Online school on new dates: November 16 – 20, 2020
The 3rd KMI school (KMI school 2020)
Machine Learning in Particle and Astrophysics
Nagoya University, ES635 March 3-6, 2020 (rescheduled due to COVID019)
ONLINE, November 16 – 20, 2020
The Kobayashi-Maskawa Institute for the Origin of Particles and the Universe (KMI) was established on 2010 at Nagoya University in order to explore new frontiers of modern physics beyond the Standard Model. KMI decided to launch the KMI school in 2018, to which we invite distinguished researchers to KMI to have them give their lectures on specific topics every year. The KMI school is intended for graduate school students and young post-docs. We would like you to encourage young members in your groups to join in the KMI school.
The 3rd KMI school will be held with a topic “Machine Learning in Particle an Astrophysics”, which is one of the most rapid-developed fields in various research areas recently. While many of data analysis techniques have been developed and contributed to progress in particle physics and astrophysics until now, recent machine-learning-based analysis surprisingly improves speed and quality of data analysis in various fields; collider, neutrinos, dark matter, astrophysics, and observational cosmology, etc. Next break-through in these research areas would be achieved with the help of this new idea, and might reveal yet unknown nature of particle and the universe.
Many researchers, including our members in KMI, are working intensively on the subject from viewpoints of elementary particle physics and astrophysics.
Lecture: Basics for machine learning and hands-on tutorial
“DarkMachines: a research collective of physicists and data scientists to solve dark matter problems using machine learning” / Luc Hendriks (Radboud University, Netherlands)
“Solving inverse problems with Deep Learning: Application to Weak Lensing Mass-Mapping” /Francois Lanusse (CNRS, France)
“Machine learning analysis in Event Horizon Telescope” / Shiro Ikeda (ISM, Japan)
“Recent progresses in the machine learning and possible application to particle physics” / Yuta Nakashima (IDS, Osaka University, Japan)
School Indico and registration pages are now opened in:
Registration fee : FREE
T. Iijima(Co-Chair), J. Hisano(Co-Chair), S. Nojiri(Co-Chair), Y. Itow (Co-Chair),
T. Abe, A. Gaz, M. Harada, K. Ichiki, Y. Kato, S. Kazama, M. Kitaguchi, K. Matsuoka, Y. Nakahama,
A. Nishizawa, A. Okumura, Y. Shoji, H. Tajima, M. Takeuchi