LEDDB: LOFAR Epoch of Reionization Diagnostic Database

O. Martinez-Rubi; V. K. Veligatla; A. G. de Bruyn; P. Lampropoulos; A. R. Offringa; V. Jelic; S. Yatawatta; L. V. E. Koopmans; S. Zaroubi

LEDDB: LOFAR Epoch of Reionization Diagnostic Database

O. Martinez-Rubi, V. K. Veligatla, A. G. de Bruyn, P. Lampropoulos, A. R. Offringa, V. Jelic, S. Yatawatta, L. V. E. Koopmans, S. Zaroubi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

One of the key science projects of the Low-Frequency Array (LOFAR) is the detection of the cosmological signal coming from the Epoch of Reionization (EoR). Here we present the LOFAR EoR Diagnostic Database (LEDDB) that is used in the storage, management, processing and analysis of the LOFAR EoR observations. It stores referencing information of the observations and diagnostic parameters extracted from their calibration. These stored data are used to ease the pipeline processing, monitor the performance of the telescope, and visualize the diagnostic parameters which facilitates the analysis of the several contamination effects on the signals. It is implemented with PostgreSQL and accessed through the psycopg2 Python module. We have developed a very flexible query engine, which is used by a web user interface to access the database, and a very extensive set of tools for the visualization of the diagnostic parameters through all their multiple dimensions.

Original language	English
Title of host publication	Astronomical Data Analysis Software and Systems XXII
Subtitle of host publication	Proceedings of a Conference held at University of Illinois, Champaign, Illinois, USA 4-8 November 2012. San Francisco: Astronomical Society of the Pacific
Place of Publication	San Francisco
Pages	377-378
Number of pages	1
Publication status	Published - Oct-2013
Event	Astronomical Data Analysis Software and Systems XXII - Champaign, Illinois, United States Duration: 4-Nov-2012 → 8-Nov-2012

Conference

Conference	Astronomical Data Analysis Software and Systems XXII
Country/Territory	United States
City	Champaign, Illinois
Period	04/11/2012 → 08/11/2012

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Martinez-Rubi, O., Veligatla, V. K., de Bruyn, A. G., Lampropoulos, P., Offringa, A. R., Jelic, V., Yatawatta, S., Koopmans, L. V. E., & Zaroubi, S. (2013). LEDDB: LOFAR Epoch of Reionization Diagnostic Database. In Astronomical Data Analysis Software and Systems XXII: Proceedings of a Conference held at University of Illinois, Champaign, Illinois, USA 4-8 November 2012. San Francisco: Astronomical Society of the Pacific (pp. 377-378). http://adsabs.harvard.edu/abs/2013ASPC..475..377M

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title = "LEDDB: LOFAR Epoch of Reionization Diagnostic Database",

abstract = "One of the key science projects of the Low-Frequency Array (LOFAR) is the detection of the cosmological signal coming from the Epoch of Reionization (EoR). Here we present the LOFAR EoR Diagnostic Database (LEDDB) that is used in the storage, management, processing and analysis of the LOFAR EoR observations. It stores referencing information of the observations and diagnostic parameters extracted from their calibration. These stored data are used to ease the pipeline processing, monitor the performance of the telescope, and visualize the diagnostic parameters which facilitates the analysis of the several contamination effects on the signals. It is implemented with PostgreSQL and accessed through the psycopg2 Python module. We have developed a very flexible query engine, which is used by a web user interface to access the database, and a very extensive set of tools for the visualization of the diagnostic parameters through all their multiple dimensions.",

author = "O. Martinez-Rubi and Veligatla, {V. K.} and {de Bruyn}, {A. G.} and P. Lampropoulos and Offringa, {A. R.} and V. Jelic and S. Yatawatta and Koopmans, {L. V. E.} and S. Zaroubi",

note = "M1 - Conference Proceedings; Astronomical Data Analysis Software and Systems XXII ; Conference date: 04-11-2012 Through 08-11-2012",

