Publications

Interpretable Neural Marked Statistics for Cosmological Inference

Federico Semenzato, Benjamin D. Wandelt, Michele Liguori, Alvise Raccanelli

2606.11295
Augmented Correlation Functions for Spectroscopic Galaxy Surveys

Davide Bianchi

2605.30305
Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction

Tilman Troster, David Mirkovic, Veronika Oehl, Arne Thomsen

2605.21483
First detection of the moving lens effect with ACT and DESI LS

Selim C. Hotinli, Kendrick M. Smith, Simone Ferraro, Ali Beheshti, Arthur Kosowsky, Elena Pierpaoli, Emmanuel Schaan

2605.18938
Separate Universe Super-Resolution Emulator

Dennis Fremstad, Julian Adamek, David F. Mota

2605.09004
Efficient estimators for power spectrum and bispectrum multipole measurements

Yunchen Xie, Ruiyang Zhao, Gan Gu, Xiaoma Wang, Xiaoyong Mu, Yuting Wang, Gong-Bo Zhao, Florian Beutler, John A. Peacock

2605.04864
Caps-analyzer: a tool for investigating the structure of the universe

Chris Wayman

Master thesis
Coverage is not enough: Frequentist tests of simulation-based inference for primordial non-Gaussianity

Toka Alokda, Cristiano Porciani, Alexander Eggemeier

2605.00980
The functional form of galaxy and halo luminosity and mass functions

Amelia Ford, Harry Desmond, Deaglan J Bartlett, Pedro G Ferreira

2604.23236
MG-NECOLA: A Field-Level Emulator for f(R) Gravity and Massive Neutrino Cosmologies

J. Bayron Orjuela-Quintana, Mauricio Reyes, Elena Giusarma, Marco Baldi, Neerav Kaushal, César A. Valenzuela-Toledo

2604.19613
Efficiently emulating distribution functions in gigaparsec volumes for varying cosmological parameters

Christopher C. Lovell, Max E. Lee, William J. Roper, Daniel Angles-Alcazar, Shy Genel, Shivam Pandey, Francisco Villaescusa-Navarro

2604.17981
If at First You Don’t Succeed, Trispectrum: I. Estimating the Matter Power Spectrum Covariance with Higher-Order Statistics

Samuel Goldstein, Kendrick M. Smith, Utkarsh Giri, Moritz Munchmeyer

2604.18581
Signatures of Massive Neutrinos in the Cosmic Web via Persistent Homology

Hogyun Yu, Michael Michaux, Donghyun Kim, Changhee Song, Ingyu Yun, Donghyeon Lee, Yoonyoung Lee, Graziano Rossi

2604.16853
The Cosmic Web and Its Filaments: Neutrino Mass from Topology and Persistent Homology

Graziano Rossi, Hogyun Yu, Michael Michaux

2604.09148
New Machine Learning Algorithms to Study the Large-Scale Structure of the Universe

Claudia Crastolla

Master thesis
Lagrangian Bias as a Gaussian Random Field

Arka Banerjee

2604.00097
Enhancing cosmological constraints with nonlinear tanh transformations of Hermite-Gaussian Derivative fields

Zhiwei Min, Ye Ma, Zhujun Jiang, Jiacheng Ding, Fenfen Yin, Le Zhang, Xiaodong Li

2603.22797
Cosmology as an Optimisation Problem

T. Lucas Makinen

PhD thesis
Field-Level Inference of Primordial Non-Gaussianity with the Quijote Simulation Suite

Adam Andrews, Jens Jasche, Guilhem Lavaux, William Coulton, Francisco Villaescusa-Navarro, Marco Baldi, Drew Jamieson, Gabriel Jung, Dionysios Karagiannis, Florent Leclercq, Michele Liguori, Marco Marinucci, Benjamin Wandelt

2603.20855
Morphological Signatures of Gravitational Evolution, Redshift-Space Distortions, and Massive Neutrinos in Large-Scale Structure

Priya Goyal, Stephen Appleby, Pravabati Chingangbam, Changbom Park

2603.19734
From language models to cosmic structures: A geometric perspective

Viswanathan, K.

PhD thesis
Training-Free Generative Modeling via Kernelized Stochastic Interpolants

Florentin Coeurdoux, Etienne Lempereur, Nathanael Cuvelle-Magar, Thomas Eboli, Stéphane Mallat, Anastasia Borovykh, Eric Vanden-Eijnden

2602.20070
MGD: Moment Guided Diffusion for Maximum Entropy Generation

Etienne Lempereur, Nathanaël Cuvelle–Magar, Florentin Coeurdoux, Stéphane Mallat, Eric Vanden-Eijnden

2602.17211
MadEvolve: Evolutionary Optimization of Cosmological Algorithms with Large Language Models

Tianyi Li, Shihui Zang, Moritz Munchmeyer

2602.15951
Bayesian Cosmic Void Finding with Graph Flows

Leander Thiele

2602.14630
Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe

Md. Khairul Islam, Zeyu Xia, Ryan Goudjil, Jialu Wang, Arya Farahi, Judy Fox

2602.10172
ELUCID-DESI I: A Parallel MPI Implementation of the Initial Condition Solver for Large-Scale Reconstruction Simulations

