A new small glitch in Vela discovered with a hidden Markov model

Author:

Dunn L12ORCID,Melatos A12,Espinoza C M34,Antonopoulou D5,Dodson R6ORCID

Affiliation:

1. School of Physics, University of Melbourne , Parkville, VIC 3010, Australia

2. Australian Research Council Centre of Excellence for Gravitational Wave Discovery (OzGrav), University of Melbourne , Parkville, VIC 3010, Australia

3. Departamento de Física, Universidad de Santiago de Chile (USACH) , Av. Victor Jara 3493, Estación Central, Chile

4. Center for Interdisciplinary Research in Astrophysics and Space Sciences (CIRAS), Universidad de Santiago de Chile , Estación Central, Chile

5. Jodrell Bank Centre for Astrophysics, School of Physics and Astronomy, The University of Manchester , Manchester M13 9PL, UK

6. International Centre for Radio Astronomy Research, University of Western Australia , Crawley, WA 6009, Australia

Abstract

ABSTRACT A striking feature of the Vela pulsar (PSR J0835−4510) is that it undergoes sudden increases in its spin frequency, known as glitches, with a fractional amplitude of the order of 10−6 approximately every 900 d. Glitches of smaller magnitudes are also known to occur in Vela. Their distribution in both time and amplitude is less well constrained but equally important for understanding the physical process underpinning these events. In order to better understand these small glitches in Vela, an analysis of high-cadence observations from the Mount Pleasant Observatory is presented. A hidden Markov model (HMM) is used to search for small, previously undetected glitches across 24 yr of observations covering MJD 44929 to MJD 53647. One previously unknown glitch is detected around MJD 48636 (1992 January 15), with fractional frequency jump Δf/f = (8.19 ± 0.04) × 10−10 and frequency derivative jump $\Delta \dot{f}/\dot{f} = (2.98 \pm 0.01) \times 10^{-4}$ . Two previously reported small glitches are also confidently redetected, and independent estimates of their parameters are reported. Excluding these events, 90 per cent confidence frequentist upper limits on the sizes of missed glitches are also set, with a median upper limit of $\Delta f^{90~{{\% }}}/f = 1.35 \times 10^{-9}$. Upper limits of this kind are enabled by the semi-automated and computationally efficient nature of the HMM, and are crucial to informing studies that are sensitive to the lower end of the glitch size distribution.

Funder

Australian Research Council

Chilean National Agency for Research and Development

EPSRC

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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