Pulsars identified in the LOFAR Two-metre Sky Survey at 144 MHz
G. A. C. Rijkers, C. G. Bassa, J. R. Callingham, T. Shimwell
TL;DR
LoTSS DR2 enables astrometric identification of 80 known radio pulsars at 144 MHz through cross-matching with the ATNF catalog, achieving high recovery within the DR2 footprint. Flux densities are largely consistent with literature, with a couple of outliers explained by intrinsic pulsar behavior or propagation effects; polarization greatly boosts detectability, with 35 pulsars identified via polarization. The study demonstrates that polarization-based candidate selection, together with cross-matching to LoLSS at 54 MHz, is a powerful approach for finding new pulsars and constraining spectra, and it outlines a path for expanding the census with DR3/LoLSS data. The results underscore the value of wide-area imaging surveys for pulsar science at low frequencies and pave the way for spectral studies of a large pulsar sample from 54 to 168 MHz.
Abstract
We present the astrometric identification of 80 known radio pulsars as unresolved continuum sources detected at 144 MHz in the second data release of the LOFAR Two-metre Sky Survey (LoTSS DR2), which covers 27% of the Northern hemisphere. These identifications represent the majority ($\geq$ 86%) of radio pulsars present in the LoTSS DR2 footprint and provide independent celestial positions and flux densities at 144 MHz. We compare LoTSS flux densities with literature values from various image and time-domain observations and find good agreement for all but two pulsars. We attribute these flux density deviations to intrinsic pulsar properties (nulling and off-pulse emission). We investigate criteria to select promising pulsar candidates using data from the upcoming LoTSS release of the entire Northern sky ($δ>0^\circ$), as well as the LOFAR LBA Sky Survey (LoLSS) at 54 MHz (covering $δ>24^\circ$). Of the 80 detections, 35 (44%) were blindly redetected based on their linear or circular polarization. Therefore we conclude that candidate selection based on polarization properties is a promising approach. Candidate selection can be supplemented with spectral indices via cross-matching to LoLSS sources at 54 MHz, as the high sensitivity of LoTSS is not matched by image-domain surveys at higher frequencies.
