Samenvatting
The International LOFAR Telescope is an interferometer with stations spread across Europe. With baselines of up to ∼2000 km, LOFAR has the unique capability of achieving sub-arcsecond resolution at frequencies below 200 MHz. However, it is technically and logistically challenging to process LOFAR data at this resolution. To date only a handful of publications have exploited this capability. Here we present a calibration strategy that builds on previous high-resolution work with LOFAR. It is implemented in a pipeline using mostly dedicated LOFAR software tools and the same processing framework as the LOFAR Two-metre Sky Survey (LoTSS). We give an overview of the calibration strategy and discuss the special challenges inherent to enacting high-resolution imaging with LOFAR, and describe the pipeline, which is publicly available, in detail. We demonstrate the calibration strategy by using the pipeline on P205+55, a typical LoTSS pointing with an 8 h observation and 13 international stations. We perform in-field delay calibration, solution referencing to other calibrators in the field, self-calibration of these calibrators, and imaging of example directions of interest in the field. We find that for this specific field and these ionospheric conditions, dispersive delay solutions can be transferred between calibrators up to ∼1.5° away, while phase solution transferral works well over ∼1°. We also demonstrate a check of the astrometry and flux density scale with the in-field delay calibrator source. Imaging in 17 directions, we find the restoring beam is typically ∼0.3″ ×0.2″ although this varies slightly over the entire 5 deg2 field of view. We find we can achieve ∼80-300 μJy bm-1 image rms noise, which is dependent on the distance from the phase centre; typical values are ∼90 μJy bm-1 for the 8 h observation with 48 MHz of bandwidth. Seventy percent of processed sources are detected, and from this we estimate that we should be able to image roughly 900 sources per LoTSS pointing. This equates to ∼ 3 million sources in the northern sky, which LoTSS will entirely cover in the next several years. Future optimisation of the calibration strategy for efficient post-processing of LoTSS at high resolution makes this estimate a lower limit.
Originele taal-2 | English |
---|---|
Artikelnummer | A1 |
Aantal pagina's | 21 |
Tijdschrift | Astronomy and astrophysics |
Volume | 658 |
DOI's | |
Status | Published - 1-feb.-2022 |
Toegang tot document
- Sub-arcsecond imaging with the International LOFAR Telescope I. Foundational calibration strategy and pipelineFinal publisher's version, 13,4 MBLicentie: Taverne
Handle.net
Andere bestanden en links
Citeer dit
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver
}
In: Astronomy and astrophysics, Vol. 658, A1, 01.02.2022.
Onderzoeksoutput › Academic › peer review
TY - JOUR
T1 - Sub-arcsecond imaging with the International LOFAR Telescope
T2 - I. Foundational calibration strategy and pipeline
AU - Morabito, L. K.
AU - Jackson, N. J.
AU - Mooney, S.
AU - Sweijen, F.
AU - Badole, S.
AU - Kukreti, P.
AU - Venkattu, D.
AU - Groeneveld, C.
AU - Kappes, A.
AU - Bonnassieux, E.
AU - Drabent, A.
AU - Iacobelli, M.
AU - Croston, J. H.
AU - Best, P. N.
AU - Bondi, M.
AU - Callingham, J. R.
AU - Conway, J. E.
AU - Deller, A. T.
AU - Hardcastle, M. J.
AU - Mckean, J. P.
AU - Miley, G. K.
AU - Moldon, J.
AU - Röttgering, H. J.A.
AU - Tasse, C.
AU - Shimwell, T. W.
AU - Van Weeren, R. J.
AU - Anderson, J. M.
AU - Asgekar, A.
AU - Avruch, I. M.
AU - Van Bemmel, I. M.
AU - Bentum, M. J.
AU - Bonafede, A.
AU - Brouw, W. N.
AU - Butcher, H. R.
AU - Ciardi, B.
AU - Corstanje, A.
AU - Coolen, A.
AU - Damstra, S.
AU - De Gasperin, F.
AU - Duscha, S.
AU - Eislöffel, J.
AU - Engels, D.
AU - Falcke, H.
AU - Garrett, M. A.
AU - Griessmeier, J.
AU - Gunst, A. W.
AU - Van Haarlem, M. P.
AU - Hoeft, M.
AU - Van Der Horst, A. J.
AU - Jütte, E.
AU - Kadler, M.
AU - Koopmans, L. V.E.
AU - Krankowski, A.
AU - Mann, G.
AU - Nelles, A.
AU - Oonk, J. B.R.
AU - Orru, E.
AU - Paas, H.
AU - Pandey, V. N.
AU - Pizzo, R. F.
AU - Pandey-Pommier, M.
AU - Reich, W.
AU - Rothkaehl, H.
AU - Ruiter, M.
AU - Schwarz, D. J.
AU - Shulevski, A.
AU - Soida, M.
AU - Tagger, M.
AU - Vocks, C.
AU - Wijers, R. A.M.J.
AU - Wijnholds, S. J.
AU - Wucknitz, O.
AU - Zarka, P.
AU - Zucca, P.
