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q_to_tth & tth_to_q #178

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Merged
merged 11 commits into from
Nov 28, 2024
23 changes: 14 additions & 9 deletions src/diffpy/utils/scattering_objects/diffraction_objects.py
Original file line number Diff line number Diff line change
Expand Up @@ -763,25 +763,27 @@ def q_to_tth(self):

2\theta_n = 2 \arcsin\left(\frac{\lambda q}{4 \pi}\right)

Function adapted from scikit-beam. Thanks to those developers

Parameters
----------
q : array
An array of :math:`q` values
The array of :math:`q` values

wavelength : float
Wavelength of the incoming x-rays

Function adapted from scikit-beam. Thanks to those developers

Returns
-------
two_theta : array
An array of :math:`2\theta` values in radians
The array of :math:`2\theta` values in radians
"""
q = self.on_q[0]
q = np.asarray(q)
wavelength = float(self.wavelength)
pre_factor = wavelength / (4 * np.pi)
if np.any(np.abs(q * pre_factor) > 1):
raise ValueError("Please check if you entered an incorrect wavelength or q value.")
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I think we would want to raise a value error here because otherwise the code proceeds with tth = nan.

return np.rad2deg(2.0 * np.arcsin(q * pre_factor))

def tth_to_q(self):
Expand All @@ -800,25 +802,28 @@ def tth_to_q(self):

q = \frac{4 \pi \sin\left(\frac{2\theta}{2}\right)}{\lambda}


Function adapted from scikit-beam. Thanks to those developers.

Parameters
----------
two_theta : array
An array of :math:`2\theta` values in units of degrees
The array of :math:`2\theta` values in units of degrees

wavelength : float
Wavelength of the incoming x-rays

Function adapted from scikit-beam. Thanks to those developers.

Returns
-------
q : array
An array of :math:`q` values in the inverse of the units
The array of :math:`q` values in the inverse of the units
of ``wavelength``
"""
two_theta = np.asarray(np.deg2rad(self.on_tth[0]))
if np.any(two_theta > np.pi):
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as above, I think this isn't doing quite what we want.

raise ValueError(
"Two theta exceeds 180 degrees. Please check if invalid values were entered "
"or if degrees were incorrectly specified as radians."
)
wavelength = float(self.wavelength)
pre_factor = (4 * np.pi) / wavelength
return pre_factor * np.sin(two_theta / 2)
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91 changes: 91 additions & 0 deletions tests/diffpy/utils/scattering_objects/test_diffraction_objects.py
Original file line number Diff line number Diff line change
Expand Up @@ -231,6 +231,97 @@ def test_diffraction_objects_equality(inputs1, inputs2, expected):
assert (diffraction_object1 == diffraction_object2) == expected


def test_q_to_tth():
# Valid q values that should result in 0-180 tth values after conversion
# expected tth values are 2*arcsin(q) in degrees
actual = DiffractionObject(wavelength=4 * np.pi)
setattr(actual, "on_q", [[0, 0.2, 0.4, 0.6, 0.8, 1], [1, 2, 3, 4, 5, 6]])
actual_tth = actual.q_to_tth()
expected_tth = [0, 23.07392, 47.15636, 73.73980, 106.26020, 180]
assert np.allclose(actual_tth, expected_tth)


params_q_to_tth_bad = [
# UC1: user did not specify wavelength
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Do we want to not allow missing wavelengths? This makes these DOs harder to use, but also makes them less useful. There may be a middle ground where we allow it, but let the user know that much of the functionality goes away without it. We could also trigger a workflow that requests the wavelength, but still allows users to override that. This would encourage them to enter a wavelength but not insist?

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Yes this sounds good. I think user can also directly set attributes so that they can use DO without a wavelength. I would suggest to prompt user inputs in the insert_scattering_quantity function instead of this one when it wants to set arrays on all tth/q/dspace, so that it can avoid calling these functions?
When people use this function directly we would want them to speicify a wavelength, so it's better if we raise an error?

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For now, how about we just print a warning message if no wavelength is supplied. Something like "INFO: no wavelength has been specified. You can continue to use the DiffractionObject but some of it's powerful features will not be available. To specify a wavelength...."