Wensheng Hong, Xiaohu Yang, Junde Li, Huiyuan Wang, Zhao Chen, Hong-Ming Zhu, Qingyang Li, Yizhou Gu, Youcai Zhang, Feng Shi, Jiaxin Han, Yu Yu, Zhongxu Zhai

2602.06463
Bayesian imaging inverse problem with scattering transform

Sebastien Pierre, Erwan Allys, Pablo Richard, Roman Soletskyi, Alexandros Tsouros

2602.05816
Weak Lensing Low Multipoles

Albert Bonnefous, Roya Mohayaee

2602.04504
The era of precision cosmology with voids

Sofia Contarini, Giovanni Verza, Alice Pisani

2601.14362
An efficient model of cosmology dependence in the covariance matrix of the matter power spectrum

Theodore Steele, Robert Smith, Roisin O’Connor

2601.13245
Revisiting the Great Attractor: The Local Group’s streamline trajectory, cosmic velocity and dynamical fate

Richard Stiskalek, Harry Desmond, Stuart McAlpine, Guilhem Lavaux, Jens Jasche, Michael J. Hudson

2601.08524
OmniCosmos: Transferring Particle Physics Knowledge Across the Cosmos

Vinicius Mikuni, Ibrahim Elsharkawy, Benjamin Nachman

2512.24422
The imprints of massive neutrinos on the 3-point correlation function of large-scale structures

Andrea Labate, Massimo Guidi, Michele Moresco, Alfonso Veropalumbo

2512.16992
Local Nonlinear Transforms effectively Reveal Primordial Information in Large-Scale Structure

Yun Wang, Hao-Ran Yu, Yu Yu, Ping He

2512.12304
Primordial non-Gaussianity – Fast simulations and persistent summary statistics

Juan Calles, Gabriella Contardo, Jorge Noreña, Jacky H. T. Yip, Gary Shiu

2512.09852
Optimal information extraction from cosmological summary statistics with neural networks

Nicola Zuccotti

Tesi di Laurea
Counting voids and filaments: Betti Curves as a Powerful Probe for Cosmology

Jiayi Li, Cheng Zhao

2512.07236
Equilateral non-Gaussian Bias at the Field Level

Divij Sharma, James M. Sullivan, Kazuyuki Akitsu, Mikhail M. Ivanov

2511.14677
Disentangling Massive Neutrino Cosmologies with Higher-Order Clustering Statistics

Andrea Labate

Graduation thesis
Learning Cosmology from Nearest Neighbour Statistics

Atrideb Chatterjee, Arka Banerjee, Francisco Villaescusa-Navarro, Tom Abel

2511.13393
Slow neutrinos: non-linearity and momentum-space emulation

Amol Upadhye, Yin Li

2511.09945
Probing cosmic web structures with generative models

M. Noor, T. Bonnaire, A. Decelle and N. Aghanim

article
Quantifying Weighted Morphological Content of Large-Scale Structures via Simulation-Based Inference

M. H. Jalali Kanafi, S. M. S. Movahed

2511.03636
MG-NECOLA: Fast Neural Emulators for Modified Gravity Cosmologies

J. Bayron Orjuela-Quintana, Mauricio Reyes, Elena Giusarma, Francisco Villaescusa-Navarro, Neerav Kaushal, Cesar A. Valenzuela-Toledo

2510.20086
Transfer Learning Beyond the Standard Model

Veena Krishnaraj, Adrian E. Bayer, Christian Kragh Jespersen, Peter Melchior

2510.19168
Hierarchical summaries for primordial non-Gaussianities

M.S. Cagliari, A. Bairagi, B. Wandelt

2510.12715
Constraining cosmology with higher-order summary statistics of galaxies: a bispectrum & 3PCF study and application to DESI DR1

Farshad Kamalinejad

PhD thesis
Reconstructing the local density field with combined convolutional and point cloud architecture

Baptiste Barthe-Gold, Nhat-Minh Nguyen, Leander Thiele

2510.08573
Control variates from Eulerian and Lagrangian perturbation theory: Application to the bispectrum

Nickolas Kokron, Shi-Fan Chen

2510.07375
Parameter sensitivity of cosmic pairwise velocities in the non-linear regime of structure formation

Jorge Enrique Garcia-Farieta, Hector J. Hortua

2509.15223
Parity in Composite-Field Galaxy Correlators

Zucheng Gao, Azadeh Moradinezhad Dizgah, Zvonimir Vlah

2509.13207
On the extraction of Alcock-Paczynski signal from voids: a novel approach via reconstruction

G. Degni, E. Sarpa, M. Aubert, E. Branchini, A. Pisani, H.M. Courtois

2509.08884
PatchNet: A hierarchical approach for neural field-level inference from Quijote Simulations

Anirban Bairagi, Benjamin Wandelt

2509.03165
The Impact of Spectroscopic Redshift Errors on Cosmological Measurements

Shengyu He, Jiaxi Yu, Antoine Rocher, Daniel Forero-Sanchez, Jean-Paul Kneib, Cheng Zhao, Etienne Burtin, Jiamin Hou

