, Arka Banerjee
    2309.15151
  33. Sensitivity Analysis of Simulation-Based Inference for Galaxy Clustering
    Chirag Modi, Shivam Pandey, Matthew Ho, ChangHoon Hahn, Bruno R'egaldo-Saint Blancard, Benjamin Wandelt
    2309.15071
  34. Towards an Optimal Cosmological Detection of Neutrino Mass with Bayesian Inference
    Adrian Bayer
    PhD thesis
  35. The effects of non-linearity on the growth rate constraint from velocity correlation functions
    Motonari Tonegawa, Stephen Appleby, Changbom Park, Sungwook E. Hong, Juhan Kim
    2309.14457
  36. Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood
    Chirag Modi, Oliver H.E. Philcox
    2309.10270
  37. Predicting Interloper Fraction with Graph Neural Networks
    Elena Massara, Francisco Villaescusa-Navarro, Will J. Percival
    2309.05850
  38. The two-loop power spectrum in redshift space
    Petter Taule, Mathias Garny
    2308.07379
  39. Beyond the 3rd moment: A practical study of using lensing convergence CDFs for cosmology with DES Y3
    D. Anbajagane, C. Chang, A. Banerjee, T. Abel, M. Gatti, V. Ajani, A. Alarcon et al.
    2308.03863
  40. Precision cosmology using voids
    Alex Woodfinden
    PhD thesis
  41. Probing the anisotropy and non-Gaussianity in redshift space through the derivative of excursion set moments
    M. H. Jalali Kanafi, S. M. S. Movahed
    2308.03086
  42. Hybrid-bias and displacement emulators for field-level modelling of galaxy clustering in real and redshift space
    Marcos Pellejero Ibanez, Raul E. Angulo, Drew Jamieson, Yin Li
    2307.09134
  43. Neutrino mass constraint from an Implicit Likelihood Analysis of BOSS voids
    Leander Thiele, Elena Massara, Alice Pisani, ChangHoon Hahn, David N. Spergel, Shirley Ho, Benjamin Wandelt
    2307.07555
  44. Optimal Transport Reconstruction of Biased Tracers in Redshift Space
    Farnik Nikakhtar, Nikhil Padmanabhan, Bruno Lévy, Ravi K. Sheth, Roya Mohayaee
    2307.03671
  45. Numerical Studies in Rarefied Gas Dynamics, Cosmological Summary Statistics, and Scalar Field Dark Matter
    Alvaro Zamora
    PhD thesis
  46. Scattering Spectra Models for Physics
    Sihao Cheng, Rudy Morel, Erwan Allys, Brice Menard, Stephane Mallat
    2306.17210
  47. Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures
    Bruno Regaldo-Saint Blancard, Michael Eickenberg
    2306.15012
  48. Whispers from the Big Bang: cosmological constraints from galaxy power spectra
    Aaron Glanville
    PhD thesis
  49. Signatures of a Parity-Violating Universe
    William R. Coulton, Oliver H. E. Philcox, Francisco Villaescusa-Navarro
    2306.11782
  50. Effective cosmic density field reconstruction with convolutional neural network
    Xinyi Chen, Fangzhou Zhu, Sasha Gaines, Nikhil Padmanabhan
    2306.10538
  51. On approximations of the redshift-space bispectrum and power spectrum multipoles covariance matrix
    Sergi Novell-Masot, Héctor Gil-Marín, Licia Verde
    2306.03137
  52. Clustering of binary black hole mergers: a detailed analysis of the EAGLE+MOBSE simulation
    Matteo Peron, Sarah Libanore, Andrea Ravenni, Michele Liguori, Maria Celeste Artale
    2305.18003
  53. Non-Linearity-Free prediction of the growth-rate fσ8 using Convolutional Neural Networks
    Koya Murakami, Indira Ocampo, Savvas Nesseris, Atsushi J. Nishizawa, Sachiko Kuroyanagi
    2305.12812
  54. Quijote-PNG: The Information Content of the Halo Mass Function
