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examples/Jupyter/MonochromatorCalibrationErrors.ipynb
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,92 @@ | ||
| from time import time | ||
| import numpy as np | ||
| fft_numpy = np.fft.fft | ||
|
|
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| fft_mkln = fft_mkls = fft_ws = fft_wp = fft_wn = None | ||
|
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||
| try: | ||
| import mkl_fft | ||
| from mkl_fft.interfaces.numpy_fft import fft as fft_mkln | ||
| from mkl_fft.interfaces.scipy_fft import fft as fft_mkls | ||
| except ImportError: | ||
| print("mkl not available") | ||
|
|
||
| try: | ||
| from pyfftw.interfaces.scipy_fft import fft as fft_ws | ||
| from pyfftw.interfaces.scipy_fftpack import fft as fft_wp | ||
| from pyfftw.interfaces.numpy_fft import fft as fft_wn | ||
| except: | ||
| print("pyfftw not available") | ||
|
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| from scipy.fftpack import fft as fft_pack | ||
| from scipy.fft import fft as fft_scipy | ||
|
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| from larch.io import read_ascii | ||
| from larch.xafs import pre_edge, autobk, xftf, xftf_prep | ||
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| METHODS = {} | ||
| for key, val in {'numpy': fft_numpy, 'scipy': fft_scipy, | ||
| 'fftpack': fft_pack, | ||
| 'mkl_numpy': fft_mkln, 'mkl_scipy': fft_mkls, | ||
| 'fftw_numpy': fft_wn, 'fftw_scipy': fft_ws, | ||
| 'fftw_pack': fft_wp}.items(): | ||
|
|
||
| if callable(val): | ||
| METHODS[key] = val | ||
|
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| fname = '../xafsdata/feo_rt1.xdi' | ||
| dat = read_ascii(fname, labels='energy mu i0') | ||
|
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| pre_edge(dat) | ||
| autobk(dat, rbkg=0.9, kweight=2) | ||
|
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| xftf(dat, kmin=2, kmax=13, dk=3, window='hanning', kweight=2) | ||
|
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| # plot_chir(dat, win=2) | ||
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| xk = dat.k | ||
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| xchi, win = xftf_prep(dat.k, dat.chi, kmin=2, kmax=13, dk=3, dk2=3, | ||
| kstep=0.05, window='hanning', kweight=2) | ||
|
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| nfft = 2048 | ||
| kstep = 0.05 | ||
| rstep = np.pi /(nfft*kstep) | ||
|
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| cchi = np.zeros(nfft, dtype='complex128') | ||
| cchi[0:len(xchi)] = xchi*win | ||
| r = rstep * np.arange(nfft//2) | ||
|
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||
| rscale = kstep/np.sqrt(np.pi) | ||
| results = {} | ||
| for key in METHODS: | ||
| results[key] = None | ||
|
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| out = {} | ||
| for key in METHODS: | ||
| out[key] = [] | ||
|
|
||
| #warm up | ||
| for name, meth in METHODS.items(): | ||
| for i in range(5): | ||
| t0 = time() | ||
| chir = rscale * meth(cchi) | ||
| results[name] = chir.real | ||
|
|
||
| for name, meth in METHODS.items(): | ||
| for i in range(50): | ||
| t0 = time() | ||
| for j in range(25): | ||
| chir = rscale * meth(cchi) | ||
| out[name].append(1e4*(time() -t0)) | ||
|
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| k,m,s,x = 'Method', 'Mean', 'Std', 'Max' | ||
| print(f"{k:10s} : {m:8s} {s:8s} {x:8s}") | ||
| for k, v in out.items(): | ||
| vn = np.array(v) | ||
| print(f"{k:10s} : {vn.mean():8.3f} {vn.std():8.3f} {vn.max():8.3f}") | ||
|
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| print("done") |
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