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Discovery of Main-sequence Radio Pulse emitters from widefield sky surveys

Published online by Cambridge University Press:  01 July 2025

Barnali Das*
Affiliation:
CSIRO, Space and Astronomy, Bentley, WA, Australia
Matt E. Shultz
Affiliation:
Department of Physics and Astronomy, University of Delaware, Newark, DE, USA
Joshua Pritchard
Affiliation:
CSIRO, Space and Astronomy, Epping, NSW, Australia
Kovi Rose
Affiliation:
CSIRO, Space and Astronomy, Epping, NSW, Australia Sydney Institute for Astronomy, School of Physics, The University of Sydney, Camperdown, NSW, Australia
Laura Nicole Driessen
Affiliation:
Sydney Institute for Astronomy, School of Physics, The University of Sydney, Camperdown, NSW, Australia
Yuanming Wang
Affiliation:
Centre for Astrophysics and Supercomputing, Swinburne University of Technology, Hawthorn, VIC, Australia
Andrew Zic
Affiliation:
CSIRO, Space and Astronomy, Epping, NSW, Australia
Tara Murphy
Affiliation:
Sydney Institute for Astronomy, School of Physics, The University of Sydney, Camperdown, NSW, Australia
Gregory Sivakoff
Affiliation:
Department of Physics, University of Alberta, Edmonton, AB, Canada
*
Corresponding author: Barnali Das; Email: Barnali.Das@csiro.au
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Abstract

Magnetic AB stars are known to produce periodic radio pulses by the electron cyclotron maser emission (ECME) mechanism. Only 19 such stars, known as ‘Main-sequence Radio Pulse emitters’ (MRPs), are currently known. The majority of MRPs have been discovered through targeted observation campaigns that involve carefully selecting a sample of stars that are likely to produce ECME and which can be detected by a given telescope within reasonable amount of time. These selection criteria inadvertently introduce bias in the resulting sample of MRPs, which affects subsequent investigation of the relation between ECME properties and stellar magnetospheric parameters. The alternative is to use all-sky surveys. Until now, MRP candidates obtained from surveys were identified based on their high circular polarisation ($\gtrsim 30\%$). In this paper, we introduce a complementary strategy, which does not require polarisation information. Using multi-epoch data from the Australian SKA Pathfinder (ASKAP) telescope, we identify four MRP candidates based on the variability in the total intensity light curves. Follow-up observations with the Australia Telescope Compact Array (ATCA) confirm three of them to be MRPs, thereby demonstrating the effectiveness of our strategy. With the expanded sample, we find that ECME is affected by temperature and the magnetic field strength, consistent with past results. There is, however, a degeneracy regarding how the two parameters govern the ECME luminosity for magnetic A and late-B stars (effective temperature $\lesssim 16$ kK). The current sample is also inadequate to investigate the role of stellar rotation, which has been shown to play a key role in driving incoherent radio emission.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© Crown Copyright – Commonwealth Scientific and Industrial Research Organisation and the Author(s), 2025. Published by Cambridge University Press on behalf of Astronomical Society of Australia
Figure 0

Table 1. The ephemerides used to calculate the rotational phases of the star (see Appendix A).

Figure 1

Figure 1. The light curves of the four targets that were identified as MRP candidates based on the variation of their flux densities (total intensity). The errorbars associated with the rotational phases indicate the integration times corresponding to the flux density measurements. All data were acquired with the ASKAP. The data are phased using the ephemerides given in Table 1. The rotational phase window chosen to cover with the ATCA are marked with gray shaded regions. Note that the actual coverages of the rotational phases are slightly different from those shown here.

Figure 2

Figure 2. The dynamic spectra of HD 83625 in Stokes I and V up to a frequency of $2\,500$ MHz, averaged with 5 min time resolution and 32 MHz frequency resolution. The horizontal gaps mark the flagged channels.

Figure 3

Figure 3. The Stokes I (black) and V (red) light curves of HD 83625 extracted from the visibility domain in three frequency subbands. The integration time for each measurement is 5 min. The shaded regions indicate the 3$\sigma$ variation about the median flux density away from the phases of enhancement.

Figure 4

Figure 4. The peak flux density spectrum for the pulse observed from HD 83625. The shaded regions indicate 3$\sigma$ variations about the basal flux density spectrum.

Figure 5

Figure 5. The dynamic spectra of HD 105382 in Stokes I and V over 1–3 GHz, averaged with 5 min time resolution and 32 MHz frequency resolution.

Figure 6

Figure 6. The light curves of HD 105382 over 1–3 GHz in Stokes I (black) and Stokes V (red). The integration time for each data point is 5 min. The shaded regions indicate the $3\sigma$ variation about the median flux density away from the phases of enhancement.