2508.21182
Score Matching on Large Geometric Graphs for Cosmology Generation

Diana-Alexandra Onutu, Yue Zhao, Joaquin Vanschoren, Vlado Menkovski

2508.16990
The Mass and Clustering of Dynamical Halos

Edgar M. Salazar

PhD Thesis
Power Spectrum, Bispectrum, 2- and 3-Point Correlation Function, and Beyond

Zachary Slepian, Farshad Kamalinejad, Alessandro Greco

2508.06762
From Theory to Forecast: Neutrino Mass Effects on Mode-Coupling Kernels and Their Observational Implications

Farshad Kamalinejad, Zachary Slepian

2508.06759
𝙶𝙴𝙽𝙶𝙰𝚁𝚂: Accurate non-Gaussian initial conditions with arbitrary bispectrum for N-body simulations

Emanuele Fondi, Licia Verde, Marco Baldi, William Coulton, Francisco Villaescusa-Navarro, Benjamin Dan Wandelt

2508.01855
Reanalyzing DESI DR1: 1. ΛCDM Constraints from the Power Spectrum and Bispectrum

Anton Chudaykin, Mikhail M. Ivanov, Oliver H. E. Philcox

2507.13433
Dark Energy and Void Dynamics

Enrico Marchesini

Bachelar thesis
From Redshift to Real Space: Combining Linear Theory With Neural Networks

Edoardo Maragliano, Punyakoti Ganeshaiah Veena, Giulia Degni, Enzo Franco Branchini

2507.11462
Non-Gaussian Expansion of Minkowski Tensors in Redshift Space

Stephen Appleby, Christophe Pichon, Pravabati Chingangbam, Dmitri Pogosyan, Changbom Park

2507.10091
CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning

Ningyuan Huang, Richard Stiskalek, Jun-Young Lee, Adrian E. Bayer, Charles C. Margossian, Christian Kragh Jespersen, Lucia A. Perez, Lawrence K. Saul, Francisco Villaescusa-Navarro

2507.03707
Harnessing the Power of Deep Learning for Astrophysical Discoveries

Yong Xu Zhang

PhD thesis
CSST Cosmological Emulator II: Generalized Accurate Halo Mass Function Emulation

Zhao Chen, Yu Yu

2506.09688
Power Spectrum Emulators from Neural Networks and Tree-Based Methods

Andrei Lazanu

2506.07514
Wonderings on Wiggly Bispectra: Non-linear Evolution and Reconstruction of Oscillations in the Squeezed Bispectrum

Samuel Goldstein, Oliver H. E. Philcox, Emanuele Fondi, William R. Coulton

2505.13443
Modeling Galaxy Surveys with Hybrid SBI

Gemma Zhang, Chirag Modi, Oliver H. E. Philcox

2505.13591
Turning dispersion into signal: density-split analyses of pairwise velocities

Aritra Kumar Gon, Yan-Chuan Cai

2505.00608
The marked power spectrum of cosmological large scale structure

Luca Fusaro

Master thesis
Correcting for interloper contamination in the power spectrum with neural networks

Marina S. Cagliari, Azadeh Moradinezhad Dizgah, Francisco Villaescusa-Navarro

2504.06919
The AI Cosmologist I: An Agentic System for Automated Data Analysis

Adam Moss

2504.03424
Initial Conditions from Galaxies: Machine-Learning Subgrid Correction to Standard Reconstruction

Liam Parker, Adrian E. Bayer, Uros Seljak

2504.01092
Local Primordial non-Gaussian Bias from Time Evolution

James M. Sullivan, Uros Seljak

2503.21736
How many simulations do we need for simulation-based inference in cosmology?

Anirban Bairagi, Benjamin Wandelt, Francisco Villaescusa-Navarro

2503.13755
The Power of the Cosmic Web

James Sunseri, Adrian E. Bayer, Jia Liu

2503.11778
Redshift-Space Distortions in Massive Neutrinos Cosmologies

Francesco Verdiani, Emilio Bellini, Chiara Moretti, Emiliano Sefusatti, Carmelita Carbone, Matteo Viel

2503.06655
Neural Network Reconstruction of Non-Gaussian Initial Conditions from Dark Matter Halos

Jelte Bottema, Thomas Floss, P. Daniel Meerburg

2502.11846
Cosmological information content of Betti curves and k-nearest neighbor distributions

Aaron Ouellette, Gilbert Holder

2502.09709
Geometric Interpretations of the k-Nearest Neighbour Distributions

Kwanit Gangopadhyay, Arka Banerjee, Tom Abel

2502.07713
Cosmological Inference with Cosmic Voids and Neural Network Emulators

Kai Lehman, Nico Schuster, Luisa Lucie-Smith, Nico Hamaus, Christopher T. Davies, Klaus Dolag

2502.05262
Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation

Oleg Savchenko, Guillermo Franco Abellán, Florian List, Noemi Anau Montel, Christoph Weniger

2502.03139
Cosmology with Persistent Homology: Parameter Inference via Machine Learning

Juan Calles, Jacky H. T. Yip, Gabriella Contardo, Jorge Noreña, Adam Rouhiainen, Gary Shiu

