First results of the glitching pulsar monitoring programme at the Argentine Institute of Radioastronomy

Author:

Zubieta Ezequiel1,Missel Ryan2,Sosa Fiscella Valentina13,Lousto Carlos O43ORCID,del Palacio Santiago15,López Armengol Federico G3,García Federico16ORCID,Combi Jorge A167,Wang Linwei2,Combi Luciano83ORCID,Gancio Guillermo8,Negrelli Carolina6,Gutiérrez Eduardo M8ORCID

Affiliation:

1. Instituto Argentino de Radioastronomía (CCT La Plata , CONICET; CICPBA; UNLP), C.C.5, (1894) Villa Elisa, Buenos Aires, Argentina

2. Golisano College of Computing and Information Sciences, Rochester Institute of Technology Rochester , NY 14623, USA

3. Center for Computational Relativity and Gravitation, Rochester Institute of Technology , 85 Lomb Memorial Drive, Rochester, NY 14623, USA

4. School of Mathematical Sciences, Sciences Rochester Institute of Technology Rochester , NY 14623, USA

5. Department of Space, Earth and Environment, Chalmers University of Technology , SE-412 96 Gothenburg, Sweden

6. Facultad de Ciencias Astronómicas y Geofísicas, Universidad Nacional de La Plata , Paseo del Bosque, B1900FWA La Plata, Argentina

7. Departamento de Física (EPS), Universidad de Jaén , Campus Las Lagunillas s/n, A3, E-23071 Jaén, Spain

8. Instituto Argentino de Radioastronomía (CCT La Plata, CONICET; CICPBA; UNLP) , C.C.5, (1894) Villa Elisa, Buenos Aires, Argentina

Abstract

ABSTRACT We report here on the first results of a systematic monitoring of southern glitching pulsars at the Argentine Institute of Radioastronomy that started in the year 2019. We detected a major glitch in the Vela pulsar (PSR J0835 − 4510) and two small glitches in PSR J1048 − 5832. For each glitch, we present the measurement of glitch parameters by fitting timing residuals. We then make an individual pulse study of Vela in observations before and after the glitch. We selected 6 days of observations around the major glitch on 2021 July 22 and study their statistical properties with machine learning techniques. We use variational autoencoder (VAE) reconstruction of the pulses to separate them clearly from the noise. We perform a study with self-organizing map (SOM) clustering techniques to search for unusual behaviour of the clusters during the days around the glitch not finding notable qualitative changes. We have also detected and confirmed recent glitches in PSR J0742 − 2822 and PSR J1740 − 3015.

Funder

National Science Foundation

European Union-NextGenerationEU

Consejería de Economía, Innovación

FEDER

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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