    Gabriel Jung, Andrea Ravenni, Marco Baldi, William R. Coulton, Drew Jamieson, Dionysios Karagiannis, Michele Liguori, Helen Shao, Licia Verde, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
    2305.10597
  55. How to estimate Fisher matrices from simulations
    William R. Coulton, Benjamin D. Wandelt
    2305.08994
  56. Improving constraints on primordial non-Gaussianity using neural network based reconstruction
    Thomas Flöss, P. Daniel Meerburg
    2305.07018
  57. Constraining fNL using the Large-Scale Modulation of Small-Scale Statistics
    Utkarsh Giri, Moritz Münchmeyer, Kendrick M. Smith
    2305.03070
  58. Posterior Sampling of the Initial Conditions of the Universe from Non-linear Large Scale Structures using Score-Based Generative Models
    Ronan Legin, Matthew Ho, Pablo Lemos, Laurence Perreault-Levasseur, Shirley Ho, Yashar Hezaveh, Benjamin Wandelt
    2304.03788
  59. On the impact of f(Q) gravity on the Large Scale Structure
    Oleksii Sokoliuk, Simran Arora, Subhrat Praharaj, Alexander Baransky, P.K. Sahoo
    2303.17341
  60. GEO-FPT: a model of the galaxy bispectrum at mildly non-linear scales
    Sergi Novell-Masot, Davide Gualdi, Héctor Gil-Marín, Licia Verde
    2303.15510
  61. Predicting the Initial Conditions of the Universe using Deep Learning
    Vaibhav Jindal, Drew Jamieson, Albert Liang, Aarti Singh, Shirley Ho
    2303.13056
  62. Probing massive neutrinos with the Minkowski functionals of the galaxy distribution
    Wei Liu, Aoxiang Jiang, Wenjuan Fang
    2302.08162
  63. Cosmological Properties of the Cosmic Web
    Majd Shalak, Jean-Michel Alimi
    Phys. Sci. Forum 2023
  64. Perturbation-theory informed integrators for cosmological simulations
    Florian List, Oliver Hahn
    2301.09655
  65. Signature of Massive Neutrinos from the Clustering of Critical Points. I. Density-threshold-based Analysis in Configuration Space
    Jeongin Moon, Graziano Rossi, Hogyun Yu
    ApJS 264 26 (2023)
  66. Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks
    Héctor J. Hortúa, Luz Ángela García, Leonardo Castañeda C
    2301.03991
  67. Window function convolution with deep neural network models
    Davit Alkhanishvili, Cristiano Porciani, Emiliano Sefusatti
    2212.09742
  68. Machine learning cosmology from void properties
    Bonny Y. Wang, Alice Pisani, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
    2212.06860
  69. Cosmology with cosmic web environments II. Redshift-space auto and cross power spectra
    Tony Bonnaire, Joseph Kuruvilla, Nabila Aghanim, Aurélien Decelle
    2212.06338
  70. Quijote-PNG: Quasi-maximum likelihood estimation of Primordial Non-Gaussianity in the non-linear halo density field
    Gabriel Jung, Dionysios Karagiannis, Michele Liguori, Marco Baldi, William R Coulton, Drew Jamieson, Licia Verde, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
    2211.07565
  71. SIMBIG: A Forward Modeling Approach To Analyzing Galaxy Clustering
    ChangHoon Hahn, Michael Eickenberg, Shirley Ho, Jiamin Hou, Pablo Lemos, Elena Massara, Chirag Modi, Azadeh Moradinezhad Dizgah, Bruno Régaldo-Saint Blancard, Muntazir M. Abidi
    2211.00723
  72. SIMBIG: Mock Challenge for a Forward Modeling Approach to Galaxy Clustering
    ChangHoon Hahn, Michael Eickenberg, Shirley Ho, Jiamin Hou, Pablo Lemos, Elena Massara, Chirag Modi, Azadeh Moradinezhad Dizgah, Bruno Régaldo-Saint Blancard, Muntazir M. Abidi
    2211.00660
  73. Cosmological Information in Skew Spectra of Biased Tracers in Redshift Space
