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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Project: Fast Azimuthal integration
# https://github.com/silx-kit/pyFAI
#
# Copyright (C) 2017-2018 European Synchrotron Radiation Facility, Grenoble, France
#
# Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# .
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
# .
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
"""
Detectors manufactured by ESRF
"""
__author__ = "Jerome Kieffer"
__contact__ = "Jerome.Kieffer@ESRF.eu"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
__date__ = "18/06/2020"
__status__ = "production"
import numpy
import logging
import json
from ._common import Detector
logger = logging.getLogger(__name__)
try:
import fabio
except ImportError:
logger.debug("Backtrace", exc_info=True)
fabio = None
class FReLoN(Detector):
"""
FReLoN detector:
The spline is mandatory to correct for geometric distortion of the taper
TODO: create automatically a mask that removes pixels out of the "valid reagion"
"""
MANUFACTURER = "ESRF"
MAX_SHAPE = (2048, 2048)
HAVE_TAPER = True
def __init__(self, splineFile=None):
super(FReLoN, self).__init__(splineFile=splineFile)
if splineFile:
self.max_shape = (int(self.spline.ymax - self.spline.ymin),
int(self.spline.xmax - self.spline.xmin))
self.uniform_pixel = False
else:
self.max_shape = (2048, 2048)
self.pixel1 = 50e-6
self.pixel2 = 50e-6
self.shape = self.max_shape
def calc_mask(self):
"""
Returns a generic mask for Frelon detectors...
All pixels which (center) turns to be out of the valid region are by default discarded
"""
if not self._splineFile:
return
d1 = numpy.outer(numpy.arange(self.shape[0]), numpy.ones(self.shape[1])) + 0.5
d2 = numpy.outer(numpy.ones(self.shape[0]), numpy.arange(self.shape[1])) + 0.5
dX = self.spline.splineFuncX(d2, d1)
dY = self.spline.splineFuncY(d2, d1)
p1 = dY + d1
p2 = dX + d2
below_min = numpy.logical_or((p2 < self.spline.xmin), (p1 < self.spline.ymin))
above_max = numpy.logical_or((p2 > self.spline.xmax), (p1 > self.spline.ymax))
mask = numpy.logical_or(below_min, above_max).astype(numpy.int8)
return mask
def get_config(self):
"""Return the configuration with arguments to the constructor
:return: dict with param for serialization
"""
return {"splineFile": self._splineFile}
class Maxipix(Detector):
"""
ESRF Maxipix detector: generic description containing mask algorithm
Sub-classed by Maxipix2x2 and Maxipix5x1
"""
MANUFACTURER = "ESRF"
MODULE_SIZE = (256, 256)
MODULE_GAP = (4, 4)
MAX_SHAPE = (256, 256)
force_pixel = True
aliases = ["Maxipix 1x1", "Maxipix1x1"]
def __init__(self, pixel1=55e-6, pixel2=55e-6, max_shape=None, module_size=None):
super(Maxipix, self).__init__(pixel1=pixel1, pixel2=pixel2, max_shape=max_shape)
if (module_size is None) and ("MODULE_SIZE" in dir(self.__class__)):
self.module_size = tuple(self.MODULE_SIZE)
else:
self.module_size = module_size
self.uniform_pixel = True
def __repr__(self):
txt = "Detector %s\t PixelSize= %.3e, %.3e m" % (self.name, self.pixel1, self.pixel2)
return txt
def calc_mask(self):
"""
Returns a generic mask for Mexipix detectors...
"""
if self.max_shape is None:
raise NotImplementedError("Generic Pilatus detector does not know "
"its max size ...")
mask = numpy.zeros(self.max_shape, dtype=numpy.int8)
# workinng in dim0 = Y
for i in range(self.module_size[0], self.max_shape[0],
self.module_size[0] + self.MODULE_GAP[0]):
mask[i: i + self.MODULE_GAP[0], :] = 1
# workinng in dim1 = X
for i in range(self.module_size[1], self.max_shape[1],
self.module_size[1] + self.MODULE_GAP[1]):
mask[:, i: i + self.MODULE_GAP[1]] = 1
return mask
def get_config(self):
"""Return the configuration with arguments to the constructor
:return: dict with param for serialization
"""
dico = {}
if ((self.max_shape is not None) and
("MAX_SHAPE" in dir(self.__class__)) and
(tuple(self.max_shape) != tuple(self.__class__.MAX_SHAPE))):
dico["max_shape"] = self.max_shape
if ((self.module_size is not None) and
(tuple(self.module_size) != tuple(self.__class__.MODULE_SIZE))):
dico["module_size"] = self.module_size
return dico
def set_config(self, config):
"""set the config of the detector
For Eiger detector, possible keys are: max_shape, module_size
:param config: dict or JSON serialized dict
:return: detector instance
"""
if not isinstance(config, dict):
try:
config = json.loads(config)
except Exception as err: # IGNORE:W0703:
logger.error("Unable to parse config %s with JSON: %s, %s",
config, err)
raise err
# pixel size is enforced by the detector itself
if "max_shape" in config:
self.max_shape = tuple(config["max_shape"])
module_size = config.get("module_size")
if module_size is not None:
self.module_size = tuple(module_size)
return self
class Maxipix2x2(Maxipix):
"""
Maxipix 2x2 detector
"""
MAX_SHAPE = (516, 516)
aliases = ["Maxipix 2x2"]
class Maxipix5x1(Maxipix):
"""
Maxipix 5x1 detector
"""
MAX_SHAPE = (256, 1296)
aliases = ["Maxipix 5x1"]
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