def _get_cbase(self):
"""Get detector calibration base object.
Psana 1 only.
"""
from PSCalib.CalibParsBasePnccdV1 import CalibParsBasePnccdV1
return CalibParsBasePnccdV1()
def Create(self, calibdir, group, source, runnum, pbits=0, fnexpc=None, fnrepo=None, tsec=None) :
""" Factory method
Parameters
- calibdir : string - calibration directory, ex: /reg/d/psdm/AMO/amoa1214/calib
- group : string - group, ex: PNCCD::CalibV1
- source : string - data source, ex: Camp.0:pnCCD.0
- runnum : int - run number, ex: 10
- pbits=0 : int - print control bits, ex: 255
Returns
- GenericCalibPars object
"""
dettype = gu.det_type_from_source(source)
grp = group if group is not None else gu.dic_det_type_to_calib_group[dettype]
if pbits : print '%s: Detector type = %d: %s' % (self.name, dettype, gu.dic_det_type_to_name[dettype])
cbase = None
if dettype == gu.CSPAD : cbase = CalibParsBaseCSPadV1()
elif dettype == gu.CSPAD2X2 : cbase = CalibParsBaseCSPad2x2V1()
elif dettype == gu.PNCCD : cbase = CalibParsBasePnccdV1()
elif dettype == gu.PRINCETON : cbase = CalibParsBasePrincetonV1()
elif dettype == gu.ANDOR3D : cbase = CalibParsBaseAndor3dV1()
elif dettype == gu.ANDOR : cbase = CalibParsBaseAndorV1()
elif dettype == gu.EPIX100A : cbase = CalibParsBaseEpix100aV1()
elif dettype == gu.EPIX10KA : cbase = CalibParsBaseEpix10kaV1()
elif dettype == gu.JUNGFRAU : cbase = CalibParsBaseJungfrauV1()
elif dettype == gu.ACQIRIS : cbase = CalibParsBaseAcqirisV1()
elif dettype == gu.IMP : cbase = CalibParsBaseImpV1()
elif dettype in (gu.OPAL1000,\
gu.OPAL2000,\
gu.OPAL4000,\
gu.OPAL8000,\
gu.TM6740,\
gu.ORCAFL40,\
gu.FCCD960,\
gu.QUARTZ4A150,\
gu.RAYONIX,\
gu.FCCD,\
gu.TIMEPIX,\
gu.FLI,\
gu.ZYLA,\
gu.EPICSCAM,\
gu.PIMAX) : cbase = CalibParsBaseCameraV1()
else :
print '%s: calibration is not implemented data source "%s"' % (self.__class__.__name__, source)
#raise IOError('Calibration parameters for source: %s are not implemented in class %s' % (source, self.__class__.__name__))
return GenericCalibPars(cbase, calibdir, grp, source, runnum, pbits, fnexpc, fnrepo, tsec)
def initialize(self, geom, run_num=0):
"""
Initialize the detector as pnccd
:param geom: The pnccd .data file which characterize the geometry profile.
:param run_num: The run_num containing the background, rms and gain and the other
pixel pixel properties.
:return: None
"""
# Redirect the output stream
old_stdout = sys.stdout
f = six.StringIO()
# f = open('Detector_initialization.log', 'w')
sys.stdout = f
###########################################################################################
# Initialize the geometry configuration
############################################################################################
self.geometry = GeometryAccess(geom, 0o377)
self.run_num = run_num
# Set coordinate in real space
temp = self.geometry.get_pixel_coords()
temp_index = self.geometry.get_pixel_coord_indexes()
self.panel_num = temp[0].shape[1] * temp[0].shape[2]
self.distance = temp[2][0, 0, 0, 0, 0] * 1e-6 # Convert to m
self.pixel_position = np.zeros(
(self.panel_num, temp[0].shape[3], temp[0].shape[4], 3))
self.pixel_index_map = np.zeros(
(self.panel_num, temp[0].shape[3], temp[0].shape[4], 2))
for l in range(temp[0].shape[1]):
for m in range(temp[0].shape[2]):
for n in range(3):
self.pixel_position[m + l * temp[0].shape[2], :, :,
n] = temp[n][0, l, m]
for n in range(2):
self.pixel_index_map[m + l * temp[0].shape[2], :, :,
n] = temp_index[n][0, l, m]
self.pixel_index_map = self.pixel_index_map.astype(np.int64)
# Get the range of the pixel index
self.detector_pixel_num_x = np.max(self.pixel_index_map[:, :, :,
0]) + 1
self.detector_pixel_num_y = np.max(self.pixel_index_map[:, :, :,
1]) + 1
self.panel_pixel_num_x = np.array([
self.pixel_index_map.shape[1],
] * self.panel_num)
