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SUMMARY:RT-Track Online Training
DTSTART:20260714T070000Z
DTEND:20260723T170000Z
DTSTAMP:20260731T211300Z
UID:indico-event-1704857@indico.cern.ch
DESCRIPTION:Speakers: Andrea Latina (CERN)\n\nThis online training provide
 s a hands-on introduction to RF-Track\, covering both its core capabiliti
 es and the latest developments. The course is intended for new users as we
 ll as those wishing to become familiar with the newest features.\nThe trai
 ning is organized in two sessions\, each consisting of three blocks of ap
 proximately 3 hours.\nSession A – Europe & Asia\nJuly 14\, 15\, and 16\n
 \nStart time: 09:00 CET each day\nIntended primarily for users in Europe a
 nd Asia\n\nSession B – Europe & USA\nJuly 21\, 22\, and 23\n\nStart time
 : 16:00 CET each day\nIntended primarily for users in Europe and the Ameri
 cas\nThis schedule should also make it convenient for SLAC users to join f
 rom home.\n\nThe content of the two courses will be essentially the same. 
 However\, participants from any region are very welcome to attend either w
 eek—or even both weeks\, if they would like additional practice or have 
 questions after the first course.\nParticipation\nThe training will take p
 lace exclusively via Zoom. Please register using the Registration form av
 ailable on this Indico page. Registration is free of charge. \nThe Zoom l
 ink is available below.\nI recommend joining a few minutes before each ses
 sion to verify your audio and video settings.\nThere will be ample time fo
 r questions throughout the training\, and participants are encouraged to f
 ollow the examples on their own computers. The examples are based on Jupyt
 er.\nPrerequisites\nTo get the most out of the training\, participants are
  encouraged to have RF-Track installed and working before the first sessio
 n.\nRF-Track is available for:\n\nLinux\nmacOS\nWindows via Windows Subsys
 tem for Linux (WSL)\n\nInstallation instructions\, documentation\, and exa
 mple scripts are available on the RF-Track website and GitLab repository.\
 nBasic familiarity with accelerator physics and either Python or GNU Octa
 ve/MATLAB is recommended. No prior experience with RF-Track is required.\
 nRF-Track is available for Python on PyPi and for GNU Octave on the CERN
  GitLab.\n\nhttps://indico.cern.ch/event/1704857/
URL:https://indico.cern.ch/event/1704857/
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