Figure 7

Figure 7. The peak flux density spectrum for the pulse observed from HD 105382. The shaded regions indicate the basal flux densities $\pm 3\sigma$.

Figure 8

Figure 8. The dynamic spectra of HD 149764 in Stokes I and V over 1–3 GHz, averaged with 5 min time resolution and 32 MHz frequency resolution. The curve patterns in the top panel (Stokes I) are due to contamination from other sources in the field (rather than emission from our target). Since these emissions are not circularly polarised, the bottom panel (Stokes V) remains free of contamination, clearly highlighting pulses from HD 149764.

Figure 9

Figure 9. The light curves of HD 149764 over 1–3 GHz in Stokes I (black) and Stokes V (blue). The integration time for each point is 5 min. The shaded regions indicate the $3\sigma$ variation about the median flux density away from the phases of enhancement.

Figure 10

Table 2. The available stellar parameters for the three MRPs (rows 1–3) along with their radio properties reported in this work (rotation periods are already provided in Table 1). The flux densities correspond to $1.5 $ GHz. The distances are obtained from GAIA parallaxes (Gaia Collaboration et al. 2016). The stellar parameters for HD 83625 were obtained from Bagnulo et al. (2015) and Shultz et al. (in preparation); the parameters for HD 105382 were obtained from Alecian et al. (2011), Briquet, Aerts, & De Cat (2001), Shultz et al. (2018, 2019c); and those for HD 149764 were obtained from Bagnulo et al. (2015), Renson & Catalano (2001). The bottom row lists the stellar parameters for the star HD 151965, which, although could not be confirmed as an MRP, exhibits radio properties uncharacteristic of incoherent radio emission (Section 6.1). The corresponding stellar parameters are obtained from Bohlender et al. (1993), Netopil et al. (2017) and Shultz et al. in prep., and the distance is obtained from GAIA parallax (Gaia Collaboration et al. 2016). The incoherent flux density measurement corresponds to a frequency of 2 GHz.

Figure 11

Figure 10. The peak flux density spectrum for the pulse observed from HD 149764. The shaded regions indicate the basal flux densities $\pm 3\sigma$.

Figure 12

Figure 11. The dynamic spectra for the ATCA data obtained for HD 151965 in Stokes I (top) and Stokes V (bottom) obtained by averaging the data to a resolution of 10 min and 64 MHz, respectively in time and frequency. The times on the horizontal axis are relative times since the start of the observation.

Figure 13

Figure 12. Top: The Stokes I light curve of HD 151965 obtained from image domain by averaging over the entire available bandwidth. The horizontal error bars represent the averaging time intervals for the respective flux density measurements (1.5 h or $\approx 0.04$ stellar rotational phase). Bottom: The corresponding variation in the fractional circular polarisation.

Figure 14

Figure 13. Variation of spectral ECME luminosity with stellar effective temperature (left) and maximum surface magnetic field strength (right). The flux density measurements of all the existing MRPs are obtained at 700 MHz except for those enclosed in squares, for which sub-GHz ECME measurements are not available (Leto et al. 2019, 2020a). The flux densities for the newly discovered MRPs, marked as ‘stars’, correspond to a frequency of 1.5 GHz. The only confirmed non-MRP, HD 37479 is also shown in red. The ‘$+$’ symbol represents HD 151965, which remains an MRP candidate (see Section 6.1).

Figure 15

Figure 14. The spectral ECME luminosity against the quantity $(B^0_\mathrm{max}R^2)/P_\mathrm{rot}$, which is the quantity that drives the incoherent radio emission (Leto et al. 2021; Shultz et al. 2022; Owocki et al. 2022). The new MRPs are highlighted as ‘stars’. HD 151965, which remains an MRP candidate, is also shown with a ‘$+$’ symbol.

Figure 16

Figure A1. Period determination from TESS photometry. Left: full periodogram (top) and (bottom) periodogram after prewhitening with the rotational frequency and its first harmonic (pink) and after prewhitening all significant harmonics of the rotational frequency (black). The dashed green curve shows a noise model fit to the fully prewhitened periodogram; the solid green curve indicates 4$\times$ the noise model, with frequencies above this threshold counting as significant. The red dash indicates the rotational frequency; dark blue dashes indicate harmonics; light blue dashes indicate significant frequencies not associated with rotation. Right: TESS light curves folded with the rotational frequency (top); different colours indicate different TESS sectors, while the red curve shows the harmonic model. Residuals after subtraction of the model are shown on the bottom.