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Published March 2021 | Accepted Version + Supplemental Material + Published
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RoboPol: AGN polarimetric monitoring data

Abstract

We present uniformly reprocessed and re-calibrated data from the RoboPol programme of optopolarimetric monitoring of active galactic nuclei (AGNs), covering observations between 2013, when the instrument was commissioned, and 2017. In total, the data set presented in this paper includes 5068 observations of 222 AGN with Dec. > −25°. We describe the current version of the RoboPol pipeline that was used to process and calibrate the entire data set, and we make the data publicly available for use by the astronomical community. Average quantities summarizing optopolarimetric behaviour (average degree of polarization, polarization variability index) are also provided for each source we have observed and for the time interval we have followed it.

Additional Information

© 2020 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Accepted 2020 December 1. Received 2020 November 30; in original form 2020 November 9. Published: 16 December 2020. We thank A. Steiakaki and E. Paleologou for their invaluable contribution and technical support. The RoboPol project is a collaboration between Caltech in the USA, MPIfR in Germany, Toruń Centre for Astronomy in Poland, the University of Crete/FORTH in Greece, and IUCAA in India. The U. of Crete group acknowledges support by the 'RoboPol' project, which was implemented under the 'Aristeia' Action of the 'Operational Programme Education and Lifelong Learning' and was co-funded by the European Social Fund (ESF) and Greek National Resources, and by the European Commission Seventh Framework Programme (FP7) through grants PCIG10-GA-2011-304001 'JetPop' and PIRSES-GA-2012-31578 'EuroCal'. This research was supported in part by NASA grant no. NNX11A043G and NSF grant no. AST-1109911 and by the Polish National Science Centre, grant nos 2011/01/B/ST9/04618 and 2017/25/B/ST9/02805. CC, DB, NM, RS, and KT acknowledge support from the European Research Council (ERC) under the European Union Horizon 2020 research and innovation programme under the grant agreement no. 771282. KT and GVP acknowledge support by the European Commission Seventh Framework Programme (FP7) through the Marie Curie Career Integration grant no. PCIG-GA-2011-293531 'SFOnset' as well as NASA Hubble Fellowship grant no. HST-HF2-51444.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. TH was supported by the Academy of Finland projects 317383, 320085, and 322535. Data Availability: The data underlying this article are available in Harvard Dataverse (Blinov et al. 2020).

Attached Files

Published - staa3777.pdf

Accepted Version - 2012.00008.pdf

Supplemental Material - staa3777_supplemental_tables.zip

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Additional details

Created:
August 20, 2023
Modified:
October 23, 2023