Work

AI gamma-ray burst classification: Methodology/preliminary results

Year: 1998

Type: conference-paper

Abstract: Artificial intelligence (AI) classifiers can be used to classify unknowns, refine existing classification parameters, and identify/screen out ineffectual parameters. We present an AI methodology for classifying new gamma-ray bursts, along with some preliminary results.

Source: Fourth Huntsville gamma-ray burst symposium

DOI: 10.1063/1.55403

Authors: Jon Hakkila, David J. Haglin, Richard J. Roiger, Robert S. Mallozzi, Geoffrey N. Pendleton, Charles A. Meegan

Institutions: Minnesota State University, Mankato, University of Alabama in Huntsville, Marshall Space Flight Center

Language: English

Topic: Gamma-ray bursts and supernovae

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2036089954

FWCI: 1.752

Cites:

Cited by: 1

Related to: 10