Probing Dark Matter with Disappearing Tracks at the LHC

A. Belyaev from the University of Southampton provides a dataset of efficiencies and cross section limits for dark matter models from the LHC. The data includes tables for the Inert Doublet Model, Minimal Fermion DM model, and Vector Triplet DM model in the lifetime-mass plane, as well as tree-level cross sections for pair production. Details are documented in the associated arXiv paper.

Use Cases

• Compare cross section limits across different dark matter models based on the provided efficiency tables.
• Analyze the relationship between dark matter particle lifetime and mass based on the data in the (lifetime - DM mass) plane.
• Validate theoretical dark matter production cross sections against the provided tree-level cross section data.
• Benchmark the sensitivity of disappearing charged track signatures at the LHC for specific dark matter models.

Strengths

• Data is derived from a peer-reviewed arXiv paper (2008.08581), providing a documented scientific basis.
• Covers three specific theoretical dark matter models: i2HDM, MFDM, and VTDM.
• Includes two distinct data types: efficiency/cross-section limits and production cross sections.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Southampton, associated with arXiv paper 2008.08581.

Collection Method

Likely generated from theoretical calculations and simulations related to LHC experiments.