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Daniel Pomarède: Works, Career & Science
Daniel Pomarède (born October 3, 1971) is a staff scientist at the Institute of Research into the Fundamental Laws of the Universe, CEA Paris-Saclay University. He co-discovered Laniakea, our home supercluster of galaxies, and Ho'oleilana, a spherical shell-like structure 1 billion light-years in diameter found in the distribution of galaxies, possibly…
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Daniel Pomarède topic overview
The analysis highlights Works, Career and Science as prominent areas in the source structure around Daniel Pomarède.
Related topics
42
Source areas
4
Connected nodes
46
Extracted relationships
74
Concept neighborhoods
22
Bridge connections
46
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Biography · 16 topics
Career · 11 topics
Overview · 11 topics
Public work · 4 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Known for
Laniakea Supercluster, Ho'oleilana, South Pole Wall, Dipole Repeller
Education
Ph.D in particle physics and cosmology
Born
(1971-10-03) October 3, 1971 (age 54)
Fields
Astrophysics
Workplaces
CEA Paris-Saclay University
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Overview
CEAFrench Alternative Energies and Atomic Energy Commission
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Daniel Pomarède connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Daniel Pomarède shows recurring relationship patterns in the source. For example, Daniel Pomarède → Akea, Baryon Acoustic Oscillation, Chamaeleon, Cold Spot, Cold Spot Repeller, Cosmic, Cosmic Microwave Background, Cosmicflows-2, Cosmicflows-3, Dipole Repeller, Discovery, Great Attractor, Hawaiian, Ho'oleilana, It, Lani, Laniakea, Laniakea Supercluster, Matter, Milky Way Another extracted example is Daniel Pomarède → Brookhaven National Laboratory, Brossel Laboratory, CEA Theoretical Physics Department, Ecole Normale Supérieure, He, Interuniversity Magister, Kastler, Laser Research Group, Manchester, Marie-Anne Bouchiat, Master, New York, Paris, Paris Universities, Physics, Saclay, Science, South Carolina, University. Use these groups to spot repeated connection types before inspecting the individual relationships.
Daniel Pomarède → Brookhaven National Laboratory, Brossel Laboratory, CEA Theoretical Physics Department, Ecole Normale Supérieure, He, Interuniversity Magister, Kastler, Laser Research Group, Manchester, Marie-Anne Bouchiat, Master, New York, Paris, Paris Universities, Physics, Saclay, Science, South Carolina, University
related to External links· 10
Daniel Pomarède → Astrophysics Data System, Aug, Corey, Google ScholarDaniel Pomarède, Master, NASA/ADS, NBC News, Powell, Scholar, Twitter
Born· 1
Daniel Pomarède → (1971-10-03) October 3, 1971 (age 54)
Education· 1
Daniel Pomarède → Ph.D in particle physics and cosmology
Fields· 1
Daniel Pomarède → Astrophysics
Known for· 1
Daniel Pomarède → Laniakea Supercluster, Ho'oleilana, South Pole Wall, Dipole Repeller
Workplaces· 1
Daniel Pomarède → CEA Paris-Saclay University
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Daniel Pomarède relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 74 structured relationships around Daniel Pomarède. Examples in this analysis include Daniel Pomarède → Born → (1971-10-03) October 3, 1971 (age 54) and Daniel Pomarède → Education → Ph.D in particle physics and cosmology. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Daniel Pomarède
Born
(1971-10-03) October 3, 1971 (age 54)
1.00
infobox
Daniel Pomarède
Education
Ph.D in particle physics and cosmology
1.00
infobox
Daniel Pomarède
Fields
Astrophysics
1.00
infobox
Daniel Pomarède
Known for
Laniakea Supercluster, Ho'oleilana, South Pole Wall, Dipole Repeller
1.00
infobox
Daniel Pomarède
Workplaces
CEA Paris-Saclay University
1.00
infobox
Vimeo
instance of
these video maps turned out to be of interest to the general public.A collection of such products developed by Pomarède and fellow co-authors aggregated approximately one millio…
0.80
text
YouTube
instance of
these video maps turned out to be of interest to the general public.A collection of such products developed by Pomarède and fellow co-authors aggregated approximately one millio…
0.80
text
Sketchfab
instance of
these video maps turned out to be of interest to the general public.A collection of such products developed by Pomarède and fellow co-authors aggregated approximately one millio…
0.80
text
Daniel Pomarède
related to Biography
Interuniversity Magister
0.60
section
Daniel Pomarède
related to Biography
Physics
0.60
section
Daniel Pomarède
related to Biography
Ecole Normale Supérieure
0.60
section
Daniel Pomarède
related to Biography
Paris
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Daniel Pomarède bring nearby vocabulary together. In this analysis, examples include Pomarède, Universe and Galaxy. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Daniel Pomarède
Pomarède
Universe
Galaxy
Laniakea
Supercluster
Cea
Cosmography
Interactive
Galaxies
3d
Journal
Local
daniel pomarède
Pomarède
Universe
Cosmography
Galaxy
Laniakea
Local
Supercluster
Galaxies
Data
Cea
Interactive
Video
laniakea
Supercluster
Pomarède
Universe
Cosmography
Discovery
Galaxies
Ho'oleilana
Structure
Cosmology
Distribution
Pole
Dipole
cosmography
Local
Universe
Data
Visualization
Interactive
Video
3d
Pomarède
Galaxies
Scientific
Cosmic
Field
dipole repeller
Repeller
Spot
Voids
Discovery
Pole
Large
South
Wall
Visualization
Supercluster
Universe
3d
south pole wall
Pole
South
Wall
Cosmology
Physics
University
Dipole
Large
Scientific
Structure
Repeller
Discovery
observable universe
Cosmography
Local
Galaxies
Data
Video
3d
Laniakea
Galaxy
Maps
Cosmic
Visualization
Repeller
cosmic microwave background
Analysis
Large
Located
Visualization
Cosmography
3d
Cosmology
Galaxies
Local
Voids
Universe
Dipole
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Daniel Pomarède, one of the stronger structural bridges in this analysis connects Daniel Pomarède with Biography. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Daniel Pomarède
Nodes47
Edges46
Triples74
Avg. degree1.96
Density0.042553
Components1
Source & methodology
TTTA analyzes the structure around Daniel Pomarède to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Career & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
