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A spatially resolved spectral analysis of giant radio galaxies with MeerKAT

Monthly Notices of the Royal Astronomical Society 537:1 (2024) 272-284

Authors:

KKL Charlton, J Delhaize, K Thorat, I Heywood, MJ Jarvis, MJ Hardcastle, F An, I Delvecchio, CL Hale, IH Whittam, M Brüggen, L Marchetti, L Morabito, Z Randriamanakoto, SV White, AR Taylor
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MeerKAT discovery of a MIGHTEE Odd Radio Circle

Monthly Notices of the Royal Astronomical Society: Letters Oxford University Press (OUP) 537:1 (2024) l42-l48

Authors:

Ray P Norris, Bärbel S Koribalski, Catherine L Hale, Matt J Jarvis, Peter J Macgregor, A Russell Taylor
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Constraints on compact objects from the Dark Energy Survey five-year supernova sample

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) (2024) stae2614

Authors:

P Shah, TM Davis, M Vincenzi, P Armstrong, D Brout, R Camilleri, L Galbany, J García-Bellido, MSS Gill, O Lahav, J Lee, C Lidman, A Möller, M Sako, BO Sánchez, M Sullivan, L Whiteway, P Wiseman, S Allam, M Aguena, S Bocquet, D Brooks, DL Burke, A Carnero Rosell, LN da Costa, MES Pereira, S Desai, S Dodelson, P Doel, I Ferrero, B Flaugher, J Frieman, E Gaztanaga, D Gruen, RA Gruendl, G Gutierrez, K Herner, SR Hinton, DL Hollowood, K Honscheid, DJ James, K Kuehn, S Lee, JL Marshall, J Mena-Fernández, R Miquel, J Myles, A Palmese, A Pieres, AA Plazas Malagón, A Roodman, S Samuroff, E Sanchez, I Sevilla-Noarbe, M Smith, E Suchyta, MEC Swanson, G Tarle, C To, V Vikram, N Weaverdyck
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Anomaly Detection and RFI Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches

ArXiv 2411.16556 (2024)

Authors:

Ben Jacobson-Bell, Steve Croft, Carmen Choza, Alex Andersson, Daniel Bautista, Vishal Gajjar, Matthew Lebofsky, David HE MacMahon, Caleb Painter, Andrew PV Siemion
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Tomographic constraints on the production rate of gravitational waves from astrophysical sources

Physical Review D American Physical Society (APS) 110:10 (2024) ARTN 103544

Authors:

David Alonso, Mehraveh Nikjoo, Arianna I Renzini, Emilio Bellini, Pedro G Ferreira

Abstract:

Using an optimal quadratic estimator, we measure the large-scale cross-correlation between maps of the stochastic gravitational-wave intensity, constructed from the first three LIGO-Virgo observing runs, and a suite of tomographic samples of galaxies covering the redshift range z≲2. We do not detect any statistically significant cross-correlation, but the tomographic nature of the data allows us to place constraints on the (bias-weighted) production rate density of gravitational waves by astrophysical sources as a function of cosmic time. Our constraints range from bω˙GW<3.0×10-9 Gyr-1 at z∼0.06 to bω˙GW<2.7×10-7 Gyr-1 at z∼1.5 (95% confidence level), assuming a frequency spectrum of the form f2/3 (corresponding to an astrophysical background of binary mergers), and a reference frequency fref=25 Hz. Although these constraints are ∼2 orders of magnitude higher than the expected signal, we show that a detection may be possible with future experiments.
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