Changeset eec5fd6 in sasmodels for sasmodels/models
- Timestamp:
- Mar 18, 2016 4:58:02 AM (8 years ago)
- Branches:
- master, core_shell_microgels, costrafo411, magnetic_model, release_v0.94, release_v0.95, ticket-1257-vesicle-product, ticket_1156, ticket_1265_superball, ticket_822_more_unit_tests
- Children:
- ead4bd5
- Parents:
- 4f4e0d5 (diff), 4554131 (diff)
Note: this is a merge changeset, the changes displayed below correspond to the merge itself.
Use the (diff) links above to see all the changes relative to each parent. - Location:
- sasmodels/models
- Files:
-
- 6 edited
Legend:
- Unmodified
- Added
- Removed
-
sasmodels/models/bessel.py
r07142f3 rcbd37a7 67 67 #Bessel 68 68 parameters = [ 69 ["ignored", "", 0.0, [-inf, inf], "", "no parameterless functions"], 69 70 ] 70 71 71 source = ["lib/polevl.c", "lib/j1 d.c"]72 source = ["lib/polevl.c", "lib/j1_cephes.c"] 72 73 73 74 # No volume normalization despite having a volume parameter … … 77 78 78 79 Iq = """ 79 return j1(q);80 return 2.0*j1(q)/q; 80 81 """ 81 82 -
sasmodels/models/lib/j0_cephes.c
rbfef528 r094e320 44 44 */ 45 45 46 /* y0.c47 *48 * Bessel function of the second kind, order zero49 *50 *51 *52 * SYNOPSIS:53 *54 * double x, y, y0();55 *56 * y = y0( x );57 *58 *59 *60 * DESCRIPTION:61 *62 * Returns Bessel function of the second kind, of order63 * zero, of the argument.64 *65 * The domain is divided into the intervals [0, 5] and66 * (5, infinity). In the first interval a rational approximation67 * R(x) is employed to compute68 * y0(x) = R(x) + 2 * log(x) * j0(x) / PI.69 * Thus a call to j0() is required.70 *71 * In the second interval, the Hankel asymptotic expansion72 * is employed with two rational functions of degree 6/673 * and 7/7.74 *75 *76 *77 * ACCURACY:78 *79 * Absolute error, when y0(x) < 1; else relative error:80 *81 * arithmetic domain # trials peak rms82 * DEC 0, 30 9400 7.0e-17 7.9e-1883 * IEEE 0, 30 30000 1.3e-15 1.6e-1684 *85 */86 87 46 88 47 /* … … 95 54 96 55 double j0( double ); 97 98 56 double j0(double x) { 99 57 … … 291 249 292 250 q = 1.0/x; 293 w = sqrt f(q);251 w = sqrt(q); 294 252 295 253 p = w * polevl( q, MO, 7); 296 254 w = q*q; 297 255 xn = q * polevl( w, PH, 7) - PIO4F; 298 p = p * cos f(xn + xx);256 p = p * cos(xn + xx); 299 257 return(p); 300 258 #endif -
sasmodels/models/lib/j1_cephes.c
rbfef528 re2af2a9 32 32 * IEEE 0, 30 30000 2.6e-16 1.1e-16 33 33 * 34 *35 */36 /* y1.c37 *38 * Bessel function of second kind of order one39 *40 *41 *42 * SYNOPSIS:43 *44 * double x, y, y1();45 *46 * y = y1( x );47 *48 *49 *50 * DESCRIPTION:51 *52 * Returns Bessel function of the second kind of order one53 * of the argument.54 *55 * The domain is divided into the intervals [0, 8] and56 * (8, infinity). In the first interval a 25 term Chebyshev57 * expansion is used, and a call to j1() is required.58 * In the second, the asymptotic trigonometric representation59 * is employed using two rational functions of degree 5/5.60 *61 *62 *63 * ACCURACY:64 *65 * Absolute error:66 * arithmetic domain # trials peak rms67 * DEC 0, 30 10000 8.6e-17 1.3e-1768 * IEEE 0, 30 30000 1.0e-15 1.3e-1669 *70 * (error criterion relative when |y1| > 1).71 34 * 72 35 */ -
sasmodels/models/lib/polevl.c
r3936ad3 re2af2a9 50 50 Direct inquiries to 30 Frost Street, Cambridge, MA 02140 51 51 */ 52 52 53 double polevl( double x, double coef[8], int N ); 53 54 double p1evl( double x, double coef[8], int N ); -
sasmodels/models/poly_gauss_coil.py
