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 \(\sigma_8\)

     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 \(\nu s\) : 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 \(M_\nu\) 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 \(\mathcal{O}(N^2)\) 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 \(M_\nu\) 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