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A challenge to the standard cosmological model

Astrophysical Journal Letters (2022)

Authors:

Nathan Secrest, Sebastian VON HAUSEGGER, Mohamed Rameez, Roya Mohayaee, Subir Sarkar
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Discovery of a radio emitting neutron star with an ultra-long spin period of 76 seconds

(2022)

Authors:

Manisha Caleb, Ian Heywood, Kaustubh Rajwade, Mateusz Malenta, Benjamin Stappers, Ewan Barr, Weiwei Chen, Vincent Morello, Sotiris Sanidas, Jakob van den Eijnden, Michael Kramer, David Buckley, Jaco Brink, Sara Elisa Motta, Patrick Woudt, Patrick Weltevrede, Fabian Jankowski, Mayuresh Surnis, Sarah Buchner, Mechiel Christiaan Bezuidenhout, Laura Nicole Driessen, Rob Fender
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A Multiwavelength Study of GRS 1716-249 in Outburst: Constraints on Its System Parameters

The Astrophysical Journal American Astronomical Society 932:1 (2022) 38

Authors:

Payaswini Saikia, David M Russell, MC Baglio, DM Bramich, Piergiorgio Casella, Maria Diaz Trigo, Poshak Gandhi, Jiachen Jiang, Thomas Maccarone, Roberto Soria, Hind Al Noori, Aisha Al Yazeedi, Kevin Alabarta, Tomaso Belloni, Marion Cadolle Bel, Chiara Ceccobello, Stéphane Corbel, Rob Fender, Elena Gallo, Jeroen Homan, Karri Koljonen, Fraser Lewis, Sera B Markoff, James CA Miller-Jones, Jerome Rodriguez, Thomas D Russell, Tariq Shahbaz, Gregory R Sivakoff, Vincenzo Testa, Alexandra J Tetarenko
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Improved search for invisible modes of nucleon decay in water with the SNO+detector

Physical Review D American Physical Society (APS) 105:11 (2022) 112012

Authors:

A Allega, MR Anderson, S Andringa, M Askins, DJ Auty, A Bacon, N Barros, F Barão, R Bayes, EW Beier, TS Bezerra, A Bialek, SD Biller, E Blucher, E Caden, EJ Callaghan, S Cheng, M Chen, O Chkvorets, B Cleveland, D Cookman, J Corning, MA Cox, R Dehghani, C Deluce, MM Depatie, J Dittmer, KH Dixon, F Di Lodovico, E Falk, N Fatemighomi, R Ford, K Frankiewicz, A Gaur, OI González-Reina, D Gooding, C Grant, J Grove, AL Hallin, D Hallman, J Hartnell, WJ Heintzelman, RL Helmer, J Hu, R Hunt-Stokes, SMA Hussain, AS Inácio, CJ Jillings, T Kaptanoglu, P Khaghani, H Khan, JR Klein, LL Kormos, B Krar, C Kraus, CB Krauss, T Kroupová, I Lam, BJ Land, I Lawson, L Lebanowski, J Lee, C Lefebvre, J Lidgard, YH Lin, V Lozza, M Luo, A Maio, S Manecki, J Maneira, RD Martin, N McCauley, AB McDonald, M Meyer, C Mills, I Morton-Blake, S Naugle, LJ Nolan, HM O’Keeffe, GD Orebi Gann, J Page, W Parker, J Paton, SJM Peeters, L Pickard, P Ravi, A Reichold, S Riccetto, R Richardson, M Rigan, J Rose, J Rumleskie, I Semenec, P Skensved, M Smiley, R Svoboda, B Tam, J Tseng, E Turner, S Valder, JGC Veinot, CJ Virtue, E Vázquez-Jáuregui, J Wang, M Ward, JJ Weigand, JD Wilson, JR Wilson, A Wright, JP Yanez, S Yang, M Yeh, S Yu, T Zhang, Y Zhang, K Zuber, A Zummo
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AutoSourceID-Light

Astronomy & Astrophysics EDP Sciences 662 (2022) A109-A109

Authors:

F Stoppa, P Vreeswijk, S Bloemen, S Bhattacharyya, S Caron, G Jóhannesson, R Ruiz de Austri, C van den Oetelaar, G Zaharijas, PJ Groot, E Cator, G Nelemans

Abstract:

Aims.With the ever-increasing survey speed of optical wide-field telescopes and the importance of discovering transients when they are still young, rapid and reliable source localization is paramount. We present AutoSourceID-Light (ASID-L), an innovative framework that uses computer vision techniques that can naturally deal with large amounts of data and rapidly localize sources in optical images.Methods.We show that the ASID-L algorithm based on U-shaped networks and enhanced with a Laplacian of Gaussian filter provides outstanding performance in the localization of sources. A U-Net network discerns the sources in the images from many different artifacts and passes the result to a Laplacian of Gaussian filter that then estimates the exact location.Results.Using ASID-L on the optical images of the MeerLICHT telescope demonstrates the great speed and localization power of the method. We compare the results with SExtractor and show that our method outperforms this more widely used method. ASID-L rapidly detects more sources not only in low- and mid-density fields, but particularly in areas with more than 150 sources per square arcminute. The training set and code used in this paper are publicly available.
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