Machine learning and astrophysics/cosmology meeting: Alex Szalay
Bloomberg 447Alex Szalay will present on the intersection of machine learning and astrophysics/cosmology.
Alex Szalay will present on the intersection of machine learning and astrophysics/cosmology.
Title: Polymer models for the prediction of 3D structure and transcription in human chromatin, Talk abstract: Transcription is a fundamental cellular process, and the first step of gene expression. In […]
Hosted by JHU Gender Minorities & Women in Physics (G-WiP). Donna Strickland is a professor in the Department of Physics and Astronomy at the University of Waterloo and is one […]
Haim Beidenkopf (Weizmann Institute) condensed matter and biological physics seminar. Host: Peter Armitage
Black (hole) Coffee is a space for students, postdocs, and professors to discuss cutting-edge research on all things black holes, spanning both observations and theory.
Title: Dynamic Jahn-Teller effect and a multi-polar order in 5d double-perovskites, The properties of strongly correlated systems have been at the forefront of scientific research for many decades. Typically focused […]
TITLE: Cosmological results from the Dark Energy Spectroscopic Instrument, ABSTRACT: A quarter-century after the discovery of the accelerated expansion of theuniverse, the constraints on dark energy that powers this acceleration […]
Condensed Mater & Biological Physics Seminar: Shenshen Wang (UCLA) Host: Brian Camley
ML x Astro/Cosmo meetings are geared towards discussing new methods/ideas at the intersection of machine learning and astrophysics/cosmology.
Galaxy Clusters As Dark Matter Laboratories Benedikt Diemer (UMD) JHU/STScI joint colloquium
TITLE: Precision measurement in tabletop experiments, Abstract: Many theories of physics beyond the Standard Model predict small deviations from Standard Model behavior at low energy scales. We can search for […]
Black (hole) Coffee is a space for students, postdocs, and professors to discuss cutting-edge research on all things black holes, spanning both observations and theory.