Realising the LOFAR Two-Metre Sky Survey -- using the supercomputer JUWELS at the Forschungszentrum Jülich Article Swipe
A. Drabent
,
M. Hoeft
,
A. P. Mechev
,
J. B. R. Oonk
,
T. W. Shimwell
,
Frits Sweijen
,
A. Danezi
,
C. Schrijvers
,
Cristina Manzano
,
Oleg Tsigenov
,
R.‐J. Dettmar
,
M. Brüggen
,
Dominik J. Schwarz
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1910.13835
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1910.13835
The new generation of high-resolution broad-band radio telescopes, like the Low Frequency Array (LOFAR), produces, depending on the level of compression, between 1 to 10 TB of data per hour after correlation. Such a large amount of scientific data demand powerful computing resources and efficient data handling strategies to be mastered. The LOFAR Two-metre Sky Survey (LoTSS) is a Key Science Project (KSP) of the LOFAR telescope. It aims to map the entire northern hemisphere at unprecedented sensitivity and resolution. The survey consist of 3 168 pointings, requiring about 30 PBytes of storage space. As a member of the German Long Wavelength Consortioum (GLOW) the Forschungszentrum Jülich (FSZ) stores in the Long Term Archive (LTA) about 50% of all LoTSS observations conducted to date. In collaboration with SURFsara in Amsterdam we developed service tools that enable the KSP to process LOFAR data stored in the Jülich LTA at the supercomputer JUWELS in an automated and robust fashion. Through our system more than 500 out of 800 existing LoTSS observations have already been processed with the prefactor pipeline. This pipeline calibrates the direction-independent instrumental and ionospheric effects and furthermore reduces the data size significantly. For continuum imaging, this processing pipeline is the standard pipeline that is executed before more advanced processing and image reconstruction methods are applied.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1910.13835
- https://arxiv.org/pdf/1910.13835
- OA Status
- green
- Cited By
- 1
- References
- 6
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2982499171
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2982499171Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.1910.13835Digital Object Identifier
- Title
-
Realising the LOFAR Two-Metre Sky Survey -- using the supercomputer JUWELS at the Forschungszentrum JülichWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-10-30Full publication date if available
- Authors
-
A. Drabent, M. Hoeft, A. P. Mechev, J. B. R. Oonk, T. W. Shimwell, Frits Sweijen, A. Danezi, C. Schrijvers, Cristina Manzano, Oleg Tsigenov, R.‐J. Dettmar, M. Brüggen, Dominik J. SchwarzList of authors in order
- Landing page
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https://arxiv.org/abs/1910.13835Publisher landing page
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https://arxiv.org/pdf/1910.13835Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/1910.13835Direct OA link when available
- Concepts
-
LOFAR, Pipeline (software), Supercomputer, Sky, Radio telescope, Computer science, Remote sensing, Data processing, Radio astronomy, Physics, Astronomy, Database, Operating system, GeologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2021: 1Per-year citation counts (last 5 years)
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20Other works algorithmically related by OpenAlex
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| primary_location.version | submittedVersion |
| primary_location.raw_type | |
| primary_location.license_id | |
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| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/1910.13835 |
| publication_date | 2019-10-30 |
| publication_year | 2019 |
| referenced_works | https://openalex.org/W2766453163, https://openalex.org/W2551307544, https://openalex.org/W3104445319, https://openalex.org/W2147626801, https://openalex.org/W2894850091, https://openalex.org/W2737077403 |
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