GrowthModel¶
- class hmf.core.growth_models.GrowthModel[source]¶
The kind of growth-factor models.
Subclasses implement
solve(), and may check that they apply to a cosmology incheck_cosmology().Attributes
- alias: ClassVar[str | None] = None¶
The short name the model is registered under, if any. Set by the
aliasclass keyword; never inherited.
- backend: ClassVar[str | None] = None¶
The Boltzmann code that computes the model (
"camb"or"class"), if any.
- calibration¶
Where this model was calibrated, with its source (
Noneif it was not).The class’s
calibration_domain, unless it depends on the instance’s parameters.
- calibration_domain: ClassVar[Domain | None] = None¶
The calibration domain of the class, with its source (
Noneif it was not calibrated): that of its default parameters. Ask an instance forcalibration.
- parameter_source: ClassVar[str] = ''¶
The exact source (paper, version, table or equation) of the parameter defaults, e.g. “Tinker et al. 2008, ApJ 688, 709 (published), Table 2”.
- references: ClassVar[tuple[str, ...]] = ()¶
References to cite when the model is used, each a formatted citation.
- valid_domain: ClassVar[Domain] = Domain(bounds=(('z', Interval(lower=0.0, upper=inf, unit=None, lower_open=False, upper_open=True)),), source='z >= 0.')¶
z >= 0. The
Growthstage checks z against the model’s class’s domain (so a model can narrow it), and also against the redshifts its solution covers (up toGrowthSolution.z_max, e.g. a table’s largest redshift): growth is never extrapolated.- Type:
Where the model can be evaluated
Methods
- check_cosmology(cosmology: FLRW) None¶
Raise if the model does not apply to
cosmology(by default it does).- Raises:
ValueError – If it does not apply: a model that does not apply to a cosmology is a configuration error.
- classmethod coerce(value: object) Self¶
Convert a value to a model of this kind: the converter of a model field.
- Parameters:
value – An instance of
cls, which is returned as it is; or a name, import path or class thatget()accepts, which is looked up and instantiated with its default parameters.- Returns:
An instance of
cls.- Return type:
- Raises:
ModelNotFoundError – If
valueis a name that no model of this kind is known by.TypeError – If
valueis of any other type, or names a class that is not a concrete subclass ofcls.
Examples
>>> from hmf.core.filters import Filter, TopHat >>> Filter.coerce("TopHat") == TopHat() True
- classmethod fields_info() tuple[FieldInfo, ...]¶
Describe this class’s fields, without creating an instance.
- Returns:
The name, type, default and documentation of each field.
- Return type:
tuple of FieldInfo
- classmethod get(name: str | type[Model]) type[Self]¶
Look up a model of this kind.
- Parameters:
name – An alias (
"Tinker08"), a qualified name ("hmf.core.fits:Tinker08"), an import path to a class not yet imported ("pkg.mod:Cls"or"pkg.mod.Cls"), or a class.- Returns:
The model class (not an instance). It is always a subclass of
cls.- Return type:
- Raises:
ModelNotFoundError – If no model of this kind is known by
name, even after loading thehmf.modelsentry points and tryingnameas an import path.TypeError – If
nameresolves to something that is not a concrete subclass ofcls.
- classmethod get_aliases() Mapping[str, str]¶
Return a read-only mapping from alias to qualified name, for this kind.
- classmethod get_models() Mapping[str, type[Self]]¶
Return the registered models of this kind, by qualified name.
Plugins advertised in the
hmf.modelsentry-point group are loaded first.- Returns:
A read-only mapping from qualified name to class. Called on a kind, it is a live view of the registry. Called on a non-kind subclass, it holds only the models that subclass it.
- Return type:
Mapping
- abstractmethod solve(cosmology: FLRW, *, run: BoltzmannRun | None = None, disk_cache: DiskCache | None = None, k_accuracy: KAccuracy = KAccuracy(dln_k=0.02, ln_k_min=-18.420680743952367, k_max_r_min=20.0)) GrowthSolution[source]¶
Compute the growth of every species for a cosmology.
- Parameters:
cosmology – The cosmology.
run – A run of this model’s Boltzmann code (from a transfer stage) to take the growth from, if it covers the model’s redshifts. Ignored by models without a backend.
disk_cache – Where to cache Boltzmann-code output on disk, if anywhere.
k_accuracy – The wavenumber accuracy of a Boltzmann run the model makes itself (when
runis not given or does not cover its redshifts): it sets the code’s precision, as forTransfer. Ignored by models without a backend.
- Return type: