Supernova Cosmology Project
E274697
The Supernova Cosmology Project is an international research collaboration that used observations of distant Type Ia supernovae to discover the accelerating expansion of the universe, providing key evidence for dark energy.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Supernova Cosmology Project canonical | 3 |
| Measurements of Omega and Lambda from 42 High-Redshift Supernovae | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2527830 — 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: Supernova Cosmology Project Context triple: [Alexei Filippenko, memberOf, Supernova Cosmology Project]
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A.
Carnegie Supernova Project
The Carnegie Supernova Project is an astronomical research initiative focused on observing and characterizing supernovae to improve measurements of cosmic distances and the expansion of the universe.
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B.
The Large-Scale Structure of the Universe
The Large-Scale Structure of the Universe is a foundational cosmology book by James Peebles that systematically develops the theory and observations of how matter is distributed on the largest cosmic scales.
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C.
Dark Energy Survey
The Dark Energy Survey is a large international astronomical project that uses a wide-field camera on a Chilean telescope to map hundreds of millions of galaxies and study the nature of dark energy and cosmic acceleration.
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D.
Tolman surface brightness test
The Tolman surface brightness test is an observational cosmology method that checks whether the universe is expanding by examining how the surface brightness of distant galaxies diminishes with redshift.
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E.
Carnegie Irvine Galaxy Survey
The Carnegie Irvine Galaxy Survey is an astronomical project that provides detailed optical imaging and analysis of nearby galaxies to study their structure, formation, and evolution.
- 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: Supernova Cosmology Project Target entity description: The Supernova Cosmology Project is an international research collaboration that used observations of distant Type Ia supernovae to discover the accelerating expansion of the universe, providing key evidence for dark energy.
-
A.
Carnegie Supernova Project
The Carnegie Supernova Project is an astronomical research initiative focused on observing and characterizing supernovae to improve measurements of cosmic distances and the expansion of the universe.
-
B.
The Large-Scale Structure of the Universe
The Large-Scale Structure of the Universe is a foundational cosmology book by James Peebles that systematically develops the theory and observations of how matter is distributed on the largest cosmic scales.
-
C.
Dark Energy Survey
The Dark Energy Survey is a large international astronomical project that uses a wide-field camera on a Chilean telescope to map hundreds of millions of galaxies and study the nature of dark energy and cosmic acceleration.
-
D.
Tolman surface brightness test
The Tolman surface brightness test is an observational cosmology method that checks whether the universe is expanding by examining how the surface brightness of distant galaxies diminishes with redshift.
-
E.
Carnegie Irvine Galaxy Survey
The Carnegie Irvine Galaxy Survey is an astronomical project that provides detailed optical imaging and analysis of nearby galaxies to study their structure, formation, and evolution.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
astronomy research collaboration
ⓘ
international scientific collaboration ⓘ |
| activeIn | 1990s ⓘ |
| aim |
determine the cosmological constant
ⓘ
determine the matter density of the universe ⓘ |
| basedAt |
Lawrence Berkeley National Laboratory
ⓘ
University of California, Berkeley ⓘ |
| collaboratesWith | High-z Supernova Search Team ⓘ |
| conclusion |
cosmological constant or dark energy component is non-zero
ⓘ
universe expansion is accelerating ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| dataProduct |
light curves of distant Type Ia supernovae
ⓘ
spectra of Type Ia supernovae ⓘ |
| evidenceType |
comparison with cosmological models
ⓘ
magnitude versus redshift measurements ⓘ |
| field |
observational cosmology
ⓘ
supernova astronomy ⓘ |
| impact | contributed to 2011 Nobel Prize in Physics awarded to Saul Perlmutter, Brian P. Schmidt, and Adam G. Riess ⓘ |
| keyPaperTitle |
Supernova Cosmology Project
self-linksurface differs
ⓘ
surface form:
Measurements of Omega and Lambda from 42 High-Redshift Supernovae
|
| leader | Saul Perlmutter ⓘ |
| method |
Hubble diagram of Type Ia supernovae
ⓘ
luminosity distance–redshift relation ⓘ |
| notableFinding | discovery of the accelerating expansion of the universe ⓘ |
| notableMember |
Alex Kim
ⓘ
Carl Pennypacker ⓘ Gerson Goldhaber ⓘ Greg Aldering ⓘ I. M. Hook ⓘ R. A. Knop ⓘ S. E. Deustua ⓘ Saul Perlmutter ⓘ |
| observationType | high-redshift Type Ia supernovae ⓘ |
| providedEvidenceFor | dark energy ⓘ |
| recognizedFor | precision cosmology using supernovae ⓘ |
| researchFocus |
cosmic expansion history
ⓘ
measurement of cosmological parameters ⓘ nature of dark energy ⓘ |
| resultPublication | Perlmutter et al. 1999 Astrophysical Journal paper on cosmological parameters from supernovae ⓘ |
| startPeriod | late 1980s ⓘ |
| supportsModel |
Lambda-CDM model
ⓘ
surface form:
Lambda-CDM cosmological model
|
| telescopeUsage |
ground-based optical telescopes
ⓘ
space-based observations including Hubble Space Telescope follow-up ⓘ |
| uses | Type Ia supernovae as standard candles ⓘ |
| usesTechnique |
K-corrections for supernova photometry
ⓘ
light-curve shape corrections to standardize Type Ia supernova luminosities ⓘ template image subtraction to find supernovae ⓘ wide-field imaging for supernova searches ⓘ |
| website | https://supernova.lbl.gov ⓘ |
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: Supernova Cosmology Project Description of subject: The Supernova Cosmology Project is an international research collaboration that used observations of distant Type Ia supernovae to discover the accelerating expansion of the universe, providing key evidence for dark energy.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
Supernova Cosmology Project
→
keyPaperTitle
→
Supernova Cosmology Project
self-linksurface differs
ⓘ
this entity surface form:
Measurements of Omega and Lambda from 42 High-Redshift Supernovae