Speaker
Yunyun Gao
(University Hamburg)
Description
The automatic identification of these Debye–Scherrer rings after data processing and merging is difficult, hence we explore two automatic approaches: statistical testing and machine learning. Combining the strengths of both methods, the new assessment shows quantitatively, at the potential ice ring ranges, how severe the intensity observations are affected by the presence of ice rings.
Primary authors
Andrea Thorn
(Julius-Maximilians-Universität Würzburg)
Yunyun Gao
(University Hamburg)
Kristopher Knolte
