“Machine Learning in Particle and Astrophysics”
First Circular (2019/11/11)
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.
We will hold the 3rd KMI school as follows:
March 3rd to 6th, 2020
KMI Science Symposia (ES635) in Nagoya University
One lecture to learn basics of machine-learning-based data analysis as well as hands-on tutorial course to experience coding work of simple analysis program using scientific open data-set. (1.5 hours x3 for lectures, 1.5 hours x5 for tutorial)
1) “Basics for machine learning and hands-on tutorial”/ Kazuhiro Terao (SLAC, USA)
Detail of tutorial will be announced later in the 2nd circular.
We will also organize a few topical seminars for machine-learning-based researches in various fields as follows (titles are tentative, 1~1.5 hours for each seminar)
2) “DarkMachines: a research collective of physicists and data scientists to solve dark matter problems using machine learning” / Luc Hendriks (Radboud University, Netherlands)
3) “Solving inverse problems with Deep Learning: Application to Weak Lensing Mass-Mapping” / Francois Lanusse (CNRS, France)
4) “Machine learning analysis in Event Horizon Telescope” / Shiro Ikeda (ISM, Japan)
5) “Recent progresses in the machine learning and possible application to particle physics” / Yuta Nakashima (IDS, Osaka University, Japan)
We encourage participants to present their own research results at the poster session in the KMI school. We will not limit their topics to machine-learning researches but all the topics related to particle and astrophysics. A presenter prize will be award to those who gives the best presentation among them.
5.Maximum of number of participants:
60 (due to limitation of GPU resource for tutorial and capacity of the lecture hall).
Registration fee : FREE
Banquet : 3000 JPY (1000 JPY for students)
We will open the registration soon there, by 11th November.
7. Financial Support:
Financial support for local expense will be available for a limited number of participants. University dormitory will be also available for a limited number of participants. Detail should be checked in the registration page.
J. Ellis (King’s College), G. ‘t Hooft (Utrecht), T. Kajita (ICRR), T. Kugo (Kyoto Sangyo, MISC), K. Sato (JSPS/IPMU), J. Silk (Oxford), M. Yamauchi (KEK)
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
KMI school 2020 Secretariat
Kobayashi-Maskawa Institute for the Origin of Particles and the
Universe (KMI) Nagoya University, Nagoya, 464-8602, JAPAN