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SUMMARY:The 4th KMI school - Statistical Data Analysis and Anomalies in 
 Particle Physics and Astrophysics -
DTSTART;VALUE=DATE-TIME:20221214T230000Z
DTEND;VALUE=DATE-TIME:20221217T140000Z
DTSTAMP;VALUE=DATE-TIME:20260306T014805Z
UID:indico-event-2104@cern.ch
DESCRIPTION:The Kobayashi-Maskawa Institute for the Origin of Particles and
  the Universe (KMI) was established in 2010 at Nagoya University 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 of your groups to join the KMI school.\nThe 4th KMI school will be
  held with the topic “Statistical Data Analysis and Anomalies in 
 Particle Physics and Astrophysics”. Analysis of large data samples is 
 required in particle physics and astrophysics. To obtain physics results 
 from such large amounts of data\, methods based on advanced statistics are
  extensively applied. The lecture on statistical data analysis will be 
 helpful to many researchers\, including our members in KMI. In addition to
  the lecture\, we will also have topical seminars on anomalies in particle
  physics and astrophysics. They might be mirages\, which appear on 
 statistical fluctuations. On the other hand\, they might be hints for big 
 discoveries.\nLecture\n          Statistical Data Analysis and hands-on 
 tutorial: Glen Cowan (Royal Holloway\, University of London)\n   \n
               1.5 hours x3 for lectures\, 1.5 hours x3 for 
 tutorial\n\nTutorial\n             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\, pandas\, and matplotlib are needed\, in addition to some 
 dedicated libraries for statistics such as iminuit and emcee. These 
 packages can be installed using pip as shown below\;\n               \n
                               pip install iminuit\n                   \n
                               pip install seaborn\n           \n      \n
               Google Colaboratory also can be used for this tutorial 
 (Google account is needed).\n  \n              Dedicated Github will be 
 available here at the time of the school\n\nSeminars\n\n               
 Anomalies in cosmology: Marco Raveri (University of Genoa)\n    \n
               Anomalies in flavor physics: Teppei Kitahara (KMI\, Nagoya 
 University)\n        \n              Anomalies in energy frontier 
 physics: Takuya Nobe (ICEPP\, University of Tokyo)\n     \n
               Anomalies in cosmic rays: Shunsaku Horiuchi (Virginia 
 Tech.)\n  \n              Neutron lifetime problem: Albert Young (North 
 Carolina State Univ.) \n \n              Muon g-2: Kim Siang Khaw 
 (Shanghai Jiao Tong University)\n\nDate\n\n            December 15 - 
 17th\, 2022 \n\nRegistration fee: FREE \n\n            At present\, a 
 banquet is not planned in this school under the current infection 
 prevention measures.  \n      \n              The maximum number of on-
 site participants is 50 due to the limitation of the capacity of the 
 lecture hall under COVID-19\n\nDeadline for the registration\n           
 Applicants for on-site participation from overseas: October 5th\, 2022\n
         \n              We request applicants to ask supervisors to send 
 recommendation letters to KMIschool2022@kmi.nagoya-u.ac.jp if they are 
 Ph.D students.\n      \n              \n                      Domestic 
 applicants and applicants for online participation: November 
 11th\, 2022\n   \n\nPlease notice that \n\n            All participants 
 from abroad need to apply for a visa newly issued by Embassies or 
 Consulates or the Consular Office of Japan with the receipt certificate 
 of ELFS (Entrants\, Returnees Follow-up System) after we register them in
  ELFS. \n    \n              Please check Japanese Border Measures 
 (https://www.mhlw.go.jp/stf/covid-19/bordercontrol.html). These rules may
  be changed by the situation of COVID-19.\n\nFanatical supports:\n\n
           We will support the accommodation and domestic transportation 
 expenses of local participants from overseas. Please apply at the time of 
 registration if desired. Due to our limited budget\, we may not be able to
  support all applicants.\n\nOrganizing Committee\nJ. Hisano\, T. Iijima\, 
 Y. Itow\, S. Kazama\, M. Kitaguchi\, H. Miyatake\, S. Nojiri\, T. Shiromiz
 u\n\nhttps://agenda.hepl.phys.nagoya-u.ac.jp/indico/conferenceDisplay.py?c
 onfId=2104
LOCATION:Nagoya University KMI Science Symposia (ES635)
URL:https://agenda.hepl.phys.nagoya-u.ac.jp/indico/conferenceDisplay.py?con
 fId=2104
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