Systematic Effects of Hydrogen and Helium Atmosphere Mismatch on Radius Inference in PSR J0740+6620-like Synthetic NICER Data
The episode discusses a paper examining systematic errors in inferring neutron star radii from NICER data due to mismatches between assumed hydrogen and actual helium atmospheres. Hosts explore how noise can hide these mistakes, leading to radius biases of over two-sigma when fitting the wrong model. The conclusion emphasizes using Bayesian evidence for more robust model comparison instead of just goodness-of-fit tests.