http://arxiv.org/abs/2206.02751
We carry out a classification of the glitch amplitudes of radio pulsars using Extreme Deconvolution based Gaussian Mixture Model, where the observed uncertainties in the glitch amplitude $\left(\frac{\Delta \nu}{\nu}\right)$ are taken into account. We then use information theory criteria such as AIC and BIC to determine the optimum number of glitch classes. We find that both AIC and BIC show that the pulsar glitch amplitudes can be optimally described using a bimodal distribution. The mean values of the fractional glitch amplitude for the two components are equal to $5.9 \times 10^{-9}$ and $1.3 \times 10^{-6}$, respectively. The unified dataset and analysis codes used in this work have been made publicly available.
S. Arumugam and S. Desai
Tue, 7 Jun 22
34/70
Comments: 5 pages, 2 figures
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