2412.15405
One-point matter pdf’s beyond tophat filters

Alexander M. Kayssi

Master thesis
Probing massive neutrinos and modified gravity with redshift-space morphologies and anisotropies of large-scale structure

Wei Liu, Liang Wu, Francisco Villaescusa-Navarro, Marco Baldi, Georgios Valogiannis, Wenjuan Fang

2412.05662
Testing f(R) Gravity from Cosmic Shear Measurements

Jiachen Bai, Jun-Qing Xia, Gong-Bo Zhao

2412.04807
Inspecting signatures of parity violation with angular redshift fluctuations

Matteo Santini

Master Thesis
The Millennium and Astrid galaxies in effective field theory: comparison with galaxy-halo connection models at the field level

Mikhail M. Ivanov, Carolina Cuesta-Lazaro, Andrej Obuljen, Michael W. Toomey, Yueying Ni, Sownak Bose, Boryana Hadzhiyska, César Hernández-Aguayo, Lars Hernquist, Rahul Kannan, Volker Springel

2412.0188
Fast implementation of nonlinear perturbation theory statistics including galaxy bias and redshift-space distortion

Joseph Tomlinson

PhD thesis
Probing primordial non-Gaussianity by reconstructing the initial conditions

Xinyi Chen, Nikhil Padmanabhan, Daniel J. Eisenstein

2412.00968
Towards Reliable Simulation-based Inference

Arnaud Delaunoy

PhD thesis
De-baryonifying halos via optimal transport

Leander Thiele

2411.18399
Cosmic Structure Formation in the Non-linear Regime: Beyond Gaussian Statistics and Standard Cosmologies

Alex Gough

PhD thesis
Cosmological Analysis with Calibrated Neural Quantile Estimation and Approximate Simulators

He Jia

2411.14748
The constraining power of the Marked Power Spectrum: an analytical study

Marco Marinucci, Gabriel Jung, Michele Liguori, Andrea Ravenni, Francesco Spezzati, Adam Andrews, Marco Baldi, William R. Coulton, Dionysios Karagiannis, Francisco Villaescusa-Navarro, Benjamin Wandlet

2411.14377
Convolutional Vision Transformer for Cosmology Parameter Inference

Yash Gondhalekar, Kana Moriwaki

2411.14392
A revisited Correction to the Halo Mass Function for local-type Primordial non-Gaussianity

Luca Fiorino, Sofia Contarini, Federico Marulli, Ariel G. Sanchez, Marco Baldi, Andrea Fiorilli, Lauro Moscardini

2410.21457
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing

Julia Balla, Siddharth Mishra-Sharma, Carolina Cuesta-Lazaro, Tommi Jaakkola, Tess Smidt

2410.20516
Modelling the covariance matrix for the power spectra before and after the BAO reconstruction

Ruiyang Zhao, Kazuya Koyama, Yuting Wang, Gong-Bo Zhao

2410.18524
Local Primordial Non-Gaussian Bias at the Field Level

James M. Sullivan, Shi-Fan Chen

2410.18039
Mean-Field Simulation-Based Inference for Cosmological Initial Conditions

Oleg Savchenko, Florian List, Guillermo Franco Abellán, Noemi Anau Montel, Christoph Weniger

2410.15808
syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy

Ce Sui, Deaglan J. Bartlett, Shivam Pandey, Harry Desmond, Pedro G. Ferreira, Benjamin D. Wandelt

2410.14623
Simulation-based inference with scattering representations: scattering is all you need

Kiyam Lin, Benjamin Joachimi, Jason D. McEwen

2410.11883
Psi-GAN: A power-spectrum-informed generative adversarial network for the emulation of large-scale structure maps across cosmologies and redshifts

Prabh Bhambra, Benjamin Joachimi, Ofer Lahav, Davide Piras

2410.07349
LOO-PIT: A sensitive posterior test

Alan B. H. Nguyen, Marco Bonici, Glen McGee, Will J. Percival

2410.03507
Testing the robustness of the BAO determination in the presence of massive neutrinos

Adriana Nadal-Matosas, Héctor Gil-Marín, Licia Verde

2410.01897
Impact of Redshift Space Distortion on Persistent Homology of cosmic matter density field

Fatemeh Abedi, Mohammad Hossein Jalali Kanafi, S.M.S. Movahed

2410.01751
A Tale of Two Fields: Neural Network-Enhanced non-Gaussianity Search with Halos

Yurii Kvasiuk, Moritz Münchmeyer, Kendrick Smith

2410.01007
Constraining Cosmology with Simulation-based inference and Optical Galaxy Cluster Abundance

Moonzarin Reza, Yuanyuan Zhang, Camille Avestruz, Louis E. Strigari, Simone Shevchuk, Francisco Villaescusa-Navarro

