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Talk25 min

SIFTing for dark shower signals

William Shepherd · CERN

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About

I present ongoing work seeking to identify the presence of dark shower phenomena in otherwise ordinary-seeming jets using jet substructure techniques with a particular focus on the recently-proposed SIFT algorithm. The aim is to explicitly identify the mass scale signature of the dark shower products which then promptly decay back into SM quarks, giving effectively normal-looking SM jets. This is the most challenging case for detecting dark shower activity; if we can differentiate this from QCD the same tools should be useful to sharpen semi-visible or emerging jet searches as well..

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The talk

  1. SIFTing for dark shower signals 2024-05-17 · 25 min · CERN's player

Credits and licence

Institution
CERN
Department
Workshops
Speaker
William Shepherd
Year
2024
Language
English
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
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