Format results
-
New Opportunities and New Challenges with Upcoming CMB Surveys
Joel Meyers - Southern Methodist University
-
Scattering Interactions between Dark Matter and Standard Model Particles with Cosmology
Suroor Seher Gandhi - Perimeter Institute for Theoretical Physics
-
Beyond Summary Statistics: Leveraging Generative Models for Robust and Optimal Field-Level Weak Lensing Analysis - VIRTUAL
Biwei Dai - University of California, Berkeley
-
-
The Large-Scale Structure Renormalization Group: Bridging the Gap Between QFT and Cosmology - VIRTUAL
Henrique Rubira - Technical University of Munich (TUM)
-
-
Probing exotic energy injection with the CMB and early star formation
Wenzer Qin - Massachusetts Institute of Technology (MIT)
-
-
Transformers for scientific data - VIRTUAL - Helen Qu and Bhuvnesh Jain
Bhuvnesh Jain - University of Pennsylvania
-
-
-
Understanding Dwarf Galaxy Evolution to understand Dark Matter
Ferah Munshi - George Mason University
-
New Opportunities and New Challenges with Upcoming CMB Surveys
Joel Meyers - Southern Methodist University
Future surveys will map the cosmic microwave background (CMB) with unprecedented precision. The high fidelity of the data will present new opportunities to extract deep insights about the history, contents, and evolution of our universe. However, new tools and techniques will be required to maximize… -
Scattering Interactions between Dark Matter and Standard Model Particles with Cosmology
Suroor Seher Gandhi - Perimeter Institute for Theoretical Physics
Linear cosmological observables, like the cosmic microwave background (CMB), offer a unique avenue to investigate the elusive properties of dark matter (DM) through its interactions with Standard Model (SM) particles. The precision of contemporary experiments has reached sub-percent-level accuracy (… -
Beyond Summary Statistics: Leveraging Generative Models for Robust and Optimal Field-Level Weak Lensing Analysis - VIRTUAL
Biwei Dai - University of California, Berkeley
Deep learning (DL) methods have demonstrated great potential for extracting rich non-linear information from cosmological fields, a challenge that traditional summary statistics struggle to address. Most of these DL methods are discriminative models, i.e., they directly learn the posterior… -
ACT DR4
Sigurd Naess - University of Oslo
Abstract TBA --- Zoom link https://pitp.zoom.us/j/96982969023?pwd=MjgzaU5mZUVuV3pNVG11dHM2WUd4UT09 -
The Large-Scale Structure Renormalization Group: Bridging the Gap Between QFT and Cosmology - VIRTUAL
Henrique Rubira - Technical University of Munich (TUM)
Major improvements in the theoretical aspects of Cosmology have been possible in recent years due to QFT-inspired methods, such as the effective field theory of large-scale structure (EFTofLSS). In this talk, I will explore further connections between high-energy physics and cosmology. I will… -
Constraining a constant and tomographic Coupled Dark Energy model with low and high redshift probes
Lisa Goh - CEA Saclay
The current ΛCDM concordance model has been widely successful in describing our Universe. However, crucial questions, such as the H0 tension, remain unanswered and are becoming increasingly critical with the continuous release of high-precision cosmological data. This has led to the exploration of… -
Probing exotic energy injection with the CMB and early star formation
Wenzer Qin - Massachusetts Institute of Technology (MIT)
Dark matter interactions with Standard Model particles can inject energy at early times, altering the standard evolution of the early universe. In particular, this energy injection can perturb the spectrum of the cosmic microwave background (CMB) away from that of a perfect blackbody, alter the CMB… -
Probing primordial non-Gaussianity by reconstructing the initial conditions with machine learning
Inflation remains one of the enigmas in fundamental physics. While it is difficult to distinguish different inflation models, information contained in primordial non-Gaussianity (PNG) offers a route to break the degeneracy. In galaxy surveys, the local type PNG is usually probed by measuring the… -
Transformers for scientific data - VIRTUAL - Helen Qu and Bhuvnesh Jain
Bhuvnesh Jain - University of Pennsylvania
The deep learning architecture associated with ChatGPT and related generative AI products is known as transformers. Initially applied to Natural Language Processing, transformers and the self-attention mechanism they exploit have gained widespread interest across the natural sciences. We will… -
Black holes in cosmological settings: thermodynamics, semi-classical models, and applications - VIRTUAL
Filip Simovic - University of Waterloo
Black hole thermodynamics plays a central role in the theoretical landscape, acting as both synthesizer and sieve for concepts in field theory, quantum gravity, information theory, and more. While its formulation and applications are well understood in asymptotically flat and anti-de Sitter spaces… -
The Atacama Cosmology Telescope: Probing the large scale structure with ACT DR6 CMB lensing and cross-correlation with unWISE
Gerrit Farren - University of Cambridge
I will present work on probing the large scale structure of the universe using CMB lensing from the upcoming Data Release 6 of the Atacama Cosmology Telescope (ACT) and cross-correlations with galaxies from the unWISE galaxy catalog. My talk will focus on how our highly competitive constraints from… -
Understanding Dwarf Galaxy Evolution to understand Dark Matter
Ferah Munshi - George Mason University
Low mass galaxies challenge our picture of galaxy formation and are an intriguing laboratory for the study of star formation, feedback and dark matter physics. I will present results from high resolution, cosmological simulations that contain many (isolated) dwarf galaxies [the MARVEL dwarfs] as…