Work

A machine learning algorithm for direct detection of axion-like particle domain walls

Year: 2022

Type: article

Source: Physics of the Dark Universe

DOI: 10.1016/j.dark.2022.101118

Authors: Dongok Kim, Derek F. Jackson Kimball, Hector Masia-Roig, Joseph A. Smiga, Arne Wickenbrock, Dmitry Budker, Younggeun Kim, Yun Chang Shin, Yannis K. Semertzidis

Institutions: Korea Advanced Institute of Science and Technology, Institute for Basic Science, California State University, East Bay, Johannes Gutenberg University Mainz, Helmholtz Institute Mainz, University of California, Berkeley

Language: English

Topic: Dark Matter and Cosmic Phenomena

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, Simons Foundation, Heising-Simons Foundation, European Commission, Deutsche Forschungsgemeinschaft, Institute for Basic Science, Horizon 2020 Framework Programme, European Research Council

Awards: Collaborative Research: PM: RUI - Searches for Ultralight Bosonic Dark Matter with Atomic Magnetometer Networks, G2121348967, EXC 2118: Precision Physics, Fundamental Interactions and Structure of Matter (PRISMA+), G4603516049, G5532421304, G5646847568, G6237201456, Collaborative Research (RUI): Search for Exotic Transient Spin-dependent Signals from Ultralight Dark Matter Fields

OpenAlex ID: W3204072576

FWCI: 0.126

Cites: 70

Cited by: 5

Related to: 10