    Jiamin Hou, Azadeh Moradinezhad Dizgah, ChangHoon Hahn, Elena Massara
    2210.12743
  74. New applications of Graph Neural Networks in Cosmology
    Farida Farsian, Federico Marulli, Lauro Moscardini, Carlo Giocoli
    2210.11487
  75. Tracer-Field Cross-Correlations with k-Nearest Neighbor Distributions
    Arka Banerjee, Tom Abel
    2210.05140
  76. Squeezing $f_{\rm NL}$ out of the matter bispectrum with consistency relations
    Samuel Goldstein, Angelo Esposito, Oliver H. E. Philcox, Lam Hui, J. Colin Hill, Roman Scoccimarro, Maximilian H. Abitbol
    2209.06228
  77. Constraining νΛCDM with density-split clustering
    Enrique Paillas, Carolina Cuesta-Lazaro, Pauline Zarrouk, Yan-Chuan Cai, Will J. Percival, Seshadri Nadathur, Mathilde Pinon, Arnaud de Mattia, Florian Beutler
    2209.04310
  78. Bayesian evidence comparison for distance scale estimates
    Aseem Paranjape, Ravi K. Sheth
    2209.00668
  79. Minkowski Tensors in Redshift Space -- Beyond the Plane Parallel Approximation
    Stephen Appleby, Joby P. Kochappan, Pravabati Chingangbam, Changbom Park
    2208.10164
  80. Correcting for small-displacement interlopers in BAO analyses
    Setareh Foroozan, Elena Massara, Will J. Percival
    2208.05001
  81. Fast computation of non-linear power spectrum in cosmologies with massive neutrinos
    Hernán E. Noriega, Alejandro Aviles, Sebastien Fromenteau, Mariana Vargas-Magaña
    2208.02791
  82. Estimating Cosmological Constraints from Galaxy Cluster Abundance using Simulation-Based Inference
    Moonzarin Reza, Yuanyuan Zhang, Brian Nord, Jason Poh, Aleksandra Ciprijanovic, Louis Strigari
    2208.00134
  83. The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
    T. Lucas Makinen, Tom Charnock, Pablo Lemos, Natalia Porqueres, Alan Heavens, Benjamin D. Wandelt
    2207.05202
  84. The Disordered Heterogeneous Universe: Galaxy Distribution and Clustering Across Length Scales
    Oliver H. E. Philcox, Salvatore Torquato
    2207.00519
  85. Quijote PNG: The information content of the halo power spectrum and bispectrum
    William R Coulton, Francisco Villaescusa-Navarro, Drew Jamieson, Marco Baldi, Gabriel Jung, Dionysios Karagiannis, Michele Liguori, Licia Verde, Benjamin D. Wandelt
    2206.15450
  86. Velocity profiles of matter and biased tracers around voids
    Elena Massara, Will J. Percival, Neal Dalal, Seshadri Nadathur, Slađana Radinović, Hans A. Winther, Alex Woodfinden
    2206.14120
  87. Primordial non-Gaussianity and non-Gaussian Covariance
    Thomas Floss, Matteo Biagetti, P. Daniel Meerburg
    2206.10458
  88. Field Level Neural Network Emulator for Cosmological N-body Simulations
    Drew Jamieson, Yin Li, Renan Alves de Oliveira, Francisco Villaescusa-Navarro, Shirley Ho, David N. Spergel
    2206.04594
  89. Simple lessons from complex learning: what a neural network model learns about cosmic structure formation
    Drew Jamieson, Yin Li, Siyu He, Francisco Villaescusa-Navarro, Shirley Ho, Renan Alves de Oliveira, David N. Spergel
    2206.04573
  90. Cosmological Information in the Marked Power Spectrum of the Galaxy Field
    Elena Massara, Francisco Villaescusa-Navarro, ChangHoon Hahn, Muntazir M. Abidi, Michael Eickenberg, Shirley Ho, Pablo Lemos, Azadeh Moradinezhad Dizgah, Bruno Regaldo-Saint Blancard
    2206.01709
  91. Quijote-PNG: Quasi-maximum likelihood estimation of Primordial Non-Gaussianity in the non-linear dark matter density field