2409.20507
Cosmology on point: modelling spectroscopic tracer one-point statistics

Beth McCarthy Gould, Lina Castiblanco, Cora Uhlemann, Oliver Friedrich

2409.18182
Constraining Primordial Non-Gaussianity with Density-Split Clustering

James Morawetz, Enrique Paillas, Will J. Percival

2409.13583
Teaching dark matter simulations to speak the halo language

Shivam Pandey, Francois Lanusse, Chirag Modi, Benjamin D. Wandelt

2409.11401
Full-shape analysis with simulation-based priors: cosmological parameters and the structure growth anomaly

Mikhail M. Ivanov, Andrej Obuljen, Carolina Cuesta-Lazaro, Michael W. Toomey

2409.10609
CHARM: Creating Halos with Auto-Regressive Multi-stage networks

Shivam Pandey, Chirag Modi, Benjamin D. Wandelt, Deaglan J. Bartlett, Adrian E. Bayer, Greg L. Bryan, Matthew Ho, Guilhem Lavaux, T. Lucas Makinen, Francisco Villaescusa-Navarro

2409.09124
Map-level baryonification: Efficient modelling of higher-order correlations in the weak lensing and thermal Sunyaev-Zeldovich fields

Dhayaa Anbajagane, Shivam Pandey, Chihway Chang

2409.03822
Void where statistically prohibited: constraining gravity with cosmic voids and addressing statistical noise within simulation based Fisher forecasts

Christopher Wilson

PhD thesis
Novel Techniques for the Calibration of Systematics in Next Generation Galaxy Surveys

Alan Bao-Huy Nguyen

Master thesis
A skewed perspective on the universe: advancements, challenges and prospects in the hunt for primordial non-Gaussianity

Thomas Floss

PhD thesis
Pair Counting without Binning – A New Approach to Correlation Functions in Clustering Statistics

Shiyu Yue, Longlong Feng, Wenjie Ju, Jun Pan, Zhiqi Huang, Feng Fang, Zhuoyang Li, Yan-Chuan Cai, Weishan Zhu

2408.16398
Low-Budget Simulation-Based Inference with Bayesian Neural Networks

Arnaud Delaunoy, Maxence de la Brassinne Bonardeaux, Siddharth Mishra-Sharma, Gilles Louppe

2408.15136
Capturing primordial non-Gaussian signatures in the late Universe by multi-scale extrema of the cosmic log-density field

Yun Wang, Ping He

2408.13876
The streaming model for the three-point correlation function and its connection to standard perturbation theory

Anna Pugno, Alexander Eggemeier, Cristiano Porciani, Joseph Kuruvilla

2408.10307
Field-level Emulation of Cosmic Structure Formation with Cosmology and Redshift Dependence

Drew Jamieson, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, David N. Spergel

2408.07699
Towards unveiling the large-scale nature of gravity with the wavelet scattering transform

Georgios Valogiannis, Francisco Villaescusa-Navarro, Marco Baldi

2407.18647
Interpretable and physics-informed emulator for the linear matter power spectrum from machine learning

J. Bayron Orjuela-Quintana, Domenico Sapone, Savvas Nesseris

2407.16640
https://www.teses.usp.br/teses/disponiveis/43/43134/tde-15072024-101341/publico/tesenatalisolermatubarodesanti.pdf

Natali de Santi

PhD thesis
Extracting cosmological information at non-linear scales using machine learning

Surpio Dubey

Master Thesis
Massive-ish Particles from Small-ish Scales: Non-Perturbative Techniques for Cosmological Collider Physics from Large-Scale Structure Surveys

Samuel Goldstein, Oliver H. E. Philcox, J. Colin Hill, Lam Hui

2407.08731
Conservative Simulation-Based Inference with Bayesian Deep Learning

Maxence de la Brassinne Bonardeaux

Master thesis
Cosmological simulations of scale-dependent primordial non-Gaussianity

Marco Baldi, Emanuele Fondi, Dionysios Karagiannis, Lauro Moscardini, Andrea Ravenni, William R. Coulton, Gabriel Jung, Michele Liguori, Marco Marinucci, Licia Verde, Francisco Villaescusa-Navarro, Banjamin D. Wandelt

2407.06641
Baryon Acoustic Oscillations analyses with Density-Split Statistics

Tengpeng Xu, Yan-Chuan Cai, Yun Chen, Mark Neyrinck, Liang Gao, Qiao Wang

2407.02210
Alcock-Paczynski effect on void-finding: Implications for void-galaxy cross-correlation modelling

Sladana Radinovic, Hans A. Winther, Seshadri Nadathur, Will J. Percival, Enrique Paillas, Tristan Sohrab Fraser, Elena Massara, Alex Woodfinden

2407.02699
The Impact of Non-Gaussian Primordial Tails on Cosmological Observables

William R. Coulton, Oliver H. E. Philcox, Francisco Villaescusa-Navarro

2406.15546
Fisher’s Mirage: Noise Tightening of Cosmological Constraints in Simulation-Based Inference

Christopher Wilson, Rachel bean

2406.06067
Dynamics-based halo model for large scale structure

Edgar M. Salazar, Eduardo Rozo, Rafael García, Nickolas Kokron, Susmita Adhikari, Benedikt Diemer, Calvin Osinga

2406.04054
Cosmology from point clouds

Atrideb Chatterjee, Francisco Villaescusa-Navarro

2405.13119
The Significance of Void Shape: Neutrino Mass from Voronoi Void-Halos?

Adrian E. Bayer, Jia Liu, Christina D. Kreisch, Alice Pisani

2405.12302
FREmu: Power Spectrum Emulator for f(R) Gravity

Jiachen Bai, Junqing Xia

2405.05840
Hierarchic Flows to Estimate and Sample High-dimensional Probabilities

Etienne Lempereur, Stephane Mallat

2405.03468
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
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
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
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
Neural network reconstruction of density and velocity fields from the 2MASS Redshift Survey

