Physical Limits of Inference
David Wolpert - National Aeronautics and Space Administration
15625 - 15636 of 17895 Results
Format results
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Cosmology of the Lee-Wick Model
Robert Brandenberger - McGill University - Department of Physics
Generating Tree Amplitudes in N=4 SYM and N=8 Super-Gravity
Dan Freedman - Massachusetts Institute of Technology (MIT)
Torsion and the Holography of Parity Breaking
Rob Leigh - University of Illinois Urbana-Champaign
Emergent spacetimes
Silke Weinfurtner - University of Nottingham
Astrophysics and Cosmology through Problems - 10B
Mark Wyman - PDT Partners LLC , Niayesh Afshordi - University of Waterloo
Astrophysics and Cosmology through Problems - 10A
Mark Wyman - PDT Partners LLC , Niayesh Afshordi - University of Waterloo
Anticipating A New Golden Age
Frank Wilczek - Massachusetts Institute of Technology (MIT) - Center for Theoretical Physics
Computational difficulty of simulation methods: Density Functional Theory, DMRG, and beyond
Norbert Schuch - Max Planck Institute for Gravitational Physics - Albert Einstein Institute (AEI)
Renormalization, an overview
Vincent Rivasseau - University of Paris-Saclay
Studying Quantum Many-Body Systems with Artificial Neural Networks
Stefanie Czischek - University of Ottawa
From Lab to Cosmos: Three Frontiers in the Search for Signs of Life Beyond Earth
Sara Seager - Massachusetts Institute of Technology (MIT) - Department of Physics
Three Frontiers in the Search for Signs of Life Beyond Earth For thousands of years, inspired by the starry night sky, humanity has wondered whether life exists beyond Earth. In the past three decades, this ancient question has moved from philosophy to data. Astronomers have discovered thousands of…
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…