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New Strategies for Extracting Cosmology from Galaxy Surveys - 2nd edition

1–5 Jul 2024
SEXTEN CENTER FOR ASTROPHYSICS RICCARDO GIACCONI
Europe/Rome timezone

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Contribution List

45 out of 45 displayed
  1. 1. Welcome
    01/07/2024, 09:00
  2. 3. Beyond 2pt EFT statistics
    Pierre Zhang (ETH Zurich)
    01/07/2024, 09:10
  3. 43. Evolution mapping: an approach to describe the non-linear density field
    Ariel Sanchez (Max Planck Institute for Extraterrestrial Physics)
    01/07/2024, 10:10
  4. 30. Perturbation Theory Remixed: Improved Nonlinearity Modeling beyond Standard Perturbation Theory
    Zhenyuan Wang (Penn State)
    01/07/2024, 11:10
  5. 27. Fast and accurate galaxy two point correlation function emulation in extended cosmologies
    Agne Semenaite (Swinburne University of Technology)
    01/07/2024, 11:30
  6. 4. EUCLID Galaxy Clustering
    Martin Crocce (Institute for Space Science (ICE-CSIC) Barcelona Spain)
    01/07/2024, 14:00
  7. 29. Large-Scale Modeling of Galaxy Power Spectrum for SPHEREx
    Henry Gebhardt (Caltech), Robin (Yunfei) Wen (California Institute of Technology)
    01/07/2024, 15:00
  8. 31. CMB x LSS Cosmology with the HalfDome simulations
    Adrian Bayer (CCA)
    01/07/2024, 15:30
  9. 23. Simulation-based Forward Modeling Cross-Survey Cross-Correlations with Diffsky
    Andrew Hearin (Argonne National Lab)
    01/07/2024, 16:30
  10. 25. Examining the redshift evolution of the HOD with Differentiable Forward Models
    Gillian Beltz-Mohrmann (Argonne National Laboratory)
    01/07/2024, 17:00
  11. 21. Projection effects in likelihood analyses of galaxy clustering
    Andrea Pezzotta (Max Planck Institut für Extraterrestrische Physik)
    01/07/2024, 17:30
  12. 2. Results from DESI data using BAO and RSD
    Hector Gil Marin (University of Barcelona (ICCUB))
    02/07/2024, 09:00
  13. 19. Observational systematics in galaxy surveys: a DESI perspective
    Rongpu Zhou
    02/07/2024, 10:00
  14. 20. Power spectrum bias due to imaging systematics
    Karim Tanveer
    02/07/2024, 11:00
  15. 26. Precise Cosmological Constraints from BOSS and DESI Galaxy Clustering using the Wavelet Scattering Transform
    Georgios Valogiannis (University of Chicago)
    02/07/2024, 11:30
  16. 7. Higher-order statistics in large-scale structure
    Jiamin Hou (University of Florida / Max-Planck Institute for Extraterrestrial Physics)
    02/07/2024, 14:00
  17. 28. Analytical model for density-split galaxy clustering
    Mathilde Pinon (CEA/Irfu/DPhP)
    02/07/2024, 15:00
  18. 17. Higher orders and Smaller Scales
    Lado Samushia
    02/07/2024, 15:50
  19. 16. The matter-radiation-equality scale: Robustness criterion on ultra-large scales and new insights into the Hubble tension
    Benedict Bahr-Kalus
    02/07/2024, 16:20
  20. 5. Unraveling the Universe with Cosmic Voids
    Alice Pisani (Alice)
    03/07/2024, 09:00
  21. 14. Cosmology with clustering of galaxy clusters
    Alessandra Fumagalli
    03/07/2024, 10:00
  22. 15. Enhanced galaxy clustering analyses with non-perturbative pairwise velocity distributions
    Alexander Eggemeier
    03/07/2024, 11:00
  23. 38. Explainable deep learning models for cosmological structure formation
    Luisa Lucie-Smith (Max Planck Institute for Astrophysics)
    03/07/2024, 11:30
  24. 6. Opportunities and challenges of SBI/ILI approaches to galaxy clustering
    ChangHoon Hahn (Princeton University)
    03/07/2024, 14:00
  25. 13. How much information can be extracted from galaxy clustering at the field level?
    Beatriz Tucci
    03/07/2024, 15:00
  26. 18. Information maximizing persistent homology for halo catalogs
    Karthik Viswanathan
    03/07/2024, 16:00
  27. 24. Towards robust Bayesian inference through implicit priors from simulations
    Simon Ding (Institut d'Astrophysique de Paris (IAP))
    03/07/2024, 16:20
  28. 10. Cosmology in the machine learning era
    Francisco Villaescusa-Navarro
    03/07/2024, 16:40
  29. 40. Parity-odd Power Spectra: Concise Statistics for Cosmological Parity Violation in the Primordial Trispectrum
    Drew Jamieson (Max Planck Institute for Astrophysics)
    04/07/2024, 14:50
  30. 42. Reconstructive approaches to Primordial non-Gaussianity
    Thomas Flöss (University of Groningen)
    04/07/2024, 15:20
  31. 36. Improved Constraints on Local Primordial Non-Gaussianity from BOSS Data with Galaxy Bias
    Jamie Sullivan (UC Berkeley)
    04/07/2024, 16:10
  32. 37. Probing primordial non-Gaussianity by reconstructing the initial conditions with machine learning
    Xinyi Chen (Yale University)
    04/07/2024, 16:30
  33. 33. C3NN: Cosmological Correlator Convolutional Neural Network -- an interpretable machine learning tool for cosmological analyses
    Zhengyangguang Gong (University Observatory Ludwig-Maximilians University of Munich)
    04/07/2024, 16:50
  34. 11. Field Level Inference: Simulation Based versus Bayesian Inference
    Uros Seljak
    05/07/2024, 09:00
  35. 41. Field-level inference of primordial non-Gaussianity with next-generation galaxy surveys
    Adam Andrews (OAS INAF Bologna)
    05/07/2024, 09:30
  36. 39. Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators
    Ludvig Doeser (Stockholm University)
    05/07/2024, 10:20
  37. 45. Field-Level Inference of the BAO Scale with LEFTfield
    Ivana Babić (MPA)
    05/07/2024, 10:40
  38. 35. Amplitude and importance of relativistic contributions to the galaxy bispectrum
    Samantha Rossiter (Università degli Studi di Torino)
  39. 9. Discussion
  40. 8. Discussion: Systematics
  41. 32. Evolution mapping: an approach to describe the non-linear density field
    Ariel Sanchez (Max Planck Institute for Extraterrestrial Physics)
  42. 34. Large-scale Modeling of Galaxy Power Spectrum Multipoles
    Robin (Yunfei) Wen (California Institute of Technology)
  43. 44. Modelling of BAO in Bispectrum
    Jayashree Behera (Kansas State University)
  44. 22. Optimizing the extraction of cosmological information from DESI full shape: Compressed Analysis vs Full Modeling
    Mariana Vargas (INSTITUTO DE FISICA)
  45. 12. Simulation-based models of novel galaxy-clustering statistics
    Sihan Yuan