Robert Lilow, Punyakoti Ganeshaiah Veena, Adi Nusser

2404.02278
Constraining Primordial Non-Gaussianity from Large Scale Structure with the Wavelet Scattering Transform

Matteo Peron, Gabriel Jung, Michele Liguori, Massimo Pietroni

2403.17657
Cosmology with Persistent Homology: a Fisher Forecast

Jacky H. T. Yip, Matteo Biagetti, Alex Cole, Karthik Viswanathan, Gary Shiu

2403.13985
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
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
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
Cosmology at the Field Level with Probabilistic Machine Learning

Adam Rouhiainen

PhD thesis
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
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
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
A point cloud approach to generative modeling for galaxy surveys at the field level

Carolina Cuesta-Lazaro, Siddharth Mishra-Sharma

2311.17141
Constraining Neutrino Cosmologies with Nonlinear Reconstruction

Shi-Hui Zang, Hong-Ming Zhu

2311.16439
Self-calibrating BAO measurements in the presence of Small Displacement Interlopers

Alan B. H. Nguyen, Elena Massara, Will J. Percival

2311.14210
Imprint of massive neutrinos on Persistent Homology of large-scale structure

M. H. Jalali Kanafi, S. Ansarifard, S. M. S. Movahed

2311.13520
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
Analysis of an iterative reconstruction method in comparison of the standard reconstruction method

Xinyi Chen, Nikhil Padmanabhan

2311.09531
Elucidating the impact of massive neutrinos on halo assembly bias

Yunjia Song, Ying Zu

2311.07650
On the range of validity of perturbative models for galaxy clustering and its uncertainty

Giosuè Gambardella, Matteo Biagetti, Chiara Moretti, Emiliano Sefusatti

2311.04608
Evaluating the reconstruction of individual haloes in constrained cosmological simulations

Richard Stiskalek, Harry Desmond, Julien Devriendt, Adrianne Slyz

2310.20672
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
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
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
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
A theoretical view on the T-web statistical description of the cosmic web

Emma Ayçoberry, Alexandre Barthelemy, Sandrine Codis

2310.03548
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
Small-scale signatures of primordial non-Gaussianity in k-Nearest Neighbour cumulative distribution functions

William R. Coulton, Tom Abel, Arka Banerjee

2309.15151
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
Towards an Optimal Cosmological Detection of Neutrino Mass with Bayesian Inference

Adrian Bayer

PhD thesis
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
Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood

Chirag Modi, Oliver H.E. Philcox

2309.10270
Predicting Interloper Fraction with Graph Neural Networks

Elena Massara, Francisco Villaescusa-Navarro, Will J. Percival

2309.05850
The two-loop power spectrum in redshift space

Petter Taule, Mathias Garny

2308.07379
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
Precision cosmology using voids

Alex Woodfinden

PhD thesis
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
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
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
Optimal Transport Reconstruction of Biased Tracers in Redshift Space

Farnik Nikakhtar, Nikhil Padmanabhan, Bruno Lévy, Ravi K. Sheth, Roya Mohayaee

2307.03671
Numerical Studies in Rarefied Gas Dynamics, Cosmological Summary Statistics, and Scalar Field Dark Matter

Alvaro Zamora

PhD thesis
Scattering Spectra Models for Physics

Sihao Cheng, Rudy Morel, Erwan Allys, Brice Menard, Stephane Mallat

2306.17210
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures

Bruno Regaldo-Saint Blancard, Michael Eickenberg

2306.15012
Whispers from the Big Bang: cosmological constraints from galaxy power spectra

Aaron Glanville

PhD thesis
Signatures of a Parity-Violating Universe

William R. Coulton, Oliver H. E. Philcox, Francisco Villaescusa-Navarro

2306.11782
Effective cosmic density field reconstruction with convolutional neural network

Xinyi Chen, Fangzhou Zhu, Sasha Gaines, Nikhil Padmanabhan

2306.10538
On approximations of the redshift-space bispectrum and power spectrum multipoles covariance matrix

Sergi Novell-Masot, Héctor Gil-Marín, Licia Verde

2306.03137
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
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
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
How to estimate Fisher matrices from simulations

William R. Coulton, Benjamin D. Wandelt

2305.08994
Improving constraints on primordial non-Gaussianity using neural network based reconstruction

Thomas Flöss, P. Daniel Meerburg

2305.07018
Constraining fNL using the Large-Scale Modulation of Small-Scale Statistics

Utkarsh Giri, Moritz Münchmeyer, Kendrick M. Smith

2305.03070
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
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
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
Predicting the Initial Conditions of the Universe using Deep Learning

Vaibhav Jindal, Drew Jamieson, Albert Liang, Aarti Singh, Shirley Ho

2303.13056
Probing massive neutrinos with the Minkowski functionals of the galaxy distribution

Wei Liu, Aoxiang Jiang, Wenjuan Fang

2302.08162
Cosmological Properties of the Cosmic Web

Majd Shalak, Jean-Michel Alimi

Phys. Sci. Forum 2023
Perturbation-theory informed integrators for cosmological simulations

