IgorReader.py @ c76bdc3

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since c76bdc3 was 79492222, checked in by krzywon, 10 years ago
Changed the file and folder names to remove all SANS references.
Property mode set to `100644`
File size: 10.6 KB

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1	"""
2	IGOR 2D reduced file reader
3	"""
4	############################################################################
5	#This software was developed by the University of Tennessee as part of the
6	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
7	#project funded by the US National Science Foundation.
8	#If you use DANSE applications to do scientific research that leads to
9	#publication, we ask that you acknowledge the use of the software with the
10	#following sentence:
11	#This work benefited from DANSE software developed under NSF award DMR-0520547.
12	#copyright 2008, University of Tennessee
13	#############################################################################
14	import os
15	import numpy
16	import math
17	#import logging
18	from sas.dataloader.data_info import Data2D
19	from sas.dataloader.data_info import Detector
20	from sas.dataloader.manipulations import reader2D_converter
21
22	# Look for unit converter
23	has_converter = True
24	try:
25	from sas.data_util.nxsunit import Converter
26	except:
27	has_converter = False
28
29
30	class Reader:
31	""" Simple data reader for Igor data files """
32	## File type
33	type_name = "IGOR 2D"
34	## Wildcards
35	type = ["IGOR 2D files (.ASC)\|.ASC"]
36	## Extension
37	ext=['.ASC', '.asc']
38
39	def read(self, filename=None):
40	""" Read file """
41	if not os.path.isfile(filename):
42	raise ValueError, \
43	"Specified file %s is not a regular file" % filename
44
45	# Read file
46	f = open(filename, 'r')
47	buf = f.read()
48
49	# Instantiate data object
50	output = Data2D()
51	output.filename = os.path.basename(filename)
52	detector = Detector()
53	if len(output.detector) > 0:
54	print str(output.detector[0])
55	output.detector.append(detector)
56
57	# Get content
58	dataStarted = False
59
60	lines = buf.split('\n')
61	itot = 0
62	x = []
63	y = []
64
65	ncounts = 0
66
67	xmin = None
68	xmax = None
69	ymin = None
70	ymax = None
71
72	i_x = 0
73	i_y = -1
74	i_tot_row = 0
75
76	isInfo = False
77	isCenter = False
78
79	data_conv_q = None
80	data_conv_i = None
81
82	if has_converter == True and output.Q_unit != '1/A':
83	data_conv_q = Converter('1/A')
84	# Test it
85	data_conv_q(1.0, output.Q_unit)
86
87	if has_converter == True and output.I_unit != '1/cm':
88	data_conv_i = Converter('1/cm')
89	# Test it
90	data_conv_i(1.0, output.I_unit)
91
92	for line in lines:
93
94	# Find setup info line
95	if isInfo:
96	isInfo = False
97	line_toks = line.split()
98	# Wavelength in Angstrom
99	try:
100	wavelength = float(line_toks[1])
101	except:
102	msg = "IgorReader: can't read this file, missing wavelength"
103	raise ValueError, msg
104
105	#Find # of bins in a row assuming the detector is square.
106	if dataStarted == True:
107	try:
108	value = float(line)
109	except:
110	# Found a non-float entry, skip it
111	continue
112
113	# Get total bin number
114
115	i_tot_row += 1
116	i_tot_row = math.ceil(math.sqrt(i_tot_row)) - 1
117	#print "i_tot", i_tot_row
118	size_x = i_tot_row # 192#128
119	size_y = i_tot_row # 192#128
120	output.data = numpy.zeros([size_x, size_y])
121	output.err_data = numpy.zeros([size_x, size_y])
122
123	#Read Header and 2D data
124	for line in lines:
125	# Find setup info line
126	if isInfo:
127	isInfo = False
128	line_toks = line.split()
129	# Wavelength in Angstrom
130	try:
131	wavelength = float(line_toks[1])
132	except:
133	msg = "IgorReader: can't read this file, missing wavelength"
134	raise ValueError, msg
135	# Distance in meters
136	try:
137	distance = float(line_toks[3])
138	except:
139	msg = "IgorReader: can't read this file, missing distance"
140	raise ValueError, msg
141
142	# Distance in meters
143	try:
144	transmission = float(line_toks[4])
145	except:
146	msg = "IgorReader: can't read this file, "
147	msg += "missing transmission"
148	raise ValueError, msg
149
150	if line.count("LAMBDA") > 0:
151	isInfo = True
152
153	# Find center info line
154	if isCenter:
155	isCenter = False
156	line_toks = line.split()
157
158	# Center in bin number: Must substrate 1 because
