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Bursts from Space: MeerKAT - The first citizen science project dedicated to commensal radio transients
The newest generation of radio telescopes are 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 transie...
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creator | Andersson, Alex Lintott, Chris Fender, Rob Bright, Joe Carotenuto, Francesco Driessen, Laura Espinasse, Mathilde Gaseahalwe, Kelebogile Heywood, Ian Alexander J van der Horst Motta, Sara Rhodes, Lauren Tremou, Evangelia Williams, David R A Woudt, Patrick Zhang, Xian Bloemen, Steven Groot, Paul Vreeswijk, Paul Giarratana, Stefano Saikia, Payaswini Andersson, Jonas Lizzeth Ruiz Arroyo Baert, Loïc Baumann, Matthew Domainko, Wilfried Eschweiler, Thorsten sythe, Tim Gaudenzi, Sauro Grenier, Rachel Ann Iannone, Davide Lahoz, Karla Melville, Kyle J De Sousa Nascimento, Marianne Navarro, Leticia Parthasarathi, Sai Piilonen Rahman, Najma Smith, Jeffrey Stewart, B Newton Temoke Tworek, Chloe Whittle, Isabelle |
description | The newest generation of radio telescopes are 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 ~89000 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, whilst we use the classifications from volunteers to develop machine learning techniques for finding transients. |
doi_str_mv | 10.48550/arxiv.2304.14157 |
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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 ~89000 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, whilst we use the classifications from volunteers to develop machine learning techniques for finding transients.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.2304.14157</doi><oa>free_for_read</oa></addata></record> |
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subjects | Active galactic nuclei Binary stars Bursts Classification Machine learning Pulsars Radio sources (astronomy) Radio telescopes Sensitivity Stellar flares Telescopes X ray binaries X ray stars |
title | Bursts from Space: MeerKAT - The first citizen science project dedicated to commensal radio transients |
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