| 1 | from sas.sascalc.data_util.calcthread import CalcThread |
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| 2 | from sas.sascalc.dataloader.data_info import Data1D |
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| 3 | from scipy.fftpack import dct |
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| 4 | from scipy.integrate import trapz |
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| 5 | import numpy as np |
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| 6 | from time import sleep |
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| 7 | |
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| 8 | class FourierThread(CalcThread): |
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| 9 | def __init__(self, raw_data, extrapolated_data, bg, extrap_fn=None, |
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| 10 | updatefn=None, completefn=None): |
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| 11 | CalcThread.__init__(self, updatefn=updatefn, completefn=completefn) |
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| 12 | self.data = raw_data |
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| 13 | self.background = bg |
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| 14 | self.extrapolation = extrapolated_data |
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| 15 | self.extrap_fn = extrap_fn |
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| 16 | |
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| 17 | def compute(self): |
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| 18 | qs = self.extrapolation.x |
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| 19 | iqs = self.extrapolation.y |
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| 20 | q = self.data.x |
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| 21 | background = self.background |
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| 22 | |
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| 23 | xs = np.pi*np.arange(len(qs),dtype=np.float32)/(q[1]-q[0])/len(qs) |
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| 24 | |
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| 25 | self.ready(delay=0.0) |
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| 26 | self.update(msg="Fourier transform in progress.") |
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| 27 | self.ready(delay=0.0) |
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| 28 | |
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| 29 | if self.isquit(): |
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| 30 | return |
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| 31 | try: |
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| 32 | gamma1 = dct((iqs-background)*qs**2) |
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| 33 | gamma1 = gamma1 / gamma1.max() |
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| 34 | |
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| 35 | # gamma3(R) = 1/R int_{0}^{R} gamma1(x) dx |
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| 36 | # trapz uses the trapezium rule to calculate the integral |
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| 37 | mask = xs <= 200.0 # Only calculate gamma3 up to x=200 (as this is all that's plotted) |
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| 38 | gamma3 = [trapz(gamma1[:n], xs[:n])/xs[n-1] for n in range(2, len(xs[mask]) + 1)] |
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| 39 | gamma3.insert(0, 1.0) # Gamma_3(0) is defined as 1 |
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| 40 | gamma3 = np.array(gamma3) |
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| 41 | except Exception as e: |
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| 42 | import logging |
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| 43 | logger = logging.getLogger(__name__) |
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| 44 | logger.error(e) |
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| 45 | |
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| 46 | self.update(msg="Fourier transform failed.") |
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| 47 | self.complete(transforms=None) |
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| 48 | return |
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| 49 | if self.isquit(): |
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| 50 | return |
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| 51 | self.update(msg="Fourier transform completed.") |
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| 52 | |
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| 53 | transform1 = Data1D(xs, gamma1) |
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| 54 | transform3 = Data1D(xs[xs <= 200], gamma3) |
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| 55 | |
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| 56 | transforms = (transform1, transform3) |
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| 57 | |
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| 58 | self.complete(transforms=transforms) |
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| 59 | |
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| 60 | class HilbertThread(CalcThread): |
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| 61 | def __init__(self, raw_data, extrapolated_data, bg, updatefn=None, |
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| 62 | completefn=None): |
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| 63 | CalcThread.__init__(self, updatefn=updatefn, completefn=completefn) |
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| 64 | self.data = raw_data |
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| 65 | self.background = bg |
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| 66 | self.extrapolation = extrapolated_data |
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| 67 | |
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| 68 | def compute(self): |
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| 69 | qs = self.extrapolation.x |
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| 70 | iqs = self.extrapolation.y |
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| 71 | q = self.data.x |
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| 72 | background = self.background |
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| 73 | |
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| 74 | self.ready(delay=0.0) |
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| 75 | self.update(msg="Starting Hilbert transform.") |
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| 76 | self.ready(delay=0.0) |
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| 77 | if self.isquit(): |
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| 78 | return |
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| 79 | |
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| 80 | # TODO: Implement hilbert transform |
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| 81 | |
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| 82 | self.update(msg="Hilbert transform completed.") |
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| 83 | |
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| 84 | self.complete(transform=None) |
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