SAIP2016

Graph theory and pulsar astronomy tie the knot: the use of labeled graph kernels in exploring the pulsar P-Pdot diagram

6 Jul 2016, 10:20

20m

5A (Kramer Law building)

Oral Presentation Track D1 - Astrophysics Astrophysics (1)

Speaker

Mrs Maritz Elizabeth (UFS)

Level for award<br>&nbsp;(Hons, MSc, <br> &nbsp; PhD, N/A)?

PhD

Apply to be<br> considered for a student <br> &nbsp; award (Yes / No)?

Yes

Main supervisor (name and email)<br>and his / her institution

Prof Pieter Meintjes
meintpj@gmail.com
UFS

Please indicate whether<br>this abstract may be<br>published online<br>(Yes / No)

Yes

Would you like to <br> submit a short paper <br> for the Conference <br> Proceedings (Yes / No)?

Yes

Abstract content <br> &nbsp; (Max 300 words)<br><a href="http://events.saip.org.za/getFile.py/access?resId=0&materialId=0&confId=34" target="_blank">Formatting &<br>Special chars</a>

In this paper we explore the dependency of pulsar population structures (seen in P-Pdot diagrams) on the measurable characteristics of pulsars. We implement graph kernels for this investigation and it forms part of structure mining which is a domain of learning on structured data objects in machine learning. Among others, we implement one of the most powerful graph kernels that is based on random walks, and has been successfully applied to data mining projects in the field of astronomy. With instruments such as the SKA coming online in the near future, the quest continues to search for relationships between the different pulsar populations.

Peer reviewing

Paper

Accepted on 9 Dec 2017 by Christo Venter

JacquesMaritz-SAIP_ID82-Corrected-Nov-2017.pdf