Florian List, Oliver Hahn

2301.09655
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)
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks

Héctor J. Hortúa, Luz Ángela García, Leonardo Castañeda C

2301.03991
Window function convolution with deep neural network models

Davit Alkhanishvili, Cristiano Porciani, Emiliano Sefusatti

2212.09742
Machine learning cosmology from void properties

Bonny Y. Wang, Alice Pisani, Francisco Villaescusa-Navarro, Benjamin D. Wandelt

2212.06860
Cosmology with cosmic web environments II. Redshift-space auto and cross power spectra

Tony Bonnaire, Joseph Kuruvilla, Nabila Aghanim, Aurélien Decelle

2212.06338
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
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
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
Cosmological Information in Skew Spectra of Biased Tracers in Redshift Space

Jiamin Hou, Azadeh Moradinezhad Dizgah, ChangHoon Hahn, Elena Massara

2210.12743
New applications of Graph Neural Networks in Cosmology

Farida Farsian, Federico Marulli, Lauro Moscardini, Carlo Giocoli

2210.11487
Tracer-Field Cross-Correlations with k-Nearest Neighbor Distributions

Arka Banerjee, Tom Abel

2210.05140
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
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
Bayesian evidence comparison for distance scale estimates

Aseem Paranjape, Ravi K. Sheth

2209.00668
Minkowski Tensors in Redshift Space – Beyond the Plane Parallel Approximation

Stephen Appleby, Joby P. Kochappan, Pravabati Chingangbam, Changbom Park

2208.10164
Correcting for small-displacement interlopers in BAO analyses

Setareh Foroozan, Elena Massara, Will J. Percival

2208.05001
Fast computation of non-linear power spectrum in cosmologies with massive neutrinos

Hernán E. Noriega, Alejandro Aviles, Sebastien Fromenteau, Mariana Vargas-Magaña

2208.02791
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
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
The Disordered Heterogeneous Universe: Galaxy Distribution and Clustering Across Length Scales

Oliver H. E. Philcox, Salvatore Torquato

2207.00519
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
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
Primordial non-Gaussianity and non-Gaussian Covariance

Thomas Floss, Matteo Biagetti, P. Daniel Meerburg

2206.10458
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
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
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
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
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
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
Robust Neural Network-Enhanced Estimation of Local Primordial Non-Gaussianity

Utkarsh Giri, Moritz Münchmeyer, Kendrick M. Smith

2205.12964
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
Improving cosmological covariance matrices with machine learning

Natali S.M. de Santi, L. Raul Abramo

2205.10881
Fast and realistic large-scale structure from machine-learning-augmented random field simulations

Davide Piras, Benjamin Joachimi, Francisco Villaescusa-Navarro

2205.07898
Distinguishing Dirac vs. Majorana Neutrinos: a Cosmological Probe

Beatriz Hernandez-Molinero, Raul Jimenez, Carlos Pena-Garay

2205.00808
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
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
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
Bayesian Control Variates for optimal covariance estimation with pairs of simulations and surrogates

Nicolas Chartier, Benjamin D. Wandelt

2204.03070
Probing massive neutrinos with the Minkowski functionals of large-scale structure

Wei Liu, Aoxiang Jiang, Wenjuan Fang

2204.02945
Perturbation Theory vs Simulation: Quasi-linear Scale, Binning Effect, and Visualization of Bispectrum

Joseph Tomlinson, Donghui Jeong

2204.00668
The effect of local universe constraints on halo abundance and clustering

Maxwell L. Hutt, Harry Desmond, Julien Devriendt, Adrianne Slyz

2203.14724
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
Constraining cosmological parameters from N-body simulations with Bayesian Neural Networks

Hector J. Hortua

2112.11865
Detection of spatial clustering in the 1000 richest SDSS DR8 redMaPPer clusters with Nearest Neighbor distributions

Yunchong Wang, Arka Banerjee, Tom Abel

2112.04502
One-point statistics matter in extended cosmologies

Alex Gough, Cora Uhlemann

2112.04428
Cosmology with cosmic web environments I. Real-space power spectra

Tony Bonnaire, Nabila Aghanim, Joseph Kuruvilla, Aurélien Decelle

2112.03926
The Information Content of Projected Galaxy Fields

Lucas Porth, Gary M. Bernstein, Robert E. Smith, Abigail J. Lee

2111.13702
Cosmology and neutrino mass with the Minimum Spanning Tree

Krishna Naidoo, Elena Massara, Ofer Lahav

2111.12088
The Covariance of Squeezed Bispectrum Configurations

Matteo Biagetti, Lina Castiblanco, Jorge Noreña, Emiliano Sefusatti

2111.05887
NECOLA: Towards a Universal Field-level Cosmological Emulator

Neerav Kaushal, Francisco Villaescusa-Navarro, Elena Giusarma, Yin Li, Conner Hawry, Mauricio Reyes

