New supernova remnant candidates in the LOFAR Two Metre Sky Survey
K. Tsalapatas, M. Arias, T. Shimwell, K. Rajwade, M. J. Hardcastle,, and A. Drabent

TL;DR
This study utilizes LOFAR low-frequency radio survey data to identify 14 new supernova remnant candidates in our Galaxy, addressing the gap between predicted and observed SNR numbers, and highlights the need for follow-up X-ray observations for confirmation.
Contribution
The paper reports the discovery of 14 new SNR candidates using LOFAR data and introduces a methodology combining radio morphology and MIR data to identify missing remnants.
Findings
Discovered 14 new SNR candidates based on radio morphology and MIR absence.
Reassessed 24 known SNR candidates and analyzed their spectral indices.
Highlighted the importance of low-frequency radio surveys in uncovering missing SNRs.
Abstract
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. We aim to find missing SNRs using proprietary data from the LOFAR Two-Metre Sky Survey (LoTSS) at 144~MHz. We used LoTSS total intensity maps of two Galactic regions, one with and , and the other with and , in addition to mid-infrared (MIR) data from…
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