# SIFTing for dark shower signals

- Institution: CERN
- Department: Workshops
- Speaker: William Shepherd
- Year: 2024
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3012086)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

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..

0:00:00 Slide 1

0:04:34 Slide 2

0:06:12 Slide 3

0:08:23 Slide 4

## Lectures

1. [SIFTing for dark shower signals](https://invisiblenetwork.ai/learn/cern/3012086/96dc756e9ff6), 25 min (CERN's player)