Add FormatISISSXD to read ISIS SXD images.

newsfragments/687.feature

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+Add format reader for ISIS SXD detector.

src/dxtbx/format/FormatISISSXD.py

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+from __future__ import annotations
+
+from typing import List, Tuple
+
+import h5py
+
+import cctbx.array_family.flex as flex
+
+from dxtbx import IncorrectFormatError
+from dxtbx.format.FormatHDF5 import FormatHDF5
+from dxtbx.model import Detector, Goniometer, Scan
+from dxtbx.model.beam import BeamFactory, PolychromaticBeam, Probe
+from dxtbx.model.goniometer import GoniometerFactory
+from dxtbx.model.scan import ScanFactory
+
+
+class FormatISISSXD(FormatHDF5):
+
+    """
+    Class to read image files from ISIS SXD
+    (https://www.isis.stfc.ac.uk/Pages/sxd.aspx)
+    """
+
+    def __init__(self, image_file: str, **kwargs) -> None:
+        super().__init__(image_file, **kwargs)
+        if not FormatISISSXD.understand(image_file):
+            raise IncorrectFormatError(self, image_file)
+        self._nxs_file = h5py.File(image_file, "r")
+        self._raw_data = None
+
+    @staticmethod
+    def understand(image_file: str) -> bool:
+        try:
+            return FormatISISSXD.is_isissxd_file(image_file)
+        except (IOError, KeyError):
+            return False
+
+    @staticmethod
+    def is_isissxd_file(image_file: str) -> bool:
+        def get_name(image_file: str) -> str:
+            with h5py.File(image_file, "r") as handle:
+                if "raw_data_1" in handle:
+                    return handle["/raw_data_1/name"][0].decode()
+                return ""
+
+        return get_name(image_file) == "SXD"
+
+    def get_experiment_title(self) -> str:
+        return self._nxs_file["raw_data_1"]["title"][0].decode()
+
+    def get_experiment_run_number(self) -> str:
+        return self._nxs_file["raw_data_1"]["run_number"][0]
+
+    def get_experiment_description(self) -> str:
+        title = self.get_experiment_title()
+        run_number = self.get_experiment_run_number()
+        return f"{title} ({run_number})"
+
+    def get_goniometer(self, index: int = None) -> Goniometer:
+        rotation_axis = (0.0, 1.0, 0.0)
+        fixed_rotation = (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0)
+        goniometer = GoniometerFactory.make_goniometer(rotation_axis, fixed_rotation)
+        try:
+            angle = float(self.get_experiment_title().split("w=")[1].split()[0])
+            if angle < 0:
+                angle *= -1
+            goniometer.rotate_around_origin(rotation_axis, angle)
+        except (ValueError, IndexError):
+            pass
+        return goniometer
+
+    def get_detector(self, index: int = None) -> Detector:
+
+        num_panels = self._get_num_panels()
+        panel_names = self._get_panel_names()
+        panel_type = self._get_panel_type()
+        image_size = self._get_image_size()
+        trusted_range = self._get_panel_trusted_range()
+        pixel_size = self._get_pixel_size()
+        fast_axes = self._get_panel_fast_axes()
+        slow_axes = self._get_panel_slow_axes()
+        panel_origins = self._get_panel_origins()
+        gain = self._get_panel_gain()
+        panel_projections = self._get_panel_projections_2d()
+        detector = Detector()
+        root = detector.hierarchy()
+
+        for i in range(num_panels):
+            panel = root.add_panel()
+            panel.set_type(panel_type)
+            panel.set_name(panel_names[i])
+            panel.set_image_size(image_size)
+            panel.set_trusted_range(trusted_range)
+            panel.set_pixel_size(pixel_size)
