This lesson is in the early stages of development (Alpha version)

CMSDAS: Muon Detector Shower (MDS) Long Exercise

event display

Prerequisites

Goal of this exercise

This exercise will search for long-lived particles decaying in the CMS muon detector, where we use the muon detector as a sampling calrimeter to identify displaced showers produced by decays of LLPs.

The signature is enabled by the unique design of CMS muon detectors, composed of detector planes interleaved with the steel layers of the magnet flux-return yoke. Decays of LLPs in the EMD induce hadronic and electromagnetic showers, giving rise to a high hit multiplicity in localized detector regions that can be efficiently identified with a novel reconstruction technique. The steel flux-return yoke in the CMS detector also provides exceptional shielding from the SM background that dominates existing LLP searches.

The exercise is based on CMS-EXO-20-015, which is the first paper to use this innovative LLP reconstruction technique to search for high-multiplicity muon detector showers(MDS).

The exercise is performed on data collected during Run 2.

Students will perform the full analysis to search for LLPs decaying in the endcap muon detectors:

Facilitators CMSDAS LPC 2025

Introductory slides

We will start with this introductory slides: CMSDAS_2025.pdf.

Support

Join the LongEX LLP Mattermost channel and don’t hesitate to ask for help from the facilitators in the room.

Schedule

Setup Download files required for the lesson
00:00 1. Introduction Why do we search for long-lived particles?
Why do we use muon detectors?
What signatures are we looking for?
00:30 2. Long-lived Particles (LLPs) What is a long-lived particle?
What is a particle proper decay lengths and lab frame decay lengths?
How often does an LLP decay in the muon detectors?
02:40 3. MDS Reconstruction What is Muon Detector Shower (MDS)?
How are MDS reconstructed?
06:10 4. Analysis Strategy What trigger do we use?
What selections do we make to select for signal clusters and reject background clusters?
What are the remaining background compositions for MDS?
08:25 5. Background Estimation What are the source of background for MDS?
How do we estimate the background contribution?
09:25 6. Results and Statistical Analysis What is the unblinded result?
How to constrain the ABCD relationship for background in datacards?
12:25 7. Event Display (optional) How to make event displays of interesting signal simulation?
13:25 Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.