Abstract
The Data Quality Segment Database (DQSEGDB) software is a database service, backend application programming interface (API), frontend graphical web interface, and client package used by the Laser Interferometer Gravitational-Wave Observatory, Virgo, GEO600 and the Kamioka Gravitational Wave Detector for storing and accessing metadata describing the status of their detectors. The DQSEGDB has been used in the analysis of all published detections of gravitational waves in the advanced detector era. The DQSEGDB currently stores roughly 600 million metadata entries and responds to roughly 600,000 queries per day with an average response time of 0.317 s.
| Original language | English (US) |
|---|---|
| Article number | 100677 |
| Journal | SoftwareX |
| Volume | 14 |
| DOIs | |
| State | Published - Jun 2021 |
Keywords
- Database 1
- Gravitational waves 4
- LIGO-Virgo 5
- Metadata 2
- Time segments 3
ASJC Scopus subject areas
- Software
- Computer Science Applications
Access to Document
Other files and links
Fingerprint
Dive into the research topics of 'DQSEGDB: A time-interval database for storing gravitational wave observatory metadata'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS
In: SoftwareX, Vol. 14, 100677, 06.2021.
Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - DQSEGDB
T2 - A time-interval database for storing gravitational wave observatory metadata
AU - Fisher, Ryan P.
AU - Hemming, Gary
AU - Bizouard, Marie Anne
AU - Brown, Duncan A.
AU - Couvares, Peter F.
AU - Robinet, Florent
AU - Verkindt, Didier
N1 - Funding Information: The authors gratefully acknowledge the support of the United States National Science Foundation (NSF), USA for the construction and operation of the LIGO Laboratory and Advanced LIGO as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. The authors gratefully acknowledge the National Science Foundation, USA Grants PHY-1700765 and PHY-1104371 for the support of this project. Additional support for Advanced LIGO was provided by the Australian Research Council . The authors gratefully acknowledge the Italian Istituto Nazionale di Fisica Nucleare (INFN) , the French Centre National de la Recherche Scientifique (CNRS) and the Foundation for Fundamental Research on Matter supported by the Netherlands Organisation for Scientific Research , for the construction and operation of the Virgo detector, their support in all software developments, and the creation and support of the European Gravitational Observatory consortium. The authors also gratefully acknowledge research support from these agencies as well as by the Council of Scientific and Industrial Research of India , the Department of Science and Technology, India , the Science & Engineering Research Board (SERB), India , the Ministry of Human Resource Development, India , the Spanish Agencia Estatal de Investigación , the Vicepresidència i Conselleria d’Innovació, Recerca i Turisme, Spain and the Conselleria d’Educació i Universitat del Govern de les Illes Balears, Spain , the Conselleria d’Educació, Investigació, Cultura i Esport de la Generalitat Valenciana, Spain , the National Science Centre of Poland , the Swiss National Science Foundation (SNSF) , the Russian Foundation for Basic Research , the Russian Science Foundation , the European Commission , the European Regional Development Funds (ERDF) , the Royal Society, United Kingdom , the Scottish Funding Council,United Kingdom , the Scottish Universities Physics Alliance, United Kingdom , the Hungarian Scientific Research Fund (OTKA) , the Lyon Institute of Origins (LIO), France , the Paris Île-de-France Region , the National Research, Development and Innovation Office Hungary (NKFIH), Hungary , the National Research Foundation of Korea , Industry Canada and the Province of Ontario through the Ministry of Economic Development and Innovation, Canada , the Natural Science and Engineering Research Council Canada , the Canadian Institute for Advanced Research , the Brazilian Ministry of Science, Technology, Innovations, and Communications , the International Center for Theoretical Physics South American Institute for Fundamental Research (ICTP-SAIFR) , the Research Grants Council of Hong Kong , the National Natural Science Foundation of China (NSFC) , the Leverhulme Trust, United Kingdom , the Research Corporation, USA , the Ministry of Science and Technology (MOST), Taiwan and the Kavli Foundation, USA . The authors gratefully for computational resources provided by the NSF, USA , STFC, United Kingdom , INFN, Italy and CNRS, France , and supported by National Science Foundation, USA Grants PHY-1626190 , PHY-1700765 , PHY-0757058 and PHY-0823459 . The authors gratefully acknowledge the contributions of Larne Pekowsky and Ping Wei for the development, support and improvement of the original LIGO segment database and Leone Bosi for the development of the original Virgo database. Funding Information: Funding for this project was provided by the National Science Foundation, USA , the European Gravitational Observatory , the Italian Istituto Nazionale di Fisica Nucleare (INFN) , the French Centre National de la Recherche Scientifique (CNRS) and the Foundation for Fundamental Research on Matter supported by the Netherlands Organisation for Scientific Research . The funding sources had no involvement in the work described in this article or the writing or submission of the article. Funding Information: The authors gratefully acknowledge the support of the United States