Institution(s): 1. Australian National University, 2. University of Birmingham
Inferring the full, detailed chemodynamical evolution of the Milky Way is a long sought-after goal now being made achievable by unprecedented quantities and types of stellar catalogs. However, interpretation of these data relies critically on understanding the uncertainties and biases inherent to the methods used. Here, we report on the status of a large collaborative project that aims at assessing under which conditions and with which accuracy the properties of a stellar population can be recovered, given current state-of-the-art analysis methods. We seek a comprehensive understanding of the impacts of target selection biases and uncertainties on classical (spectroscopic, astrometric, photometric) and asteroseismic data. In this poster, we describe how this collaboration is structured into teams and tasks, the generation of mock Milky Way catalogs, and progress along other aspects of the project.