    Gabriel Jung, Dionysios Karagiannis, Michele Liguori, Marco Baldi, William R Coulton, Drew Jamieson, Licia Verde, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
    2206.01624
  92. Quijote-PNG: Simulations of primordial non-Gaussianity and the information content of the matter field power spectrum and bispectrum
    William R Coulton, Francisco Villaescusa-Navarro, Drew Jamieson, Marco Baldi, Gabriel Jung, Dionysios Karagiannis, Michele Liguori, Licia Verde, Benjamin D. Wandelt
    2206.01619
  93. Accurate predictions from small boxes: variance suppression via the Zel'dovich approximation
    Nickolas Kokron, Shi-Fan Chen, Martin White, Joseph DeRose, Mark Maus
    2205.15327
  94. Robust Neural Network-Enhanced Estimation of Local Primordial Non-Gaussianity
    Utkarsh Giri, Moritz Münchmeyer, Kendrick M. Smith
    2205.12964
  95. Two-loop power spectrum with full time- and scale-dependence and EFT corrections: impact of massive neutrinos and going beyond EdS
    Mathias Garny, Petter Taule
    2205.11533
  96. Improving cosmological covariance matrices with machine learning
    Natali S.M. de Santi, L. Raul Abramo
    2205.10881
  97. Fast and realistic large-scale structure from machine-learning-augmented random field simulations
    Davide Piras, Benjamin Joachimi, Francisco Villaescusa-Navarro
    2205.07898
  98. Distinguishing Dirac vs. Majorana Neutrinos: a Cosmological Probe
    Beatriz Hernandez-Molinero, Raul Jimenez, Carlos Pena-Garay
    2205.00808
  99. Accurate Model of the Projected Velocity Distribution of Galaxies in Dark Matter Halos
    Han Aung, Daisuke Nagai, Eduardo Rozo, Brandon Wolfe, Susmita Adhikari
    2204.13131
  100. Wavelet Moments for Cosmological Parameter Estimation
    Michael Eickenberg, Erwan Allys, Azadeh Moradinezhad Dizgah, Pablo Lemos, Elena Massara, Muntazir Abidi, ChangHoon Hahn, Sultan Hassan, Bruno Regaldo-Saint Blancard, Shirley Ho, Stephane Mallat, Joakim Andén, Francisco Villaescusa-Navarro
    2204.07646
  101. Quantification of high dimensional non-Gaussianities and its implication to Fisher analysis in cosmology
    Core Francisco Park, Erwan Allys, Francisco Villaescusa-Navarro, Douglas P. Finkbeiner
    2204.05435
  102. Bayesian Control Variates for optimal covariance estimation with pairs of simulations and surrogates
    Nicolas Chartier, Benjamin D. Wandelt
    2204.03070
  103. Probing massive neutrinos with the Minkowski functionals of large-scale structure
    Wei Liu, Aoxiang Jiang, Wenjuan Fang
    2204.02945
  104. Perturbation Theory vs Simulation: Quasi-linear Scale, Binning Effect, and Visualization of Bispectrum
    Joseph Tomlinson, Donghui Jeong
    2204.00668
  105. The effect of local universe constraints on halo abundance and clustering
    Maxwell L. Hutt, Harry Desmond, Julien Devriendt, Adrianne Slyz
    2203.14724
  106. Extracting high-order cosmological information in galaxy surveys with power spectra
    Yuting Wang, Gong-Bo Zhao, Kazuya Koyama, Will J. Percival, Ryuichi Takahashi, Chiaki Hikage, Héctor Gil-Marín, ChangHoon Hahn, Ruiyang Zhao, Weibing Zhang, Xiaoyong Mu, Yu Yu, Hong-Ming Zhu, Fei Ge
    2202.05248
  107. Constraining cosmological parameters from N-body simulations with Bayesian Neural Networks
    Hector J. Hortua
    2112.11865
  108. Detection of spatial clustering in the 1000 richest SDSS DR8 redMaPPer clusters with Nearest Neighbor distributions
    Yunchong Wang, Arka Banerjee, Tom Abel
    2112.04502
