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SUMMARY:Optimization in the search for rare Higgs processes during the HL-
 LHC using AI algorithms.
DTSTART;VALUE=DATE-TIME:20200710T192000Z
DTEND;VALUE=DATE-TIME:20200710T193700Z
DTSTAMP;VALUE=DATE-TIME:20260627T162956Z
UID:indico-contribution-119@cern.ch
DESCRIPTION:Speakers: Dr. CASTANEDA\, Alfredo (Universidad de Sonora)\nDur
 ing the HL-LHC enormous amount of data will be produced\, allowing for the
  study of rare processes including the production of two Higgs bosons (HH)
 \, Higgs produced in association with other particles (Httbar\, HZ) and ma
 ny others.  The low cross-section of such processes combined with the high
  background levels represents a challenge for the observation of those sta
 tes. Recently\, new algorithms have been implemented to optimize the signa
 l vs noise ratio using complex algorithms based on neural networks\, such 
 models are trained with simulation and tested with collision data.  In thi
 s talk\, we will review the status of such implementations\, the various n
 eural network architectures used to optimize the searches in terms of part
 icle identification and trigger aiming to increase the sensitivity for tho
 se rare processes at the LHC.\n\nhttps://indico.nucleares.unam.mx/event/15
 46/session/6/contribution/119
LOCATION:Mexico City Virtual
URL:https://indico.nucleares.unam.mx/event/1546/session/6/contribution/119
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