“Machine Learning in Particle and Astrophysics”
Second Circular (2019/11/14)
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 plan ~6 hours of hands-on tutorial to learn basic concept of Machine Learning based on Convolutional Neural Networks to play with various data-sets related to particle and astrophysics. Participants are invited with their own laptop computer to login cloud GPU service. Participants are recommended to set-up their computers in advance. The set-up procedure will be provided in this school web page and the final circular.
School homepage is https://www.kmi.nagoya-u.ac.jp/workshop/KMIschool2020/
School Indico and registration pages are now opened in:
Deadline of registration is 31st Jan 2020.
Registration fee : FREE
Banquet : 3000 JPY (1000 JPY for students)
Registration may be closed earlier in case that the number of participants reaches maximum limit (max. 60 participants due to limitation of GPU resource for tutorial and capacity of the lecture hall). Registration desk will be open from the afternoon of 4th March at ES635. Note that registration fee is free for all the participants.
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.
Participants are invited to Reception held in the evening of 3rd March. School banquet will be held in the evening of 5th March (Thu). Banquet fee is 1000 JPY for a student and 3000 JPY for a PD/staff. Please pay by JPY cash at the Registration Desk. Any dietary/Halal foods request should be informed in the registration form in advance.
8. 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. Deadline of request is 14th December (Fri).
9. Important dates:
Nov 07(Thu) : 1st circular
Nov 12(Tue) : Registration open
Nov 13(Wed) : 2nd Circular
Dec 20(Fri) : Deadline for financial support/ dormitory
Jan 31(Fri) ; Deadline of registration
Feb 03(Mon) : Final circular
March 03-06 : School
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