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Exploring Metadata in Pulsar Astronomy - Master Thesis

Schmidt, Ida (2023) Exploring Metadata in Pulsar Astronomy - Master Thesis. Master's, Johann Wolfgang Goethe-Universität Frankfurt am Main.

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Abstract

The majority of information about pulsars comes from their observational data. However, pulsar metadata are often not explored in detail, even though the potential applications of them range from identifying outliers in data processing and analysis, through processing pipelines evaluation, augmenting data provenance with additional information to general purpose data management. Typically, pulsar data are stored in PSRFITS files as a complete archive, including metadata. A commonly used library for pulsar data processing and analysis, PSRCHIVE, enables the user to also access all metadata. However, it is close to impossible to manually explore them for a whole collection of data in an efficient manner. One of the solutions is organising all metadata of a given data collection in a central database, providing the users with an access point to browse and explore the metadata. Bridging the gap between complex metadata extraction and a database with all important metadata in it was the motivation and goal of the thesis.

Item URL in elib:https://elib.dlr.de/199074/
Document Type:Thesis (Master's)
Title:Exploring Metadata in Pulsar Astronomy - Master Thesis
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schmidt, IdaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:30 September 2023
Journal or Publication Title:Exploring Metadata in Pulsar Astronomy
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:metadata, provenance, scientific workflows, pulsar astronomy, FITS, PSRFITS, PSRCHIVE
Institution:Johann Wolfgang Goethe-Universität Frankfurt am Main
Department:Institut für Theoretische Physik des Fachbereichs Physik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Data Management and Enrichment
Deposited By: Dembska, Marta
Deposited On:13 Nov 2023 16:35
Last Modified:15 Nov 2023 09:53

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