self.panel_pixel_num_y = np.array([
self.pixel_index_map.shape[2],
] * self.panel_num)
self.pixel_num_total = np.sum(
np.multiply(self.panel_pixel_num_x, self.panel_pixel_num_y))
tmp = float(self.geometry.get_pixel_scale_size() *
1e-6) # Convert to m
self.pixel_width = np.ones((self.panel_num, self.panel_pixel_num_x[0],
self.panel_pixel_num_y[0])) * tmp
self.pixel_height = np.ones((self.panel_num, self.panel_pixel_num_x[0],
self.panel_pixel_num_y[0])) * tmp
# Calculate the pixel area
self.pixel_area = np.multiply(self.pixel_height, self.pixel_width)
###########################################################################################
# Initialize the pixel effects
###########################################################################################
# first we should parse the path
parsed_path = geom.split('/')
source = parsed_path[-3]
if six.PY2:
cbase = CalibParsBasePnccdV1()
calibdir = '/'.join(parsed_path[:-4])
group = parsed_path[-4]
pbits = 255
gcp = GenericCalibPars(cbase, calibdir, group, source, run_num,
pbits)
self._pedestals = gcp.pedestals()
self._pixel_rms = gcp.pixel_rms()
self._pixel_mask = gcp.pixel_mask()
self._pixel_bkgd = gcp.pixel_bkgd()
self._pixel_status = gcp.pixel_status()
self._pixel_gain = gcp.pixel_gain()
else:
self.det = "pnccd_000" + source[-1]
self.exp = parsed_path[-5]
self._pedestals = None
self._pixel_rms = None
self._pixel_mask = None
self._pixel_bkgd = None
self._pixel_status = None
self._pixel_gain = None
# Redirect the output stream
sys.stdout = old_stdout
def _initialize(self, path):
#################################################################
## The following several lines initialize the geometry information
#################################################################
## Set coordinate in real space
temp = self.geometry.get_pixel_coords()
temp_index = self.geometry.get_pixel_coord_indexes()
self.panel_num = temp[0].shape[1] * temp[0].shape[2]
self.distance = temp[2][0, 0, 0, 0, 0]
self.pixel_position = np.zeros(
(self.panel_num, temp[0].shape[3], temp[0].shape[4], 3))
self.pixel_index_map = np.zeros(
(self.panel_num, temp[0].shape[3], temp[0].shape[4], 2))
for l in range(temp[0].shape[1]):
for m in range(temp[0].shape[2]):
for n in range(3):
self.pixel_position[m + l * temp[0].shape[2], :, :,
n] = temp[n][0, l, m, :, :]
for n in range(2):
self.pixel_index_map[m + l * temp[0].shape[2], :, :,
n] = temp_index[n][0, l, m, :, :]
self.pixel_index_map = self.pixel_index_map.astype('int32')
del temp
del temp_index
self.panel_orientation = np.array([
[0, 0, 1],
] * self.panel_num)
self.pix_num_x = np.array([
self.pixel_index_map.shape[1],
] * self.panel_num)
self.pix_num_y = np.array([
self.pixel_index_map.shape[2],
] * self.panel_num)
self.pix_num_total = np.sum(np.multiply(self.pix_num_x,
self.pix_num_y))
tmp = float(self.geometry.get_pixel_scale_size())
self.pix_width = np.ones(
(self.panel_num, self.pix_num_x[0], self.pix_num_y[0])) * tmp
self.pix_height = np.ones(
(self.panel_num, self.pix_num_x[0], self.pix_num_y[0])) * tmp
####################################################################
## The following several lines initialize the detector effects besides cross talk.
####################################################################
## first we should parse the path
parsed_path = parsed_path = path.split('/')
cbase = CalibParsBasePnccdV1()
calibdir = '/'.join(parsed_path[:-3])
group = parsed_path[-3]
source = parsed_path[-2]
runnum = 0
pbits = 255
ctype = gu.PEDESTALS
gcp = GenericCalibPars(cbase, calibdir, group, source, runnum, pbits)
self.pedestal = gcp.pedestals()
self.pixel_rms = gcp.pixel_rms()
self.pixel_mask = gcp.pixel_mask()
self.pixel_bkgd = gcp.pixel_bkgd()
self.pixel_status = gcp.pixel_status()
self.pixel_gain = gcp.pixel_gain()
self._calculate_pixel_range()