activity
20232026
most citedDynamical Tests of a Deep-Learning Weather Prediction Model

4 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

hep-ph2026

Feasibility of a collider-based detector search for upward-going fermions produced from gravitationally-bound dark matter within the Earth

Tamas Almos Vami, Sanjit Masanam, Matt Bellis +3

Dark matter is theorized to be gravitationally captured within the Earth and to subsequently annihilate into dark photons. The dark photons kinetically mix with the Standard Model…

hep-ex2026

Expected Sensitivity of the Light Dark Matter eXperiment to Long-Lived Dark Photons and Axion-Like Particles

Torsten Akesson, Clay Barton, Charles Bell +53

The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment primarily designed to achieve world-leading, model-independent sensitivity to sub-GeV dark matte…

hep-ex2026

Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision

Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457

Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…

hep-ex2025

LDMX -- The Light Dark Matter eXperiment

Torsten Akesson, Layan Alsaraya, Stephen Appert +116

The Light Dark Matter eXperiment (LDMX) is an electron fixed-target experiment optimized to search for sub-GeV dark matter production through the missing momentum signature. LDMX i…

hep-ex2025

Sensitivity of an Early Dark Matter Search using the Electromagnetic Calorimeter as a Target for the Light Dark Matter eXperiment

LDMX Collaboration, Torsten Åkesson, Elizabeth Berzin +53

The Light Dark Matter eXperiment (LDMX) is proposed to employ a thin tungsten target and a multi-GeV electron beam to carry out a missing momentum search for the production of dark…

physics.ao-ph20234 cited

Dynamical Tests of a Deep-Learning Weather Prediction Model

Gregory J. Hakim, Sanjit Masanam

Global deep-learning weather prediction models have recently been shown to produce forecasts that rival those from physics-based models run at operational centers. It is unclear wh…