A new method for short duration transient detection in radio images: Searching for transient sources in MeerKAT data of NGC 5068

(2023)

Authors:

S Fijma, A Rowlinson, RAMJ Wijers, I de Ruiter, WJG de Blok, S Chastain, AJ van der Horst, ZS Meyers, K van der Meulen, R Fender, PA Woudt, A Andersson, A Zijlstra, J Healy, FM Maccagni

Bursts from Space: MeerKAT – the first citizen science project dedicated to commensal radio transients

Monthly Notices of the Royal Astronomical Society Oxford University Press 523:2 (2023) 2219-2235

Authors:

Alex Andersson, chris Lintott, rob Fender, joe Bright, francesco Carotenuto, ian Heywood, Lauren Rhodes, Sara Motta, David Williams

Abstract:

The newest generation of radio telescopes is able to survey large areas with high sensitivity and cadence, producing data volumes that require new methods to better understand the transient sky. Here, we describe the results from the first citizen science project dedicated to commensal radio transients, using data from the MeerKAT telescope with weekly cadence. Bursts from Space: MeerKAT was launched late in 2021 and received ∼89 000 classifications from over 1000 volunteers in 3 months. Our volunteers discovered 142 new variable sources which, along with the known transients in our fields, allowed us to estimate that at least 2.1 per cent of radio sources are varying at 1.28 GHz at the sampled cadence and sensitivity, in line with previous work. We provide the full catalogue of these sources, the largest of candidate radio variables to date. Transient sources found with archival counterparts include a pulsar (B1845-01) and an OH maser star (OH 30.1–0.7), in addition to the recovery of known stellar flares and X-ray binary jets in our observations. Data from the MeerLICHT optical telescope, along with estimates of long time-scale variability induced by scintillation, imply that the majority of the new variables are active galactic nuclei. This tells us that citizen scientists can discover phenomena varying on time-scales from weeks to several years. The success both in terms of volunteer engagement and scientific merit warrants the continued development of the project, while we use the classifications from volunteers to develop machine learning techniques for finding transients.

Harnessing the Hubble Space Telescope Archives: A Catalog of 21,926 Interacting Galaxies

The Astrophysical Journal American Astronomical Society 948:1 (2023) 40

Authors:

David O’Ryan, Bruno Merín, Brooke D Simmons, Antónia Vojteková, Anna Anku, Mike Walmsley, Izzy L Garland, Tobias Géron, William Keel, Sandor Kruk, Chris J Lintott, Kameswara Bharadwaj Mantha, Karen L Masters, Jan Reerink, Rebecca J Smethurst, Matthew R Thorne

Zoobot: Adaptable Deep Learning Models for GalaxyMorphology

The Journal of Open Source Software The Open Journal 8:85 (2023) 5312

Authors:

Mike Walmsley, Campbell Allen, Ben Aussel, Micah Bowles, Kasia Gregorowicz, Inigo Val Slijepcevic, Chris J Lintott, Anna MM Scaife, Maja Jabłońska, Kosio Karchev, Denise Lanzieri, Devina Mohan, David O’Ryan, Bharath Saiguhan, Crisel Suárez, Nicolás Guerra-Varas, Renuka Velu

Bursts from Space: MeerKAT - The first citizen science project dedicated to commensal radio transients

(2023)

Authors:

Alex Andersson, Chris Lintott, Rob Fender, Joe Bright, Francesco Carotenuto, Laura Driessen, Mathilde Espinasse, Kelebogile Gaseahalwe, Ian Heywood, Alexander J van der Horst, Sara Motta, Lauren Rhodes, Evangelia Tremou, David RA Williams, Patrick Woudt, Xian Zhang, Steven Bloemen, Paul Groot, Paul Vreeswijk, Stefano Giarratana, Payaswini Saikia, Jonas Andersson, Lizzeth Ruiz Arroyo, Loïc Baert, Matthew Baumann, Wilfried Domainko, Thorsten Eschweiler, Tim Forsythe, Sauro Gaudenzi, Rachel Ann Grenier, Davide Iannone, Karla Lahoz, Kyle J Melville, Marianne De Sousa Nascimento, Leticia Navarro, Sai Parthasarathi, Piilonen, Najma Rahman, Jeffrey Smith, B Stewart, Newton Temoke, Chloe Tworek, Isabelle Whittle