Inheritance diagram for smica.model.ModelI:
Public Member Functions | |
| def | __init__ |
| def | get_dim |
| def | get_theta |
| def | set_theta |
| def | cg_score |
| def | cg_ifim |
| def | covarianceS |
| def | covariance |
| def | mismatch_penalty |
 Public Member Functions inherited from smica.model.Model | |
| def | add_comp |
| def | get_comp_by_number |
| def | get_comp_by_name |
| def | __init__ |
| def | get_dim |
| def | check_covmat_dim |
| def | check_bin_dim |
| def | dim |
| def | get_theta |
| def | set_theta |
| def | printp |
| def | fim |
| def | covariance |
| def | covariance4D |
| def | mixmat |
| def | powspec |
| def | autopowspec |
| def | noise |
| def | set_mixmat |
| def | set_powspec |
| def | set_noise |
| def | error_model |
| def | mismatch |
| def | close_form |
| def | joint_diag |
| def | ortho_subspace |
| def | quasi_newton |
| def | wiener |
| def | winf |
| def | mismatch_penalty |
| def | __cg_mismatch__ |
| def | cg_mismatch |
| def | cg_score |
| def | cg_fim |
| def | cg_ifim |
| def | conjugate_gradient |
| def | plot_mixmat |
| def | plot_powspec |
| def | plot_noise |
| def | plot_power |
| def | plot_em |
| def | plot_mismatch |
| def | full_fim |
| def | error_model_full_fim |
Public Attributes | |
| instru | |
| Public Attributes inherited from smica.model.Model | |
| ncomp | |
| nbin | |
| ndet | |
Additional Inherited Members | |
| Properties inherited from smica.model.Model | |
| dim = property(dim) | |
Detailed Description
A model which includes instrumental parameters. This model includes a description of the instrument in addition to its components. The covariance is the convolution of the source components with the instrument plus a noise component.
Constructor & Destructor Documentation
| def smica.model.ModelI.__init__ | ( | self, | |
complist = None, |
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instrument = None, |
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ndet = 0, |
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nbin = 0, |
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ncomp = 0 |
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| ) |
Set content and/or dimension of object. Parameters ---------- complist : list of Component object instance (dimensions have to be compatible). instrument: an Instrument object instance (dimensions have to be compatible).
Member Function Documentation
| def smica.model.ModelI.cg_ifim | ( | self, | |
| theta, | |||
| stats, | |||
| nmodes | |||
| ) |
Set model with new parameters and return inverse of Fisher Information Matrix. Parameters ---------- theta : array-like, shape (N, 1), where N is the number of free parameters. stats : array-like, shape (ndet, ndet, nbin). Second order statistics ie empirical covariance matrices of the observations. nmodes : array-like, shape (nbin,1). Number of modes of each bin. Returns ------- array-like, shape (N, N), where N is the number of free parameters.
| def smica.model.ModelI.cg_score | ( | self, | |
| theta, | |||
| stats, | |||
| nmodes | |||
| ) |
Set model with new parameters and return score. Parameters ---------- theta : array-like, shape (N, 1), where N is the number of free parameters. stats : array-like, shape (ndet, ndet, nbin). Second order statistics ie empirical covariance matrices of the observations. nmodes : array-like, shape (nbin,1). Number of modes of each bin. Returns ------- array-like, shape (N, 1), where N is the number of free parameters.
| def smica.model.ModelI.covariance | ( | self, | |
bin = None |
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| ) |
Return the total covariance matrix(ces). Parameters ---------- bin : bin number. If None, return all matrices in a three dimensional array. Returns ------- array, shape (ndet, ndet, nbin).
| def smica.model.ModelI.covarianceS | ( | self, | |
bin = None |
|||
| ) |
Return the source covariance matrix(ces). Parameters ---------- bin : bin number. If None, return all matrices in a three dimensional array. Returns ------- array, shape (ndet, ndet, nbin).
| def smica.model.ModelI.get_dim | ( | self) |
Return the number of free parameters of the model. This is the sum of all components + instrumental free parameters.
| def smica.model.ModelI.get_theta | ( | self) |
Return model parameters as a vector. Returns ---------- array-like, shape (N, 1), where N is the number of free parameters.
| def smica.model.ModelI.mismatch_penalty | ( | self) |
Prior contribution to the mismatch. Default is 0. Extend get_penalty function of one component to set a prior contribution. Returns ------- scalar.
| def smica.model.ModelI.set_theta | ( | self, | |
| theta, | |||
verbose = False |
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| ) |
Set new values for model parameters. Parameters ---------- theta : array-like, shape (N, 1), where N is the number of free parameters.
The documentation for this class was generated from the following file:
- smica/model.py
