The Observed Phase Space of Mass-loss History from Massive Stars Based on Radio Observations of a Large Supernova Sample

The Astrophysical Journal American Astronomical Society 979:2 (2025) 189

Authors:

Itai Sfaradi, Assaf Horesh, Rob Fender, Lauren Rhodes, Joe Bright, David Williams-Baldwin, Dave A Green

Abstract:

In this work, we study the circumstellar material (CSM) around massive stars, and the mass-loss rates depositing this CSM, using a large sample of radio observations of 325 core-collapse supernovae (CCSNe; only ~22% of them being detected). This sample comprises both archival data and our new observations of 99 CCSNe conducted with the AMI-LA radio array in a systematic approach devised to constrain the mass loss at different stages of stellar evolution. In the supernova (SN)–CSM interaction model, observing the peak of the radio emission of an SN provides the CSM density at a given radius (and therefore the mass-loss rate that deposited this CSM). On the other hand, limits on the radio emission, and/or on the peak of the radio emission provide a region in the CSM phase space that can be ruled out. Our analysis shows a discrepancy between the values of mass-loss rates derived from radio-detected and radio-nondetected SNe. Furthermore, we rule out mass-loss rates in the range of 2 × 10−6–10−4 M⊙ yr−1 for different epochs during the last 1000 yr before the explosion (assuming wind velocity of 10 km s−1) for the progenitors of ~80% of the Type II supernovae (SNe II) in our sample. In addition, we rule out the ranges of mass-loss rates suggested for red supergiants for ~50% of the progenitors of SNe II in our sample. We emphasize here that these results take a step forward in constraining mass loss in winds from a statistical point of view.

IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors

ArXiv 2501.02473 (2025)

Authors:

Noé Dia, MJ Yantovski-Barth, Alexandre Adam, Micah Bowles, Laurence Perreault-Levasseur, Yashar Hezaveh, Anna Scaife

Supernova remnants on the outskirts of the Large Magellanic Cloud

Astronomy & Astrophysics EDP Sciences 693 (2025) l15

Authors:

Manami Sasaki, Federico Zangrandi, Miroslav Filipović, Rami ZE Alsaberi, Jordan D Collier, Frank Haberl, Ian Heywood, Patrick Kavanagh, Bärbel Koribalski, Roland Kothes, Sanja Lazarević, Pierre Maggi, Chandreyee Maitra, Sean Points, Zachary J Smeaton, Velibor Velović

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

MIGHTEE: the continuum survey Data Release 1

Monthly Notices of the Royal Astronomical Society Oxford University Press 536:3 (2024) 2187-2211

Authors:

Catherine Hale, Ian Heywood, Matthew Jarvis, Imogen Whittam, Philip Best, Fangxia An, Rebecca Bowler, Ian Harrison, Allison Matthews, Dan Smith, Russ Taylor, Mattia Vaccari

Abstract:

The MeerKAT International GHz Tiered Extragalactic Exploration Survey (MIGHTEE) is one of the large survey projects using the MeerKAT telescope, covering four fields that have a wealth of ancillary data available. We present Data Release 1 of the MIGHTEE continuum survey, releasing total intensity images and catalogues over ∼20 deg2, across three fields at ∼1.2-1.3 GHz. This includes 4.2 deg2 over the Cosmic Evolution Survey (COSMOS) field, 14.4 deg2 over the XMM Large-Scale Structure (XMM-LSS) field and deeper imaging over 1.5 deg2 of the Extended Chandra Deep Field South (CDFS). We release images at both a lower resolution (7–9 arcsec) and higher resolution (∼5 arcsec). These images have central rms sensitivities of ∼1.3 −2.7 μJy beam−1 (∼1.2 −3.6 μJy beam−1) in the lower (higher) resolution images respectively. We also release catalogues comprised of ∼144 000 (∼114 000) sources using the lower (higher) resolution images. We compare the astrometry and flux-density calibration with the Early Science data in the COSMOS and XMM-LSS fields and previous radio observations in the CDFS field, finding broad agreement. Furthermore, we extend the source counts at the ∼10 μJy level to these larger areas (∼20 deg2) and, using the areal coverage of MIGHTEE we measure the sample variance for differing areas of sky. We find a typical sample variance of 10-20percnt for 0.3 and 0.5 sq. deg. sub-regions at S1.4 ≤ 200 μJy, which increases at brighter flux densities, given the lower source density and expected higher galaxy bias for these sources.