New supernova remnant candidates in the LOFAR Two Metre Sky Survey

Context. In spite of their key role in galaxy evolution and several decades of observational efforts, the census of supernova remnants (SNRs) in our Galaxy remains incomplete. Theoretical predictions based on the local supernova rate estimate the expected number of SNRs in the Galaxy to be ≳1000. By contrast, the number of detected SNRs amounts to about 300. High-resolution, wide-area radio surveys at low frequencies are ideal tools with which to find missing SNRs, given the prominence of these sources at low radio frequencies. Aims. We aim to find missing SNRs using proprietary data from the LOFAR Two-Metre Sky Survey (LoTSS) at 144 MHz. Methods. We used LoTSS total intensity maps of two Galactic regions, one with 39° < l < 66° and | b | < 2.5°, and the other with 145° < l < 150° and | b | < 3°, in addition to mid-infrared (MIR) data from the Wide-field Infrared Survey Explorer (WISE) all-sky survey to search for SNR candidates. Results. We report the discovery of 14 new SNR candidates selected on the basis of their morphology at 144 MHz and a lack of MIR emission. We also follow up on 24 previously reported SNR candidates, inferring their spectral index between the LoTSS frequency (144 MHz) and the frequency at which they were reported. We confirm that 6 of these 24 sources have a non-thermal spectral index, whereas another 4 have a thermal index and are thus rejected as SNR candidates; our study is inconclusive regarding the remaining 14 sources. The majority of the new SNR candidates are small in angular size (<20’) and have low surface brightness at 1 GHz (≲10 −21 W m −2 Hz −1 sr −1 ). Additionally, most of them are located in a Galactic region with 39° < l < 60° and | b | < 2.5°. Conclusions. The high resolution and sensitivity of LoTSS observations has resulted in the detection of 14 new SNR candidates. In order to unambiguously confirm the SNR nature of these candidates, follow-up X-ray observations are required with facilities such as eROSITA.

Authors

Institutions

Publication Details

Journal
Astronomy and Astrophysics
Published
2024-08-29
DOI
https://doi.org/10.1051/0004-6361/202450492
Citations
2
Primary Topic
Astrophysics and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
1.32

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

New supernova remnant candidates in the LOFAR Two Metre Sky Survey

A. Drabent, Maria Arias, Kaustubh M. Rajwade, M. J. Hardcastle et al.
2 citations
Astronomy and Astrophysics
Astrophysics and Cosmic Phenomena
1.32
article

New supernova remnant candidates in the LOFAR Two Metre Sky Survey

A. Drabent, Maria Arias, Kaustubh M. Rajwade, M. J. Hardcastle, T. W. Shimwell, K. Tsalapatas
article en
2 citations

Abstract

Context. In spite of their key role in galaxy evolution and several decades of observational efforts, the census of supernova remnants (SNRs) in our Galaxy remains incomplete. Theoretical predictions based on the local supernova rate estimate the expected number of SNRs in the Galaxy to be ≳1000. By contrast, the number of detected SNRs amounts to about 300. High-resolution, wide-area radio surveys at low frequencies are ideal tools with which to find missing SNRs, given the prominence of these sources at low radio frequencies. Aims. We aim to find missing SNRs using proprietary data from the LOFAR Two-Metre Sky Survey (LoTSS) at 144 MHz. Methods. We used LoTSS total intensity maps of two Galactic regions, one with 39° < l < 66° and | b | < 2.5°, and the other with 145° < l < 150° and | b | < 3°, in addition to mid-infrared (MIR) data from the Wide-field Infrared Survey Explorer (WISE) all-sky survey to search for SNR candidates. Results. We report the discovery of 14 new SNR candidates selected on the basis of their morphology at 144 MHz and a lack of MIR emission. We also follow up on 24 previously reported SNR candidates, inferring their spectral index between the LoTSS frequency (144 MHz) and the frequency at which they were reported. We confirm that 6 of these 24 sources have a non-thermal spectral index, whereas another 4 have a thermal index and are thus rejected as SNR candidates; our study is inconclusive regarding the remaining 14 sources. The majority of the new SNR candidates are small in angular size (<20’) and have low surface brightness at 1 GHz (≲10 −21 W m −2 Hz −1 sr −1 ). Additionally, most of them are located in a Galactic region with 39° < l < 60° and | b | < 2.5°. Conclusions. The high resolution and sensitivity of LoTSS observations has resulted in the detection of 14 new SNR candidates. In order to unambiguously confirm the SNR nature of these candidates, follow-up X-ray observations are required with facilities such as eROSITA.

Astronomy and AstrophysicsVol. 690
Leiden University (NL), University of Hertfordshire (GB), University of Oxford (GB), Thüringer Landessternwarte Tautenburg (DE), Netherlands Institute for Radio Astronomy (NL)
University of Hertfordshire, Science Foundation Ireland, Bundesministerium für Bildung und Forschung, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Max-Planck-Gesellschaft, Centre National de la Recherche Scientifique, Istituto Nazionale di Astrofisica, Université d'Orléans, Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen, Gauss Centre for Supercomputing, Observatoire de Paris, Université de Recherche Paris Sciences et Lettres, Science and Technology Facilities Council, DST-NRF Centre Of Excellence In Tree Health Biotechnology
Openalex Percentile: Top 11%
Astrophysics and Cosmic Phenomena
1.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.