r246517d r09b84ed 50 50 """ 51 51 52 from numpy import inf, sqrt, power52 from numpy import inf, sqrt, exp, power 53 53 54 54 name = "poly_gauss_coil" … … 69 69 def Iq(q, i_zero, radius_gyration, polydispersity): 70 70 # pylint: disable = missing-docstring 71 # need to trap the case of the polydispersity being 1 (ie, monodispersity)72 71 u = polydispersity - 1.0 73 if polydispersity == 1:74 minusoneonu = -1.0 / u75 else:76 minusoneonu = -1.0 / u77 72 z = ((q * radius_gyration) * (q * radius_gyration)) / (1.0 + 2.0 * u) 78 73 if (q == 0).any(): 79 inten = i_zero74 inten = i_zero 80 75 else: 81 inten = i_zero * 2.0 * (power((1.0 + u * z),minusoneonu) + z - 1.0 ) / ((1.0 + u) * (z * z)) 76 # need to trap the case of the polydispersity being 1 (ie, monodispersity!) 77 if polydispersity == 1: 78 inten = i_zero * 2.0 * (exp(-z) + z - 1.0 ) / (z * z) 79 else: 80 minusoneonu = -1.0 / u 81 inten = i_zero * 2.0 * (power((1.0 + u * z),minusoneonu) + z - 1.0 ) / ((1.0 + u) * (z * z)) 82 82 return inten 83 Iq.vectorized = True # Iq accepts an array of q values83 #Iq.vectorized = True # Iq accepts an array of q values 84 84 85 85 def Iqxy(qx, qy, *args): … … 100 100 background = 'background') 101 101 102 # these unit test values taken from SasView 3.1.2 102 103 tests = [ 103 [{'scale': 70.0, 'radius_gyration': 75.0, 'polydispersity': 2.0, 'background': 0.0},104 [{'scale': 1.0, 'i_zero': 70.0, 'radius_gyration': 75.0, 'polydispersity': 2.0, 'background': 0.0}, 104 105 [0.0106939, 0.469418], [57.6405, 0.169016]], 105 106 ] -
sasmodels/models/adsorbed_layer.py
rf10bc52 r4f4e0d5 6 6 7 7 r""" 8 This model describes the scattering from a layer of surfactant or polymer adsorbed on spherical particles under the conditions that (i) the particles (cores) are contrast-matched to the dispersion medium, (ii) *S(Q)* ~ 1 (ie, the particle volume fraction is dilute), (iii) the particle radius is >> layer thickness (ie, the interface is locally flat), and (iv) scattering from excess unadsorbed adsorbate in the bulk medium is absent or has been corrected for.8 This model describes the scattering from a layer of surfactant or polymer adsorbed on large, smooth, notionally spherical particles under the conditions that (i) the particles (cores) are contrast-matched to the dispersion medium, (ii) *S(Q)* ~ 1 (ie, the particle volume fraction is dilute), (iii) the particle radius is >> layer thickness (ie, the interface is locally flat), and (iv) scattering from excess unadsorbed adsorbate in the bulk medium is absent or has been corrected for. 9 9 10 10 Unlike many other core-shell models, this model does not assume any form for the density distribution of the adsorbed species normal to the interface (cf, a core-shell model normally assumes the density distribution to be a homogeneous step-function). For comparison, if the thickness of a (traditional core-shell like) step function distribution is *t*, the second moment about the mean of the density distribution (ie, the distance of the centre-of-mass of the distribution from the interface), |sigma| = sqrt((*t* :sup:`2` )/12). … … 34 34 35 35 description = """ 36 Evaluates the scattering from particles36 Evaluates the scattering from large particles 37 37 with an adsorbed layer of surfactant or 38 38 polymer, independent of the form of the … … 42 42 43 43 # ["name", "units", default, [lower, upper], "type", "description"], 44 parameters = [["second_moment", "Ang", 23.0, [0.0, inf], "", "Second moment "],45 ["adsorbed_amount", "mg/m2", 1.9, [0.0, inf], "", "Adsorbed amount "],46 ["density_ poly", "g/cm3", 0.7, [0.0, inf], "", "Polymer density"],47 ["radius", "Ang", 500.0, [0.0, inf], "", " Particle radius"],48 ["volfraction", "None", 0.14, [0.0, inf], "", " Particle volfraction"],49 [" polymer_sld", "1/Ang^2", 1.5e-06, [-inf, inf], "", "PolymerSLD"],50 ["s olvent_sld", "1/Ang^2", 6.3e-06, [-inf, inf], "", "Solvent SLD"]]44 parameters = [["second_moment", "Ang", 23.0, [0.0, inf], "", "Second moment of polymer distribution"], 45 ["adsorbed_amount", "mg/m2", 1.9, [0.0, inf], "", "Adsorbed amount of polymer"], 46 ["density_shell", "g/cm3", 0.7, [0.0, inf], "", "Bulk density of polymer in the shell"], 47 ["radius", "Ang", 500.0, [0.0, inf], "", "Core particle radius"], 48 ["volfraction", "None", 0.14, [0.0, inf], "", "Core particle volume fraction"], 49 ["sld_shell", "1e-6/Ang^2", 1.5, [-inf, inf], "sld", "Polymer shell SLD"], 50 ["sld_solvent", "1e-6/Ang^2", 6.3, [-inf, inf], "sld", "Solvent SLD"]] 51 51 52 52 # NB: Scale and Background are implicit parameters on every model 53 def Iq(q, second_moment, adsorbed_amount, density_ poly, radius,54 volfraction, polymer_sld, solvent_sld):53 def Iq(q, second_moment, adsorbed_amount, density_shell, radius, 54 volfraction, sld_shell, sld_solvent): 55 55 # pylint: disable = missing-docstring 56 deltarhosqrd = (polymer_sld - solvent_sld) * (polymer_sld - solvent_sld) 57 numerator = 6.0 * pi * volfraction * (adsorbed_amount * adsorbed_amount) 58 denominator = (q * q) * (density_poly * density_poly) * radius 59 eterm = exp(-1.0 * (q * q) * (second_moment * second_moment)) 60 #scale by 10^10 for units conversion to cm^-1 61 inten = 1.0e+10 * deltarhosqrd * ((numerator / denominator) * eterm) 56 # deltarhosqrd = (sld_shell - sld_solvent) * (sld_shell - sld_solvent) 57 # numerator = 6.0 * pi * volfraction * (adsorbed_amount * adsorbed_amount) 58 # denominator = (q * q) * (density_shell * density_shell) * radius 59 # eterm = exp(-1.0 * (q * q) * (second_moment * second_moment)) 60 # #scale by 10^-2 for units conversion to cm^-1 61 # inten = 1.0e-02 * deltarhosqrd * ((numerator / denominator) * eterm) 62 aa = (sld_shell - sld_solvent) * adsorbed_amount / q / density_shell 63 bb = q * second_moment 64 #scale by 10^-2 for units conversion to cm^-1 65 inten = 6.0e-02 * pi * volfraction * aa * aa * exp(-bb * bb) / radius 62 66 return inten 63 67 Iq.vectorized = True # Iq accepts an array of q values … … 71 75 second_moment = 23.0, 72 76 adsorbed_amount = 1.9, 73 density_ poly= 0.7,77 density_shell = 0.7, 74 78 radius = 500.0, 75 79 volfraction = 0.14, 76 polymer_sld = 1.5e-06,77 s olvent_sld = 6.3e-06,80 sld_shell = 1.5, 81 sld_solvent = 6.3, 78 82 background = 0.0) 79 83 … … 82 86 second_moment = 'second_moment', 83 87 adsorbed_amount = 'ads_amount', 84 density_ poly= 'density_poly',88 density_shell = 'density_poly', 85 89 radius = 'radius_core', 86 90 volfraction = 'volf_cores', 87 polymer_sld= 'sld_poly',88 s olvent_sld= 'sld_solv',91 sld_shell = 'sld_poly', 92 sld_solvent = 'sld_solv', 89 93 background = 'background') 90 94 … … 92 96 tests = [ 93 97 [{'scale': 1.0, 'second_moment': 23.0, 'adsorbed_amount': 1.9, 94 'density_ poly': 0.7, 'radius': 500.0, 'volfraction': 0.14,95 ' polymer_sld': 1.5e-06, 'solvent_sld': 6.3e-06, 'background': 0.0},98 'density_shell': 0.7, 'radius': 500.0, 'volfraction': 0.14, 99 'sld_shell': 1.5, 'sld_solvent': 6.3, 'background': 0.0}, 96 100 [0.0106939, 0.469418], [73.741, 9.65391e-53]], 97 101 ] 102 # ADDED by: SMK ON: 16Mar2016 convert from sasview, check vs SANDRA, 18Mar2016 RKH some edits & renaming
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