ILD detector concept
E561165
The ILD detector concept is a proposed high-precision particle physics detector design for the International Linear Collider, optimized for detailed reconstruction of complex collision events.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ILD detector concept canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6010620 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ILD detector concept Context triple: [ILC detector concepts, include, ILD detector concept]
-
A.
CDF detector
The CDF detector is a large particle physics experiment at Fermilab’s Tevatron collider that played a key role in studying high-energy proton–antiproton collisions, including the discovery of the top quark.
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B.
Forward Multiplicity Detector
The Forward Multiplicity Detector is a specialized ALICE experiment subdetector at CERN designed to measure charged-particle multiplicities at very forward angles in high-energy collisions.
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C.
Arm1 detector
The Arm1 detector is one of the forward calorimeter arms of the LHCf experiment at CERN, designed to measure neutral particles produced at very small angles in proton–proton collisions to improve models of cosmic-ray air showers.
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D.
IAS machine
The IAS machine was an early electronic stored-program computer designed by John von Neumann and his colleagues at the Institute for Advanced Study, serving as a prototype for many subsequent computer architectures.
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E.
RICH detector
The RICH detector is a ring-imaging Cherenkov device used in the NA62 experiment at CERN to identify charged particles by measuring the Cherenkov light they emit.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ILD detector concept Target entity description: The ILD detector concept is a proposed high-precision particle physics detector design for the International Linear Collider, optimized for detailed reconstruction of complex collision events.
-
A.
CDF detector
The CDF detector is a large particle physics experiment at Fermilab’s Tevatron collider that played a key role in studying high-energy proton–antiproton collisions, including the discovery of the top quark.
-
B.
Forward Multiplicity Detector
The Forward Multiplicity Detector is a specialized ALICE experiment subdetector at CERN designed to measure charged-particle multiplicities at very forward angles in high-energy collisions.
-
C.
Arm1 detector
The Arm1 detector is one of the forward calorimeter arms of the LHCf experiment at CERN, designed to measure neutral particles produced at very small angles in proton–proton collisions to improve models of cosmic-ray air showers.
-
D.
IAS machine
The IAS machine was an early electronic stored-program computer designed by John von Neumann and his colleagues at the Institute for Advanced Study, serving as a prototype for many subsequent computer architectures.
-
E.
RICH detector
The RICH detector is a ring-imaging Cherenkov device used in the NA62 experiment at CERN to identify charged particles by measuring the Cherenkov light they emit.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
International Linear Collider detector concept
ⓘ
proposed detector design ⓘ |
| abbreviation | ILD NERFINISHED ⓘ |
| aimsToAchieve |
excellent impact parameter resolution
ⓘ
jet energy resolution of about 3–4% for 100 GeV jets ⓘ precise momentum resolution for charged particles ⓘ |
| associatedWith | ILC physics and detector study community ⓘ |
| calorimeterTechnology |
highly segmented readout
ⓘ
sampling calorimeters ⓘ |
| collaborationType | international collaboration ⓘ |
| coordinateSystem | right-handed detector coordinate system ⓘ |
| dataTakingMode | bunch-train structure compatible with ILC beam ⓘ |
| designedFor |
precision measurements of Higgs boson properties
ⓘ
precision measurements of top quark properties ⓘ searches for physics beyond the Standard Model ⓘ |
| designStatus | conceptual design with detailed simulations ⓘ |
| documentedIn |
ILD Detailed Baseline Design reports
NERFINISHED
ⓘ
ILD Letter of Intent NERFINISHED ⓘ |
| energyRangeDesignedFor | center-of-mass energies from about 250 GeV to 1 TeV ⓘ |
| feature |
excellent jet energy resolution
ⓘ
hermetic detector coverage ⓘ high-granularity calorimetry ⓘ low material budget in tracking region ⓘ precise tracking ⓘ |
| fullName | International Large Detector concept NERFINISHED ⓘ |
| geometryType | cylindrical detector geometry ⓘ |
| hasSubsystem |
electromagnetic calorimeter
ⓘ
forward detectors ⓘ hadronic calorimeter ⓘ muon system ⓘ silicon tracking system ⓘ superconducting solenoid ⓘ time projection chamber ⓘ vertex detector ⓘ |
| interactionRegion | central interaction point of the ILC ⓘ |
| magneticFieldStrength | approximately 3.5 Tesla ⓘ |
| optimizedFor |
detailed reconstruction of complex collision events
ⓘ
high-precision event reconstruction ⓘ |
| physicsEnvironment | electron-positron collisions ⓘ |
| proposedFor | International Linear Collider NERFINISHED ⓘ |
| readout | fine segmentation for particle flow algorithms ⓘ |
| simulationTool | GEANT4-based detector simulations ⓘ |
| supports |
flavor tagging
ⓘ
missing energy measurements ⓘ tau lepton reconstruction ⓘ |
| trackingTechnology |
silicon strip detectors
ⓘ
time projection chamber with micro-pattern gas detectors ⓘ |
| triggerStrategy | power-pulsed readout with minimal hardware trigger ⓘ |
| uses | particle flow calorimetry ⓘ |
| vertexDetectorTechnology | silicon pixel sensors ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: ILD detector concept Description of subject: The ILD detector concept is a proposed high-precision particle physics detector design for the International Linear Collider, optimized for detailed reconstruction of complex collision events.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.