  109. One-point statistics matter in extended cosmologies
    Alex Gough, Cora Uhlemann
    2112.04428
  110. Cosmology with cosmic web environments I. Real-space power spectra
    Tony Bonnaire, Nabila Aghanim, Joseph Kuruvilla, Aurélien Decelle
    2112.03926
  111. The Information Content of Projected Galaxy Fields
    Lucas Porth, Gary M. Bernstein, Robert E. Smith, Abigail J. Lee
    2111.13702
  112. Cosmology and neutrino mass with the Minimum Spanning Tree
    Krishna Naidoo, Elena Massara, Ofer Lahav
    2111.12088
  113. The Covariance of Squeezed Bispectrum Configurations
    Matteo Biagetti, Lina Castiblanco, Jorge Noreña, Emiliano Sefusatti
    2111.05887
  114. NECOLA: Towards a Universal Field-level Cosmological Emulator
    Neerav Kaushal, Francisco Villaescusa-Navarro, Elena Giusarma, Yin Li, Conner Hawry, Mauricio Reyes
    2111.02441
  115. The smearing scale in Laguerre reconstructions of the correlation function
    Farnik Nikakhtar, Ravi K. Sheth, Idit Zehavi
    2110.03591
  116. Cosmology with the kinetic Sunyaev-Zeldovich effect: Independent of the optical depth and σ8
    Joseph Kuruvilla
    2109.13938
  117. Creating Jackknife and Bootstrap estimates of the covariance matrix for the two-point correlation function
    Faizan G. Mohammad, Will J. Percival
    2109.07071
  118. The matter density PDF for modified gravity and dark energy with Large Deviations Theory
    Matteo Cataneo, Cora Uhlemann, Christian Arnold, Alex Gough, Baojiu Li, Catherine Heymans
    2109.02636
  119. Towards an Optimal Estimation of Cosmological Parameters with the Wavelet Scattering Transform
    Georgios Valogiannis, Cora Dvorkin
    2108.07821
  120. Beware of Fake νs : The Effect of Massive Neutrinos on the Non-Linear Evolution of Cosmic Structure
    Adrian E. Bayer, Arka Banerjee, Uros Seljak
    2108.04215
  121. The effects of peculiar velocities on the morphological properties of large scale structures
    Aoxiang Jiang, Wei Liu, Wenjuan Fang, Wen Zhao
    2108.03851
  122. Analytic Gaussian Covariance Matrices for Galaxy N-Point Correlation Functions
    Jiamin Hou, Robert N. Cahn, Oliver H.E. Philcox, Zachary Slepian
    2108.01714
  123. Modeling Nearest Neighbor distributions of biased tracers using Hybrid Effective Field Theory
    Arka Banerjee, Nickolas Kokron, Tom Abel
    2107.10287
  124. The reach of next-to-leading-order perturbation theory for the matter bispectrum
    Davit Alkhanishvili, Cristiano Porciani, Emiliano Sefusatti, Matteo Biagetti, Andrei Lazanu, Andrea Oddo, and Victoria Yankelevich
    2107.08054
  125. The GIGANTES dataset: precision cosmology from voids in the machine learning era
    Christina D. Kreisch, Alice Pisani, Francisco Villaescusa-Navarro, David N. Spergel, Benjamin D. Wandelt, Nico Hamaus, Adrian E. Bayer
    2107.02304
  126. The PDF perspective on the tracer-matter connection: Lagrangian bias and non-Poissonian shot noise
    Oliver Friedrich, Anik Halder, Aoife Boyle, Cora Uhlemann, Dylan Britt, Sandrine Codis, Daniel Gruen, ChangHoon Hahn
    2107.02300
  127. Clustering in Massive Neutrino Cosmologies via Eulerian Perturbation Theory
    Alejandro Aviles, Arka Banerjee, Gustavo Niz, Zachary Slepian
    2106.13771
  128. CARPool Covariance: Fast, unbiased covariance estimation for large-scale structure observables
    Nicolas Chartier, Benjamin D. Wandelt
    2106.11718
  129. Extracting cosmological parameters from N-body simulations using machine learning techniques
    Andrei Lazanu
