Libraries

`distribution`

Pre-defined distribution derived from the parent class Distribution.

class nexus.lib.distribution.Array(values, weight)

Distributions from two arrays.

Parameters:

delta (list or ndarray) – Array of delta values.
weight (list or ndarray) – Array of weight values.

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.AsymmetricGaussian(points, hwhm_low, hwhm_high)

Asymmetric Gaussian distribution with lower and higher HWHMs.

Parameters:

points (int) – Number of points in the distribution.
hwhm_low (float or Var) – HWHM of the Gaussian distribution for the lower values.
hwhm_high (float) – HWHM of the Gaussian distribution for the higher values.

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.DoubleGaussian(points, fwhm1, fwhm2, offset2, weight2)

Double Gaussian distribution with the given two FWHMs offset to each other and with a relative weight.

Parameters:

points (int) – Number of points in the distribution.
fwhm1 (float or Var) – FWHM of the first Gaussian distribution around the zero position.
fwhm2 (float or Var) – FWHM of the second Gaussian distribution.
offset2 (float or Var) – offset of the second Gaussian distributions.
weight2 (float or Var) – relative weight of the second Gaussian distributions.

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.File(filename)

Distributions from a file. delta values in column 1. Relative weight in column 2.

Parameters:: filename (string) – filename (with path) to be loaded by numpy.loadtxt(filename).

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.Gaussian(points, fwhm)

Gaussian distribution with the given FWHM.

see https://en.wikipedia.org/wiki/Gaussian_function

Parameters:

points (int) – Number of points in the distribution.
fwhm (float or Var) – FWHM of the Gaussian distribution.

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.Log(points, sigma)

Log distributions with the given sigma value.

see https://en.wikipedia.org/wiki/Log-normal_distribution

Parameters:

points (int) – Number of points in the distribution.
sigma (float or Var) – Sigma of the Log distribution.

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.Logistic(points, sigma)

Logistic distributions with the given sigma value.

see https://en.wikipedia.org/wiki/Logistic_distribution

Parameters:

points (int) – Number of points in the distribution.
sigma (float or Var) – Sigma value of the Logistic distribution.

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.Lorentzian(points, fwhm)

Lorentzian distributions with the given FWHM.

see https://en.wikipedia.org/wiki/Cauchy_distribution

Parameters:

points (int) – Number of points in the distribution.
fwhm (float or Var) – FWHM of the Lorentzian distribution.

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.NegGaussian(points, fwhm, target_var)

Gaussian distribution with the given FWHM and cut to negative values only.

Parameters:

points (int) – Number of points in the distribution.
fwhm (float or Var) – FWHM of the Gaussian distribution.
target_var (Var) – Target Var.

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.PosGaussian(points, fwhm, target_var)

Gaussian distribution with the given FWHM and cut to positive values only.

Parameters:

points (int) – Number of points in the distribution.
fwhm (float or Var) – FWHM of the Gaussian distribution.
target_var (Var) – Target Var.

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.Random(points, width)

Random distribution in the range of width with weight of one.

Parameters:

points (int) – Number of points in the distribution
width (float or Var) – width of the distribution in absolute values

DistributionFunction(): Call of the distribution function implementation from python.

class nexus.lib.distribution.Rectangle(points, width)

Equally spaced distribution in the range of width with values of one.

Parameters:

points (int) – Number of points in the distribution
width (float or Var) – width of the distribution in absolute values

DistributionFunction(): Call of the distribution function implementation from python.

Example

import matplotlib.pyplot as plt

# Gaussian distribution object from nexus.lib.distribution.
gauss_dist = nx.lib.distribution.Gaussian(points = 101, fwhm = nx.Var(3, min = 0, max = 7, fit = True))

# Call of the distribution function. delta and weight are set by the call.
gauss_dist.DistributionFunction()

plt.plot(gauss_dist.delta, gauss_dist.weight)
plt.show()

`material`

The material module serves as a library for standard materials which are instances of the Material class. Almost all elements as well as typical alloys and compounds are covered in the library. Literature values are used for the material composition and density. For materials with a Moessbauer isotope, also the natural abundance and the Lamb Moessbauer factor (at room temperature, when available) are set properly.

A material can be accessed via nx.lib.materials.Name. The .Name for elements is the element symbol, e.g. for carbon its nx.lib.material.C and so on.

For isotope material often an enriched version is defined as Name_enriched, e.g. nexus.material_lib.Fe_enriched.

Alloys can be accessed by their name or a typical abbreviation. For example, permalloy can be called via nexus.lib.material.permalloy or nexus.lib.material.Py.

Compounds can be accessed via their material composition. For example, silicon nitride is referenced as nexus.Materials.Si3N4.

Note

Defining a material with a Material from material should always done by the method Material.Template().

my_material = nx.Material.Template(nx.lib.material.Name)

nexus.lib.material.Ag = Material .id: Ag .composition: Ag 1.0 .density (g/cm^3) Var.value = 10.49, .min = 0.0, .max = 10.49, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 5.856430029647292e+28 .average_mole_mass (g/mole) = 107.8682 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Silver

nexus.lib.material.Al = Material .id: Al .composition: Al 1.0 .density (g/cm^3) Var.value = 2.7, .min = 0.0, .max = 2.7, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 6.026261294278164e+28 .average_mole_mass (g/mole) = 26.9815384 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Aluminum

nexus.lib.material.Al2O3 = Material .id: Al2O3 sapphire .composition: Al 2.0 O 3.0 .density (g/cm^3) Var.value = 3.98, .min = 0.0, .max = 3.98, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 1.1753678977613322e+29 .average_mole_mass (g/mole) = 20.392015360000002 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Sapphire

nexus.lib.material.As = Material .id: As .composition: As 1.0 .density (g/cm^3) Var.value = 5.727, .min = 0.0, .max = 5.727, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 4.603318994012341e+28 .average_mole_mass (g/mole) = 74.921595 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Arsenic

nexus.lib.material.Au = Material .id: Au .composition: Au 1.0 .density (g/cm^3) Var.value = 19.3, .min = 0.0, .max = 19.3, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 5.900865140109817e+28 .average_mole_mass (g/mole) = 196.96657 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Gold

nexus.lib.material.B = Material .id: B .composition: B 1.0 .density (g/cm^3) Var.value = 2.08, .min = 0.0, .max = 2.08, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 1.1587467882331173e+29 .average_mole_mass (g/mole) = 10.81 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Boron

nexus.lib.material.B4C = Material .id: B4C boron carbide .composition: B 4.0 C 1.0 .density (g/cm^3) Var.value = 2.52, .min = 0.0, .max = 2.52, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 1.3733502303306725e+29 .average_mole_mass (g/mole) = 11.050200000000002 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Boron carbide

nexus.lib.material.BN = Material .id: BN boron nitride .composition: B 1.0 N 1.0 .density (g/cm^3) Var.value = 2.1, .min = 0.0, .max = 2.1, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 1.0191800456138937e+29 .average_mole_mass (g/mole) = 12.4085 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : boron nitride

nexus.lib.material.Be = Material .id: Be .composition: Be 1.0 .density (g/cm^3) Var.value = 1.85, .min = 0.0, .max = 1.85, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 1.2362110581175387e+29 .average_mole_mass (g/mole) = 9.0121831 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Beryllium

nexus.lib.material.C = Material .id: C .composition: C 1.0 .density (g/cm^3) Var.value = 2.25, .min = 0.0, .max = 2.25, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 1.1281172849887603e+29 .average_mole_mass (g/mole) = 12.011 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Carbon

nexus.lib.material.Ca = Material .id: Ca .composition: Ca 1.0 .density (g/cm^3) Var.value = 1.55, .min = 0.0, .max = 1.55, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 2.329037920554918e+28 .average_mole_mass (g/mole) = 40.078 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Calcium

