II.
Workflow overview
Reference · liveworkflow:particle-accelerator-data-pipeline
Particle Accelerator Data Pipeline overview
Processes particle accelerator experimental data at scale -- ingesting detector readout streams, applying trigger-level event filtering, reconstructing particle tracks and vertices, calibrating detector response with known physics processes, computing cross-sections with systematic uncertainty propagation, and staging analysis-ready datasets (ntuples) for physics working groups. Excludes physics interpretation.
Attributes
displayName
Particle Accelerator Data Pipeline
workflowKind
operational
triggerType
event-driven
typicalCadence
per-run
complexity
cross-team
description
Processes particle accelerator experimental data at scale --
ingesting detector readout streams, applying trigger-level event
filtering, reconstructing particle tracks and vertices, calibrating
detector response with known physics processes, computing
cross-sections with systematic uncertainty propagation, and staging
analysis-ready datasets (ntuples) for physics working groups.
Excludes physics interpretation.
Outgoing edges
applies_to_domain2
- domain:physics·DomainPhysics
- domain:scientific-computing·DomainScientific Computing
involves_role3
- role:data-scientist·RoleData Scientist
- role:platform-engineer·Role
- role:ml-engineer·RoleMachine Learning Engineer
performed_by_org_unit2
- org-unit:research-engineering·OrgUnitResearch Engineering
- org-unit:platform-team·OrgUnitPlatform Team
requires_skill_area2
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
- skill-area:observability-pipeline·SkillAreaObservability Pipeline
triggers_responsibility2
- responsibility:data-quality-monitoring·ResponsibilityData quality monitoring
- responsibility:capacity-planning·ResponsibilityCapacity Planning
Incoming edges
None.