+            panel.set_local_frame(fast_axes[i], slow_axes[i], panel_origins[i])
+            panel.set_gain(gain)
+            r, t = panel_projections[i + 1]
+            r = tuple(map(int, r))
+            t = tuple(map(int, t))
+            panel.set_projection_2d(r, t)
+
+        return detector
+
+    def _get_pixel_size(self) -> Tuple[float, float]:
+        # (mm)
+        return (3.0, 3.0)
+
+    def _get_image_size(self) -> Tuple[int, int]:
+        # (px)
+        return (64, 64)
+
+    def _get_num_panels(self) -> int:
+        return 11
+
+    def _get_panel_names(self) -> List[str]:
+        return ["%02d" % (i + 1) for i in range(11)]
+
+    def _get_panel_gain(self):
+        return 1.0
+
+    def _get_panel_trusted_range(self) -> Tuple[int, int]:
+        return (-1, 100000)
+
+    def _get_panel_type(self) -> str:
+        return "SENSOR_PAD"
+
+    def _panel_0_params(self):
+        if self._panel_0_flipped():
+            return {
+                "slow_axis": (0.793, 0.0, 0.609),
+                "fast_axis": (0.0, -1.0, 0.0),
+                "origin": (60.81, 96.0, -236.946),
+            }
+        return {
+            "fast_axis": (-0.793, 0.0, -0.609),
+            "slow_axis": (0.0, 1.0, 0.0),
+            "origin": (213.099, -96.0, -120.041),
+        }
+
+    def _get_panel_origins(self) -> Tuple[Tuple[float, float, float]]:
+        # (mm)
+        return (
+            self._panel_0_params()["origin"],
+            (224.999, -96.0, 96.0),
+            (60.809, -96.0, 236.945),
+            (-214.172, -96.0, 118.198),
+            (-224.999, -96.0, -96.0),
+            (-60.809, -96.0, -236.945),
+            (127.534, -256.614, 96.0),
+            (-96.0, -256.614, 127.534),
+            (-123.036, -258.801, -96.0),
+            (96.0, -256.614, -127.534),
+            (96.0, -278.0, 96.0),
+        )
+
+    def _panel_0_flipped(self) -> bool:
+        if self._nxs_file["raw_data_1"]["run_number"][0] > 30000:
+            return True
+        return False
+
+    def _get_panel_slow_axes(self) -> Tuple[Tuple[float, float, float]]:
+        return (
+            self._panel_0_params()["slow_axis"],
+            (0.0, 1.0, 0.0),
+            (0.0, 1.0, 0.0),
+            (0.0, 1.0, 0.0),
+            (0.0, 1.0, 0.0),
+            (0.0, 1.0, 0.0),
+            (0.695, 0.719, -0.0),
+            (0.0, 0.719, 0.695),
+            (-0.707, 0.707, -0.0),
+            (0.0, 0.719, -0.695),
+            (-0.0, 0.0, -1.0),
+        )
+
+    def _get_panel_fast_axes(self) -> Tuple[Tuple[float, float, float]]:
+        return (
+            self._panel_0_params()["fast_axis"],
+            (-0.0, -0.0, -1.0),
+            (0.793, -0.0, -0.609),
+            (0.788, -0.0, 0.616),
+            (-0.0, -0.0, 1.0),
+            (-0.793, -0.0, 0.609),
+            (0.0, -0.0, -1.0),
+            (1.0, -0.0, -0.0),
+            (-0.0, -0.0, 1.0),
+            (-1.0, -0.0, -0.0),
+            (-1.0, -0.0, -0.0),
+        )
+
+    def _get_panel_projections_2d(self) -> dict:
+
+        """
+        Returns a projection of the
+        detector flattened around the bottom panel (11)
+        """
+
+        p_w, p_h = self._get_image_size()
+        panel_pos = {
+            11: ((1, 0, 0, 1), (0, 0)),
+            10: ((1, 0, 0, 1), (-p_h, 0)),
+            8: ((1, 0, 0, 1), (p_h, 0)),
+            7: ((1, 0, 0, 1), (0, -p_w)),
+            9: ((1, 0, 0, 1), (0, p_w)),
+            2: ((1, 0, 0, 1), (0, 2 * -p_w)),
+            5: ((1, 0, 0, 1), (0, 2 * p_w)),
+            3: ((1, 0, 0, 1), (p_h, 2 * -p_w)),
+            4: ((1, 0, 0, 1), (p_h, 2 * p_w)),
+            1: ((1, 0, 0, 1), (-p_h, 2 * -p_w)),
