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Detection of the longest periodic variability in 6.7 GHz methanol masers with iMet

Published online by Cambridge University Press:  07 February 2024

Yoshihiro Tanabe*
Affiliation:
Center for Astronomy, Ibaraki University, 2-1-1 Bunkyo, Mito, Ibaraki 310-8512, Japan.
Yoshinori Yonekura
Affiliation:
Center for Astronomy, Ibaraki University, 2-1-1 Bunkyo, Mito, Ibaraki 310-8512, Japan.

Abstract

Long-term monitoring observations of the 6.7 GHz methanol masers by Hitachi 32-m operated by Ibaraki University, which are named as “the Ibaraki 6.7 GHz Methanol Maser Monitor (iMet)”, have revealed that the periods of the flux variability of 6.7 GHz methanol masers in the five high-mass star-forming regions G05.900-0.430, G06.795-0.257, G10.472+0.027, G12.209-0.102 and G13.657-0.599 are over 1000 days. These periods are approximately twice the longest known period of 6.7 GHz methanol masers of 668 days for G196.45-1.68. The facts that the flux variation patterns show symmetric sine curves and that the luminosity of the central protostar and periods of maser flux variation are consistent with the expected period-luminosity (PL) relation suggest that the mechanism of maser flux variability of G05.900-0.430, G10.472+0.027 and G12.209-0.102 can be explained by protostellar pulsation instability. From the period-luminosity relation, central stars of these three sources are expected to be very high-mass protostars with a mass of : ∼40 M and a mass accretion rate of : ∼2×10-2 Myr-1. On the other hand, G06.795-0.257 and G13.657-0.599 have luminosities that are an order of magnitude smaller than that expected from PL relation, and the variation patterns are intermittent, suggesting a variation mechanism of these sources originated from binary system.

Type
Contributed Paper
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Astronomical Union

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References

Araya, E. D., et al. 2010, ApJL 717, L133.10.1088/2041-8205/717/2/L133CrossRefGoogle Scholar
Goedhart, S., Gaylard, M. J., & van der Walt, D. J. 2003, MNRAS, 339, L33 10.1046/j.1365-8711.2003.06426.xCrossRefGoogle Scholar
Goedhart, S., Gaylard, M. J., & van der Walt, D. J. 2004, MNRAS, 355, 553 10.1111/j.1365-2966.2004.08340.xCrossRefGoogle Scholar
Green, J. A., et al. 2010, MNRAS, 409, 913 10.1111/j.1365-2966.2010.17376.xCrossRefGoogle Scholar
Inayoshi, K., et al. 2013, ApJ, 769, L20 10.1088/2041-8205/769/2/L20CrossRefGoogle Scholar
Lomb, N. R. 1976, Ap&SS, 39, 447 Google Scholar
Maswanganye, J. P., el al. 2015, MNRAS, 446, 2730Google Scholar
Parfenov, S. Y. & Sobolev, A. M. 2014, MNRAS, 444, 620 10.1093/mnras/stu1481CrossRefGoogle Scholar
Reid, M. J., Dame, T. M., Menten, K. M., & Brunthaler, A., 2016, ApJ, 823, 77 10.3847/0004-637X/823/2/77CrossRefGoogle Scholar
Sannna, A., et al. 2014, ApJ, 781, 108 10.1088/0004-637X/781/2/108CrossRefGoogle Scholar
Scargle, J. D. 1982, ApJ, 263, 835 10.1086/160554CrossRefGoogle Scholar
Sugiyama, K., et al. 2017, PASJ, 69, 59 10.1093/pasj/psx034CrossRefGoogle Scholar
Tanabe, Y., Yonekura, Y., & MacLeod, G. C. 2023, PASJ, 75, 351 10.1093/pasj/psad002CrossRefGoogle Scholar
Urquhart, J. S., et al. 2018, MNRAS, 473, 1059 10.1093/mnras/stx2258CrossRefGoogle Scholar
van der Walt, D. J. 2011, AJ, 141, 152 10.1088/0004-6256/141/5/152CrossRefGoogle Scholar
Yonekura, Y., et al. 2016, PASJ, 68, 74 10.1093/pasj/psw045CrossRefGoogle Scholar