Neutrino Event Reconstruction
A SciSchema.org Process Schema
Neutrino event reconstruction transforms detector signals into estimates of particle interactions and physical quantities.
Properties from Neutrino Event Reconstruction
The table below lists the top-level properties of this master schema. Each property may contain more detailed nested fields in the JSON Schema representation.
| Property | Expected Type | Description | Required |
|---|---|---|---|
| detector_geometry | Object | Physical properties and configuration of the detector. | Yes |
| input_data_and_detector_models | Object | Input data formats and detector models used in the reconstruction process. | Yes |
| reconstruction_algorithms | Object | Algorithms used to reconstruct neutrino events. | Yes |
| calibration_strategy | Object | Systematic deployment of radioactive sources and use of naturally-occurring signals to characterise detector response. | No |
| machine_learning_configuration | Object | Machine learning configurations used in reconstruction. | No |
| performance_validation | Object | Validation of reconstruction performance, with systematic uncertainties and IBD-specific metrics. | Yes |
| trigger_and_event_selection | Object | Criteria for triggering and selecting events for reconstruction, including CNN-based selection. | No |
Machine-readable schema representations
This schema is available in two machine-readable representations: as an ORKG template, which can be exported as SHACL, and as a JSON Schema document for download and reuse.
- View template in ORKG — ORKG template / SHACL representation
- Latest version (1.0.0) — JSON Schema representation
- Version 1.0.0 — immutable JSON Schema release