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Construction of a far ultraviolet all sky map from an incomplete survey: Application of a deep learn...

Construction of a far ultraviolet all sky map from an incomplete survey: Application of a deep learn...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2477095793

Construction of a far ultraviolet all sky map from an incomplete survey: Application of a deep learning algorithm

About this item

Full title

Construction of a far ultraviolet all sky map from an incomplete survey: Application of a deep learning algorithm

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-01

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

We constructed a far ultraviolet (FUV) all sky map based on observations from the Far Ultraviolet Imaging Spectrograph (FIMS) aboard the Korean microsatellite STSAT-1. For the ~20% of the sky not covered by FIMS observations, predictions from a deep artificial neural network were used. Seven datasets were chosen for input parameters, including five...

Alternative Titles

Full title

Construction of a far ultraviolet all sky map from an incomplete survey: Application of a deep learning algorithm

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2477095793

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2477095793

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2101.03666

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