Silicon Drift Detector
E133818
A Silicon Drift Detector is a type of semiconductor radiation detector that uses lateral electric fields to drift charge carriers to a small collecting anode, enabling high energy resolution and fast, low-noise signal readout in applications such as particle tracking and X-ray spectroscopy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Silicon Drift Detector canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1161190 — 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: Silicon Drift Detector Context triple: [Inner Tracking System, hasComponent, Silicon Drift Detector]
-
A.
Photon Spectrometer
The Photon Spectrometer is a specialized detector subsystem of the ALICE experiment at CERN designed to precisely measure and analyze high-energy photons produced in heavy-ion collisions.
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B.
Transition Radiation Detector
The Transition Radiation Detector is a particle physics instrument that identifies high-energy charged particles—especially electrons—by detecting the X-ray photons they emit when crossing boundaries between materials at relativistic speeds.
-
C.
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.
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D.
DØ detector
The DØ detector is a large particle physics experiment at Fermilab’s Tevatron collider designed to study high-energy proton–antiproton collisions and probe fundamental particles and forces.
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E.
Micromegas detectors
Micromegas detectors are high-granularity gaseous particle detectors that provide precise tracking and fast timing for high-energy physics experiments.
- 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: Silicon Drift Detector Target entity description: A Silicon Drift Detector is a type of semiconductor radiation detector that uses lateral electric fields to drift charge carriers to a small collecting anode, enabling high energy resolution and fast, low-noise signal readout in applications such as particle tracking and X-ray spectroscopy.
-
A.
Photon Spectrometer
The Photon Spectrometer is a specialized detector subsystem of the ALICE experiment at CERN designed to precisely measure and analyze high-energy photons produced in heavy-ion collisions.
-
B.
Transition Radiation Detector
The Transition Radiation Detector is a particle physics instrument that identifies high-energy charged particles—especially electrons—by detecting the X-ray photons they emit when crossing boundaries between materials at relativistic speeds.
-
C.
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.
-
D.
DØ detector
The DØ detector is a large particle physics experiment at Fermilab’s Tevatron collider designed to study high-energy proton–antiproton collisions and probe fundamental particles and forces.
-
E.
Micromegas detectors
Micromegas detectors are high-granularity gaseous particle detectors that provide precise tracking and fast timing for high-energy physics experiments.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
position-sensitive radiation detector
ⓘ
semiconductor radiation detector ⓘ |
| chargeCarriers | electrons ⓘ |
| detects |
X-rays
ⓘ
charged particles ⓘ ionizing radiation ⓘ |
| developedFor |
high-rate particle tracking in colliders
ⓘ
high-resolution X-ray spectroscopy ⓘ |
| enables |
fast signal readout
ⓘ
high energy resolution ⓘ low-noise signal readout ⓘ |
| fieldConfiguration |
lateral electric field parallel to detector surface
ⓘ
radial drift field ⓘ |
| geometry |
circular drift rings
ⓘ
linear drift structures ⓘ |
| hasAdvantage |
good position resolution
ⓘ
good timing performance ⓘ low electronic noise ⓘ operation at relatively high count rates ⓘ reduced cooling requirements compared to Si(Li) detectors ⓘ small anode capacitance ⓘ |
| hasComponent |
drift region
ⓘ
front-end preamplifier ⓘ guard rings ⓘ p-n junctions ⓘ small collecting anode ⓘ |
| hasPrinciple | lateral electric field drifts charge carriers ⓘ |
| measures |
arrival position of radiation
ⓘ
energy of incident radiation ⓘ |
| operatingMode | reverse-biased p-n junction ⓘ |
| readoutType | single small anode readout ⓘ |
| relatedTo |
PIN diode detector
ⓘ
Si(Li) detector ⓘ silicon pixel detector ⓘ silicon strip detector ⓘ |
| requires |
bias voltages to create drift field
ⓘ
temperature stabilization for optimal performance ⓘ |
| signalFormation |
collected charge proportional to deposited energy
ⓘ
drift time encodes position information ⓘ |
| typicalEnergyResolution | better than 150 eV at 5.9 keV (for X-rays) ⓘ |
| usedIn |
X-ray spectroscopy
ⓘ
astrophysics X-ray detectors ⓘ electron microscopy X-ray analysis ⓘ energy-dispersive X-ray spectroscopy ⓘ nuclear physics experiments ⓘ particle tracking ⓘ synchrotron radiation experiments ⓘ |
| usesMaterial | silicon ⓘ |
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: Silicon Drift Detector Description of subject: A Silicon Drift Detector is a type of semiconductor radiation detector that uses lateral electric fields to drift charge carriers to a small collecting anode, enabling high energy resolution and fast, low-noise signal readout in applications such as particle tracking and X-ray spectroscopy.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.