From one to multi-field inflation
Francis Bernardeau - Institut d'Astrophysique de Paris
17761 - 17772 of 17806 Results
Format results
Cosmological Inference from Galaxy Populations with Machine Learning
Natali de Santi
Galaxies are the primary tracers of the large-scale structure of the Universe and are traditionally used through summary statistics such as correlation functions and power spectra to constrain cosmological models. However, galaxy populations themselves contain rich information through their spatial…
Simulation-based inference from the Lyman-alpha forest 1D power spectrum with CAMELS
Francesco Sinigaglia - Institute for Fundamental Physics of the Universe / SISSA
We perform for the first time full simulation-based inference on the Lyman-$\alpha$ forest 1D power spectrum. In particular, we consider the prediction of the Lyman-$\alpha$ forest $P_{\rm 1D}(k)$ at $2.0
High-redshift galaxies at the field level
James Sullivan - MIT
The future of large-scale structure is at high redshift. In particular, the surveys of the next decade that will be at the vanguard of precision cosmology will target star-forming galaxies at z>2. Field-level inference efforts will, therefore, inevitably turn toward high-redshift samples in the near…
Modeling high-redshift tracers at the field level
Roger de Belsunce - MIT
Current and future high-redshift spectroscopic surveys such as DESI, DESI-II, and Spec-S5 raise the question of how to fully extract the information contained in these datasets. Field-level inference is opening a new frontier in cosmology by enabling analyses that capture the full information…
Robust CMB B-mode analysis with Needlet-ILC and simulation-based inference
Polarized Galactic emission is the foremost challenge for searches for a background of primordial gravitational waves imprinted in the polarization of the CMB. We argue that current methods struggle to address this challenge, either by being overly susceptible to model misspecification, or by…
SPT-3G: Cosmology from CMB Lensing and Delensed EE Power Spectra Using 2019-2020 Polarization Data
Fei Ge - CalTech
I will present the cosmological analysis from the simultaneous Bayesian estimates of gravitational-lensing potential bandpowers and unlensed cosmic microwave background (CMB) EE bandpowers directly using the polarization maps from the South Pole Telescope (SPT) observed in 2019/20. These…
A Point-Transformed Gaussian Model for Field-Level Mass Distributions in Tomographic Density Slabs
Alexander Tong - University of Pennsylvania
The work presented in this talk is part of a program of performing field-level cosmological analyses using galaxy and weak lensing observables in density slabs of $O[100\ \mathrm{Mpc}]$. The inference pipeline requires a model for the mass overdensity field which is accurate to scales of a few Mpc…
An Empirical Probabilistic Model for Field-Level Galaxy Distributions in Tomographic Density Slabs
Supranta Sarma Boruah - University of Pennsylvania
Upcoming photometric surveys such as LSST, Roman, and Euclid will map billions of galaxies, opening the door to field-level cosmological analyses. In this talk, I will present a density-slab framework for performing a field-level analog of the standard 3x2pt analysis, where we model galaxy and weak…
Towards Probabilistic Cataloging with BLISS: the Bayesian Light Source Separator
Camille Avestruz - University of Michigan–Ann Arbor
Stage-IV dark energy wide-field surveys, such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), will observe an unprecedented number density of galaxies. As a result, the majority of imaged galaxies will visually overlap, a phenomenon known as blending. Blending is expected to…
What Dominates the Uncertainty on Local Dark Matter Speed Distributions?
Ethan Lilie - Princeton University
Dark matter direct detection experiments require information about the local dark matter speed distribution to produce constraints on dark matter candidates, or infer their properties in the event of a discovery. I will discuss how the uncertainty in the dark matter speed distribution near the Sun…
Disentangling Feedback and Variance in 1,024 Milky Way-Mass DREAMS Simulations
Jonah Rose - Princeton Univeristy
We introduce a novel framework for simulation-based inference using the DREAMS Project, a suite of 1,024 cosmological hydrodynamical zoom-in simulations of Milky Way-mass halos. This suite is designed to systematically disentangle theoretical uncertainties in galaxy formation physics from intrinsic…
Probing Cosmology through Higher-Order CMB Lensing Statistics
Shu-Fan Chen - Columbia University
We investigate the cosmological information content of higher-order statistics of the CMB lensing convergence field for near-term experiments similar to the Simons Observatory. Using a field-level forward-modeling pipeline based on ray-traced $N$-body simulations with realistic SO-like lensing…
| Title | Speaker(s) | Date | Collection | Type | Info |
|---|---|---|---|---|---|
| From one to multi-field inflation | 2004‑09‑14 | Cosmology and Gravitation | Scientific Series | View details | |
| Aissa's Group | 2004‑08‑27 | ISSYP 2004 | Other | View details | |
| David's Group | 2004‑08‑27 | ISSYP 2004 | Other | View details | |
| Mark's Group | 2004‑08‑27 | ISSYP 2004 | Other | View details | |
| Fotini's Group | 2004‑08‑27 | ISSYP 2004 | Other | View details | |
| Jordan's Group | 2004‑08‑27 | ISSYP 2004 | Other | View details | |
| Stephon's Group | 2004‑08‑27 | ISSYP 2004 | Other | View details | |
| Joseph's Group | 2004‑08‑27 | ISSYP 2004 | Other | View details | |
| Konstantin's Group | 2004‑08‑27 | ISSYP 2004 | Other | View details | |
| Bonnie's Group | 2004‑08‑27 | ISSYP 2004 | Other | View details | |
| Nature of Science (2) | 2004‑08‑25 | ISSYP 2004 | Other | View details | |
| Nature of Science | 2004‑08‑25 | ISSYP 2004 | Other | View details |