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SUMMARY:Particle Physics For All - Giordon Stark (UCSC)
DTSTART:20220118T160000Z
DTEND:20220118T170000Z
UID:TALK165157@talks.cam.ac.uk
CONTACT:William Fawcett
DESCRIPTION: Communicating results between experimentalists and theorists 
 in particle physics has been long and varied. From efficiency maps to sele
 ction cut flows - the collaboration between the two communities has contin
 ued to grow and evolve. Now\, particularly more than ever\, a stronger eff
 ort has been led within the ATLAS Collaboration taking advantage of the ex
 isting technologies used\, such as containerization and plain-text data fo
 rmats\, to make analyses fully reproducible. One such data product from an
  experimental analysis relies on the statistical model used to derive the 
 results published in papers\, and these statistical models are essential i
 nformation for analysis preservation and reuse. The ATLAS Collaboration is
  starting to publicly provide likelihoods associated with statistical fits
  used in searches for new physics. These likelihoods adhere to a specifica
 tion first defined by the 𝙷𝚒𝚜𝚝𝙵𝚊𝚌𝚝𝚘𝚛𝚢 p.d
 .f. template. This talk will focus on how these statistical models came ab
 out\, the technical developments to make this possible\, and illustrate ho
 w detailed information on the statistical modeling can enhance the short- 
 and long-term impact of experimental results.
LOCATION:https://cern.zoom.us/j/61144924828?pwd=WDB6QmFCMEZiSEN5Q0k2aklWSj
 k5Zz09
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