Journal article
The LOFAR Two-Meter Sky Survey: Deep Fields Data Release 1 I. Direction-dependent calibration and imaging
- Abstract:
- The Low Frequency Array (LOFAR) is an ideal instrument to conduct deep extragalactic surveys. It has a large field of view and is sensitive to large-scale and compact emission. It is, however, very challenging to synthesize thermal noise limited maps at full resolution, mainly because of the complexity of the low-frequency sky and the direction dependent effects (phased array beams and ionosphere). In this first paper of a series, we present a new calibration and imaging pipeline that aims at producing high fidelity, high dynamic range images with LOFAR High Band Antenna data, while being computationally efficient and robust against the absorption of unmodeled radio emission. We apply this calibration and imaging strategy to synthesize deep images of the Boötes and Lockman Hole fields at ~150 MHz, totaling ~80 and ~100 h of integration, respectively, and reaching unprecedented noise levels at these low frequencies of â 30 and â 23 μJy beam-1 in the inner ~3 deg2. This approach is also being used to reduce theâ» LOTSS-wide data for the second data release.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 14.2MB, Terms of use)
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- Publisher copy:
- 10.1051/0004-6361/202038804
Authors
- Publisher:
- EDP Sciences
- Journal:
- Astronomy and Astrophysics More from this journal
- Volume:
- 648
- Issue:
- 2021
- Article number:
- A1
- Publication date:
- 2021-04-07
- DOI:
- EISSN:
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1432-0746
- ISSN:
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0004-6361
- Language:
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English
- Keywords:
- Pubs id:
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1176217
- Local pid:
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pubs:1176217
- Deposit date:
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2021-09-07
Terms of use
- Copyright holder:
- Tasse et al.
- Copyright date:
- 2021
- Rights statement:
- © C. Tasse et al. 2021. Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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