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A System for Cross-matching All-sky Surveys
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control.
2019 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis describes the cross-matching software solution lying at thecore of the computational infrastructure for the VASCO project. The VASCO project has a goal to mine historical all-sky surveys to find astronomical anomalies. It aims to give new clues to either SETI research or in theoretical astrophysics, and serves as a starting point for observational followup and/or new theoretical developments.

Cross-matching throughout the thesis refers to comparing billions of astronomical objects recorded in the historical USNO and PanSTARRS allskysurveys. This thesis describes how to approach this huge computational challenge using methods of big data and cloud computing. The techniques described in this thesis resulted in a list of about 400 thousand objects which are usable in further analysis in the machine learning tool called ML-Blink.

Place, publisher, year, edition, pages
2019. , p. 61
Series
UPTEC F, ISSN 1401-5757 ; 19020
Keywords [en]
VASCO, Big Data, Cloud, Cross-matching, SETI, Machine Learning
National Category
Astronomy, Astrophysics and Cosmology Other Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-385772OAI: oai:DiVA.org:uu-385772DiVA, id: diva2:1325765
Educational program
Master Programme in Engineering Physics
Presentation
2019-05-06, 2003 Ångström, Lägerhyddsvägen 1, Uppsala, 11:16 (English)
Supervisors
Examiners
Available from: 2019-06-18 Created: 2019-06-17 Last updated: 2019-06-18Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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