lensit.ffs_deflect¶
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lensit.ffs_deflect.ffs_deflect.
displacement_fromplm
(lib_plm, plm, **kwargs)[source]¶ Returns deflection-field instance from lensing gradient potential
Parameters: - lib_plm – ffs_alm or ffs_alm_pyFFTW instance describing the plm array
- plm – flat-sky lensing gradient potential alm array
Returns: Deflection field as ffs_displacement instance
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class
lensit.ffs_deflect.ffs_deflect.
ffs_displacement
(dx, dy, lsides, LD_res=(11, 11), verbose=False, NR_iter=3, lib_dir=None, cache_magn=False)[source]¶ Flat-sky deflection-field class
Used to perform lensing on maps and to obtain the inverse deflection for iterative lensing estimation
Parameters: - dx – deflection field, x-component \(\alpha_x\) (2d-array or path to array on disk)
- dy – deflection field, y-component \(\alpha_y\) (2d-array or path to array on disk)
- lsides (tuple) – physical size in radians of the flat-sky patch.
- LD_res (optional) – to perform inversion or lensing large maps are split into chunks sized these powers of two
- verbose (optional) – various prints out
- NR_iter (optional) – Number of Newton-Raphson iterations in deflection inversion. Default works very well for LCDM-like deflection fields
- cache_magn (optional) – optionally caches magnification determinant matrix when needed
- lib_dir (optional) – required only if cache_magn is set
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alm2lenmap
(lib_alm, alm, use_Pool=0, crude=0)[source]¶ Return deflected position-space map from its unlensed input harmonic coeffients.
Parameters: - lib_alm – lensit.ffs_covs.ell_mat.ffs_alm instance adapted to input alm array
- alm – input unlensed flat-sky alm array
Returns: position space map of shape lib_alm.shape
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get_det_magn
()[source]¶ Returns magnification determinant map
\(|M| = \det \begin{pmatrix} 1 + \frac{\partial \alpha_x}{\partial x} & \frac{\partial \alpha_x}{\partial y} \\ \frac{\partial \alpha_y}{\partial x} & 1 + \frac{\partial \alpha_y}{\partial y} \end{pmatrix}\)
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get_inverse
(NR_iter=None, use_Pool=0, crude=0, HD_res=None)[source]¶ Builds deflection field inverse
The inverse deflection is defined by the condition that forward-deflected points remap to the original points under the inverse displacement.
Parameters: - NR_iter (optional) – Number of Newton-Raphson iterations. Superseeds the instance NR_iter argument if set
- use_Pool (optional) – Send the calculation to the GPU if negative
- crude (optional) – Uses some faster but crude method for the inverse (check get_inverse_crude)
- HD_res (optional) – Set this to perform the inversion at higher resolution (tuple of powers of two)
Returns: inverse deflection field as ffs_displacement instance
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get_inverse_crude
(crude)[source]¶ Crude inversions of the displacement field
Parameters: crude – method key Supported now is only crude = 1, for which the inverse is approximated as the negative deflection
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get_kappa
()[source]¶ Convergence map.
Returns: \(\kappa = -\frac 12 \left( \frac{\partial \alpha_x}{\partial x} + \frac{\partial \alpha_y}{\partial y} \right)\)
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get_noisefreemf
(lib_qlm)[source]¶ Deflection induced mean-field estimate for a noisefree, isotropic experimental setting
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get_omega
()[source]¶ Field rotation map
Returns: \(\omega = \frac 12 \left( \frac{\partial \alpha_x}{\partial y} - \frac{\partial \alpha_y}{\partial x} \right)\)
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lens_alm
(lib_alm, alm, lib_alm_out=None, mult_magn=False, use_Pool=0)[source]¶ Returns lensed harmonic coefficients from the unlensed input coefficients
Parameters: - lib_alm – lensit.ffs_covs.ell_mat.ffs_alm instance adapted to input alm array
- alm – input unlensed flat-sky alm array
- lib_alm_out (optional) – output ffs_alm instance if difference from input
- mult_magn (optional) – optionally multiplies the real-space lensed map with the magnification det. if set.
- use_Pool (optional) – calculations are performed on the GPU if negative.
Returns: lensed alm array
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lens_map
(m, use_Pool=0, crude=0, do_not_prefilter=False)[source]¶ Lens the input flat-sky map, using a bicubic spline interpolation algorithm
The task is split in chunks (of typically (2048 * 2048) or specified by the LD_res parameters) with a buffer size to ensure the junctions are properly performed.
Parameters: - m – real-space map to deflect. numpy array, or the path to an array on disk.
- use_Pool (optional) – set this to < 0 to perform the operation on the GPU
- crude (optional) – uses an alternative crude approximation to lensing if set (check lens_map_crude)
- do_not_prefilter (optional) – sidesteps the bicubic interpolation prefiltering step. Only use this if you know what you are doing
Returns: deflected real-space map (array)