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SUMMARY:Manuel Szewc (ICAS (Buenos Aires))
DTSTART:20210617T140000Z
DTEND:20210617T150000Z
DTSTAMP:20260423T003243Z
UID:IFTWeb/56
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/IFTWeb/56/">
 Bayesian Inference for Four Tops at the LHC</a>\nby Manuel Szewc (ICAS (Bu
 enos Aires)) as part of IFT-Madrid Webinars\n\n\nAbstract\nFour top produc
 tion is one of the last benchmarks of the SM\nexplored at the LHC\, and th
 us the intersection of state of the art\nexperimental techniques and theor
 etical calculations. In this talk\, we give\na brief review of the main pr
 oblems one faces when trying to disentangle\nsignal from background in suc
 h a complex final state. We then propose a\nrelatively simple probabilisti
 c mixture model where the Monte Carlo\nsimulations play the role of prior 
 knowledge. Using a simulated dataset with\n"bad" priors and known numerica
 l inference techniques\, we are able to\ncorrect the initial modelling on 
 the data to a certain degree. This in turn\nopens the door for a reduction
  of simulation systematics and a higher\nsensitivity to possible BSM effec
 ts.\n
LOCATION:https://researchseminars.org/talk/IFTWeb/56/
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