year = "2013",

month = oct,

language = "English",

pages = "377--378",

booktitle = "Astronomical Data Analysis Software and Systems XXII",

}

Martinez-Rubi, O, Veligatla, VK, de Bruyn, AG, Lampropoulos, P, Offringa, AR, Jelic, V, Yatawatta, S, Koopmans, LVE & Zaroubi, S 2013, LEDDB: LOFAR Epoch of Reionization Diagnostic Database. in Astronomical Data Analysis Software and Systems XXII: Proceedings of a Conference held at University of Illinois, Champaign, Illinois, USA 4-8 November 2012. San Francisco: Astronomical Society of the Pacific. San Francisco, pp. 377-378, Astronomical Data Analysis Software and Systems XXII, Champaign, Illinois, United States, 04/11/2012. <http://adsabs.harvard.edu/abs/2013ASPC..475..377M>

LEDDB: LOFAR Epoch of Reionization Diagnostic Database. / Martinez-Rubi, O.; Veligatla, V. K.; de Bruyn, A. G. et al.
Astronomical Data Analysis Software and Systems XXII: Proceedings of a Conference held at University of Illinois, Champaign, Illinois, USA 4-8 November 2012. San Francisco: Astronomical Society of the Pacific. San Francisco, 2013. p. 377-378.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - LEDDB

T2 - Astronomical Data Analysis Software and Systems XXII

AU - Martinez-Rubi, O.

AU - Veligatla, V. K.

AU - de Bruyn, A. G.

AU - Lampropoulos, P.

AU - Offringa, A. R.

AU - Jelic, V.

AU - Yatawatta, S.

AU - Koopmans, L. V. E.

AU - Zaroubi, S.

N1 - M1 - Conference Proceedings

PY - 2013/10

Y1 - 2013/10

N2 - One of the key science projects of the Low-Frequency Array (LOFAR) is the detection of the cosmological signal coming from the Epoch of Reionization (EoR). Here we present the LOFAR EoR Diagnostic Database (LEDDB) that is used in the storage, management, processing and analysis of the LOFAR EoR observations. It stores referencing information of the observations and diagnostic parameters extracted from their calibration. These stored data are used to ease the pipeline processing, monitor the performance of the telescope, and visualize the diagnostic parameters which facilitates the analysis of the several contamination effects on the signals. It is implemented with PostgreSQL and accessed through the psycopg2 Python module. We have developed a very flexible query engine, which is used by a web user interface to access the database, and a very extensive set of tools for the visualization of the diagnostic parameters through all their multiple dimensions.

AB - One of the key science projects of the Low-Frequency Array (LOFAR) is the detection of the cosmological signal coming from the Epoch of Reionization (EoR). Here we present the LOFAR EoR Diagnostic Database (LEDDB) that is used in the storage, management, processing and analysis of the LOFAR EoR observations. It stores referencing information of the observations and diagnostic parameters extracted from their calibration. These stored data are used to ease the pipeline processing, monitor the performance of the telescope, and visualize the diagnostic parameters which facilitates the analysis of the several contamination effects on the signals. It is implemented with PostgreSQL and accessed through the psycopg2 Python module. We have developed a very flexible query engine, which is used by a web user interface to access the database, and a very extensive set of tools for the visualization of the diagnostic parameters through all their multiple dimensions.

M3 - Conference contribution

SP - 377

EP - 378

BT - Astronomical Data Analysis Software and Systems XXII

CY - San Francisco

Y2 - 4 November 2012 through 8 November 2012

ER -

Martinez-Rubi O, Veligatla VK, de Bruyn AG, Lampropoulos P, Offringa AR, Jelic V et al. LEDDB: LOFAR Epoch of Reionization Diagnostic Database. In Astronomical Data Analysis Software and Systems XXII: Proceedings of a Conference held at University of Illinois, Champaign, Illinois, USA 4-8 November 2012. San Francisco: Astronomical Society of the Pacific. San Francisco. 2013. p. 377-378

LEDDB: LOFAR Epoch of Reionization Diagnostic Database

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