SciPy

darkhistory.spec.transferfunclist.TransferFuncList

class darkhistory.spec.transferfunclist.TransferFuncList(tflist)

List of transfer functions.

Parameters:
tflistlist of TransFuncAtRedshift or TransFuncAtEnergy
Attributes:
tflistlist of TransFuncAtRedshift or TransFuncAtEnergy

List of transfer functions that is part of this class.

tftype{‘rs’, ‘in_eng’}

Type of transfer functions in the list: ‘rs’ for TransFuncAtRedshift, ‘in_eng’ for TransFuncAtEnergy

rsndarray

Redshift abscissa of the transfer functions.

in_engndarray

Injection energy abscissa of the transfer functions.

spec_type{‘N’, ‘dNdE’}

The type of spectra stored in the transfer functions.

dlnzfloat

The d ln(1+z) step for the transfer functions.

Methods

at_val(axis, new_val[, bounds_error, fill_value])

Returns the transfer functions at the new abscissa.

coarsen(dlnz_factor[, delete_tfs, ...])

Coarsens the new transfer function with larger dlnz.

transpose()

Transposes the list of transfer functions.

__init__(tflist)

Methods

__delattr__(name, /)

Implement delattr(self, name).

__dir__(/)

Default dir() implementation.

__eq__(value, /)

Return self==value.

__format__(format_spec, /)

Default object formatter.

__ge__(value, /)

Return self>=value.

__getattribute__(name, /)

Return getattr(self, name).

__getitem__(key)

__getstate__(/)

Helper for pickle.

__gt__(value, /)

Return self>value.

__hash__(/)

Return hash(self).

__init__(tflist)

__init_subclass__

This method is called when a class is subclassed.

__iter__()

__le__(value, /)

Return self<=value.

__lt__(value, /)

Return self<value.

__ne__(value, /)

Return self!=value.

__new__(*args, **kwargs)

__reduce__(/)

Helper for pickle.

__reduce_ex__(protocol, /)

Helper for pickle.

__repr__(/)

Return repr(self).

__setattr__(name, value, /)

Implement setattr(self, name, value).

__setitem__(key, value)

__sizeof__(/)

Size of object in memory, in bytes.

__str__(/)

Return str(self).

__subclasshook__

Abstract classes can override this to customize issubclass().

at_val(axis, new_val[, bounds_error, fill_value])

Returns the transfer functions at the new abscissa.

coarsen(dlnz_factor[, delete_tfs, ...])

Coarsens the new transfer function with larger dlnz.

transpose()

Transposes the list of transfer functions.

Attributes

__annotations__

__dict__

__doc__

__module__

__weakref__

list of weak references to the object

dlnz

eng

grid_vals

in_eng

rs

tflist

tftype