    2106.11061
  130. Unsupervised Resource Allocation with Graph Neural Networks
    Miles Cranmer, Peter Melchior, Brian Nord
    2106.09761
  131. Normalizing flows for random fields in cosmology
    Adam Rouhiainen, Utkarsh Giri, Moritz Münchmeyer
    2105.12024
  132. Joint analysis of anisotropic power spectrum, bispectrum and trispectrum: application to N-body simulations
    Davide Gualdi, Hector Gil-Marin, Licia Verde
    2104.03976
  133. Clustering and halo abundances in early dark energy cosmological models
    Anatoly Klypin, Vivian Poulin, Francisco Prada, Joel Primack, Marc Kamionkowski, Vladimir Avila-Reese, Aldo Rodriguez-Puebla, Peter Behroozi, Doug Hellinger, Tristan L Smith
    MNRAS article
  134. Detecting the radiative decay of the cosmic neutrino background with line-intensity mapping
    Jose Luis Bernal, Andrea Caputo, Francisco Villaescusa-Navarro, Marc Kamionkowski
    2103.12099
  135. Information content in mean pairwise velocity and mean relative velocity between pairs in a triplet
    Joseph Kuruvilla, Nabila Aghanim
    2102.06709
  136. Detecting neutrino mass by combining matter clustering, halos, and voids
    Adrian E. Bayer, Francisco Villaescusa-Navarro, Elena Massara, Jia Liu, David N. Spergel, Licia Verde, Benjamin Wandelt, Matteo Viel, Shirley Ho
    2102.05049
  137. Information Content of Higher-Order Galaxy Correlation Functions
    Lado Samushia, Zachary Slepian, Francisco Villaescusa-Navarro
    2102.01696
  138. Cosmological cross-correlations and nearest neighbor distributions
    Arka Banerjee, Tom Abel
    2102.01184
  139. Learning the Evolution of the Universe in N-body Simulations
    Chang Chen, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, Anthony Pullen
    2012.05472
  140. Constraining Mν with the Bispectrum II: The Total Information Content of the Galaxy Bispectrum
    ChangHoon Hahn, Francisco Villaescusa-Navarro
    2012.02200
  141. Fast and Accurate Non-Linear Predictions of Universes with Deep Learning
    Renan Alves de Oliveira, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, David N. Spergel
    2012.00240
  142. Minkowski functionals and the nonlinear perturbation theory in the large-scale structure: second-order effects
    Takahiko Matsubara, Chiaki Hikage, Satoshi Kuriki
    2012.00203
  143. The unequal-time matter power spectrum: impact on weak lensing observables
    Lucia F. de la Bella, Nicolas Tessore, Sarah Bridle
    2011.06185
  144. Exploring KSZ velocity reconstruction with N-body simulations and the halo model
    Utkarsh Giri, Kendrick M. Smith
    2010.07193
  145. Modeling the Marked Spectrum of Matter and Biased Tracers in Real- and Redshift-Space
    Oliver H.E. Philcox, Alejandro Aviles, Elena Massara
    2010.05914
  146. CARPool: fast, accurate computation of large-scale structure statistics by pairing costly and cheap cosmological simulations
    Nicolas Chartier, Benjamin Wandelt, Yashar Akrami, Francisco Villaescusa-Navarro
    2009.08970
  147. Matter trispectrum: theoretical modelling and comparison to N-body simulations
    Davide Gualdi, Sergi Novell, Héctor Gil-Marín, Licia Verde
    2009.02290
  148. The impact of massive neutrinos on halo assembly bias
    Titouan Lazeyras, Francisco Villaescusa-Navarro, Matteo Viel
    2008.12265
  149. Capturing the Cosmic Web for Cosmology
    Krishna Naidoo
    1829731
  150. Nearest Neighbor distributions: new statistical measures for cosmological clustering
