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Final Circular
The 4th KMI School:
“Statistical Data Analysis and Anomalies in Particle Physics and Astrophysics”
(December 15th -17th, 2022)
Homepage: https://www.kmi.nagoya-u.ac.jp/workshop/kmi-school-2022/
Final Circular (2022/12/13)
[Updated contents are written in red]
1. Date:
December 15th to 17th, 2022
2. Program:
The program can be found on the Indico page;
https://agenda.hepl.phys.nagoya-u.ac.jp/indico/conferenceDisplay.py?confId=2104
The school will start at 10:30 on Thursday, December 15th, and end at 15:10 on Saturday, December 17th. The poster session will be held in the evening on Thursday, December 15th, from 17:15 to 19:00. Banquet/party will not be held due to pandemic concerns.
We had assumed that if the lecturer (Prof. G. Cowan) needed to have lectures online, the school would start at 17:00 on Wednesday, December 14th, and end on Saturday, December 17th. But now we will have our school following the original schedule mentioned above.
Coffee and sweets will be provided at coffee breaks, and drinks and snacks will be also provided during the poster session.
Group photos will be taken before lunch on December 16th. Please show your faces even if you join the KMI school online.
3. Zoom Connection:
The lectures, tutorials, and seminars will be broadcasted to online participants via zoom. The zoom link is announced to participants directly. But, if you cannot find it, please take contact with us.
4. Information for Tutorial:
The participants are expected to bring a laptop on which Python (version 3) is installed. Please check the version of Python you installed. For tutorials, some libraries such as numpy, scipy, jupyter, and matplotlib will be needed as well as some dedicated libraries for statistics such as iminuit. imimuit can be installed using pip;
pip install iminuit
You can also use google colaboratory for the tutorials (Note that google account is required). For google colaboratory, python3 and some libraries are already pre-installed.
https://colab.research.google.com
We strongly recommend participants learn basic python knowledge (and also numpy/matplotlib) before coming to the school as we don’t have enough time.
An introduction with google colaboratory is available in the following link:
https://cs231n.github.io/python-numpy-tutorial/
If you want to learn a detailed introduction to python, please visit the following website;
English: https://docs.python.org/3/tutorial/
Japanese: https://docs.python.org/ja/3/tutorial/
Materials of lectures and tutorials are placed at
[Lectures]
https://www.dropbox.com/sh/av2nuc73ri16949/AADSkw6qtuFEnAhgVmCpCtcMa?dl=0
[Tutorials]
https://www.dropbox.com/sh/pkxyx1yt8ulanca/AADtspCY9dHjsd8-wRRmK1rba?dl=0
They are also available in GitHub: https://github.com/KMISchool2022
They may be changed. The final versions will be uploaded to indico later.
5. Information for Poster Presenters:
The poster session will start at 17:45 on the first day, December 15th, Thursday, in the lounge and hallway in front of KMI Science Symposia (ES635). A unique number will be assigned to your poster associated with the board. Please remove your poster by yourself after the poster session. The poster size should be the standard A0, in portrait orientation.
Machine-gun talk session will be held at the beginning of the poster session at KMI Science Symposia (ES635). In the session, the poster presenters are asked to talk about their presentations for 1 minute, using PDF (only 1 page).
We will award prizes to an outstanding poster. The onsite participants are asked to vote for the best posters of their choice during the poster session. Instruction for the voting method will be provided at the poster session.
6. Conference venue:
Lectures, tutorials, and seminars are given at the KMI Science Symposia (ES635), on the 6th floor of the ES Building at Nagoya University, Higashiyama campus.
The registration desk will be open at 10:00, December 15th, Thursday in the lounge in front of the KMI Science Symposia (ES635).
The poster session (December 15th, Thursday, from 17:15 to 19:00) will be held in the lounge and hallway in front of the KMI Science Symposia (ES635).
The location of the ES building is more details can be found at; http://www.kmi.nagoya0-u.ac.jp/workshop/kmischool2022/information/
Please mute your laptops to prevent howling in the venue if you connect ZOOM of the KMI school.
7. Network service
Nagoya University provides a wireless network system for the guests. You can connect SSID “nuwnet”. When you start a browser, you will be asked Username and Password. They can be found on your name tag. Connection via “eduroam” is also available.
8. General Information
Map of Higashiyama Campus of Nagoya University
ES (Engineering and Science) Building is placed at (2C), marked by C2④, on the map.
9. Infection control:
We ask you to wear a mask inside of the buildings, and to take a seat at every other desk in the conference venue (ES635). Alcohol sanitizer will be placed at the entrance of the room (ES635), so please use it. If you have any concern, please consult with the organizers.
10. Food and Shops:
Restaurants and shops in the campus are shown in the above campus map.
NOTICE that most restaurants are closed on the campus except for North Cafeterias on Saturday. You can find Chinese, Korean, Pizza, and Hamburger restaurants within walking distance outside of the campus.
11. Photos:
During the KMI school, we will take photos for records and use them in reports, poster of the next KMI school, etc. If you have any problems with being photographed, please let the organizers know.
12. Correspondence:
KMI school 2022 Secretariat
Email:KMIschool2022@kmi.nagoya-u.ac.jp
URL:https://www.kmi.nagoya-u.ac.jp/workshop/KMIschool2022/
Kobayashi-Maskawa Institute for the Origin of Particles and the Universe (KMI) Nagoya University, Nagoya, 464-8602, JAPAN
The organizers have nametags with red strings. If you have any question/concern, please contact with them.