Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science

no code implementations • 11 Mar 2024 • Gabriel P. Langlois, Jatan Buch, Jérôme Darbon

State-of-the-art algorithms for Maxent models, however, were not originally designed to handle big data sets; these algorithms either rely on technical devices that may yield unreliable numerical results, scale poorly, or require smoothness assumptions that many practical Maxent models lack.

Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM$_{2.5}$ Emissions Forecasting System

no code implementations • 7 Dec 2023 • Kyleen Liao, Jatan Buch, Kara Lamb, Pierre Gentine

The increasing size and severity of wildfires across western North America have generated dangerous levels of PM$_{2. 5}$ pollution in recent years.

Implications of the Gaia Sausage for Dark Matter Nuclear Interactions

no code implementations • 14 Oct 2019 • Jatan Buch, JiJi Fan, John Shing Chau Leung

Meanwhile, for heavy DM with mass above ~30 GeV, depending on the type of DM model, there could be a (moderate) improvement in the sensitivity at future DD experiments.

High Energy Physics - Phenomenology Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies

Using Gaia DR2 to Constrain Local Dark Matter Density and Thin Dark Disk

1 code implementation • 16 Aug 2018 • Jatan Buch, John Shing Chau Leung, JiJi Fan

We also explore the prospect of using our analysis to estimate the DM density in local substructure by setting constraints on the surface density and scale height of a thin dark disk aligned with the baryonic disk and formed due to dark matter self-interaction.

Astrophysics of Galaxies High Energy Physics - Phenomenology