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Looking into the faintEst WIth MUSE (LEWIS): Exploring the nature of ultra-diffuse galaxies in the Hydra-I cluster

Astronomy & Astrophysics EDP Sciences 694 (2025) a276

Authors:

Chiara Buttitta, Enrichetta Iodice, Goran Doll, Johanna Hartke, Michael Hilker, Duncan A Forbes, Enrico M Corsini, Luca Rossi, Magda Arnaboldi, Michele Cantiello, Giuseppe D’Ago, Jesus Falcón-Barroso, Marco Gullieuszik, Antonio La Marca, Steffen Mieske, Marco Mirabile, Maurizio Paolillo, Marina Rejkuba, Marilena Spavone, Chiara Spiniello, Marc Sarzi

ZTF SN Ia DR2: The diversity and relative rates of the thermonuclear supernova population

Astronomy & Astrophysics EDP Sciences 694 (2025) a10

Authors:

G Dimitriadis, U Burgaz, M Deckers, K Maguire, J Johansson, M Smith, M Rigault, C Frohmaier, J Sollerman, L Galbany, Y-L Kim, C Liu, AA Miller, PE Nugent, A Alburai, P Chen, S Dhawan, M Ginolin, A Goobar, SL Groom, L Harvey, WD Kenworthy, SR Kulkarni, K Phan, B Popovic, RL Riddle, B Rusholme, TE Müller-Bravo, J Nordin, JH Terwel, A Townsend

Abstract:

The Zwicky Transient Facility SN Ia Data Release 2 (ZTF SN Ia DR2) contains more than 3000 Type Ia supernovae (SNe Ia), providing the largest homogeneous low-redshift sample of SNe Ia. Having at least one spectrum per event, this data collection is ideal for large-scale statistical studies of the photometric, spectroscopic and host-galaxy properties of SNe Ia, particularly of the rarer ‘peculiar’ sub-classes. In this paper we first present the method we developed to spectroscopically classify the SNe in the sample, and the techniques we used to model their multi-band light curves and explore their photometric properties. We then show a method to distinguish between the peculiar sub-types and the normal SNe Ia. We also explore the properties of their host galaxies and estimate their relative rates, focusing on the peculiar sub-types and their connection to the cosmologically useful SNe Ia. Finally, we discuss the implications of our study with respect to the progenitor systems of the peculiar SN Ia events.

The BTSbot-nearby discovery of SN 2024jlf: rapid, autonomous follow-up probes interaction in an 18.5 Mpc Type IIP supernova

ArXiv 2501.18686 (2025)

Authors:

Nabeel Rehemtulla, WV Jacobson-Galán, Avinash Singh, Adam A Miller, Charles D Kilpatrick, K-Ryan Hinds, Chang Liu, Steve Schulze, Jesper Sollerman, Theophile Jegou du Laz, Tomás Ahumada, Katie Auchettl, SJ Brennan, Michael W Coughlin, Christoffer Fremling, Anjasha Gangopadhyay, Daniel A Perley, Nikolaus Z Prusinski, Josiah Purdum, Yu-Jing Qin, Sara Romagnoli, Jennifer Shi, Jacob L Wise, Tracy X Chen, Steven L Groom, David O Jones, Mansi M Kasliwal, Roger Smith, Niharika Sravan, Shrinivas R Kulkarni

Molecular Gas Heating, Star Formation Rate Relations, and AGN Feedback in Infrared-luminous Galaxy Mergers

(2025)

Authors:

Duncan Farrah, Andreas Efstathiou, Jose Afonso, David L Clements, Kevin Croker, Evanthia Hatziminaoglou, Maya Joyce, Vianney Lebouteiller, Alaine Lee, Carol Lonsdale, Chris Pearson, Sara Petty, Lura K Pitchford, Dimitra Rigopoulou, Aprajita Verma, Lingyu Wang

Total Cost of Ownership and Evaluation of Google Cloud Resources for the ATLAS Experiment at the LHC

Computing and Software for Big Science Springer 9:1 (2025) 2

Authors:

G Aad, E Aakvaag, B Abbott, S Abdelhameed, K Abeling, NJ Abicht, SH Abidi, M Aboelela, A Aboulhorma, H Abramowicz, H Abreu, Y Abulaiti, BS Acharya, A Ackermann, C Adam Bourdarios, L Adamczyk, SV Addepalli, MJ Addison, J Adelman, A Adiguzel, T Adye, AA Affolder, Y Afik, MN Agaras

Abstract:

The ATLAS Google Project was established as part of an ongoing evaluation of the use of commercial clouds by the ATLAS Collaboration, in anticipation of the potential future adoption of such resources by WLCG grid sites to fulfil or complement their computing pledges. Seamless integration of Google cloud resources into the worldwide ATLAS distributed computing infrastructure was achieved at large scale and for an extended period of time, and hence cloud resources are shown to be an effective mechanism to provide additional, flexible computing capacity to ATLAS. For the first time a total cost of ownership analysis has been performed, to identify the dominant cost drivers and explore effective mechanisms for cost control. Network usage significantly impacts the costs of certain ATLAS workflows, underscoring the importance of implementing such mechanisms. Resource bursting has been successfully demonstrated, whilst exposing the true cost of this type of activity. A follow-up to the project is underway to investigate methods for improving the integration of cloud resources in data-intensive distributed computing environments and reducing costs related to network connectivity, which represents the primary expense when extensively utilising cloud resources.