LEDDB: LOFAR Epoch of Reionization Diagnostic Database

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

Physics discipline

Open University of Israel

Research output: Contribution to journal › Article › 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. This stored data is 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	American English
Number of pages	4
Journal	arXiv preprint
Volume	1302.4462
State	Published - 2013

Keywords

Astrophysics - Instrumentation and Methods for Astrophysics
Computer Science - Databases

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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. arXiv preprint, 1302.4462. http://elib.openu.ac.il/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edsarx&AN=edsarx.1302.4462&site=eds-live&scope=site

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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. This stored data is 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.",

keywords = "Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Databases",

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

note = "Accession Number: edsarx.1302.4462; Publication Type: Working Paper; Publication Date: 20130218",

year = "2013",

language = "American English",

volume = "1302.4462",

}

TY - JOUR

T1 - LEDDB: LOFAR Epoch of Reionization Diagnostic Database

AU - Martinez-Rubi, O.

AU - Veligatla, V. K.

AU - de Bruyn, A. G.

AU - Lampropoulos, P.

AU - Offringa, A. R.

AU - Jelic, Vibor

AU - Yatawatta, S.

AU - Koopmans, Léon V.E.

AU - Zaroubi, S.

N1 - Accession Number: edsarx.1302.4462; Publication Type: Working Paper; Publication Date: 20130218

PY - 2013

Y1 - 2013

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. This stored data is 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. This stored data is 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.

KW - Astrophysics - Instrumentation and Methods for Astrophysics

KW - Computer Science - Databases

M3 - Article

VL - 1302.4462

JO - arXiv preprint

JF - arXiv preprint

ER -

LEDDB: LOFAR Epoch of Reionization Diagnostic Database

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Keywords

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