Publications

  1. Cosmology with Persistent Homology: a Fisher Forecast
    Jacky H. T. Yip, Matteo Biagetti, Alex Cole, Karthik Viswanathan, Gary Shiu
  2. Displacement Field Analysis via Optimal Transport: Multi-Tracer Approach to Cosmological Reconstruction
    Farnik Nikakhtar, Ravi K. Sheth, Nikhil Padmanabhan, Bruno Lévy, Roya Mohayaee
  3. 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
  4. 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
  5. Cosmology at the Field Level with Probabilistic Machine Learning
    Adam Rouhiainen
  6. 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
  7. 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
  8. 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
  9. A point cloud approach to generative modeling for galaxy surveys at the field level
    Carolina Cuesta-Lazaro, Siddharth Mishra-Sharma
  10. Constraining Neutrino Cosmologies with Nonlinear Reconstruction
    Shi-Hui Zang, Hong-Ming Zhu
  11. Self-calibrating BAO measurements in the presence of Small Displacement Interlopers
    Alan B. H. Nguyen, Elena Massara, Will J. Percival
  12. Imprint of massive neutrinos on Persistent Homology of large-scale structure
    M. H. Jalali Kanafi, S. Ansarifard, S. M. S. Movahed
  13. 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
  14. Analysis of an iterative reconstruction method in comparison of the standard reconstruction method
    Xinyi Chen, Nikhil Padmanabhan
  15. Elucidating the impact of massive neutrinos on halo assembly bias
    Yunjia Song, Ying Zu
  16. On the range of validity of perturbative models for galaxy clustering and its uncertainty
    Giosuè Gambardella, Matteo Biagetti, Chiara Moretti, Emiliano Sefusatti
  17. Evaluating the reconstruction of individual haloes in constrained cosmological simulations
    Richard Stiskalek, Harry Desmond, Julien Devriendt, Adrianne Slyz
  18. 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
  19. 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
  20. 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
  21. 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
  22. A theoretical view on the T-web statistical description of the cosmic web
    Emma Ayçoberry, Alexandre Barthelemy, Sandrine Codis
  23. 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
  24. Small-scale signatures of primordial non-Gaussianity in k-Nearest Neighbour cumulative distribution functions
    William R. Coulton, Tom Abel, Arka Banerjee
  25. Sensitivity Analysis of Simulation-Based Inference for Galaxy Clustering
    Chirag Modi, Shivam Pandey, Matthew Ho, ChangHoon Hahn, Bruno R’egaldo-Saint Blancard, Benjamin Wandelt
  26. Towards an Optimal Cosmological Detection of Neutrino Mass with Bayesian Inference
    Adrian Bayer
  27. 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
  28. Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood
    Chirag Modi, Oliver H.E. Philcox
  29. Predicting Interloper Fraction with Graph Neural Networks
    Elena Massara, Francisco Villaescusa-Navarro, Will J. Percival
  30. The two-loop power spectrum in redshift space
    Petter Taule, Mathias Garny
  31. 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.
  32. Precision cosmology using voids
    Alex Woodfinden
  33. Probing the anisotropy and non-Gaussianity in redshift space through the derivative of excursion set moments
    M. H. Jalali Kanafi, S. M. S. Movahed
  34. 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
  35. 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
  36. Optimal Transport Reconstruction of Biased Tracers in Redshift Space
    Farnik Nikakhtar, Nikhil Padmanabhan, Bruno Lévy, Ravi K. Sheth, Roya Mohayaee
  37. Numerical Studies in Rarefied Gas Dynamics, Cosmological Summary Statistics, and Scalar Field Dark Matter
    Alvaro Zamora
  38. Scattering Spectra Models for Physics
    Sihao Cheng, Rudy Morel, Erwan Allys, Brice Menard, Stephane Mallat
  39. Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures
    Bruno Regaldo-Saint Blancard, Michael Eickenberg
  40. Whispers from the Big Bang: cosmological constraints from galaxy power spectra
    Aaron Glanville
  41. Signatures of a Parity-Violating Universe
    William R. Coulton, Oliver H. E. Philcox, Francisco Villaescusa-Navarro
  42. Effective cosmic density field reconstruction with convolutional neural network
    Xinyi Chen, Fangzhou Zhu, Sasha Gaines, Nikhil Padmanabhan
  43. On approximations of the redshift-space bispectrum and power spectrum multipoles covariance matrix