N1 - Funding Information: The authors would like to thank everyone who has helped develop the software and pipelines used in this paper. This work would not have been possible without tireless efforts to help update and maintain PREFACTOR and DPPP. The authors are grateful for many useful conversations with K.J. Duncan. This work made use of several different computing resources and we thank the administrators and technicians who have helped us with these resources. This work made use of the University of Hertfordshire high-performance computing facility (http://uhhpc.herts.ac.uk) and the LOFAR-UK computing facility located at the University of Hertfordshire and supported by STFC [ST/P000096/1]. We would like to thank the Christ Church Research Centre for a grant which provided the disk space necessary to process this data. This work made use of the Dutch national e-infrastructure with the support of the SURF Cooperative using grant no. EINF-262 LKM is grateful for support from the Medical Research Council (grant MR/T042842/1). S.M. acknowledges support from the Government of Ireland Postgraduate Scholarship Programme. E.B. acknowledges support from the ERC-ERG grant DRANOEL, n.714245. A.D. acknowledges support by the BMBF Verbundforschung under the grant 052020. J.H.C. acknowledges support from the UK Science and Technology Facilities Council (ST/R000794/1). P.N.B. is grateful for support from the UK STFC via grant ST/R000972/1. J.R.C. thanks the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) for support via the Talent Programme Veni grant. M.J.H. acknowledges support from the UK Science and Technology Facilities Council (ST/R000905/1). J.P.M. acknowledges support from the Netherlands Organization for Scientific Research (NWO, project number 629.001.023) and the Chinese Academy of Sciences (CAS, project number 114A11KYSB20170054). J.M. acknowledges financial support from the State Agency for Research of the Spanish MCIU through the "Center of Excellence Severo Ochoa" award to the Instituto de Astrofísica de Andalucía (SEV-2017-0709) and from the grant RTI2018-096228-B-C31 (MICIU/FEDER, EU). R.J.v.W. acknowledges support from the ERC Starting Grant Cluster- Web 804208. D.J.S. acknowledges support by the German Federal Ministry for Science and Research BMBF-Verbundforschungsprojekt D-LOFAR 2.0 (grant numbers 05A20PB1). LOFAR (van Haarlem et al. 2013) is the Low Frequency Array designed and constructed by ASTRON. It has observing, data processing, and data storage facilities in several countries, that are owned by various parties (each with their own funding sources), and that are collectively operated by the ILT foundation under a joint scientific policy. The ILT resources have benefitted from the following recent major funding sources: CNRS-INSU, Observatoire de Paris and Université d'Orléans, France; BMBF, MIWF-NRW, MPG, Germany; Science Foundation Ireland (SFI), Department of Business, Enterprise and Innovation (DBEI), Ireland; NWO, The Netherlands; The Science and Technology Facilities Council, UK; Ministry of Science and Higher Education, Poland. Funding Information: Acknowledgements. The authors would like to thank everyone who has helped develop the software and pipelines used in this paper. This work would not have been possible without tireless efforts to help update and maintain PREFACTOR and DPPP. The authors are grateful for many useful conversations with K.J. Duncan. This work made use of several different computing resources and we thank the administrators and technicians who have helped us with these resources. This work made use of the University of Hertfordshire high-performance computing facility (http://uhhpc.herts.ac.uk) and the LOFAR-UK computing facility located at the University of Hertfordshire and supported by STFC [ST/P000096/1]. We would like to thank the Christ Church Research Centre for a grant which provided the disk space necessary to process this data. This work made use of the Dutch national e-infrastructure with the support of the SURF Cooperative using grant no. EINF-262 LKM is grateful for support from the Medical Research Council (grant MR/T042842/1). S.M. acknowledges support from the Government of Ireland Postgraduate Scholarship Programme. E.B. acknowledges support from the ERC-ERG grant DRANOEL, n.714245. A.D. acknowledges support by the BMBF Verbundforschung under the grant 052020. J.H.C. acknowledges support from the UK Science and Technology Facilities Council (ST/R000794/1). P.N.B. is grateful for support from the UK STFC via grant ST/R000972/1. J.R.C. thanks the Nederlandse Organ-isatie voor Wetenschappelijk Onderzoek (NWO) for support via the Talent Programme Veni grant. M.J.H. acknowledges support from the UK Science and Technology Facilities Council (ST/R000905/1). J.P.M. acknowledges support from the Netherlands Organization for Scientific Research (NWO, project number 629.001.023) and the Chinese Academy of Sciences (CAS, project number 114A11KYSB20170054). J.M. acknowledges financial support from the State Agency for Research of the Spanish MCIU through the “Center of Excellence Severo Ochoa” award to the Instituto de Astrofísica de Andalucía (SEV-2017-0709) and from the grant RTI2018-096228-B-C31 (MICIU/FEDER, EU). R.J.v.W. acknowledges support from the ERC Starting Grant Cluster-Web 804208. D.J.S. acknowledges support by the German Federal Ministry for Science and Research BMBF-Verbundforschungsprojekt D-LOFAR 2.0 (grant numbers 05A20PB1). LOFAR (van Haarlem et al. 2013) is the Low Frequency Array designed and constructed by ASTRON. It has observing, data processing, and data storage facilities in several countries, that are owned by various parties (each with their own funding sources), and that are collectively operated by the ILT foundation under a joint scientific policy. The ILT resources have benefitted from the following recent major funding sources: CNRS-INSU, Observatoire de Paris and Université d’Orléans, France; BMBF, MIWF-NRW, MPG, Germany; Science Foundation Ireland (SFI), Department of Business, Enterprise and Innovation (DBEI), Ireland; NWO, The Netherlands; The Science and Technology Facilities Council, UK; Ministry of Science and Higher Education, Poland. Publisher Copyright: © ESO 2022.
