Mostert et al., 2023 describe a method to classify radio sources as AGN remnant candidate based on 9 different morphological features.

Below we provide the data and code that we used for reproducibility:

Data products

• LoTSS-DR1 catalogue created by Williams et al. 2019, is the radio source catalogue that we use to select all radio sources with a projected angular size bigger than 60 arcsec and to derive the catalogue-based morphological features. See the catalogue column description for the column units and other information.
• The radio source catalogue above is accompanied by a Gaussian catalogue and a Component catalogue which allow us to remove unrelated neighbouring radio sources from the cutouts that we create during pre-processing.
• List of AGN remnants visually inspected by Brienza et al. in prep. Used as training and test data for our RF classifier.
• LoTSS-DR2 images created by Shimwell et al (2022) are the fits files we use to create Stokes-I image cutouts.

Code repository

• Methods notebook

If you make any scientific use of these data, we kindly request that you include the following acknowledgment:

LOFAR is the Low Frequency Array designed and constructed by ASTRON. It has observing, data processing, and data storage facilities in several countries, which are owned by various parties (each with their own funding sources), and which are collectively operated by the ILT foundation under a joint scientific policy. The ILT resources have benefited 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; The Istituto Nazionale di Astrofisica (INAF), Italy. This research made use of the Dutch national e-infrastructure with support of the SURF Cooperative (e-infra 180169) and the LOFAR e-infra group. The Jülich LOFAR Long Term Archive and the German LOFAR network are both coordinated and operated by the Jülich Supercomputing Centre (JSC), and computing resources on the supercomputer JUWELS at JSC were provided by the Gauss Centre for Supercomputing e.V. (grant CHTB00) through the John von Neumann Institute for Computing (NIC). This research made use of the University of Hertfordshire high-performance computing facility and the LOFAR-UK computing facility located at the University of Hertfordshire and supported by STFC [ST/P000096/1], and of the Italian LOFAR IT computing infrastructure supported and operated by INAF, and by the Physics Department of Turin university (under an agreement with Consorzio Interuniversitario per la Fisica Spaziale) at the C3S Supercomputing Centre, Italy.