nexus.lib.material.Cd = Material .id: Cd .composition: Cd 1.0 .density (g/cm^3) Var.value = 8.65, .min = 0.0, .max = 8.65, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 4.633899476399736e+28 .average_mole_mass (g/mole) = 112.414 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Cadmium

nexus.lib.material.Co = Material .id: Co .composition: Co 1.0 .density (g/cm^3) Var.value = 8.9, .min = 0.0, .max = 8.9, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 9.09454402963464e+28 .average_mole_mass (g/mole) = 58.933194 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Cobalt

nexus.lib.material.Cr = Material .id: Cr .composition: Cr 1.0 .density (g/cm^3) Var.value = 7.19, .min = 0.0, .max = 7.19, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 8.327392259111741e+28 .average_mole_mass (g/mole) = 51.9961 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Chromium

nexus.lib.material.Cu = Material .id: Cu .composition: Cu 1.0 .density (g/cm^3) Var.value = 8.96, .min = 0.0, .max = 8.96, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 8.491231739149593e+28 .average_mole_mass (g/mole) = 63.546 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Copper

nexus.lib.material.Dy = Material .id: Dy .composition: Dy 1.0 .density (g/cm^3) Var.value = 8.6, .min = 0.0, .max = 8.6, .fit: False, .id: .isotope: 161-Dy .abundance Var.value = 0.18889, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.2605, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 3.192940582826907e+28 .average_mole_mass (g/mole) = 162.20286344992599 .isotope_number_density (1/m^3) = 6.031145466901745e+27 number of hyperfine sites 0 : Dysprosium

nexus.lib.material.Eu = Material .id: Eu .composition: Dy 1.0 .density (g/cm^3) Var.value = 8.6, .min = 0.0, .max = 8.6, .fit: False, .id: .isotope: 161-Dy .abundance Var.value = 0.47816, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 3.2019232001809985e+28 .average_mole_mass (g/mole) = 161.747822474544 .isotope_number_density (1/m^3) = 1.531031597398546e+28 number of hyperfine sites 0 : Europium

nexus.lib.material.Fe = Material .id: Fe .composition: Fe 1.0 .density (g/cm^3) Var.value = 7.874, .min = 0.0, .max = 7.874, .fit: False, .id: .isotope: 57-Fe .abundance Var.value = 0.02119, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.796, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 8.487550450450646e+28 .average_mole_mass (g/mole) = 55.868105434026994 .isotope_number_density (1/m^3) = 1.7985119404504918e+27 number of hyperfine sites 0 : Iron

nexus.lib.material.Fe2O3 = Material .id: Fe2O3 hematite .composition: Fe 2.0 O 3.0 .density (g/cm^3) Var.value = 5.25, .min = 0.0, .max = 5.25, .fit: False, .id: .isotope: 57-Fe .abundance Var.value = 0.02, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.793, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 9.896737342779206e+28 .average_mole_mass (g/mole) = 31.946123146399998 .isotope_number_density (1/m^3) = 7.917389874223365e+26 number of hyperfine sites 0 : hematite

nexus.lib.material.Fe2O3_enriched = Material .id: 57-Fe2O3 hematite .composition: Fe 2.0 O 3.0 .density (g/cm^3) Var.value = 5.25, .min = 0.0, .max = 5.25, .fit: False, .id: .isotope: 57-Fe .abundance Var.value = 0.95, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.793, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 9.772652027660575e+28 .average_mole_mass (g/mole) = 32.351749454 .isotope_number_density (1/m^3) = 3.7136077705110184e+28 number of hyperfine sites 0 : hematite enriched in rion to 95%

nexus.lib.material.Fe3O4 = Material .id: Fe3O4 magnetite .composition: Fe 3.0 O 4.0 .density (g/cm^3) Var.value = 5.0, .min = 0.0, .max = 5.0, .fit: False, .id: .isotope: 57-Fe .abundance Var.value = 0.02, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.796, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 9.100957749065182e+28 .average_mole_mass (g/mole) = 33.08520337114285 .isotope_number_density (1/m^3) = 7.800820927770156e+26 number of hyperfine sites 0 : magnetite

nexus.lib.material.Fe3O4_enriched = Material .id: Fe3O4 magnetite .composition: Fe 3.0 O 4.0 .density (g/cm^3) Var.value = 5.0, .min = 0.0, .max = 5.0, .fit: False, .id: .isotope: 57-Fe .abundance Var.value = 0.95, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.796, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 8.982959658859318e+28 .average_mole_mass (g/mole) = 33.51980298642857 .isotope_number_density (1/m^3) = 3.6573478611070076e+28 number of hyperfine sites 0 : magnetite enriched in rion to 95%

nexus.lib.material.Fe_enriched = Material .id: 57-Fe .composition: Fe 1.0 .density (g/cm^3) Var.value = 7.874, .min = 0.0, .max = 7.874, .fit: False, .id: .isotope: 57-Fe .abundance Var.value = 0.95, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.796, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 8.336428981122838e+28 .average_mole_mass (g/mole) = 56.880873635 .isotope_number_density (1/m^3) = 7.919607532066696e+28 number of hyperfine sites 0 : Iron enriched to 95%

nexus.lib.material.Ga = Material .id: Ga .composition: Ga 1.0 .density (g/cm^3) Var.value = 5.91, .min = 0.0, .max = 5.91, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 5.104607072501183e+28 .average_mole_mass (g/mole) = 69.723 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Gallium

nexus.lib.material.Ge = Material .id: Ge .composition: Ge 1.0 .density (g/cm^3) Var.value = 5.323, .min = 0.0, .max = 5.323, .fit: False, .id: .isotope: 73-Ge .abundance Var.value = 0.0776, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.8416, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 4.412199865450065e+28 .average_mole_mass (g/mole) = 72.65277241064 .isotope_number_density (1/m^3) = 3.4238670955892507e+27 number of hyperfine sites 0 : Germanium

nexus.lib.material.I = Material .id: I .composition: I 1.0 .density (g/cm^3) Var.value = 4.933, .min = 0.0, .max = 4.933, .fit: False, .id: .isotope: 127-I .abundance Var.value = 1.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 2.340912005816776e+28 .average_mole_mass (g/mole) = 126.904472681 .isotope_number_density (1/m^3) = 2.340912005816776e+28 number of hyperfine sites 0 : Iodine

nexus.lib.material.In = Material .id: In .composition: In 1.0 .density (g/cm^3) Var.value = 7.31, .min = 0.0, .max = 7.31, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 3.83405467397098e+28 .average_mole_mass (g/mole) = 114.818 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Indium

nexus.lib.material.Ir = Material .id: Ir .composition: Ir 1.0 .density (g/cm^3) Var.value = 22.56, .min = 0.0, .max = 22.56, .fit: False, .id: .isotope: 193-Ir .abundance Var.value = 0.627, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.038, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 7.050871090016831e+28 .average_mole_mass (g/mole) = 192.68469641709999 .isotope_number_density (1/m^3) = 4.420896173440553e+28 number of hyperfine sites 0 : Iridium

nexus.lib.material.K = Material .id: K .composition: K 1.0 .density (g/cm^3) Var.value = 0.89, .min = 0.0, .max = 0.89, .fit: False, .id: .isotope: 40-K .abundance Var.value = 0.0001171, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 1.370824659869904e+28 .average_mole_mass (g/mole) = 39.098401373292006 .isotope_number_density (1/m^3) = 1.6052356767076578e+24 number of hyperfine sites 0 : Potassium

nexus.lib.material.Li = Material .id: Li .composition: Li 1.0 .density (g/cm^3) Var.value = 0.534, .min = 0.0, .max = 0.534, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 4.633750959423631e+28 .average_mole_mass (g/mole) = 6.94 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Lithium

nexus.lib.material.Mg = Material .id: Mg .composition: Mg 1.0 .density (g/cm^3) Var.value = 1.738, .min = 0.0, .max = 1.738, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 4.306307607850237e+28 .average_mole_mass (g/mole) = 24.305 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Magnesium

