Australian and US scientists have found that a 'secondary' method of measuring the distance to nearby galaxies is more robust than previously thought. According to a report, astrophysicists Professor Jeremy Mould from the University of Melbourne and Dr Shoko Sakai from the University of California, Los Angeles, tested the reliability of using stars from the tip of the red giant branch (TRGB) to calculate distance.
Title: Geometrical Distance Determination using Type I X-ray Bursts Authors: Thomas W. J. Thompson, Richard E. Rothschild, John A. Tomsick
With the excellent angular resolution of the Chandra X-ray Observatory, it is possible to geometrically determine the distance to variable Galactic sources, based on the phenomenon that scattered radiation appearing in the X-ray halo has to travel along a slightly longer path than the direct, unscattered radiation. By measuring the delayed variability, constraints on the source distance can be obtained if the halo brightness is large enough to dominate the point spread function (PSF) and to provide sufficient statistics. The distance to Cyg X-3, which has a quasi-sinusoidal light curve, has been obtained with this approach by Predehl et al. Here researchers examine the feasibility of using the delayed signature of type I X-ray bursts as distance indicators. They use simulations of delayed X-ray burst light curves in the halo to find that the optimal annular region and energy band for a distance measurement with a grating observation is roughly 10-50" and 1-5 keV respectively, assuming Chandra's effective area and PSF, uniformly distributed dust, the input spectrum and optical depth to GX 13+1, and the Weingartner & Draine interstellar grain model. The researchers find that the statistics are dominated by Poisson noise rather than systematic uncertainties, e.g., the PSF contribution to the halo. Using Chandra, a distance measurement to such a source at 4 (8) kpc could be made to about 23% (30%) accuracy with a single burst with 68% confidence. By stacking many bursts, a reasonable estimate of systematic errors limit the distance measurement to about 10% accuracy.