(
[None, [0, 0.2, 0.4, 0.6, 0.8, 1]],
"Wavelength is not specified. Please provide a valid wavelength, "
"e.g., DiffractionObject(wavelength=0.71).",
),
# UC2: user specified invalid q values that result in tth > 180 degrees
(
[4 * np.pi, [0.2, 0.4, 0.6, 0.8, 1, 1.2]],
"Wavelength * q > 4 * pi. Please check if you entered an incorrect wavelength or q value.",
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I think this behavior is good. The first sentence is a bit mathematical and cryptic. Is there a more "chemist friendly" way of saying it?

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Does "The combination of wavelength and q values is too large" sound good?

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How about: "the supplied q-array and wavelength will result in an impossible two-theta. Please check these values and re-instantiate the DiffractionObject"

),
# UC3: user specified a wrong wavelength that result in tth > 180 degrees
(
[100, [0, 0.2, 0.4, 0.6, 0.8, 1]],
"Wavelength * q > 4 * pi. Please check if you entered an incorrect wavelength or q value.",
),
# UC4: user specified an empty q array
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It is ok to specify no q-array (you can instantiate on tth for example). Presumably this is only an error if the the DO is being created with q data. So the behavior is ok, but we may want to tweak the error message. I think a more general error is if the x and y arrays are not the same length, whether they are q, tth or d. I suggest to handle that more general case?

Finally, do we also want to specify what error is raised as well as the message?

([4 * np.pi, []], "Q array is empty. Please provide valid q values."),
# UC5: user specified a non-numeric value in q array
(
[4 * np.pi, [0, 0.2, 0.4, 0.6, 0.8, "invalid"]],
"Invalid value found in q array. Please ensure all values are numeric.",
),
]


@pytest.mark.parametrize("inputs, expected", params_q_to_tth_bad)
def test_q_to_tth_bad(inputs, expected):
actual = DiffractionObject(wavelength=inputs[0])
setattr(actual, "on_q", [inputs[1], [1, 2, 3, 4, 5, 6]])
with pytest.raises(ValueError):
actual.q_to_tth()


def test_tth_to_q():
# Valid tth values between 0-180 degrees
# expected q vales are sin15, sin30, sin45, sin60, sin90
actual = DiffractionObject(wavelength=4 * np.pi)
setattr(actual, "on_tth", [[0, 30, 60, 90, 120, 180], [1, 2, 3, 4, 5, 6]])
actual_q = actual.tth_to_q()
expected_q = [0, 0.258819, 0.5, 0.707107, 0.866025, 1]
assert np.allclose(actual_q, expected_q)


params_tth_to_q_bad = [
# UC1: user did not specify wavelength
(
[None, [0, 30, 60, 90, 120, 180]],
"Wavelength is not specified. Please provide a valid wavelength, "
"e.g., DiffractionObject(wavelength=0.71).",
),
# UC2: user specified an invalid tth value of > 180 degrees
(
[4 * np.pi, [0, 30, 60, 90, 120, 181]],
"Two theta exceeds 180 degrees. Please check the input values for errors.",
),
# UC3: user did not specify wavelength and specified invalid tth values
(
[None, [0, 30, 60, 90, 120, 181]],
"Wavelength is not specified. Please provide a valid wavelength, "
"e.g., DiffractionObject(wavelength=0.71).",
),
# UC4: user specified an empty two theta array
([4 * np.pi, []], "Two theta array is empty. Please provide valid two theta values."),
# UC5: user specified a non-numeric value in two theta array
(
[4 * np.pi, [0, 30, 60, 90, 120, "invalid"]],
"Invalid value found in two theta array. Please ensure all values are numeric.",
),
]


@pytest.mark.parametrize("inputs, expected", params_tth_to_q_bad)
def test_tth_to_q_bad(inputs, expected):
actual = DiffractionObject(wavelength=inputs[0])
setattr(actual, "on_tth", [inputs[1], [1, 2, 3, 4, 5, 6]])
with pytest.raises(ValueError, match=expected):
actual.tth_to_q()


def test_dump(tmp_path, mocker):
x, y = np.linspace(0, 5, 6), np.linspace(0, 5, 6)
directory = Path(tmp_path)
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