nexus.lib.material.MgO = Material .id: MgO magnesium oxide .composition: Mg 1.0 O 1.0 .density (g/cm^3) Var.value = 3.6, .min = 0.0, .max = 3.6, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 1.0758091869789598e+29 .average_mole_mass (g/mole) = 20.152 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Magnesium oxide

nexus.lib.material.Mn = Material .id: Mn .composition: Mn 1.0 .density (g/cm^3) Var.value = 7.21, .min = 0.0, .max = 7.21, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 7.903382157169304e+28 .average_mole_mass (g/mole) = 54.938043 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Manganese

nexus.lib.material.Mo = Material .id: Mo .composition: Mo 1.0 .density (g/cm^3) Var.value = 10.28, .min = 0.0, .max = 10.28, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 6.452069516706618e+28 .average_mole_mass (g/mole) = 95.95 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Molybdenum

nexus.lib.material.Na = Material .id: Na .composition: Na 1.0 .density (g/cm^3) Var.value = 0.968, .min = 0.0, .max = 0.968, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 2.5356636618147042e+28 .average_mole_mass (g/mole) = 22.98976928 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Sodium

nexus.lib.material.Nb = Material .id: Nb .composition: Nb 1.0 .density (g/cm^3) Var.value = 8.57, .min = 0.0, .max = 8.57, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 5.555027746019999e+28 .average_mole_mass (g/mole) = 92.90637 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Niobium

nexus.lib.material.Ni = Material .id: Ni .composition: Ni 1.0 .density (g/cm^3) Var.value = 8.908, .min = 0.0, .max = 8.908, .fit: False, .id: .isotope: 61-Ni .abundance Var.value = 0.011399, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0007719, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 9.13593808087343e+28 .average_mole_mass (g/mole) = 58.71890704074399 .isotope_number_density (1/m^3) = 1.0414055818387622e+27 number of hyperfine sites 0 : Nickel

nexus.lib.material.Pd = Material .id: Pd .composition: Pd 1.0 .density (g/cm^3) Var.value = 12.023, .min = 0.0, .max = 12.023, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = inf .average_mole_mass (g/mole) = 0.0 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Palladium

nexus.lib.material.Pt = Material .id: Pt .composition: Pt 1.0 .density (g/cm^3) Var.value = 21.45, .min = 0.0, .max = 21.45, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 6.621502496463062e+28 .average_mole_mass (g/mole) = 195.084 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Platinum

nexus.lib.material.Py = Material .id: permalloy Ni80Fe20 wt% .composition: Ni 79.2 Fe 20.8 .density (g/cm^3) Var.value = 8.7, .min = 0.0, .max = 8.7, .fit: False, .id: .isotope: 57-Fe .abundance Var.value = 0.02, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.796, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 9.016814709775486e+28 .average_mole_mass (g/mole) = 58.105468836128 .isotope_number_density (1/m^3) = 3.750994919266602e+26 number of hyperfine sites 0 : permalloy

nexus.lib.material.Py_enriched = Material .id: 57-permalloy Ni80Fe20 wt% .composition: Ni 79.2 Fe 20.8 .density (g/cm^3) Var.value = 8.7, .min = 0.0, .max = 8.7, .fit: False, .id: .isotope: 57-Fe .abundance Var.value = 0.95, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.76, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 8.984201620618608e+28 .average_mole_mass (g/mole) = 58.31639451608 .isotope_number_density (1/m^3) = 1.775278240234237e+28 number of hyperfine sites 0 : permalloy enriched in iron to 95%

nexus.lib.material.Rb = Material .id: Ru .composition: Ru 1.0 .density (g/cm^3) Var.value = 1.532, .min = 0.0, .max = 1.532, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 9.128247397170279e+27 .average_mole_mass (g/mole) = 101.07 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Rubidium

nexus.lib.material.Rh = Material .id: Rh .composition: Rh 1.0 .density (g/cm^3) Var.value = 12.41, .min = 0.0, .max = 12.41, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 7.2624664467950155e+28 .average_mole_mass (g/mole) = 102.90549 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Rhodium

nexus.lib.material.Ru = Material .id: Ru .composition: Ru 1.0 .density (g/cm^3) Var.value = 12.45, .min = 0.0, .max = 12.45, .fit: False, .id: .isotope: 99-Ru .abundance Var.value = 0.1276, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.033, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 7.4385134279993265e+28 .average_mole_mass (g/mole) = 100.79386585467999 .isotope_number_density (1/m^3) = 9.49154313412714e+27 number of hyperfine sites 0 : Ruthenium

nexus.lib.material.SS = Material .id: stainless steel Fe55Cr25Ni20 wt% .composition: Fe 54.52 Cr 26.62 Ni 18.86 .density (g/cm^3) Var.value = 7.8, .min = 0.0, .max = 7.8, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 8.485315760186361e+28 .average_mole_mass (g/mole) = 55.357631059999996 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Stainless steel

nexus.lib.material.SS_enriched = Material .id: 57-stainless steel Fe55Cr25Ni20 wt% .composition: Fe 54.52 Cr 26.62 Ni 18.86 .density (g/cm^3) Var.value = 7.8, .min = 0.0, .max = 7.8, .fit: False, .id: .isotope: 57-Fe .abundance Var.value = 0.95, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.76, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 8.399622845286549e+28 .average_mole_mass (g/mole) = 55.922389365802 .isotope_number_density (1/m^3) = 4.350500656487715e+28 number of hyperfine sites 0 : Stainless steel enriched in iron to 95%

nexus.lib.material.Sb = Material .id: Sb .composition: Sb 1.0 .density (g/cm^3) Var.value = 6.697, .min = 0.0, .max = 6.697, .fit: False, .id: .isotope: 121-Sb .abundance Var.value = 0.5725, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.057, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 3.325664361620586e+28 .average_mole_mass (g/mole) = 121.26983448824998 .isotope_number_density (1/m^3) = 1.9039428470277856e+28 number of hyperfine sites 0 : Antimony

nexus.lib.material.Sc = Material .id: Sc .composition: Sc 1.0 .density (g/cm^3) Var.value = 2.985, .min = 0.0, .max = 2.985, .fit: False, .id: .isotope: 45-Sc .abundance Var.value = 1.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.837, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 3.998604202425274e+28 .average_mole_mass (g/mole) = 44.95591276 .isotope_number_density (1/m^3) = 3.998604202425274e+28 number of hyperfine sites 0 : Scandium

nexus.lib.material.Si = Material .id: Si .composition: Si 1.0 .density (g/cm^3) Var.value = 2.336, .min = 0.0, .max = 2.336, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 5.008980172818231e+28 .average_mole_mass (g/mole) = 28.085 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Silicon

nexus.lib.material.Si3N4 = Material .id: Si3N4 silicon nitride .composition: Si 3.0 N 4.0 .density (g/cm^3) Var.value = 3.17, .min = 0.0, .max = 3.17, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 9.525837304905085e+28 .average_mole_mass (g/mole) = 20.04042857142857 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Silicon nitride

nexus.lib.material.SiC = Material .id: SiC silicon carbide .composition: Si 1.0 C 1.0 .density (g/cm^3) Var.value = 3.16, .min = 0.0, .max = 3.16, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 9.49220111811652e+28 .average_mole_mass (g/mole) = 20.048000000000002 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Silicon carbide

nexus.lib.material.SiO2 = Material .id: SiO2 silicon dioxide .composition: Si 1.0 O 2.0 .density (g/cm^3) Var.value = 2.648, .min = 0.0, .max = 2.648, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 7.9622998514455e+28 .average_mole_mass (g/mole) = 20.02766666666667 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Silicon dioxide

nexus.lib.material.Sm = Material .id: Sm .composition: Sm 1.0 .density (g/cm^3) Var.value = 7.518, .min = 0.0, .max = 4.933, .fit: False, .id: .isotope: 149-Sm .abundance Var.value = 0.1382, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.327, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 3.0150687564920203e+28 .average_mole_mass (g/mole) = 150.16060292554002 .isotope_number_density (1/m^3) = 4.1668250214719715e+27 number of hyperfine sites 0 

