Chi-square test of the relativistic precession model through the neutron star IGR J17511-3057

TL;DR

This study tests the relativistic precession model against observational data from the neutron star IGR J17511-3057 using a chi-square method, finding the model's predictions for mass are inconsistent with expected values.

Contribution

It applies a chi-square goodness-of-fit test to multiple variability components in neutron star data, revealing limitations of the relativistic precession model.

Findings

Good fit requires ignoring some observational groups

Model predicts neutron star mass too high to be plausible

Chi-square test reveals model's inadequacy for this source

Abstract

The aim of the current paper is to apply the method of Bambi (Bambi, 2015) to a source which contains two or more simultaneous triads of variability components. The joint chi-square variable that can be composed in this case, unlike some previous studies, allows the goodness of the fit to be tested. It appears that a good fit requires one of the observation groups to be disregarded. Even then, the model prediction for the mass of the neutron star in the accreting millisecond pulsar IGR J17511-3057 is way too high to be accepted.