    Sergi Novell-Masot, Héctor Gil-Marín, Licia Verde
  44. 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
  45. Non-Linearity-Free prediction of the growth-rate fσ8 using Convolutional Neural Networks
    Koya Murakami, Indira Ocampo, Savvas Nesseris, Atsushi J. Nishizawa, Sachiko Kuroyanagi
  46. 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
  47. How to estimate Fisher matrices from simulations
    William R. Coulton, Benjamin D. Wandelt
  48. Improving constraints on primordial non-Gaussianity using neural network based reconstruction
    Thomas Flöss, P. Daniel Meerburg
  49. Constraining fNL using the Large-Scale Modulation of Small-Scale Statistics
    Utkarsh Giri, Moritz Münchmeyer, Kendrick M. Smith
  50. 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
  51. On the impact of f(Q) gravity on the Large Scale Structure
    Oleksii Sokoliuk, Simran Arora, Subhrat Praharaj, Alexander Baransky, P.K. Sahoo
  52. GEO-FPT: a model of the galaxy bispectrum at mildly non-linear scales
    Sergi Novell-Masot, Davide Gualdi, Héctor Gil-Marín, Licia Verde
  53. Predicting the Initial Conditions of the Universe using Deep Learning
    Vaibhav Jindal, Drew Jamieson, Albert Liang, Aarti Singh, Shirley Ho
  54. Probing massive neutrinos with the Minkowski functionals of the galaxy distribution
    Wei Liu, Aoxiang Jiang, Wenjuan Fang
  55. Cosmological Properties of the Cosmic Web
    Majd Shalak, Jean-Michel Alimi
  56. Perturbation-theory informed integrators for cosmological simulations
    Florian List, Oliver Hahn
  57. Signature of Massive Neutrinos from the Clustering of Critical Points. I. Density-threshold-based Analysis in Configuration Space
    Jeongin Moon, Graziano Rossi, Hogyun Yu
  58. Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks
    Héctor J. Hortúa, Luz Ángela García, Leonardo Castañeda C
  59. Window function convolution with deep neural network models
    Davit Alkhanishvili, Cristiano Porciani, Emiliano Sefusatti
  60. Machine learning cosmology from void properties
    Bonny Y. Wang, Alice Pisani, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
  61. Cosmology with cosmic web environments II. Redshift-space auto and cross power spectra
    Tony Bonnaire, Joseph Kuruvilla, Nabila Aghanim, Aurélien Decelle
  62. 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
  63. 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
  64. 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
  65. Cosmological Information in Skew Spectra of Biased Tracers in Redshift Space
    Jiamin Hou, Azadeh Moradinezhad Dizgah, ChangHoon Hahn, Elena Massara
  66. New applications of Graph Neural Networks in Cosmology
    Farida Farsian, Federico Marulli, Lauro Moscardini, Carlo Giocoli
  67. Tracer-Field Cross-Correlations with k-Nearest Neighbor Distributions
    Arka Banerjee, Tom Abel
  68. 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
  69. 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
  70. Bayesian evidence comparison for distance scale estimates
    Aseem Paranjape, Ravi K. Sheth
  71. Minkowski Tensors in Redshift Space – Beyond the Plane Parallel Approximation
    Stephen Appleby, Joby P. Kochappan, Pravabati Chingangbam, Changbom Park
  72. Correcting for small-displacement interlopers in BAO analyses
    Setareh Foroozan, Elena Massara, Will J. Percival
  73. Fast computation of non-linear power spectrum in cosmologies with massive neutrinos
    Hernán E. Noriega, Alejandro Aviles, Sebastien Fromenteau, Mariana Vargas-Magaña
  74. Estimating Cosmological Constraints from Galaxy Cluster Abundance using Simulation-Based Inference
    Moonzarin Reza, Yuanyuan Zhang, Brian Nord, Jason Poh, Aleksandra Ciprijanovic, Louis Strigari
  75. 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
  76. The Disordered Heterogeneous Universe: Galaxy Distribution and Clustering Across Length Scales
    Oliver H. E. Philcox, Salvatore Torquato
  77. 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
  78. 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
  79. Primordial non-Gaussianity and non-Gaussian Covariance
    Thomas Floss, Matteo Biagetti, P. Daniel Meerburg
  80. 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
  81. 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
  82. 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
  83. 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
  84. 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
  85. Accurate predictions from small boxes: variance suppression via the Zel’dovich approximation