National Science Foundation (NSF), USA for the construction and operation of the LIGO Laboratory and Advanced LIGO as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. The authors gratefully acknowledge the National Science Foundation, USA Grants PHY-1700765 and PHY-1104371 for the support of this project. Additional support for Advanced LIGO was provided by the Australian Research Council. The authors gratefully acknowledge the Italian Istituto Nazionale di Fisica Nucleare (INFN), the French Centre National de la Recherche Scientifique (CNRS) and the Foundation for Fundamental Research on Matter supported by the Netherlands Organisation for Scientific Research, for the construction and operation of the Virgo detector, their support in all software developments, and the creation and support of the European Gravitational Observatory consortium. The authors also gratefully acknowledge research support from these agencies as well as by the Council of Scientific and Industrial Research of India, the Department of Science and Technology, India, the Science & Engineering Research Board (SERB), India, the Ministry of Human Resource Development, India, the Spanish Agencia Estatal de Investigaci?n, the Vicepresid?ncia i Conselleria d'Innovaci?, Recerca i Turisme, Spain and the Conselleria d'Educaci? i Universitat del Govern de les Illes Balears, Spain, the Conselleria d'Educaci?, Investigaci?, Cultura i Esport de la Generalitat Valenciana, Spain, the National Science Centre of Poland, the Swiss National Science Foundation (SNSF), the Russian Foundation for Basic Research, the Russian Science Foundation, the European Commission, the European Regional Development Funds (ERDF), the Royal Society, United Kingdom, the Scottish Funding Council,United Kingdom, the Scottish Universities Physics Alliance, United Kingdom, the Hungarian Scientific Research Fund (OTKA), the Lyon Institute of Origins (LIO), France, the Paris ?le-de-France Region, the National Research, Development and Innovation Office Hungary (NKFIH), Hungary, the National Research Foundation of Korea, Industry Canada and the Province of Ontario through the Ministry of Economic Development and Innovation, Canada, the Natural Science and Engineering Research Council Canada, the Canadian Institute for Advanced Research, the Brazilian Ministry of Science, Technology, Innovations, and Communications, the International Center for Theoretical Physics South American Institute for Fundamental Research (ICTP-SAIFR), the Research Grants Council of Hong Kong, the National Natural Science Foundation of China (NSFC), the Leverhulme Trust, United Kingdom, the Research Corporation, USA, the Ministry of Science and Technology (MOST), Taiwan and the Kavli Foundation, USA. The authors gratefully for computational resources provided by the NSF, USA, STFC, United Kingdom, INFN, Italy and CNRS, France, and supported by National Science Foundation, USA Grants PHY-1626190, PHY-1700765, PHY-0757058 and PHY-0823459. The authors gratefully acknowledge the contributions of Larne Pekowsky and Ping Wei for the development, support and improvement of the original LIGO segment database and Leone Bosi for the development of the original Virgo database. Funding for this project was provided by the National Science Foundation, USA, the European Gravitational Observatory, the Italian Istituto Nazionale di Fisica Nucleare (INFN), the French Centre National de la Recherche Scientifique (CNRS) and the Foundation for Fundamental Research on Matter supported by the Netherlands Organisation for Scientific Research. The funding sources had no involvement in the work described in this article or the writing or submission of the article. Publisher Copyright: © 2021 The Authors
PY - 2021/6
Y1 - 2021/6
N2 - The Data Quality Segment Database (DQSEGDB) software is a database service, backend application programming interface (API), frontend graphical web interface, and client package used by the Laser Interferometer Gravitational-Wave Observatory, Virgo, GEO600 and the Kamioka Gravitational Wave Detector for storing and accessing metadata describing the status of their detectors. The DQSEGDB has been used in the analysis of all published detections of gravitational waves in the advanced detector era. The DQSEGDB currently stores roughly 600 million metadata entries and responds to roughly 600,000 queries per day with an average response time of 0.317 s.
AB - The Data Quality Segment Database (DQSEGDB) software is a database service, backend application programming interface (API), frontend graphical web interface, and client package used by the Laser Interferometer Gravitational-Wave Observatory, Virgo, GEO600 and the Kamioka Gravitational Wave Detector for storing and accessing metadata describing the status of their detectors. The DQSEGDB has been used in the analysis of all published detections of gravitational waves in the advanced detector era. The DQSEGDB currently stores roughly 600 million metadata entries and responds to roughly 600,000 queries per day with an average response time of 0.317 s.
KW - Database 1
KW - Gravitational waves 4
KW - LIGO-Virgo 5
KW - Metadata 2
KW - Time segments 3
UR - http://www.scopus.com/inward/record.url?scp=85100109140&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100109140&partnerID=8YFLogxK
U2 - 10.1016/j.softx.2021.100677
DO - 10.1016/j.softx.2021.100677
M3 - Article
AN - SCOPUS:85100109140
SN - 2352-7110
VL - 14
JO - SoftwareX
JF - SoftwareX
M1 - 100677
ER -