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HITRAN: HAPI, Absorption Cross-Sections & MT_CKD Water Vapor Continuum
HITRAN (an acronym for High Resolution Transmission) molecular spectroscopic database is a compilation of spectroscopic parameters used to simulate and analyze the transmission and emission of light in gaseous media, with an emphasis on planetary atmospheres. The knowledge of spectroscopic parameters for transitions between energy levels in molecules…
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HITRAN topic overview
The analysis highlights HAPI, Absorption Cross-Sections and MT_CKD Water Vapor Continuum as prominent areas in the source structure around HITRAN.
Related topics
13
Source areas
5
Connected nodes
18
Extracted relationships
84
Concept neighborhoods
9
Bridge connections
18
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.
Overview · 6 topics
HAPI · 4 topics
Absorption Cross-Sections · 1 topics
HITEMP · 1 topics
MT_CKD Water Vapor Continuum · 1 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.
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How HITRAN 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 HITRAN shows recurring relationship patterns in the source. For example, HITRAN → An, Bibcode, Gordon, HAPI, Hargreaves, HITEMP, HITRAN Application Programming Interface, Journal, Kochanov, Molecular Spectroscopic Database, N2O, NO, NO2, Quantitative Spectroscopy, Radiative Transfer, Rothman, S2CID, Series, Spectroscopic, The Astrophysical Journal Supplement Another extracted example is HITRAN → CO2, Doppler, Gaussian, H2, H2O, HAPI, Hartmann-Tran, He, HITRAN Application Programming Interface, HT, In, Lorentzian, Python, Rautian, Speed-Dependent Rautian, Speed-Dependent Voigt, The, This, This HT, Voigt. Use these groups to spot repeated connection types before inspecting the individual relationships.
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 84 structured relationships around HITRAN. Examples in this analysis include HITRAN → is a → Orbiting Carbon Observatory and HITRAN → is a → free resource and is currently maintained and developed at the Center for Astrophysics. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
HITRAN
is a
Orbiting Carbon Observatory
0.90
text
HITRAN
is a
free resource and is currently maintained and developed at the Center for Astrophysics
0.90
text
Gaussian
instance of
This HT line shape can also be reduced to a number of conventional line profiles
0.80
text
HITRAN
related to Absorption Cross-Sections
In
0.60
section
HITRAN
related to Absorption Cross-Sections
Typically HITRAN
0.60
section
HITRAN
related to Absorption Cross-Sections
There
0.60
section
HITRAN
related to Absorption Cross-Sections
The
0.60
section
HITRAN
related to Aerosol Refractive Indices
HITRAN2024
0.60
section
HITRAN
related to Aerosol Refractive Indices
Knowledge
0.60
section
HITRAN
related to Collision-Induced Absorption
The HITRAN
0.60
section
HITRAN
related to Collision-Induced Absorption
CIA
0.60
section
HITRAN
related to Collision-Induced Absorption
Instructions
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 HITRAN bring nearby vocabulary together. In this analysis, examples include Data, Absorption and Spectroscopic. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
HITRAN
Data
Absorption
Spectroscopic
Hapi
Database
Hitemp
Parameters
Transitions
Molecular
Molecules
Us
Also
hitran
Data
Absorption
Spectroscopic
Hapi
Database
Hitemp
Parameters
Transitions
Molecular
Molecules
Us
Also
absorption
Continuum
Molecules
Vapor
Water
Hitran
Coefficients
Ckd
Hapi
Mt
Spectroscopic
Spectral
Also
absorption cross-sections
Continuum
Molecules
Vapor
Water
Hitran
Coefficients
Ckd
Hapi
Mt
Spectroscopic
Spectral
Also
mt_ckd water vapor continuum
Mt
Vapor
Water
Ckd
Coefficients
Continuum
Atmospheric
Github
Absorption
Molecules
Order
Also
hapi
Hitran
Spectra
Spectroscopic
Github
Hitranonline
Spectral
Users
Vapor
Water
Al
Et
Line
hitemp
Al
Et
Line
Spectra
Spectroscopic
Transitions
Hitran
Molecular
Molecules
Vapor
Water
Hapi
radiant energy
Atmospheric
Us
Order
Spectral
Transitions
Molecules
Parameters
Spectroscopic
Hitran
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 HITRAN, one of the stronger structural bridges in this analysis connects HITRAN with Overview. 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.
HITRAN
Nodes19
Edges18
Triples84
Avg. degree1.89
Density0.105263
Components1
Source & methodology
TTTA analyzes the structure around HITRAN to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as HAPI, Absorption Cross-Sections & MT_CKD Water Vapor Continuum, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