2111.02441
The smearing scale in Laguerre reconstructions of the correlation function

Farnik Nikakhtar, Ravi K. Sheth, Idit Zehavi

2110.03591
Cosmology with the kinetic Sunyaev-Zeldovich effect: Independent of the optical depth and \(\sigma_8\)

Joseph Kuruvilla

2109.13938
Creating Jackknife and Bootstrap estimates of the covariance matrix for the two-point correlation function

Faizan G. Mohammad, Will J. Percival

2109.07071
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
Towards an Optimal Estimation of Cosmological Parameters with the Wavelet Scattering Transform

Georgios Valogiannis, Cora Dvorkin

2108.07821
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
The effects of peculiar velocities on the morphological properties of large scale structures

Aoxiang Jiang, Wei Liu, Wenjuan Fang, Wen Zhao

2108.03851
Analytic Gaussian Covariance Matrices for Galaxy N-Point Correlation Functions

Jiamin Hou, Robert N. Cahn, Oliver H.E. Philcox, Zachary Slepian

2108.01714
Modeling Nearest Neighbor distributions of biased tracers using Hybrid Effective Field Theory

Arka Banerjee, Nickolas Kokron, Tom Abel

2107.10287
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
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
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
Clustering in Massive Neutrino Cosmologies via Eulerian Perturbation Theory

Alejandro Aviles, Arka Banerjee, Gustavo Niz, Zachary Slepian

2106.13771
CARPool Covariance: Fast, unbiased covariance estimation for large-scale structure observables

Nicolas Chartier, Benjamin D. Wandelt

2106.11718
Extracting cosmological parameters from N-body simulations using machine learning techniques

Andrei Lazanu

2106.11061
Unsupervised Resource Allocation with Graph Neural Networks

Miles Cranmer, Peter Melchior, Brian Nord

2106.09761
Normalizing flows for random fields in cosmology

Adam Rouhiainen, Utkarsh Giri, Moritz Münchmeyer

2105.12024
Joint analysis of anisotropic power spectrum, bispectrum and trispectrum: application to N-body simulations

Davide Gualdi, Hector Gil-Marin, Licia Verde

2104.03976
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
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
Information content in mean pairwise velocity and mean relative velocity between pairs in a triplet

Joseph Kuruvilla, Nabila Aghanim

2102.06709
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
Information Content of Higher-Order Galaxy Correlation Functions

Lado Samushia, Zachary Slepian, Francisco Villaescusa-Navarro

2102.01696
Cosmological cross-correlations and nearest neighbor distributions

Arka Banerjee, Tom Abel

2102.01184
Learning the Evolution of the Universe in N-body Simulations

Chang Chen, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, Anthony Pullen

2012.05472
Constraining \(M_\nu\) with the Bispectrum II: The Total Information Content of the Galaxy Bispectrum

ChangHoon Hahn, Francisco Villaescusa-Navarro

2012.02200
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
Minkowski functionals and the nonlinear perturbation theory in the large-scale structure: second-order effects

Takahiko Matsubara, Chiaki Hikage, Satoshi Kuriki

2012.00203
The unequal-time matter power spectrum: impact on weak lensing observables

Lucia F. de la Bella, Nicolas Tessore, Sarah Bridle

2011.06185
Exploring KSZ velocity reconstruction with N-body simulations and the halo model

Utkarsh Giri, Kendrick M. Smith

2010.07193
Modeling the Marked Spectrum of Matter and Biased Tracers in Real- and Redshift-Space

Oliver H.E. Philcox, Alejandro Aviles, Elena Massara

2010.05914
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
Matter trispectrum: theoretical modelling and comparison to N-body simulations

Davide Gualdi, Sergi Novell, Héctor Gil-Marín, Licia Verde

2009.02290
The impact of massive neutrinos on halo assembly bias

Titouan Lazeyras, Francisco Villaescusa-Navarro, Matteo Viel

2008.12265
Capturing the Cosmic Web for Cosmology

Krishna Naidoo

1829731
Nearest Neighbor distributions: new statistical measures for cosmological clustering

Arka Banerjee, Tom Abel

2007.13342
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
A Lagrangian Perturbation Theory in the presence of massive neutrinos

Alejandro Aviles, Arka Banerjee

2007.06508
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
What does the marked power spectrum measure? Insights from perturbation theory

Oliver H.E. Philcox, Elena Massara, David N. Spergel

2006.10055
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
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
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
What Can We Learn by Combining the Skew Spectrum and the Power Spectrum?

Ji-Ping Dai, Licia Verde, Jun-Qing Xia

2002.09904
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
Super-resolution emulator of cosmological simulations using deep physical models

Doogesh Kodi Ramanah, Tom Charnock, Francisco Villaescusa-Navarro, Benjamin D. Wandelt

2001.05519
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
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
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
Constraining \(M_\nu\) with the bispectrum. Part I. Breaking parameter degeneracies

ChangHoon Hahn, Francisco Villaescusa-Navarro, Emanuele Castorina, Roman Scoccimarro

1909.11107
Weighing neutrinos with the halo environment

Arka Banerjee, Emanuele Castorina, Francisco Villaescusa-Navarro, Travis Court, Matteo Viel

1907.06598
Anisotropic halo assembly bias and redshift-space distortions

Andrej Obuljen, Neal Dalal, Will J. Percival

1906.11823
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