PY - 2022/2/1
Y1 - 2022/2/1
N2 - The International LOFAR Telescope is an interferometer with stations spread across Europe. With baselines of up to ∼2000 km, LOFAR has the unique capability of achieving sub-arcsecond resolution at frequencies below 200 MHz. However, it is technically and logistically challenging to process LOFAR data at this resolution. To date only a handful of publications have exploited this capability. Here we present a calibration strategy that builds on previous high-resolution work with LOFAR. It is implemented in a pipeline using mostly dedicated LOFAR software tools and the same processing framework as the LOFAR Two-metre Sky Survey (LoTSS). We give an overview of the calibration strategy and discuss the special challenges inherent to enacting high-resolution imaging with LOFAR, and describe the pipeline, which is publicly available, in detail. We demonstrate the calibration strategy by using the pipeline on P205+55, a typical LoTSS pointing with an 8 h observation and 13 international stations. We perform in-field delay calibration, solution referencing to other calibrators in the field, self-calibration of these calibrators, and imaging of example directions of interest in the field. We find that for this specific field and these ionospheric conditions, dispersive delay solutions can be transferred between calibrators up to ∼1.5° away, while phase solution transferral works well over ∼1°. We also demonstrate a check of the astrometry and flux density scale with the in-field delay calibrator source. Imaging in 17 directions, we find the restoring beam is typically ∼0.3″ ×0.2″ although this varies slightly over the entire 5 deg2 field of view. We find we can achieve ∼80-300 μJy bm-1 image rms noise, which is dependent on the distance from the phase centre; typical values are ∼90 μJy bm-1 for the 8 h observation with 48 MHz of bandwidth. Seventy percent of processed sources are detected, and from this we estimate that we should be able to image roughly 900 sources per LoTSS pointing. This equates to ∼ 3 million sources in the northern sky, which LoTSS will entirely cover in the next several years. Future optimisation of the calibration strategy for efficient post-processing of LoTSS at high resolution makes this estimate a lower limit.
AB - The International LOFAR Telescope is an interferometer with stations spread across Europe. With baselines of up to ∼2000 km, LOFAR has the unique capability of achieving sub-arcsecond resolution at frequencies below 200 MHz. However, it is technically and logistically challenging to process LOFAR data at this resolution. To date only a handful of publications have exploited this capability. Here we present a calibration strategy that builds on previous high-resolution work with LOFAR. It is implemented in a pipeline using mostly dedicated LOFAR software tools and the same processing framework as the LOFAR Two-metre Sky Survey (LoTSS). We give an overview of the calibration strategy and discuss the special challenges inherent to enacting high-resolution imaging with LOFAR, and describe the pipeline, which is publicly available, in detail. We demonstrate the calibration strategy by using the pipeline on P205+55, a typical LoTSS pointing with an 8 h observation and 13 international stations. We perform in-field delay calibration, solution referencing to other calibrators in the field, self-calibration of these calibrators, and imaging of example directions of interest in the field. We find that for this specific field and these ionospheric conditions, dispersive delay solutions can be transferred between calibrators up to ∼1.5° away, while phase solution transferral works well over ∼1°. We also demonstrate a check of the astrometry and flux density scale with the in-field delay calibrator source. Imaging in 17 directions, we find the restoring beam is typically ∼0.3″ ×0.2″ although this varies slightly over the entire 5 deg2 field of view. We find we can achieve ∼80-300 μJy bm-1 image rms noise, which is dependent on the distance from the phase centre; typical values are ∼90 μJy bm-1 for the 8 h observation with 48 MHz of bandwidth. Seventy percent of processed sources are detected, and from this we estimate that we should be able to image roughly 900 sources per LoTSS pointing. This equates to ∼ 3 million sources in the northern sky, which LoTSS will entirely cover in the next several years. Future optimisation of the calibration strategy for efficient post-processing of LoTSS at high resolution makes this estimate a lower limit.
KW - Galaxies: active
KW - Galaxies: jets
KW - Radiation mechanisms: non-thermal
KW - Techniques: high angular resolution
UR - http://www.scopus.com/inward/record.url?scp=85124083278&partnerID=8YFLogxK
U2 - 10.1051/0004-6361/202140649
DO - 10.1051/0004-6361/202140649
M3 - Article
AN - SCOPUS:85124083278
SN - 0004-6361
VL - 658
JO - Astronomy and astrophysics
JF - Astronomy and astrophysics
M1 - A1
ER -