Samarium

versionadded: 1.1.2

nexus.lib.material.Sn = Material .id: Sn .composition: Sn 1.0 .density (g/cm^3) Var.value = 6.99, .min = 0.0, .max = 6.99, .fit: False, .id: .isotope: 119-Sn .abundance Var.value = 0.0859, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.04, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 3.5455207154342813e+28 .average_mole_mass (g/mole) = 118.72660545785 .isotope_number_density (1/m^3) = 3.0456022945580477e+27 number of hyperfine sites 0 : Tin

nexus.lib.material.SnO = Material .id: SnO stannous oxide .composition: Sn 1.0 O 1.0 .density (g/cm^3) Var.value = 6.45, .min = 0.0, .max = 6.45, .fit: False, .id: .isotope: 119-Sn .abundance Var.value = 0.086, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.27, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 5.7662093551740445e+28 .average_mole_mass (g/mole) = 67.3628123945 .isotope_number_density (1/m^3) = 2.479470022724839e+27 number of hyperfine sites 0 : Tin oxide, stannous oxide

nexus.lib.material.SnO2 = Material .id: SnO2 stannic oxide .composition: Sn 1.0 O 2.0 .density (g/cm^3) Var.value = 6.95, .min = 0.0, .max = 6.95, .fit: False, .id: .isotope: 119-Sn .abundance Var.value = 0.086, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.6289, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 8.330532255215379e+28 .average_mole_mass (g/mole) = 50.241541596333334 .isotope_number_density (1/m^3) = 2.3880859131617417e+27 number of hyperfine sites 0 : Tin dioxide, stannic oxide,

nexus.lib.material.SnO2_enriched = Material .id: SnO2 stannic oxide enriched .composition: Sn 1.0 O 2.0 .density (g/cm^3) Var.value = 6.95, .min = 0.0, .max = 6.95, .fit: False, .id: .isotope: 119-Sn .abundance Var.value = 0.97, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.6289, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 8.321098026893137e+28 .average_mole_mass (g/mole) = 50.29850405166667 .isotope_number_density (1/m^3) = 2.6904883620287806e+28 number of hyperfine sites 0 : Tin dioxide, stannic oxide, enriched in tin to 97%

nexus.lib.material.SnO_enriched = Material .id: SnO stannous oxide enriched .composition: Sn 1.0 O 1.0 .density (g/cm^3) Var.value = 6.45, .min = 0.0, .max = 6.45, .fit: False, .id: .isotope: 119-Sn .abundance Var.value = 0.97, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.27, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 5.7589047013118445e+28 .average_mole_mass (g/mole) = 67.4482560775 .isotope_number_density (1/m^3) = 2.7930687801362443e+28 number of hyperfine sites 0 : Tin oxide, stannous oxide, enriched in tin to 97%

nexus.lib.material.Sn_enriched = Material .id: Sn resonant .composition: Sn 1.0 .density (g/cm^3) Var.value = 6.99, .min = 0.0, .max = 6.99, .fit: False, .id: .isotope: 119-Sn .abundance Var.value = 0.97, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.04, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 3.540424282177025e+28 .average_mole_mass (g/mole) = 118.897512155 .isotope_number_density (1/m^3) = 3.434211553711714e+28 number of hyperfine sites 0 : Tin enriched to 97%

nexus.lib.material.Sr = Material .id: Sr .composition: Sr 1.0 .density (g/cm^3) Var.value = 2.64, .min = 0.0, .max = 2.64, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 1.8144774716274822e+28 .average_mole_mass (g/mole) = 87.62 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Strontium

nexus.lib.material.Ta = Material .id: Ta .composition: Ta 1.0 .density (g/cm^3) Var.value = 16.69, .min = 0.0, .max = 16.69, .fit: False, .id: .isotope: 181-Ta .abundance Var.value = 0.99988, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 5.554608576168184e+28 .average_mole_mass (g/mole) = 180.94799643602602 .isotope_number_density (1/m^3) = 5.553942023139044e+28 number of hyperfine sites 0 : Tantalum

nexus.lib.material.Ta2O5 = Material .id: Ta2O5 tantalum pentoxide .composition: Ta 2.0 O 5.0 .density (g/cm^3) Var.value = 8.37, .min = 0.0, .max = 8.37, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 7.984716112380353e+28 .average_mole_mass (g/mole) = 63.12725142857143 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Tantalum pentoxide

nexus.lib.material.Tc = Material .id: Tc .composition: Tc 1.0 .density (g/cm^3) Var.value = 11.0, .min = 0.0, .max = 11.0, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 6.6976133306102144e+28 .average_mole_mass (g/mole) = 98.9062 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Technetium

nexus.lib.material.Te = Material .id: Te .composition: Te 1.0 .density (g/cm^3) Var.value = 6.24, .min = 0.0, .max = 6.24, .fit: False, .id: .isotope: 125-Te .abundance Var.value = 0.0699, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0081, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 2.9493518900818584e+28 .average_mole_mass (g/mole) = 127.41157970593001 .isotope_number_density (1/m^3) = 2.061596971167219e+27 number of hyperfine sites 0 : Tellurium

nexus.lib.material.V = Material .id: V .composition: V 1.0 .density (g/cm^3) Var.value = 6.11, .min = 0.0, .max = 6.11, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 7.223046051568956e+28 .average_mole_mass (g/mole) = 50.9415 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Vanadium

nexus.lib.material.W = Material .id: W .composition: W 1.0 .density (g/cm^3) Var.value = 19.3, .min = 0.0, .max = 19.3, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 6.322199557658833e+28 .average_mole_mass (g/mole) = 183.84 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Tungsten

nexus.lib.material.WC = Material .id: WC tungsten carbide .composition: W 1.0 C 1.0 .density (g/cm^3) Var.value = 15.63, .min = 0.0, .max = 15.63, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 9.612007095067168e+28 .average_mole_mass (g/mole) = 97.9255 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Tungsten carbide

nexus.lib.material.WO = Material .id: WO tungsten oxide .composition: W 1.0 O 1.0 .density (g/cm^3) Var.value = 7.16, .min = 0.0, .max = 7.16, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 4.315326622090783e+28 .average_mole_mass (g/mole) = 99.9195 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Tungsten oxide

nexus.lib.material.Y = Material .id: Y .composition: Y 1.0 .density (g/cm^3) Var.value = 4.472, .min = 0.0, .max = 4.472, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 3.029161355285547e+28 .average_mole_mass (g/mole) = 88.90584 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Yttrium

nexus.lib.material.Zn = Material .id: Zn .composition: Zn 1.0 .density (g/cm^3) Var.value = 7.14, .min = 0.0, .max = 7.14, .fit: False, .id: .isotope: 67-Zn .abundance Var.value = 0.0404, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 5.15e-12, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 6.5703606092643765e+28 .average_mole_mass (g/mole) = 65.4425039712 .isotope_number_density (1/m^3) = 2.654425686142808e+27 number of hyperfine sites 0 : Zinc

nexus.lib.material.Zr = Material .id: Zr .composition: Zr 1.0 .density (g/cm^3) Var.value = 6.52, .min = 0.0, .max = 6.52, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 4.304169709199333e+28 .average_mole_mass (g/mole) = 91.224 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Zirconium

nexus.lib.material.air = Material .id: Air .composition: N 1.562 O 0.42 C 0.0003 Ar 0.0094 .density (g/cm^3) Var.value = 0.0012041, .min = 0.0, .max = 0.0012041, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 4.983956693686564e+25 .average_mole_mass (g/mole) = 14.549202841793443 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Air

nexus.lib.material.vacuum = Material .id: vacuum .composition: N 1.0 .density (g/cm^3) Var.value = 1e-299, .min = 0.0, .max = 2e-299, .fit: False, .id: .isotope: none .abundance Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: .lamb_moessbauer Var.value = 0.0, .min = 0.0, .max = 1.0, .fit: False, .id: derived parameters: .total_number_density (1/m^3) = 4.299379424573428e-271 .average_mole_mass (g/mole) = 14.007 .isotope_number_density (1/m^3) = 0.0 number of hyperfine sites 0 : Vacuum

