source: sasmodels/sasmodels/models/star_polymer.py @ d8ac2ad

core_shell_microgelsmagnetic_modelticket-1257-vesicle-productticket_1156ticket_1265_superballticket_822_more_unit_tests
Last change on this file since d8ac2ad was bef029d, checked in by butler, 7 years ago

Merge branch 'master' of https://github.com/SasView/sasmodels.git

  • Property mode set to 100644
File size: 3.5 KB
RevLine 
[55b283e8]1r"""
2Definition
3----------
4
[d439007]5Calcuates the scattering from a simple star polymer with f equal Gaussian coil
6arms. A star being defined as a branched polymer with all the branches
7emanating from a common central (in the case of this model) point.  It is
8derived as a special case of on the Benoit model for general branched
[30b60d2]9polymers\ [#CITBenoit]_ as also used by Richter *et al.*\ [#CITRichter]_
[d439007]10
[55b283e8]11For a star with $f$ arms the scattering intensity $I(q)$ is calculated as
12
13.. math::
14
[40a87fa]15    I(q) = \frac{2}{fv^2}\left[ v-1+\exp(-v)+\frac{f-1}{2}
16           \left[ 1-\exp(-v)\right]^2\right]
[55b283e8]17
18where
19
[d439007]20.. math:: v=\frac{uf}{(3f-2)}
[55b283e8]21
22and
23
[40a87fa]24.. math:: u = \left\langle R_{g}^2\right\rangle q^2
[55b283e8]25
[d439007]26contains the square of the ensemble average radius-of-gyration of the full
27polymer while v contains the radius of gyration of a single arm $R_{arm}$.
28The two are related as:
29
30.. math:: R_{arm}^2 = \frac{f}{3f-2} R_{g}^2
31
[40a87fa]32Note that when there is only one arm, $f = 1$, the Debye Gaussian coil
[d439007]33equation is recovered.
34
35.. note::
36   Star polymers in solutions tend to have strong interparticle and osmotic
37   effects. Thus the Benoit equation may not work well for many real cases.
[5da1ac8]38   A newer model for star polymer incorporating excluded volume has been
39   developed by Li et al in arXiv:1404.6269 [physics.chem-ph].  Also, at small
40   $q$ the scattering, i.e. the Guinier term, is not sensitive to the number of
41   arms, and hence 'scale' here is simply $I(q=0)$ as described for the
42   :ref:`mono-gauss-coil` model, using volume fraction $\phi$ and volume V
43   for the whole star polymer.
[55b283e8]44
[6b4f7f6]45References
46----------
[55b283e8]47
[d439007]48.. [#CITBenoit] H Benoit *J. Polymer Science*, 11, 507-510 (1953)
49.. [#CITRichter] D Richter, B. Farago, J. S. Huang, L. J. Fetters,
50   B Ewen *Macromolecules*, 22, 468-472 (1989)
51
52Authorship and Verification
53----------------------------
54
55* **Author:** Kieran Campbell **Date:** July 24, 2012
56* **Last Modified by:** Paul Butler **Date:** Auguts 26, 2017
57* **Last Reviewed by:** Ziang Li and Richard Heenan **Date:** May 17, 2017
[55b283e8]58"""
59
60from numpy import inf
61
62name = "star_polymer"
63title = "Star polymer model with Gaussian statistics"
64description = """
[6b4f7f6]65        Benoit 'Star polymer with Gaussian statistics'
[55b283e8]66        with
67        P(q) = 2/{fv^2} * (v - (1-exp(-v)) + {f-1}/2 * (1-exp(-v))^2)
68        where
69        - v = u^2f/(3f-2)
70        - u = <R_g^2>q^2, where <R_g^2> is the ensemble average radius of
[d439007]71        gyration squared of the entire polymer
[55b283e8]72        - f is the number of arms on the star
[d439007]73        - the radius of gyration of an arm is given b
74        Rg_arm^2 = R_g^2 * f/(3f-2)
[55b283e8]75        """
76category = "shape-independent"
[13ed84c]77single = False
[168052c]78# pylint: disable=bad-whitespace, line-too-long
[55b283e8]79#             ["name", "units", default, [lower, upper], "type","description"],
[d439007]80parameters = [["rg_squared", "Ang^2", 100.0, [0.0, inf], "", "Ensemble radius of gyration SQUARED of the full polymer"],
[55b283e8]81              ["arms",    "",      3,   [1.0, 6.0], "", "Number of arms in the model"],
[168052c]82             ]
83# pylint: enable=bad-whitespace, line-too-long
[55b283e8]84
85source = ["star_polymer.c"]
86
[48462b0]87def random():
88    import numpy as np
89    pars = dict(
90        #background=0,
91        scale=10**np.random.uniform(1, 4),
92        rg_squared=10**np.random.uniform(1, 8),
93        arms=np.random.uniform(1, 6),
94    )
95    return pars
[55b283e8]96
[6b4f7f6]97tests = [[{'rg_squared': 2.0,
[55b283e8]98           'arms':    3.3,
[6dd90c1]99          }, 0.5, 0.851646091108],
[55b283e8]100
[6b4f7f6]101         [{'rg_squared':    1.0,
[55b283e8]102           'arms':       2.0,
103           'background': 1.8,
[168052c]104          }, 1.0, 2.53575888234],
105        ]
[40a87fa]106# 23Mar2016  RKH edited docs, would this better use rg not rg^2 ? Numerical noise at extremely small q.rg
Note: See TracBrowser for help on using the repository browser.