    Arka Banerjee, Tom Abel
    2007.13342
  151. The effects of massive neutrinos on the linear point of the correlation function
    G. Parimbelli, S. Anselmi, M. Viel, C. Carbone, F. Villaescusa-Navarro, P.S. Corasaniti, Y. Rasera, R. Sheth, G.D. Starkman, I. Zehavi
    2007.10345
  152. A Lagrangian Perturbation Theory in the presence of massive neutrinos
    Alejandro Aviles, Arka Banerjee
    2007.06508
  153. Discovering Symbolic Models from Deep Learning with Inductive Biases
    Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, Shirley Ho
    2006.11287
  154. What does the marked power spectrum measure? Insights from perturbation theory
    Oliver H.E. Philcox, Elena Massara, David N. Spergel
    2006.10055
  155. New Interpretable Statistics for Large Scale Structure Analysis and Generation
    E. Allys, T. Marchand, J.-F. Cardoso, F. Villaescusa-Navarro, S. Ho, S. Mallat
    2006.06298
  156. A Faster Fourier Transform? Computing Small-Scale Power Spectra and Bispectra for Cosmological Simulations in 𝒪(N2) Time
    Oliver H.E. Philcox
    2005.01739
  157. Effective halo model: Creating a physical and accurate model of the matter power spectrum and cluster counts
    Oliver H.E. Philcox, David N. Spergel, Francisco Villaescusa-Navarro
    2004.09515
  158. What Can We Learn by Combining the Skew Spectrum and the Power Spectrum?
    Ji-Ping Dai, Licia Verde, Jun-Qing Xia
    2002.09904
  159. Using the Marked Power Spectrum to Detect the Signature of Neutrinos in Large-Scale Structure
    Elena Massara, Francisco Villaescusa-Navarro, Shirley Ho, Neal Dalal, David N. Spergel
    2001.11024
  160. Super-resolution emulator of cosmological simulations using deep physical models
    Doogesh Kodi Ramanah, Tom Charnock, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
    2001.05519
  161. Primordial non-Gaussianity without tails – how to measure fNL with the bulk of the density PDF
    Oliver Friedrich, Cora Uhlemann, Francisco Villaescusa-Navarro, Tobias Baldauf, Marc Manera, Takahiro Nishimichi
    1912.06621
  162. Fisher for complements: Extracting cosmology and neutrino mass from the counts-in-cells PDF
    Cora Uhlemann, Oliver Friedrich, Francisco Villaescusa-Navarro, Arka Banerjee, Sandrine Codis
    1911.11158
  163. Learning neutrino effects in Cosmology with Convolutional Neural Networks
    Elena Giusarma, Mauricio Reyes Hurtado, Francisco Villaescusa-Navarro, Siyu He, Shirley Ho, ChangHoon Hahn
    1910.04255
  164. Constraining Mν with the bispectrum. Part I. Breaking parameter degeneracies
    ChangHoon Hahn, Francisco Villaescusa-Navarro, Emanuele Castorina, Roman Scoccimarro
    1909.11107
  165. Weighing neutrinos with the halo environment
    Arka Banerjee, Emanuele Castorina, Francisco Villaescusa-Navarro, Travis Court, Matteo Viel
    1907.06598
  166. Anisotropic halo assembly bias and redshift-space distortions
    Andrej Obuljen, Neal Dalal, Will J. Percival
    1906.11823
  167. The Quijote simulations
    Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara, Arka Banerjee, Ana Maria Delgado, Doogesh Kodi Ramanah, Tom Charnock, Elena Giusarma, Yin Li, Erwan Allys, Antoine Brochard, Cora Uhlemann, Chi-Ting Chiang, Siyu He, Alice Pisani, Andrej Obuljen, Yu Feng, Emanuele Castorina, Gabriella Contardo, Christina D. Kreisch, Andrina Nicola, Justin Alsing, Roman Scoccimarro, Licia Verde, Matteo Viel, Shirley Ho, Stephane Mallat, Benjamin Wandelt, David N. Spergel
    1909.05273