`moessbauer`

Predefined Moessbauer isotopes. Instances of nexus.MoessbauerIsotope class.

nexus.lib.moessbauer.Dy161 = MoessbauerIsotope: 161-Dy .element = Dy .mass (u) = 160.9269334 .spin_ground = 2.5 .spin_excited = 2.5 .energy (eV) = 25655.0 .wavelength (m) = 4.832750e-11 .kvector (1/m) = 1.300126e+11 .lifetime (s) = 4.068400e-08 .half_lifetime (s) = 2.820000e-08 .gamma (eV) = 1.617864e-08 .gamma_photon (eV) = 4.829446e-09 .gamma_electron (eV) = 1.134920e-08 .quality_factor = 1.585732e+12 .internal_conversion = 2.35 .interference_term (beta) = 0.0 .multipolarity = E1 (L = 1, lambda = 1) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = -0.192 .gfactor_excited = 0.237 .quadrupole_ground (barn) = 2.507 .quadrupole_excited (barn) = 2.506 .magnetic_moment_ground (eV/T) = -1.5131766024e-08 .magnetic_moment_excited (eV/T) = 1.8678273685875e-08 .nuclear_cross_section (converted to kbarn) = 1109.5936528640366 : Dy-161

nexus.lib.moessbauer.Eu151 = MoessbauerIsotope: 151-Eu .element = Eu .mass (u) = 150.91985026 .spin_ground = 2.5 .spin_excited = 3.5 .energy (eV) = 21541.418 .wavelength (m) = 5.755619e-11 .kvector (1/m) = 1.091661e+11 .lifetime (s) = 1.385000e-08 .half_lifetime (s) = 9.600088e-09 .gamma (eV) = 4.752433e-08 .gamma_photon (eV) = 1.605552e-09 .gamma_electron (eV) = 4.591878e-08 .quality_factor = 4.532714e+11 .internal_conversion = 28.6 .interference_term (beta) = 0.0 .multipolarity = M1 (L = 1, lambda = 0) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = 1.388 .gfactor_excited = 0.7402 .quadrupole_ground (barn) = 0.903 .quadrupole_excited (barn) = 1.28 .magnetic_moment_ground (eV/T) = 1.093900585485e-07 .magnetic_moment_excited (eV/T) = 8.1670554663285e-08 .nuclear_cross_section (converted to kbarn) = 237.49324319908274 : Eu-151

nexus.lib.moessbauer.Fe57 = MoessbauerIsotope: 57-Fe .element = Fe .mass (u) = 56.9353933 .spin_ground = 0.5 .spin_excited = 1.5 .energy (eV) = 14412.497 .wavelength (m) = 8.602548e-11 .kvector (1/m) = 7.303865e+10 .lifetime (s) = 1.411100e-07 .half_lifetime (s) = 9.781000e-08 .gamma (eV) = 4.664531e-09 .gamma_photon (eV) = 4.879216e-10 .gamma_electron (eV) = 4.176609e-09 .quality_factor = 3.089806e+12 .internal_conversion = 8.56 .interference_term (beta) = 0.0 .multipolarity = M1 (L = 1, lambda = 0) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = 0.18121 .gfactor_excited = -0.10348 .quadrupole_ground (barn) = 0.0 .quadrupole_excited (barn) = 0.187 .magnetic_moment_ground (eV/T) = 2.85627845959275e-09 .magnetic_moment_excited (eV/T) = -4.8932348380110005e-09 .nuclear_cross_section (converted to kbarn) = 2464.032617084363 : Fe-57

Changed in version 1.1.2: internal conversion changed from 8.21 to 8.56

nexus.lib.moessbauer.Gd157 = MoessbauerIsotope: 157-Gd .element = Gd .mass (u) = 156.92396011 .spin_ground = 1.5 .spin_excited = 2.5 .energy (eV) = 63917.0 .wavelength (m) = 1.939769e-11 .kvector (1/m) = 3.239141e+11 .lifetime (s) = 6.636400e-07 .half_lifetime (s) = 4.600002e-07 .gamma (eV) = 9.918208e-10 .gamma_photon (eV) = 5.032069e-10 .gamma_electron (eV) = 4.886139e-10 .quality_factor = 6.444410e+13 .internal_conversion = 0.971 .interference_term (beta) = 0.0 .multipolarity = E1 (L = 1, lambda = 1) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = -0.3398 .gfactor_excited = -0.464 .quadrupole_ground (barn) = 1.38 .quadrupole_excited (barn) = 2.46 .magnetic_moment_ground (eV/T) = -1.6068044046735003e-08 .magnetic_moment_excited (eV/T) = -3.656843455800001e-08 .nuclear_cross_section (converted to kbarn) = 455.74790191733223 : Gd-157 63.9 keV

nexus.lib.moessbauer.Ge73 = MoessbauerIsotope: 73-Ge .element = Ge .mass (u) = 72.9234589 .spin_ground = 4.5 .spin_excited = 2.5 .energy (eV) = 13275.0 .wavelength (m) = 9.339676e-11 .kvector (1/m) = 6.727413e+10 .lifetime (s) = 4.260000e-06 .half_lifetime (s) = 2.952807e-06 .gamma (eV) = 1.545098e-10 .gamma_photon (eV) = 1.409761e-13 .gamma_electron (eV) = 1.543689e-10 .quality_factor = 8.591685e+13 .internal_conversion = 1095.0 .interference_term (beta) = 0.0 .multipolarity = E2 (L = 2, lambda = 1) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = -0.19544444444444445 .gfactor_excited = -0.03764 .quadrupole_ground (barn) = -0.173 .quadrupole_excited (barn) = -0.4 .magnetic_moment_ground (eV/T) = -2.7725808787725002e-08 .magnetic_moment_excited (eV/T) = -2.966456630955e-09 .nuclear_cross_section (converted to kbarn) = 7.600189930819303 : Ge-73 13.2 keV

nexus.lib.moessbauer.I127 = MoessbauerIsotope: 127-I .element = I .mass (u) = 126.904472681 .spin_ground = 2.5 .spin_excited = 3.5 .energy (eV) = 57606.0 .wavelength (m) = 2.152279e-11 .kvector (1/m) = 2.919317e+11 .lifetime (s) = 2.760000e-09 .half_lifetime (s) = 1.913086e-09 .gamma (eV) = 2.384826e-07 .gamma_photon (eV) = 4.999635e-08 .gamma_electron (eV) = 1.884862e-07 .quality_factor = 2.415522e+11 .internal_conversion = 3.77 .interference_term (beta) = 0.0 .multipolarity = M1E2 (L = 1, lambda = 0 / L = 2, lambda = 1) .mixing_ratio_E2M1 = -0.083 .mixing_coefficient_1 (M1) = 0.996573195313575 .mixing_coefficient_2 (E2) = -0.08271557521102674 .gfactor_ground = 1.125 .gfactor_excited = 0.726 .quadrupole_ground (barn) = -0.79 .quadrupole_excited (barn) = -0.71 .magnetic_moment_ground (eV/T) = 8.866269154687501e-08 .magnetic_moment_excited (eV/T) = 8.010378638955e-08 .nuclear_cross_section (converted to kbarn) = 206.0808923604208 : I-127

New in version 1.0.4.

