Lecture
Sails Lunch Time Seminar Serena Viti
- Date
- Monday 7 November 2022
- Time
- Address
- online only
A statistical and machine learning approach to the study of astrochemistry
Astrochemistry is the study of molecules in space. Molecules are present in the dense gas in all galaxies and, beside having a key role in the formation and shaping of such galaxies, they are also ideal tracers of their physical characteristics. In order to draw the real potential of molecules as tracers of the dense gas in galaxies, accurate estimates of their abundances as a function of all the physical parameters that influence their chemistry must be obtained. However understanding the physical conditions in the molecular gas in galaxies is often an inverse problem subject to complicated chemistry that varies non-linearly with both time and the physical environment. In this talk I will present examples of how we can use statistical and AI techniques to interpret astrochemical observations as well as improve astrochemical modeling.
Join us!
The SAILS Lunch Time Seminar is an online event, but it is not publicly accessible in real-time. Please click the the link below to register If you would like to join.
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