ifu.py File Reference

Functions
def	gateau.ifu.lorentzian (f, f0, Ql)
def	gateau.ifu.lorentzian_with_second_order (f, f0, Ql, I=1)
np.ndarray	gateau.ifu.generate_filterbank (dict[str, any] instrumentDict, dict[str, any] sourceDict)
np.ndarray	gateau.ifu.generate_filterbank_independent (dict[str, any] instrumentDict, dict[str, any] sourceDict)
	Generate a Lorentzian filterbank matrix from resolving power R. More...
tuple[np.ndarray, np.ndarray]	gateau.ifu.generate_fpa_pointings (dict[str, any] instrumentDict)
	Generate a hexagonal far-field pointing model. More...

Detailed Description

Generate or read filterbank matrix.

Function Documentation

generate_filterbank()

np.ndarray gateau.ifu.generate_filterbank	(	dict[str, any]	instrumentDict,
		dict[str, any]	sourceDict
	)

Generate an 'idealized' filterbank that assumes perfect matching of the filters to the signal line.

Args:
    f (array): frequencies over which to evaluate the filterbank.
    f0 (array): a list of resonance frequencies of the filters.
    Ql (single value, array): The loaded quality factor of the filters, given as a single value or a list of the same length as f0_list.
    kernel (function): the function describing the filter. Must take as arguments (f, f0, Ql).

Returns:
    transfer (2d array): the transfer function for each filter. dimensions (len(f),len(f0)).

generate_filterbank_independent()

np.ndarray gateau.ifu.generate_filterbank_independent	(	dict[str, any]	instrumentDict,
		dict[str, any]	sourceDict
	)

Generate a Lorentzian filterbank matrix from resolving power R.

Parameters

instrumentDict	Instrument dictionary.
sourceDict	Source dictionary.

Returns

filterbank The Lorentzian filterbank.

generate_fpa_pointings()

tuple[np.ndarray, np.ndarray] gateau.ifu.generate_fpa_pointings

(

dict[str, any]

instrumentDict

)

Generate a hexagonal far-field pointing model.

Parameters

instrumentDict

Dictionary containing instrument specifications.

Returns

Tuple of arrays containing azimuth and elevation pointings per spaxel

lorentzian()

def gateau.ifu.lorentzian	(		f,
			f0,
			Ql
	)

Normalized Lorentzian (directional filter) centered at f0.

lorentzian_with_second_order()

def gateau.ifu.lorentzian_with_second_order	(		f,
			f0,
			Ql,
			I = 1
	)

Normalized Lorentzian (directional filter) centered at f0.