Work

LOFAR dataset for deep learning assisted data Inspection for radio astronomy

Year: 2020

Type: dataset

Abstract: This dataset is used for the training of the magnitude and phase-based VAE in the paper entitled "Deep learning assisted data inspection for radio astronomy". For uploading purposes the dataset has been separated into 4 different .zip files. In order to use this dataset each of the zip files should be extracted into a single directory so that the training can be performed on all files at the same time. More information can be found on the project github repository.

Source: UvA-DARE (University of Amsterdam)

DOI: 10.5281/zenodo.3702429

Authors: Mesarcik, Michael, Boonstra, Albert-Jan, Meijer, Christiaan, Jansen, Walter, Ranguelova, Elena, Van Nieuwpoort, Rob

Institutions: University of Amsterdam, Netherlands Institute for Radio Astronomy, Netherlands eScience Center

Language: English

Topic: Radio Astronomy Observations and Technology

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393545759

Cites:

Cited by: 1

Related to: 10