nexus.lib.moessbauer.Ir193 = MoessbauerIsotope: 193-Ir .element = Ir .mass (u) = 192.9629273 .spin_ground = 1.5 .spin_excited = 0.5 .energy (eV) = 73041.0 .wavelength (m) = 1.697460e-11 .kvector (1/m) = 3.701521e+11 .lifetime (s) = 8.598000e-09 .half_lifetime (s) = 5.959679e-09 .gamma (eV) = 7.655408e-08 .gamma_photon (eV) = 1.057377e-08 .gamma_electron (eV) = 6.598031e-08 .quality_factor = 9.541099e+11 .internal_conversion = 6.24 .interference_term (beta) = 0.0 .multipolarity = M1E2 (L = 1, lambda = 0 / L = 2, lambda = 1) .mixing_ratio_E2M1 = 0.557 .mixing_coefficient_1 (M1) = 0.8736210332635719 .mixing_coefficient_2 (E2) = 0.4866069155278096 .gfactor_ground = 0.10607 .gfactor_excited = 1.009 .quadrupole_ground (barn) = 0.78 .quadrupole_excited (barn) = 0.0 .magnetic_moment_ground (eV/T) = 5.01570756926775e-09 .magnetic_moment_excited (eV/T) = 1.5904116581474998e-08 .nuclear_cross_section (converted to kbarn) = 31.670201461645334 : Ir-193

nexus.lib.moessbauer.K40 = MoessbauerIsotope: 40-K .element = K .mass (u) = 39.96399848 .spin_ground = 4.0 .spin_excited = 3.0 .energy (eV) = 29834.0 .wavelength (m) = 4.155802e-11 .kvector (1/m) = 1.511907e+11 .lifetime (s) = 5.960000e-09 .half_lifetime (s) = 4.131157e-09 .gamma (eV) = 1.104382e-07 .gamma_photon (eV) = 1.453135e-08 .gamma_electron (eV) = 9.590690e-08 .quality_factor = 2.701419e+11 .internal_conversion = 6.6 .interference_term (beta) = 0.0 .multipolarity = M1 (L = 1, lambda = 0) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = -0.3245 .gfactor_excited = -0.4 .quadrupole_ground (barn) = -0.061 .quadrupole_excited (barn) = 0.0 .magnetic_moment_ground (eV/T) = -4.0918817289900006e-08 .magnetic_moment_excited (eV/T) = -3.7829415060000006e-08 .nuclear_cross_section (converted to kbarn) = 281.3013240469893 : K-40

nexus.lib.moessbauer.Kr83 = MoessbauerIsotope: 83-Kr .element = Kr .mass (u) = 82.914136 .spin_ground = 4.5 .spin_excited = 3.5 .energy (eV) = 9396.0 .wavelength (m) = 1.319542e-10 .kvector (1/m) = 4.761640e+10 .lifetime (s) = 2.120800e-07 .half_lifetime (s) = 1.470027e-07 .gamma (eV) = 3.103602e-09 .gamma_photon (eV) = 1.642118e-10 .gamma_electron (eV) = 2.939390e-09 .quality_factor = 3.027450e+12 .internal_conversion = 17.9 .interference_term (beta) = 0.0 .multipolarity = M1 (L = 1, lambda = 0) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = -0.2157 .gfactor_excited = -0.2694 .quadrupole_ground (barn) = 0.253 .quadrupole_excited (barn) = 0.495 .magnetic_moment_ground (eV/T) = -3.05992681066575e-08 .magnetic_moment_excited (eV/T) = -2.9724462883395003e-08 .nuclear_cross_section (converted to kbarn) = 1172.9917981553613 : Kr-83

New in version 1.0.4.

nexus.lib.moessbauer.Ni61 = MoessbauerIsotope: 61-Ni .element = Ni .mass (u) = 60.931056 .spin_ground = 1.5 .spin_excited = 2.5 .energy (eV) = 67408.0 .wavelength (m) = 1.839310e-11 .kvector (1/m) = 3.416056e+11 .lifetime (s) = 7.600000e-09 .half_lifetime (s) = 5.267919e-09 .gamma (eV) = 8.660684e-08 .gamma_photon (eV) = 7.603761e-08 .gamma_electron (eV) = 1.056923e-08 .quality_factor = 7.783219e+11 .internal_conversion = 0.139 .interference_term (beta) = 0.0 .multipolarity = M1 (L = 1, lambda = 0) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = 0.5 .gfactor_excited = 0.192 .quadrupole_ground (barn) = 0.162 .quadrupole_excited (barn) = -0.2 .magnetic_moment_ground (eV/T) = 2.36433844125e-08 .magnetic_moment_excited (eV/T) = 1.5131766024e-08 .nuclear_cross_section (converted to kbarn) = 709.0836315139229 : Ni-61

New in version 1.0.4.

nexus.lib.moessbauer.Ru99 = MoessbauerIsotope: 99-Ru .element = Ru .mass (u) = 98.9059393 .spin_ground = 2.5 .spin_excited = 1.5 .energy (eV) = 89680.0 .wavelength (m) = 1.382518e-11 .kvector (1/m) = 4.544741e+11 .lifetime (s) = 2.958000e-08 .half_lifetime (s) = 2.050329e-08 .gamma (eV) = 2.225193e-08 .gamma_photon (eV) = 8.907897e-09 .gamma_electron (eV) = 1.334403e-08 .quality_factor = 4.030213e+12 .internal_conversion = 1.498 .interference_term (beta) = 0.0 .multipolarity = M1E2 (L = 1, lambda = 0 / L = 2, lambda = 1) .mixing_ratio_E2M1 = -1.65 .mixing_coefficient_1 (M1) = 0.5183017160933442 .mixing_coefficient_2 (E2) = -0.8551978315540179 .gfactor_ground = -0.2564 .gfactor_excited = -0.18933333333333333 .quadrupole_ground (barn) = 0.079 .quadrupole_excited (barn) = 0.231 .magnetic_moment_ground (eV/T) = -2.0207212544550002e-08 .magnetic_moment_excited (eV/T) = -8.9529615642e-09 .nuclear_cross_section (converted to kbarn) = 81.18539659203296 : Ru-99

New in version 1.1.2.

nexus.lib.moessbauer.Sb121 = MoessbauerIsotope: 121-Sb .element = Sb .mass (u) = 120.9038157 .spin_ground = 2.5 .spin_excited = 3.5 .energy (eV) = 37133.0 .wavelength (m) = 3.338922e-11 .kvector (1/m) = 1.881800e+11 .lifetime (s) = 4.990000e-09 .half_lifetime (s) = 3.458804e-09 .gamma (eV) = 1.319062e-07 .gamma_photon (eV) = 1.089234e-08 .gamma_electron (eV) = 1.210139e-07 .quality_factor = 2.815106e+11 .internal_conversion = 11.11 .interference_term (beta) = 0.0 .multipolarity = M1 (L = 1, lambda = 0) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = 1.34536 .gfactor_excited = 0.71942857142 .quadrupole_ground (barn) = -0.36 .quadrupole_excited (barn) = -0.48 .magnetic_moment_ground (eV/T) = 1.0602954551067e-07 .magnetic_moment_excited (eV/T) = 7.937872259995428e-08 .nuclear_cross_section (converted to kbarn) = 195.3562576578406 : Sb-121

New in version 1.0.3.

nexus.lib.moessbauer.Sc45 = MoessbauerIsotope: 45-Sc .element = Sc .mass (u) = 44.95591276 .spin_ground = 3.5 .spin_excited = 1.5 .energy (eV) = 12389.59 .wavelength (m) = 1.000713e-10 .kvector (1/m) = 6.278711e+10 .lifetime (s) = 4.600000e-01 .half_lifetime (s) = 3.188477e-01 .gamma (eV) = 1.430896e-15 .gamma_photon (eV) = 2.260499e-18 .gamma_electron (eV) = 1.428635e-15 .quality_factor = 8.658626e+18 .internal_conversion = 632.0 .interference_term (beta) = 0.0 .multipolarity = M2 (L = 2, lambda = 0) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = 1.359 .gfactor_excited = 0.245333 .quadrupole_ground (barn) = -0.22 .quadrupole_excited (barn) = 0.318 .magnetic_moment_ground (eV/T) = 1.49946343944075e-07 .magnetic_moment_excited (eV/T) = 1.1601004856143727e-08 .nuclear_cross_section (converted to kbarn) = 12.589405827271353 : Sc-45