    Nickolas Kokron, Shi-Fan Chen, Martin White, Joseph DeRose, Mark Maus
  86. Robust Neural Network-Enhanced Estimation of Local Primordial Non-Gaussianity
    Utkarsh Giri, Moritz Münchmeyer, Kendrick M. Smith
  87. 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
  88. Improving cosmological covariance matrices with machine learning
    Natali S.M. de Santi, L. Raul Abramo
  89. Fast and realistic large-scale structure from machine-learning-augmented random field simulations
    Davide Piras, Benjamin Joachimi, Francisco Villaescusa-Navarro
  90. Distinguishing Dirac vs. Majorana Neutrinos: a Cosmological Probe
    Beatriz Hernandez-Molinero, Raul Jimenez, Carlos Pena-Garay
  91. Accurate Model of the Projected Velocity Distribution of Galaxies in Dark Matter Halos
    Han Aung, Daisuke Nagai, Eduardo Rozo, Brandon Wolfe, Susmita Adhikari
  92. 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
  93. 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
  94. Bayesian Control Variates for optimal covariance estimation with pairs of simulations and surrogates
    Nicolas Chartier, Benjamin D. Wandelt
  95. Probing massive neutrinos with the Minkowski functionals of large-scale structure
    Wei Liu, Aoxiang Jiang, Wenjuan Fang
  96. Perturbation Theory vs Simulation: Quasi-linear Scale, Binning Effect, and Visualization of Bispectrum
    Joseph Tomlinson, Donghui Jeong
  97. The effect of local universe constraints on halo abundance and clustering
    Maxwell L. Hutt, Harry Desmond, Julien Devriendt, Adrianne Slyz
  98. 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
  99. Constraining cosmological parameters from N-body simulations with Bayesian Neural Networks
    Hector J. Hortua
  100. Detection of spatial clustering in the 1000 richest SDSS DR8 redMaPPer clusters with Nearest Neighbor distributions
    Yunchong Wang, Arka Banerjee, Tom Abel
  101. One-point statistics matter in extended cosmologies
    Alex Gough, Cora Uhlemann
  102. Cosmology with cosmic web environments I. Real-space power spectra
    Tony Bonnaire, Nabila Aghanim, Joseph Kuruvilla, Aurélien Decelle
  103. The Information Content of Projected Galaxy Fields
    Lucas Porth, Gary M. Bernstein, Robert E. Smith, Abigail J. Lee
  104. Cosmology and neutrino mass with the Minimum Spanning Tree
    Krishna Naidoo, Elena Massara, Ofer Lahav
  105. The Covariance of Squeezed Bispectrum Configurations
    Matteo Biagetti, Lina Castiblanco, Jorge Noreña, Emiliano Sefusatti
  106. NECOLA: Towards a Universal Field-level Cosmological Emulator
    Neerav Kaushal, Francisco Villaescusa-Navarro, Elena Giusarma, Yin Li, Conner Hawry, Mauricio Reyes
  107. The smearing scale in Laguerre reconstructions of the correlation function
    Farnik Nikakhtar, Ravi K. Sheth, Idit Zehavi
  108. Cosmology with the kinetic Sunyaev-Zeldovich effect: Independent of the optical depth and \(\sigma_8\)
    Joseph Kuruvilla
  109. Creating Jackknife and Bootstrap estimates of the covariance matrix for the two-point correlation function
    Faizan G. Mohammad, Will J. Percival
  110. 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
  111. Towards an Optimal Estimation of Cosmological Parameters with the Wavelet Scattering Transform
    Georgios Valogiannis, Cora Dvorkin
  112. Beware of Fake \(\nu s\) : The Effect of Massive Neutrinos on the Non-Linear Evolution of Cosmic Structure
    Adrian E. Bayer, Arka Banerjee, Uros Seljak
  113. The effects of peculiar velocities on the morphological properties of large scale structures
    Aoxiang Jiang, Wei Liu, Wenjuan Fang, Wen Zhao
  114. Analytic Gaussian Covariance Matrices for Galaxy N-Point Correlation Functions
    Jiamin Hou, Robert N. Cahn, Oliver H.E. Philcox, Zachary Slepian
  115. Modeling Nearest Neighbor distributions of biased tracers using Hybrid Effective Field Theory
    Arka Banerjee, Nickolas Kokron, Tom Abel
  116. 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
  117. 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
  118. 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
  119. Clustering in Massive Neutrino Cosmologies via Eulerian Perturbation Theory
    Alejandro Aviles, Arka Banerjee, Gustavo Niz, Zachary Slepian
  120. CARPool Covariance: Fast, unbiased covariance estimation for large-scale structure observables
    Nicolas Chartier, Benjamin D. Wandelt
  121. Extracting cosmological parameters from N-body simulations using machine learning techniques
    Andrei Lazanu
  122. Unsupervised Resource Allocation with Graph Neural Networks
