deconvolution 実行例
help出力 deconvolution.py --help
Warning in tkprogvars.py: Environment variable tkProg_Root is not given
tkProg_Root is speculated from the script path [D:\git\sphinx\tkProg\source\spectrum_\deconvolution.py]
time at startup: 26/06/10 07:08:04
usage: deconvolution.py [-h]
[--mode {plot,gs,jacobi,sp,ridge,nnls,convolve,fft,deconvolve}]
[--xmin XMIN] [--xmax XMAX] [--xlabel XLABEL]
[--ylabel YLABEL] [--flip-x {0,1}]
[--func-type {gauss,lorentz,lorentzian}] [--wa WA]
[--grange GRANGE] [--alpha ALPHA] [--dump DUMP]
[--nmaxiter NMAXITER] [--eps EPS] [--nsmooth NSMOOTH]
[--zero-correction {0,1}]
[--convmode {same,full,valid}]
[--smoothmode SMOOTHMODE] [--kzero KZERO]
[--klin KLIN] [--nnls-maxiter NNLS_MAXITER]
[--nnls-penalty {ridge,smooth}] [--template TEMPLATE]
[--figsize WIDTH HEIGHT]
[infile]
Deconvolute one-dimensional spectral data with a Gaussian or Lorentzian
instrumental function.
positional arguments:
infile Input data file readable by tkVariousData. (default:
pes.csv)
options:
-h, --help show this help message and exit
--mode {plot,gs,jacobi,sp,ridge,nnls,convolve,fft,deconvolve}
Calculation mode. nnls is non-negative least squares
using the instrumental function as basis functions.
(default: gs)
--xmin XMIN Minimum x value. Use '*' or 'none' for no lower limit.
(default: -100000000.0)
--xmax XMAX Maximum x value. Use '*' or 'none' for no upper limit.
(default: 100000000.0)
--xlabel XLABEL X column index or label. (default: 0)
--ylabel YLABEL Y column index or label. (default: 1)
--flip-x {0,1}, --flip_x {0,1}
If 1, multiply input x values by -1 before range
filtering, plotting, and calculation. (default: 0)
--func-type {gauss,lorentz,lorentzian}
Instrumental/window-function type. (default: gauss)
--wa WA Half width at half maximum of the instrumental
function. (default: 0.12)
--grange GRANGE Window-function range in units of wa for sampled
filters. (default: 2.0)
--alpha ALPHA Regularization coefficient for ridge/sp modes.
(default: 0.1)
--dump DUMP Damping factor for Jacobi/Gauss-Seidel iterations.
(default: 1.0)
--nmaxiter NMAXITER Maximum iteration count for Jacobi/Gauss-Seidel modes.
(default: 300)
--eps EPS Relative convergence criterion for iterative modes.
(default: 0.0001)
--nsmooth NSMOOTH Smoothing width used by polynomial smoothing.
(default: 5)
--zero-correction {0,1}
Clip negative values to zero after each iterative
update. (default: 0)
--convmode {same,full,valid}
np.convolve mode used when smoothmode contains
convolve. (default: same)
--smoothmode SMOOTHMODE
Combination of 'average', 'extend', and 'convolve'.
Use 'none' or an empty string for no preprocessing.
Default is mode-dependent: 'convolve+extend' for
convolve/fft, otherwise no preprocessing. (default:
None)
--kzero KZERO Number of half-window widths used for zero extension.
(default: 5)
--klin KLIN Number of half-window widths used for linear edge
shaping. (default: 5)
--nnls-maxiter NNLS_MAXITER
Maximum iteration count for nnls / bounded least-
squares solvers. (default: None)
--nnls-penalty {ridge,smooth}
Regularization penalty used when --mode nnls and
--alpha > 0. ridge penalizes coefficient size; smooth
penalizes first differences. Use --alpha 0 for pure
NNLS without regularization. (default: ridge)
--template TEMPLATE Excel template used by tkVariousData.to_excel.
(default: StandardGraph.xlsm)
--figsize WIDTH HEIGHT
Matplotlib figure size. (default: (6, 6))
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