English

The LOFAR Two Meter Sky Survey: Deep Fields, I -- Direction-dependent calibration and imaging

Instrumentation and Methods for Astrophysics 2021-04-07 v2

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 Bootes and LH fields at 150 MHz, totaling 80\sim80 and 100\sim100 hours of integration respectively and reaching unprecedented noise levels at these low frequencies of 30\lesssim30 and 23\lesssim23 μ\muJy/beam in the inner 3\sim3 deg2^2. This approach is also being used to reduce the LoTSS-wide data for the second data release.

Keywords

Cite

@article{arxiv.2011.08328,
  title  = {The LOFAR Two Meter Sky Survey: Deep Fields, I -- Direction-dependent calibration and imaging},
  author = {C. Tasse and T. Shimwell and M. J. Hardcastle and S. P. O'Sullivan and R. van Weeren and P. N. Best and L. Bester and B. Hugo and O. Smirnov and J. Sabater and G. Calistro-Rivera and F. de Gasperin and L. K. Morabito and H. Röttgering and W. L. Williams and M. Bonato and M. Bondi and A. Botteon and M. Brüggen and G. Brunetti and K. T. Chyży and M. A. Garrett and G. Gürkan and M. J. Jarvis and R. Kondapally and S. Mandal and I. Prandoni and A. Repetti and E. Retana-Montenegro and D. J. Schwarz and A. Shulevski and Y. Wiaux},
  journal= {arXiv preprint arXiv:2011.08328},
  year   = {2021}
}

Comments

This paper is part of the 1st data release of the LoTSS Deep Fields. Electronic data catalogues will be made available on journal publication

R2 v1 2026-06-23T20:18:05.110Z