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compute mu #278
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,23 @@ | ||
| **Added:** | ||
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| * function to compute x-ray attenuation coefficient (mu) using XrayDB | ||
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| **Changed:** | ||
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| * <news item> | ||
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| **Deprecated:** | ||
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| * <news item> | ||
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| **Removed:** | ||
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| * <news item> | ||
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| **Fixed:** | ||
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| * <news item> | ||
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| **Security:** | ||
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| * <news item> |
| Original file line number | Diff line number | Diff line change |
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| @@ -1 +1,2 @@ | ||
| numpy | ||
| xraydb |
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| @@ -1 +1,2 @@ | ||
| numpy | ||
| xraydb |
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@@ -3,6 +3,8 @@ | |
| from copy import copy | ||
| from pathlib import Path | ||
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| from xraydb import material_mu | ||
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| def _stringify(obj): | ||
| """ | ||
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@@ -131,3 +133,32 @@ def get_package_info(package_names, metadata=None): | |
| pkg_info.update({package: importlib.metadata.version(package)}) | ||
| metadata["package_info"] = pkg_info | ||
| return metadata | ||
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| def compute_mu_using_xraydb(sample_composition, energy, density=None, packing_fraction=1): | ||
| """Compute the attenuation coefficient (mu) using the XrayDB database. | ||
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| Computes mu based on the sample composition and energy. | ||
| If density is not provided, a standard reference density (e.g., 0.987 g/cm^3 for H2O) is used. | ||
| User can provide either a measured density or an estimated packing fraction (with a standard density). | ||
| It is recommended to specify the density, especially for materials like ZrO2, where it can vary. | ||
| Reference: https://xraypy.github.io/XrayDB/python.html#xraydb.material_mu. | ||
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| Parameters | ||
| ---------- | ||
| sample_composition : str | ||
| The chemical formula or the name of the material. | ||
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| energy : float | ||
| The energy in eV. | ||
| density : float, optional, Default is None | ||
| The mass density of the packed powder/sample in gr/cm^3. If None, a standard density from XrayDB is used. | ||
| packing_fraction : float, optional, Default is 1 | ||
| The fraction of sample in the capillary (between 0 and 1). | ||
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| Returns | ||
| ------- | ||
| mu : float | ||
| The attenuation coefficient mu in mm^{-1}. | ||
| """ | ||
| mu = material_mu(sample_composition, energy, density=density, kind="total") * packing_fraction / 10 | ||
| return mu | ||
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@@ -5,7 +5,7 @@ | |
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| import pytest | ||
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| from diffpy.utils.tools import get_package_info, get_user_info | ||
| from diffpy.utils.tools import compute_mu_using_xraydb, get_package_info, get_user_info | ||
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| # def _setup_dirs(monkeypatch, user_filesystem): | ||
| # home_dir, cwd_dir = user_filesystem.home_dir, user_filesystem.cwd_dir | ||
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@@ -189,3 +189,65 @@ def test_get_package_info(monkeypatch, inputs, expected): | |
| ) | ||
| actual_metadata = get_package_info(inputs[0], metadata=inputs[1]) | ||
| assert actual_metadata == expected | ||
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| @pytest.mark.parametrize( | ||
| "inputs, expected_mu", | ||
| [ | ||
| # Test whether the function returns the correct mu | ||
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| ( # C1: No density or packing fraction provided, expect to compute mu based on standard density | ||
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| { | ||
| "sample_composition": "H2O", | ||
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| "energy": 10000, | ||
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| "density": None, | ||
| "packing_fraction": 1, | ||
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| }, | ||
| 0.5330, | ||
| ), | ||
| ( # C2: Packing fraction (=0.5) provided only, expect to return half of mu based on standard density | ||
| { | ||
| "sample_composition": "H2O", | ||
| "energy": 10000, | ||
| "density": None, | ||
| "packing_fraction": 0.5, | ||
| }, | ||
| 0.2665, | ||
| ), | ||
| ( # C3: Density provided only, expect to compute mu based on density | ||
| # 1. Standard density provided, expect to return the same mu as C1 | ||
| { | ||
| "sample_composition": "H2O", | ||
| "energy": 10000, | ||
| "density": 0.997, | ||
| "packing_fraction": 1, | ||
| }, | ||
| 0.5330, | ||
| ), | ||
| ( # 2. Lower density for H2O (half of standard), expect to return half of mu based on standard density | ||
| { | ||
| "sample_composition": "H2O", | ||
| "energy": 10000, | ||
| "density": 0.4985, | ||
| "packing_fraction": 1, | ||
| }, | ||
| 0.2665, | ||
| ), | ||
| ( # C4: Both standard density and packing fraction are provided, expect to compute the same mu as C2 | ||
| { | ||
| "sample_composition": "H2O", | ||
| "energy": 10000, | ||
| "density": 0.997, | ||
| "packing_fraction": 0.5, | ||
| }, | ||
| 0.2665, | ||
| ), | ||
| ], | ||
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| ) | ||
| def test_compute_mu_using_xraydb(inputs, expected_mu): | ||
| actual_mu = compute_mu_using_xraydb( | ||
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| inputs["sample_composition"], | ||
| inputs["energy"], | ||
| density=inputs["density"], | ||
| packing_fraction=inputs["packing_fraction"], | ||
| ) | ||
| assert actual_mu == pytest.approx(expected_mu, rel=0.01, abs=0.1) | ||
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added packing fraction. does this make sense or should we use None instead? I think if we set the default to 1 the code can be more concise
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I think setting to None is clearer here. The logic from the perspective of the user is that we either have a packing fraction or we don't. If it is None, you can set it to 1 in the code.
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Also, didn't we discuss to change the name to
sample_mass_density?