New in version 1.0.3.

nexus.lib.moessbauer.Sm149 = MoessbauerIsotope: 149-Sm .element = Sm .mass (u) = 148.9171847 .spin_ground = 3.5 .spin_excited = 2.5 .energy (eV) = 22494.0 .wavelength (m) = 5.511879e-11 .kvector (1/m) = 1.139935e+11 .lifetime (s) = 1.027000e-08 .half_lifetime (s) = 7.118622e-09 .gamma (eV) = 6.409075e-08 .gamma_photon (eV) = 2.108248e-09 .gamma_electron (eV) = 6.198250e-08 .quality_factor = 3.509711e+11 .internal_conversion = 29.4 .interference_term (beta) = 0.0 .multipolarity = M1E2 (L = 1, lambda = 0 / L = 2, lambda = 1) .mixing_ratio_E2M1 = 0.075 .mixing_coefficient_1 (M1) = 0.9971993098884564 .mixing_coefficient_2 (E2) = 0.07478994824163422 .gfactor_ground = -0.192 .gfactor_excited = -0.2496 .quadrupole_ground (barn) = 0.075 .quadrupole_excited (barn) = 1.01 .magnetic_moment_ground (eV/T) = -2.1184472433600002e-08 .magnetic_moment_excited (eV/T) = -1.96712958312e-08 .nuclear_cross_section (converted to kbarn) = 119.29084282091806 : Sm-149 please check mixing_ratio_E2M1

nexus.lib.moessbauer.Sn119 = MoessbauerIsotope: 119-Sn .element = Sn .mass (u) = 118.9033115 .spin_ground = 0.5 .spin_excited = 1.5 .energy (eV) = 23879.5 .wavelength (m) = 5.192077e-11 .kvector (1/m) = 1.210149e+11 .lifetime (s) = 2.530000e-08 .half_lifetime (s) = 1.753662e-08 .gamma (eV) = 2.601628e-08 .gamma_photon (eV) = 4.182682e-09 .gamma_electron (eV) = 2.183360e-08 .quality_factor = 9.178675e+11 .internal_conversion = 5.22 .interference_term (beta) = 0.0 .multipolarity = M1 (L = 1, lambda = 0) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = -2.09456 .gfactor_excited = 0.422 .quadrupole_ground (barn) = 0.0 .quadrupole_excited (barn) = -0.094 .magnetic_moment_ground (eV/T) = -3.3014991503364e-08 .magnetic_moment_excited (eV/T) = 1.9955016444150002e-08 .nuclear_cross_section (converted to kbarn) = 1379.5643455126014 : Sn-119

nexus.lib.moessbauer.Ta181 = MoessbauerIsotope: 181-Ta .element = Ta .mass (u) = 180.94799645 .spin_ground = 3.5 .spin_excited = 4.5 .energy (eV) = 6215.7 .wavelength (m) = 1.994694e-10 .kvector (1/m) = 3.149949e+10 .lifetime (s) = 8.728300e-06 .half_lifetime (s) = 6.049997e-06 .gamma (eV) = 7.541124e-11 .gamma_photon (eV) = 1.604495e-12 .gamma_electron (eV) = 7.380675e-11 .quality_factor = 8.242405e+13 .internal_conversion = 46.0 .interference_term (beta) = -0.08 .multipolarity = E1 (L = 1, lambda = 1) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = 0.6772857 .gfactor_excited = 1.173 .quadrupole_ground (barn) = 3.17 .quadrupole_excited (barn) = 3.71 .magnetic_moment_ground (eV/T) = 7.472885542354937e-08 .magnetic_moment_excited (eV/T) = 1.6640213949517502e-07 .nuclear_cross_section (converted to kbarn) = 1684.165915018059 : Ta-181

nexus.lib.moessbauer.Te125 = MoessbauerIsotope: 125-Te .element = Te .mass (u) = 124.9044307 .spin_ground = 0.5 .spin_excited = 1.5 .energy (eV) = 35491.9 .wavelength (m) = 3.493310e-11 .kvector (1/m) = 1.798634e+11 .lifetime (s) = 2.140000e-09 .half_lifetime (s) = 1.483335e-09 .gamma (eV) = 3.075757e-07 .gamma_photon (eV) = 2.050505e-08 .gamma_electron (eV) = 2.870706e-07 .quality_factor = 1.153924e+11 .internal_conversion = 14.0 .interference_term (beta) = 0.0 .multipolarity = M1E2 (L = 1, lambda = 0 / L = 2, lambda = 1) .mixing_ratio_E2M1 = 0.06016 .mixing_coefficient_1 (M1) = 0.9981952844796517 .mixing_coefficient_2 (E2) = 0.06005142831429584 .gfactor_ground = -1.777 .gfactor_excited = 0.4033333333333 .quadrupole_ground (barn) = 0.0 .quadrupole_excited (barn) = -0.31 .magnetic_moment_ground (eV/T) = -2.8009529400675e-08 .magnetic_moment_excited (eV/T) = 1.9072330092748427e-08 .nuclear_cross_section (converted to kbarn) = 258.96021503566857 

Te-125

New in version 1.0.3.

Please check the sign of the mixing ratio

nexus.lib.moessbauer.Tm169 = MoessbauerIsotope: 169-Tm .element = Tm .mass (u) = 168.93421429 .spin_ground = 0.5 .spin_excited = 1.5 .energy (eV) = 8410.0 .wavelength (m) = 1.474247e-10 .kvector (1/m) = 4.261962e+10 .lifetime (s) = 5.785000e-09 .half_lifetime (s) = 4.009856e-09 .gamma (eV) = 1.137791e-07 .gamma_photon (eV) = 3.818090e-10 .gamma_electron (eV) = 1.133973e-07 .quality_factor = 7.391517e+10 .internal_conversion = 297.0 .interference_term (beta) = 0.0 .multipolarity = M1 (L = 1, lambda = 0) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = -0.464 .gfactor_excited = 0.347 .quadrupole_ground (barn) = 0.0 .quadrupole_excited (barn) = -1.3 .magnetic_moment_ground (eV/T) = -7.313686911600001e-09 .magnetic_moment_excited (eV/T) = 1.6408508782275002e-08 .nuclear_cross_section (converted to kbarn) = 232.1531328914595 : Tm-169

nexus.lib.moessbauer.Yb174 = MoessbauerIsotope: 174-Yb .element = Yb .mass (u) = 173.9388621 .spin_ground = 0.0 .spin_excited = 2.0 .energy (eV) = 76471.0 .wavelength (m) = 1.621323e-11 .kvector (1/m) = 3.875344e+11 .lifetime (s) = 2.580000e-09 .half_lifetime (s) = 1.788320e-09 .gamma (eV) = 2.551209e-07 .gamma_photon (eV) = 2.446030e-08 .gamma_electron (eV) = 2.306606e-07 .quality_factor = 2.997441e+11 .internal_conversion = 9.43 .interference_term (beta) = 0.0 .multipolarity = E2 (L = 2, lambda = 1) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = 0.0 .gfactor_excited = 0.338 .quadrupole_ground (barn) = 0.0 .quadrupole_excited (barn) = 2.12 .magnetic_moment_ground (eV/T) = 0.0 .magnetic_moment_excited (eV/T) = 2.1310570483800004e-08 .nuclear_cross_section (converted to kbarn) = 200.5602978298222 : Yb-174

New in version 1.1.2.

