ColliderML Release 1: Simulated 14 TeV Proton-Proton Collision Events

ColliderML Release 1 contains simulated high-energy physics events generated using the Open Data Detector geometry. The dataset was produced by CERN using the Key4hep and ACTS frameworks, with a collision energy of 14 TeV. It was last updated on the platform in March 2026.

Use Cases

• Train machine learning models for particle track reconstruction based on simulated detector responses.
• Develop anomaly detection algorithms for rare collision events using the simulated event data.
• Benchmark analysis pipelines for a generic HL-LHC-like detector described in the dataset.
• Study the properties of simulated proton-proton collisions at 14 TeV center-of-mass energy.

Strengths

• Produced by CERN, a leading authority in particle physics.
• Simulates collisions at the high-energy frontier of 14 TeV.
• Uses a modern, generic detector geometry (Open Data Detector) similar to HL-LHC experiments.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Data is simulated, not experimental, which may limit applicability to real-world noise and conditions.

Provenance

Source

CERN

Collection Method

Simulated using DD4hep, Geant4, and ACTS frameworks within the Key4hep stack.

Time Range

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Freshness

Last updated 2026-03-27 18:43:58; freshness should be verified.

Geography

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