|
3 | 3 | import asyncio |
4 | 4 | import logging |
5 | 5 |
|
| 6 | +import numpy as np |
| 7 | +import numpy.typing as npt |
6 | 8 | from bluesky.protocols import NamedMovable |
7 | 9 | from ophyd_async.core import ( |
8 | 10 | AsyncStatus, |
| 11 | + Device, |
9 | 12 | SignalR, |
10 | 13 | SignalW, |
11 | 14 | StandardReadable, |
12 | 15 | StandardReadableFormat, |
13 | 16 | observe_value, |
| 17 | + soft_signal_r_and_setter, |
14 | 18 | ) |
15 | 19 | from ophyd_async.epics.core import epics_signal_r, epics_signal_rw, epics_signal_w |
16 | 20 |
|
17 | 21 | from ibex_bluesky_core.devices import NoYesChoice |
| 22 | +from ibex_bluesky_core.devices.dae import Dae |
| 23 | +from ibex_bluesky_core.devices.simpledae import Reducer |
| 24 | +from ibex_bluesky_core.fitting import Gaussian |
18 | 25 | from ibex_bluesky_core.utils import get_pv_prefix |
19 | 26 |
|
20 | 27 | logger = logging.getLogger(__name__) |
21 | 28 |
|
22 | | -__all__ = ["ReflParameter", "ReflParameterRedefine", "refl_parameter"] |
| 29 | +__all__ = ["AngleMappingReducer", "ReflParameter", "ReflParameterRedefine", "refl_parameter"] |
23 | 30 |
|
24 | 31 |
|
25 | 32 | class ReflParameter(StandardReadable, NamedMovable[float]): |
@@ -125,3 +132,94 @@ def refl_parameter( |
125 | 132 | return ReflParameter( |
126 | 133 | prefix=prefix, name=name, changing_timeout_s=changing_timeout_s, has_redefine=has_redefine |
127 | 134 | ) |
| 135 | + |
| 136 | + |
| 137 | +class AngleMappingReducer(Reducer, StandardReadable): |
| 138 | + """Reflectometry angle-mapping reducer.""" |
| 139 | + |
| 140 | + def __init__( |
| 141 | + self, |
| 142 | + *, |
| 143 | + detectors: npt.NDArray[np.int32], |
| 144 | + angle_map: npt.NDArray[np.float64], |
| 145 | + ) -> None: |
| 146 | + """Angle-mapping :py:obj:`Reducer` for use by reflectometers. |
| 147 | +
|
| 148 | + This :py:obj:`Reducer` fits the counts on each pixel of a detector, |
| 149 | + against the relative angular positions of those pixels. It then exposes |
| 150 | + fitted quantities, and their standard deviations, as signals from this |
| 151 | + reducer. |
| 152 | +
|
| 153 | + Args: |
| 154 | + detectors: numpy array of detector spectra to include. |
| 155 | + angle_map: numpy array of relative pixel angles for each |
| 156 | + selected detector |
| 157 | +
|
| 158 | + """ |
| 159 | + self.amp, self._amp_setter = soft_signal_r_and_setter(float, 0.0) |
| 160 | + """Amplitude of fitted Gaussian""" |
| 161 | + self.amp_err, self._amp_err_setter = soft_signal_r_and_setter(float, 0.0) |
| 162 | + """Amplitude standard deviation of fitted Gaussian""" |
| 163 | + self.sigma, self._sigma_setter = soft_signal_r_and_setter(float, 0.0) |
| 164 | + """Width (sigma) of fitted Gaussian""" |
| 165 | + self.sigma_err, self._sigma_err_setter = soft_signal_r_and_setter(float, 0.0) |
| 166 | + """Width (sigma) standard deviation of fitted Gaussian""" |
| 167 | + self.x0, self._x0_setter = soft_signal_r_and_setter(float, 0.0) |
| 168 | + """Centre (x0) of fitted Gaussian""" |
| 169 | + self.x0_err, self._x0_err_setter = soft_signal_r_and_setter(float, 0.0) |
| 170 | + """Centre (x0) standard deviation of fitted Gaussian""" |
| 171 | + self.background, self._background_setter = soft_signal_r_and_setter(float, 0.0) |
| 172 | + """Background of fitted Gaussian""" |
| 173 | + self.background_err, self._background_err_setter = soft_signal_r_and_setter(float, 0.0) |
| 174 | + """Background standard deviation of fitted Gaussian""" |
| 175 | + |
| 176 | + super().__init__() |
| 177 | + self._detectors = detectors |
| 178 | + self._angle_map = angle_map |
| 179 | + self._fit_method = Gaussian() |
| 180 | + |
| 181 | + def additional_readable_signals(self, dae: Dae) -> list[Device]: |
| 182 | + """Expose fit parameters as readable signals. |
| 183 | +
|
| 184 | + :meta private: |
| 185 | + """ |
| 186 | + return [ |
| 187 | + self.amp, |
| 188 | + self.amp_err, |
| 189 | + self.sigma, |
| 190 | + self.sigma_err, |
| 191 | + self.x0, |
| 192 | + self.x0_err, |
| 193 | + self.background, |
| 194 | + self.background_err, |
| 195 | + ] |
| 196 | + |
| 197 | + async def reduce_data(self, dae: Dae) -> None: |
| 198 | + """Perform the 'reduction'. |
| 199 | +
|
| 200 | + :meta private: |
| 201 | + """ |
| 202 | + data = await dae.trigger_and_get_specdata() |
| 203 | + |
| 204 | + # Filter to relevant detectors |
| 205 | + data = data[self._detectors] |
| 206 | + |
| 207 | + # Sum in ToF |
| 208 | + data = data.sum(axis=1) |
| 209 | + |
| 210 | + print(data) |
| 211 | + |
| 212 | + fit_method = Gaussian() |
| 213 | + |
| 214 | + # Generate initial guesses and fit |
| 215 | + guess = fit_method.guess()(self._angle_map, data) |
| 216 | + result = fit_method.model().fit(data, x=self._angle_map, **guess) |
| 217 | + |
| 218 | + self._amp_setter(result.params["amp"].value) |
| 219 | + self._amp_err_setter(result.params["amp"].stderr) |
| 220 | + self._x0_setter(result.params["x0"].value) |
| 221 | + self._x0_err_setter(result.params["x0"].stderr) |
| 222 | + self._sigma_setter(result.params["sigma"].value) |
| 223 | + self._sigma_err_setter(result.params["sigma"].stderr) |
| 224 | + self._background_setter(result.params["background"].value) |
| 225 | + self._background_err_setter(result.params["background"].stderr) |
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