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      Permanent link:
      https://www.ias.ac.in/article/fulltext/joaa/037/04/0028

    • Keywords

       

      Square Kilometre Array (SKA); neutron stars; statistical science; statistical methods; data modeling and analysis.

    • Abstract

       

      The Square Kilometre Array (SKA), when it becomes functional, is expected to enrich Neutron Star (NS) catalogues by at least an order of magnitude over their current state. This includes the discovery of new NS objects leading to better sampling of under-represented NS categories, precision measurements of intrinsic properties such as spin period and magnetic field, as also data on related phenomena such as microstructure, nulling, glitching, etc. This will present a unique opportunity to seek answers to interesting and fundamental questions about the extreme physics underlying these exotic objects in the Universe. In this paper, we first present a meta-analysis (from a methodological viewpoint) of statistical analyses performed using existing NS data, with a two-fold goal. First, this should bring out how statistical models and methods are shaped and dictated by the science problem being addressed. Second, it is hoped that these analyses will provide useful starting points for deeper analyses involving richer data from SKA whenever it becomes available. We also describe a few other areas of NS science which we believe will benefit from SKA which are of interest to the Indian NS community.

    • Author Affiliations

       

      Mihir Arjunwadkar1 Akanksha Kashikar2 Manjari Bagchi3

      1. Centre for Modeling and Simulation, Savitribai Phule Pune University, Ganeshkhind, Pune 411 007, India.
      2. Department of Statistics, Savitribai Phule Pune University, Ganeshkhind, Pune 411 007, India.
      3. The Institute of Mathematical Sciences, HBNI, Taramani, Chennai 600 113, India.
    • Dates

       
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