159	#the index starts from 1
160	center_x = float(line_toks[0]) - 1
161	center_y = float(line_toks[1]) - 1
162
163	if line.count("BCENT") > 0:
164	isCenter = True
165
166	# Find data start
167	if line.count("***")>0:
168	dataStarted = True
169
170	# Check that we have all the info
171	if wavelength == None \
172	or distance == None \
173	or center_x == None \
174	or center_y == None:
175	msg = "IgorReader:Missing information in data file"
176	raise ValueError, msg
177
178	if dataStarted == True:
179	try:
180	value = float(line)
181	except:
182	# Found a non-float entry, skip it
183	continue
184
185	# Get bin number
186	if math.fmod(itot, i_tot_row) == 0:
187	i_x = 0
188	i_y += 1
189	else:
190	i_x += 1
191
192	output.data[i_y][i_x] = value
193	ncounts += 1
194
195	# Det 640 x 640 mm
196	# Q = 4pi/lambda sin(theta/2)
197	# Bin size is 0.5 cm
198	#REmoved +1 from theta = (i_x-center_x+1)*0.5 / distance
199	# / 100.0 and
200	#REmoved +1 from theta = (i_y-center_y+1)*0.5 /
201	# distance / 100.0
202	#ToDo: Need complete check if the following
203	# covert process is consistent with fitting.py.
204	theta = (i_x - center_x) * 0.5 / distance / 100.0
205	qx = 4.0 * math.pi / wavelength * math.sin(theta/2.0)
206
207	if has_converter == True and output.Q_unit != '1/A':
208	qx = data_conv_q(qx, units=output.Q_unit)
209
210	if xmin == None or qx < xmin:
211	xmin = qx
212	if xmax == None or qx > xmax:
213	xmax = qx
214
215	theta = (i_y - center_y) * 0.5 / distance / 100.0
216	qy = 4.0 * math.pi / wavelength * math.sin(theta / 2.0)
217
218	if has_converter == True and output.Q_unit != '1/A':
219	qy = data_conv_q(qy, units=output.Q_unit)
220
221	if ymin == None or qy < ymin:
222	ymin = qy
223	if ymax == None or qy > ymax:
224	ymax = qy
225
226	if not qx in x:
227	x.append(qx)
228	if not qy in y:
229	y.append(qy)
230
231	itot += 1
232
233
234	theta = 0.25 / distance / 100.0
235	xstep = 4.0 * math.pi / wavelength * math.sin(theta / 2.0)
236
237	theta = 0.25 / distance / 100.0
238	ystep = 4.0 * math.pi/ wavelength * math.sin(theta / 2.0)
239
240	# Store all data ######################################
241	# Store wavelength
242	if has_converter == True and output.source.wavelength_unit != 'A':
243	conv = Converter('A')
244	wavelength = conv(wavelength, units=output.source.wavelength_unit)
245	output.source.wavelength = wavelength
246
247	# Store distance
248	if has_converter == True and detector.distance_unit != 'm':
249	conv = Converter('m')
250	distance = conv(distance, units=detector.distance_unit)
251	detector.distance = distance
252
253	# Store transmission
254	output.sample.transmission = transmission
255
256	# Store pixel size
257	pixel = 5.0
258	if has_converter == True and detector.pixel_size_unit != 'mm':
259	conv = Converter('mm')
260	pixel = conv(pixel, units=detector.pixel_size_unit)
261	detector.pixel_size.x = pixel
262	detector.pixel_size.y = pixel
263
264	# Store beam center in distance units
265	detector.beam_center.x = center_x * pixel
266	detector.beam_center.y = center_y * pixel
267
268	# Store limits of the image (2D array)
269	xmin = xmin - xstep / 2.0
270	xmax = xmax + xstep / 2.0
271	ymin = ymin - ystep / 2.0
272	ymax = ymax + ystep / 2.0
273	if has_converter == True and output.Q_unit != '1/A':
274	xmin = data_conv_q(xmin, units=output.Q_unit)
275	xmax = data_conv_q(xmax, units=output.Q_unit)
276	ymin = data_conv_q(ymin, units=output.Q_unit)
277	ymax = data_conv_q(ymax, units=output.Q_unit)
278	output.xmin = xmin
279	output.xmax = xmax
280	output.ymin = ymin
281	output.ymax = ymax
282
283	# Store x and y axis bin centers
284	output.x_bins = x
285	output.y_bins = y
286
287	# Units
288	if data_conv_q is not None:
289	output.xaxis("\\rm{Q_{x}}", output.Q_unit)
290	output.yaxis("\\rm{Q_{y}}", output.Q_unit)
291	else:
292	output.xaxis("\\rm{Q_{x}}", 'A^{-1}')
293	output.yaxis("\\rm{Q_{y}}", 'A^{-1}')
294
295	if data_conv_i is not None:
296	output.zaxis("\\rm{Intensity}", output.I_unit)
297	else:
298	output.zaxis("\\rm{Intensity}", "cm^{-1}")
299
300	# Store loading process information
301	output.meta_data['loader'] = self.type_name
302	output = reader2D_converter(output)
303
304	return output

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SasView

source: sasview/src/sas/dataloader/readers/IgorReader.py @ c76bdc3

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