+            6: ((1, 0, 0, 1), (-p_h, 2 * p_w)),
+        }
+
+        return panel_pos
+
+    def get_beam(self, index: int = None) -> PolychromaticBeam:
+        direction = self._get_sample_to_source_direction()
+        distance = self._get_sample_to_source_distance()
+        return BeamFactory.make_polychromatic_beam(
+            direction=direction, sample_to_source_distance=distance, probe=Probe.neutron
+        )
+
+    def _get_sample_to_source_distance(self) -> float:
+        # (mm)
+        return 8300.0
+
+    def _get_sample_to_source_direction(self) -> Tuple[float, float, float]:
+        return (0, 0, -1)
+
+    def get_scan(self, index=None) -> Scan:
+        image_range = (1, self.get_num_images())
+        properties = {"time_of_flight": self._get_time_of_flight()}
+        return ScanFactory.make_scan_from_properties(
+            image_range=image_range, properties=properties
+        )
+
+    def _get_time_channel_bins(self) -> List[float]:
+        # (usec)
+        return self._nxs_file["raw_data_1"]["instrument"]["dae"]["time_channels_1"][
+            "time_of_flight"
+        ][:]
+
+    def _get_time_of_flight(self) -> Tuple[float]:
+        # (usec)
+        bins = self._get_time_channel_bins()
+        return tuple(
+            [float((bins[i] + bins[i + 1]) * 0.5) for i in range(len(bins) - 1)]
+        )
+
+    def get_num_images(self) -> int:
+        return len(self._get_time_of_flight())
+
+    def _load_raw_data(self):
+        raw_data = []
+        panel_size = self._get_image_size()
+        total_pixels = panel_size[0] * panel_size[1]
+        num_tof_bins = len(self._get_time_of_flight())
+
+        # Panel positions are offset by 4 in raw_data array
+        # See p24 of https://www.isis.stfc.ac.uk/Pages/sxd-user-guide6683.pdf
+        idx_offset = 4
+
+        for panel_idx in range(self._get_num_panels()):
+            start_idx = (panel_idx * total_pixels) + (panel_idx * idx_offset)
+            end_idx = start_idx + total_pixels
+            panel_data = flex.int(
+                self._nxs_file["raw_data_1/detector_1/counts"][0, start_idx:end_idx, :]
+            )
+            panel_data.reshape(flex.grid(panel_size[0], panel_size[1], num_tof_bins))
+            raw_data.append(panel_data)
+        self._raw_data = tuple(raw_data)
+
+    def get_raw_data(self, index: int, use_loaded_data=True) -> Tuple[flex.int]:
+
+        raw_data = []
+
+        if use_loaded_data:
+            if self._raw_data is None:
+                self._load_raw_data()
+            for panel in self._raw_data:
+                data = panel[:, :, index : index + 1]
+                data.reshape(flex.grid(panel.all()[0], panel.all()[1]))
+                data.matrix_transpose_in_place()
+                raw_data.append(data)
+
+        else:
+            panel_size = self._get_image_size()
+            total_pixels = panel_size[0] * panel_size[1]
+
+            # Panel positions are offset by 4 in raw_data array
+            # See p24 of https://www.isis.stfc.ac.uk/Pages/sxd-user-guide6683.pdf
+            idx_offset = 4
+
+            for panel_idx in range(self._get_num_panels()):
+                start_idx = (panel_idx * total_pixels) + (panel_idx * idx_offset)
+                end_idx = start_idx + total_pixels
+                panel_data = flex.int(
+                    self._nxs_file["raw_data_1/detector_1/counts"][
+                        0, start_idx:end_idx, index
+                    ]
+                )
+                panel_data.reshape(flex.grid(panel_size[0], panel_size[1]))
+                panel_data.matrix_transpose_in_place()
+                raw_data.append(panel_data)
+
+        return tuple(raw_data)