The metallicity is measured using strong emission line diagnostics, and there are several types of measurements. In this work, we introduce the geostatistical technique of kriging, which allows the complete 2D metallicity distribution of a galaxy, accounting for spatial correlations between nearby data points. Furthermore, we propose a weight average approach to combine the multiple measurements of the metallicity. Last, we apply this method to construct metallicity maps of the local spiral galaxy NGC 5236 using data from the TYPHOON/PrISM survey.

About the Guest:

Tingjing Chu is a Senior Lecturer at the School of Mathematics and Statistics at the University of Melbourne. He received his Bachelor's degree in mathematics from Tsinghua University in 2007 and his doctorate in statistics from Colorado State University in 2012. Dr. Chu's current research interests include spatial statistics, spatiotemporal statistics, and the application of machine learning to spatiotemporal data. His main research results have been published in international first-class academic journals such as Annals of Statistics, JRSSB, Annals of Applied Statistics, Statistica Sinica, etc.