    Miles Cranmer, Peter Melchior, Brian Nord
  123. Normalizing flows for random fields in cosmology
    Adam Rouhiainen, Utkarsh Giri, Moritz Münchmeyer
  124. Joint analysis of anisotropic power spectrum, bispectrum and trispectrum: application to N-body simulations
    Davide Gualdi, Hector Gil-Marin, Licia Verde
  125. 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
  126. Detecting the radiative decay of the cosmic neutrino background with line-intensity mapping
    Jose Luis Bernal, Andrea Caputo, Francisco Villaescusa-Navarro, Marc Kamionkowski
  127. Information content in mean pairwise velocity and mean relative velocity between pairs in a triplet
    Joseph Kuruvilla, Nabila Aghanim
  128. 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
  129. Information Content of Higher-Order Galaxy Correlation Functions
    Lado Samushia, Zachary Slepian, Francisco Villaescusa-Navarro
  130. Cosmological cross-correlations and nearest neighbor distributions
    Arka Banerjee, Tom Abel
  131. Learning the Evolution of the Universe in N-body Simulations
    Chang Chen, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, Anthony Pullen
  132. Constraining \(M_\nu\) with the Bispectrum II: The Total Information Content of the Galaxy Bispectrum
    ChangHoon Hahn, Francisco Villaescusa-Navarro
  133. 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
  134. Minkowski functionals and the nonlinear perturbation theory in the large-scale structure: second-order effects
    Takahiko Matsubara, Chiaki Hikage, Satoshi Kuriki
  135. The unequal-time matter power spectrum: impact on weak lensing observables
    Lucia F. de la Bella, Nicolas Tessore, Sarah Bridle
  136. Exploring KSZ velocity reconstruction with N-body simulations and the halo model
    Utkarsh Giri, Kendrick M. Smith
  137. Modeling the Marked Spectrum of Matter and Biased Tracers in Real- and Redshift-Space
    Oliver H.E. Philcox, Alejandro Aviles, Elena Massara
  138. 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
  139. Matter trispectrum: theoretical modelling and comparison to N-body simulations
    Davide Gualdi, Sergi Novell, Héctor Gil-Marín, Licia Verde
  140. The impact of massive neutrinos on halo assembly bias
    Titouan Lazeyras, Francisco Villaescusa-Navarro, Matteo Viel
  141. Capturing the Cosmic Web for Cosmology
    Krishna Naidoo
  142. Nearest Neighbor distributions: new statistical measures for cosmological clustering
    Arka Banerjee, Tom Abel
  143. 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
  144. A Lagrangian Perturbation Theory in the presence of massive neutrinos
    Alejandro Aviles, Arka Banerjee
  145. Discovering Symbolic Models from Deep Learning with Inductive Biases
    Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, Shirley Ho
  146. What does the marked power spectrum measure? Insights from perturbation theory
    Oliver H.E. Philcox, Elena Massara, David N. Spergel
  147. New Interpretable Statistics for Large Scale Structure Analysis and Generation
    E. Allys, T. Marchand, J.-F. Cardoso, F. Villaescusa-Navarro, S. Ho, S. Mallat
  148. A Faster Fourier Transform? Computing Small-Scale Power Spectra and Bispectra for Cosmological Simulations in \(\mathcal{O}(N^2)\) Time
    Oliver H.E. Philcox
  149. 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
  150. What Can We Learn by Combining the Skew Spectrum and the Power Spectrum?
    Ji-Ping Dai, Licia Verde, Jun-Qing Xia
  151. 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
  152. Super-resolution emulator of cosmological simulations using deep physical models
    Doogesh Kodi Ramanah, Tom Charnock, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
  153. 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
  154. 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
  155. Learning neutrino effects in Cosmology with Convolutional Neural Networks
    Elena Giusarma, Mauricio Reyes Hurtado, Francisco Villaescusa-Navarro, Siyu He, Shirley Ho, ChangHoon Hahn
  156. Constraining \(M_\nu\) with the bispectrum. Part I. Breaking parameter degeneracies
    ChangHoon Hahn, Francisco Villaescusa-Navarro, Emanuele Castorina, Roman Scoccimarro
  157. Weighing neutrinos with the halo environment
    Arka Banerjee, Emanuele Castorina, Francisco Villaescusa-Navarro, Travis Court, Matteo Viel
  158. Anisotropic halo assembly bias and redshift-space distortions
    Andrej Obuljen, Neal Dalal, Will J. Percival
  159. 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