Einasto density profile

E237665

astrophysical model density profile galactic structure model

The Einasto density profile is a mathematical model used in astrophysics to describe how the density of dark matter and stars varies smoothly with distance from the centers of galaxies and galaxy clusters.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (3)

Label	Occurrences
Einasto density profile canonical	1
Einasto index	1
Sérsic profile	1

Statements (46)

Predicate	Object
instanceOf	astrophysical model ⓘ density profile ⓘ galactic structure model ⓘ
advantage	better fits to simulated dark matter halos than NFW in many cases ⓘ
appliesTo	dark matter halos ⓘ galaxies ⓘ galaxy clusters ⓘ
assumes	spherical symmetry in simplest form ⓘ
canBeExtendedTo	axisymmetric systems ⓘ
characteristic	curved logarithmic slope ⓘ smoothly varying density with radius ⓘ
comparedWith	Burkert profile ⓘ Hernquist profile ⓘ Jaffe profile ⓘ
contrastWith	Navarro–Frenk–White profile ⓘ isothermal sphere profile ⓘ
creator	Jaan Einasto ⓘ
dependsOn	radius ⓘ
describes	radial mass density distribution ⓘ
field	astrophysics ⓘ cosmology ⓘ
generalizes	Sérsic profile ⓘ
hasParameter	Einasto density profile self-linksurface differs ⓘ surface form: Einasto index scale density ⓘ scale radius ⓘ shape parameter ⓘ
mathematicalForm	exponential of a power of radius ⓘ
namedAfter	Jaan Einasto ⓘ
originatedIn	1970s ⓘ
property	finite central density ⓘ non-power-law inner slope ⓘ
relatedConcept	Sérsic index ⓘ dark matter halo profile ⓘ halo mass–concentration relation ⓘ
similarTo	Sérsic profile ⓘ
usedFor	describing galaxy rotation curve mass models ⓘ fitting N-body simulation halos ⓘ modeling dark matter distribution ⓘ modeling stellar distribution ⓘ
usedIn	analysis of halo concentration ⓘ cosmological N-body simulations ⓘ dynamical modeling of galaxies ⓘ strong lensing mass models ⓘ weak lensing mass models ⓘ
usedToInfer	dark matter fraction in galaxies ⓘ total mass distribution from kinematics ⓘ

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: Einasto density profile
Description of subject: The Einasto density profile is a mathematical model used in astrophysics to describe how the density of dark matter and stars varies smoothly with distance from the centers of galaxies and galaxy clusters.

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

Jaan Einasto → notableConcept → Einasto density profile ⓘ

Einasto profile → relatedConcept → Einasto density profile ⓘ

this entity surface form: Sérsic profile

Einasto density profile → hasParameter → Einasto density profile self-linksurface differs ⓘ

this entity surface form: Einasto index