core_shell_microgelscostrafo411magnetic_modelrelease_v0.94release_v0.95ticket-1257-vesicle-productticket_1156ticket_1265_superballticket_822_more_unit_tests
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Last change
on this file since dbb0048 was
dbb0048,
checked in by HMP1 <helen.park@…>, 10 years ago
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cleanup
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-
Property mode set to
100644
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File size:
1.0 KB
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| Rev | Line | |
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| [dbb0048] | 1 | import numpy as np |
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| 2 | |
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| 3 | class GaussianDispersion(object): |
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| 4 | def __init__(self, npts=35, width=0, nsigmas=3): #number want, percent deviation, #standard deviations from mean |
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| 5 | self.type = 'gaussian' |
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| 6 | self.npts = npts |
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| 7 | self.width = width |
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| 8 | self.nsigmas = nsigmas |
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| 9 | |
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| 10 | def get_pars(self): |
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| 11 | return self.__dict__ |
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| 12 | |
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| 13 | def get_weights(self, center, min, max, relative): |
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| 14 | """ *center* is the center of the distribution |
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| 15 | *min*,*max* are the min, max allowed values |
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| 16 | *relative* is True if the width is relative to the center instead of absolute |
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| 17 | For polydispersity use relative. For orientation parameters use absolute.""" |
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| 18 | npts, width, nsigmas = self.npts, self.width, self.nsigmas |
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| 19 | sigma = width * center if relative else width |
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| 20 | if sigma == 0: |
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| 21 | return np.array([center, 1.], 'd') |
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| 22 | x = center + np.linspace(-nsigmas * sigma, +nsigmas * sigma, npts) |
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| 23 | x = x[(x >= min) & (x <= max)] |
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| 24 | px = np.exp((x-center)**2 / (-2.0 * sigma * sigma)) |
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| 25 | return x, px |
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| 26 | |
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