nexus.lib.moessbauer.Zn67 = MoessbauerIsotope: 67-Zn .element = Zn .mass (u) = 66.927128 .spin_ground = 2.5 .spin_excited = 0.5 .energy (eV) = 93312.0 .wavelength (m) = 1.328706e-11 .kvector (1/m) = 4.728801e+11 .lifetime (s) = 1.309000e-05 .half_lifetime (s) = 9.073297e-06 .gamma (eV) = 5.028357e-11 .gamma_photon (eV) = 2.684654e-11 .gamma_electron (eV) = 2.343703e-11 .quality_factor = 1.855715e+15 .internal_conversion = 0.873 .interference_term (beta) = 0.0 .multipolarity = E2 (L = 2, lambda = 1) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = 0.35024 .gfactor_excited = 1.174 .quadrupole_ground (barn) = 0.15 .quadrupole_excited (barn) = 0.0 .magnetic_moment_ground (eV/T) = 2.760286318878e-08 .magnetic_moment_excited (eV/T) = 1.850488886685e-08 .nuclear_cross_section (converted to kbarn) = 50.00561591319957 : Zn-67

New in version 1.1.2.

nexus.lib.moessbauer.none = MoessbauerIsotope: none .element = none .mass (u) = 0.0 .spin_ground = 0.0 .spin_excited = 0.0 .energy (eV) = 0.0 .wavelength (m) = inf .kvector (1/m) = 0.000000e+00 .lifetime (s) = 0.000000e+00 .half_lifetime (s) = 0.000000e+00 .gamma (eV) = inf .gamma_photon (eV) = inf .gamma_electron (eV) = nan .quality_factor = 0.000000e+00 .internal_conversion = 0.0 .interference_term (beta) = 0.0 .multipolarity = E1 (L = 1, lambda = 1) .mixing_ratio_E2M1 = 0.0 .gfactor_ground = 0.0 .gfactor_excited = 0.0 .quadrupole_ground (barn) = 0.0 .quadrupole_excited (barn) = 0.0 .magnetic_moment_ground (eV/T) = 0.0 .magnetic_moment_excited (eV/T) = 0.0 .nuclear_cross_section (converted to kbarn) = inf : none

`energy`

Common X-ray energies of nuclear transitions and K-alpha transition lines.

nexus.lib.energy.CoKalpha = 6925.7: Co K alpha transition energy (eV)

nexus.lib.energy.CuKalpha = 8047.8: Cu K alpha transition energy (eV)

nexus.lib.energy.Dy161 = 25655.0: Dy-161 transition energy (eV)

nexus.lib.energy.Eu151 = 21541.418: Eu-151 transition energy (eV)

nexus.lib.energy.Fe57 = 14412.497: Fe-57 transition energy (eV)

nexus.lib.energy.FeKalpha = 6399.8: Fe K alpha transition energy (eV)

nexus.lib.energy.Gd157 = 63917.0: Gd-157 transition energy (eV)

nexus.lib.energy.Ge73 = 13275.0: Ge-73 transition energy (eV)

nexus.lib.energy.Ir193 = 73041.0: Ir-193 transition energy (eV)

nexus.lib.energy.K40 = 29834.0: K-40 transition energy (eV)

nexus.lib.energy.MoKalpha = 17450.0: Mo K alpha transition energy (eV)

nexus.lib.energy.Sb121 = 37133.0: Sb-121 transition energy (eV)

New in version 1.0.3.

nexus.lib.energy.Sc45 = 12389.59: Sc-45 transition energy (eV)

New in version 1.0.3.

nexus.lib.energy.Sm149 = 22494.0: Sm-149 transition energy (eV)

nexus.lib.energy.Sn119 = 23879.5: Sn-119 transition energy (eV)

nexus.lib.energy.Ta181 = 6215.7: Ta-181 transition energy (eV)

nexus.lib.energy.Te125 = 35491.9: Te-125 transition energy (eV)

New in version 1.0.3.

nexus.lib.energy.Tm169 = 8410.0: Tm-169 transition energy (eV)

`residual`

Predefined residuals derived from the parent class Residual.

class nexus.lib.residual.Difference(id='Difference', plot_string='$x - x_t$')

Difference residual

\[residual = data - theory\]

ResidualFunction(input_data, input_theory)

Call of the residual function implementation from python.

Returns:: List of residual values of measured and theoretical intensities.
Return type:: list or ndarray

class nexus.lib.residual.Ln(id='Ln', plot_string='$\\ln(x) - \\ln(x_t)$')

Difference of the natural logarithm values

\[residual = \ln(data) - \ln(theory)\]

ResidualFunction(input_data, input_theory)

Call of the residual function implementation from python.

Returns:: List of residual values of measured and theoretical intensities.
Return type:: list or ndarray

class nexus.lib.residual.Log10(id='Log10', plot_string='$\\log_{10}(x) - \\log_{10}(x_t)$')

Difference of the logarithm of base 10 values

\[residual = \log_{10}(data) - \log_{10}(theory)\]

ResidualFunction(input_data, input_theory)

Call of the residual function implementation from python.

Returns:: List of residual values of measured and theoretical intensities.
Return type:: list or ndarray

class nexus.lib.residual.Norm(id='Norm', plot_string='\\dfrac{x - x_t}{\\sum x}')

Normalized difference residual

\[residual = \frac{data - theory}{\sum data}\]

ResidualFunction(input_data, input_theory)

Call of the residual function implementation from python.

Returns:: List of residual values of measured and theoretical intensities.
Return type:: list or ndarray

class nexus.lib.residual.Sqrt(id='Sqrt', plot_string='$\\sqrt{x} - \\sqrt{x_t}$')

Difference of the square root values

\[residual = \sqrt{data} - \sqrt{theory}\]

This an approximation of the Poisson likelihood function [Thibault]

\[\mathcal{L}_p \approx 2 \sum_i \left( \sqrt{data_i} - \sqrt{theory_i}) \right)^2\]

and the $cost$ is

\[cost = \frac{1}{2} \sum_i \left( \sqrt{data_i} - \sqrt{theory_i}) \right)^2\]

Both only differ by a scaling factor that does not affect fitting.

It is the standard residual for most FitMeasurement types (if the residual parameter is set to None).

ResidualFunction(input_data, input_theory)

Call of the residual function implementation from python.

Returns:: List of residual values of measured and theoretical intensities.
Return type:: list or ndarray

class nexus.lib.residual.SqrtStdDev(id='SqrtStdDev', plot_string='$\\dfrac{\\sqrt{x} - \\sqrt{x_t}}{\\sqrt{x}}$')

Difference of the square root values weighted by the standard deviation

\[residual = \frac{\sqrt{data} - \sqrt{theory}}{\sqrt{data}}\]

This gives the amplitude log-likelihood [Odstrcil]

\[cost = \mathcal{L}_a = \frac{1}{2} \sum_i \left(\frac{\sqrt{data_i} - \sqrt{theory_i}) }{\sqrt{data_i}}\right)^2\]

New in version 1.1.2.

ResidualFunction(input_data, input_theory)

Call of the residual function implementation from python.

Returns:: List of residual values of measured and theoretical intensities.
Return type:: list or ndarray

class nexus.lib.residual.StdDev(id='StdDev', plot_string='$\\dfrac{x - x_t}{\\sqrt{x}}$')

Difference residual weighted by the standard deviation

\[residual = \frac{data - theory}{\sqrt{data}}\]

For histograms the variance is the measured data value $V = data$ and the standard deviation is given by $\sigma = \sqrt(V) = \sqrt(data)$. The best linear unbiased estimator for Gaussian noise is obtained by using the variance as a weight in the squared residual. This will result in the cost function

\[cost = \frac{1}{2} \sum_i \frac{r_i^2}{V_i} = \frac{1}{2} \sum_i \left(\frac{data_i- theory_i}{\sqrt(data_i)}\right)^2\]

This is a very typical cost function for data fitting. However, for Poisson statistics and low count rates a Poisson likelihood function is the better choice.

Libraries

distribution

material

moessbauer

energy

residual

`distribution`

`material`

`moessbauer`

`energy`

`residual`