Revisiting star formation in the era of big data

HITS group leader Kai Polsterer selected member of an international team at the International Space Science Institute

Kai Polsterer, head of the Astroinformatics (AIN) group at HITS, was selected as member of an international team at the International Space Science Institute (ISSI).

The ISSI is an Institute of Advanced Study where scientists from all over the world meet in a multi- and interdisciplinary setting to reach out for new scientific horizons. The program of ISSI covers a wide spectrum of disciplines including the physics of the solar system and planetary sciences to astrophysics and cosmology, and from Earth sciences to astrobiology. ISSI offers a forum for space scientists, ground-based observers and experimenters, theorists, and modellers to work together.

New machine learning techniques for big data in astronomy

The International teams are composed of about 8-15 scientists of different laboratories, nationalities and expertise. They hold a series of two to three one-week meetings over a period of 12 to 18 months. The aim is to carry out a joint research project leading to publications in scientific journals. Teams are set up in response to an Annual Call by ISSI.
In 2021, the Science Committee selected more than 20 teams, including this group which will revisit the standard star-formation paradigm and the evolutionary scheme of young stars, using new machine learning techniques applicable to big data. The team comprises experts in star formation, survey data, big data analysis, and machine learning to use multi-wavelength data to derive a new evolutionary scheme for young stellar evolution, among them HITS group leader Kai Polsterer, who is an expert in machine learning.

More information: https://teams.issibern.ch/starformation/
Team members: https://teams.issibern.ch/starformation/team-members/

Scientific contact:
Dr. Kai Polsterer
Astroninformatics group