AT 2021loi: A Bowen Fluorescence Flare with a Rebrightening Episode Occurring in a Previously Known AGN

The Astrophysical Journal American Astronomical Society 953:1 (2023) 32-32

Authors:

Lydia Makrygianni, Benny Trakhtenbrot, Iair Arcavi, Claudio Ricci, Marco C Lam, Assaf Horesh, Itai Sfaradi, K Azalee Bostroem, Griffin Hosseinzadeh, D Andrew Howell, Craig Pellegrino, Rob Fender, David A Green, David RA Williams, Joe Bright

Abstract:

AT 2021loi is an optical-ultraviolet transient located at the center of its host galaxy. Its spectral features identify it as a member of the ``Bowen Fluorescence Flare'' (BFF) class. The first member of this class was considered to be related to a tidal disruption event, but enhanced accretion onto an already active supermassive black hole was suggested as an alternative explanation. AT 2021loi, having occurred in a previously-known unobscured AGN, strengthens the latter interpretation. Its light curve is similar to those of previous BFFs, showing a rebrightening approximately one year after the main peak (which was not explicitly identified, but might be the case, in all previous BFFs). An emission feature around 4680 A, seen in the pre-flare spectrum, strengthens by a factor of $\sim$2 around the optical peak of the flare, and is clearly seen as a double peaked feature then, suggesting a blend of NIII $\lambda 4640$ with HeII $\lambda4686$ as its origin. The appearance of OIII $\lambda$3133 and possible NIII $\lambda\lambda4097,4103$ (blended with H$\delta$) during the flare further support a Bowen Fluorescence classification. Here, we present ZTF, ATLAS, Keck, Las Cumbres Observatory, NEOWISE-R, $Swift$, AMI and VLA observations of AT 2021loi, making it one of the best observed BFFs to date. AT 2021loi thus provides some clarity on the nature of BFFs but also further demonstrates the diversity of nuclear transients.Comment: Submitted to ApJ. This version addresses comments from the refere

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.

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