sans_gen.py @ afcb052

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 afcb052 was afd45674, checked in by Jae Cho <jhjcho@…>, 11 years ago
Added total volume param in the sasgen model
Property mode set to `100644`
File size: 40.2 KB

Line
1	"""
2	SANS generic computation and sld file readers
3	"""
4	from sans.models.BaseComponent import BaseComponent
5	import sans.models.sans_extension.sld2i as mod
6	from periodictable import formula
7	from periodictable import nsf
8	import numpy
9	import os
10	import copy
11
12	MFactor_AM = 2.853E-12
13	MFactor_mT = 2.3164E-9
14	METER2ANG = 1.0E+10
15	#Avogadro constant [1/mol]
16	NA = 6.02214129e+23
17
18	def mag2sld(mag, v_unit=None):
19	"""
20	Convert magnetization to magnatic SLD
21	sldm = Dm * mag where Dm = gamma * classical elec. radius/(2*Bohr magneton)
22	Dm ~ 2.853E-12 [A^(-2)] ==> Shouldn't be 2.90636E-12 [A^(-2)]???
23	"""
24	if v_unit == "A/m":
25	factor = MFactor_AM
26	elif v_unit == "mT":
27	factor = MFactor_mT
28	else:
29	raise ValueError, "Invalid valueunit"
30	sld_m = factor * mag
31	return sld_m
32
33	class GenSAS(BaseComponent):
34	"""
35	Generic SAS computation Model based on sld (n & m) arrays
36	"""
37	def __init__(self):
38	"""
39	Init
40
41	:Params sld_data: MagSLD object
42	"""
43	# Initialize BaseComponent
44	BaseComponent.__init__(self)
45	self.sld_data = None
46	self.data_pos_unit = None
47	self.data_x = None
48	self.data_y = None
49	self.data_z = None
50	self.data_sldn = None
51	self.data_mx = None
52	self.data_my = None
53	self.data_mz = None
54	self.data_vol = None #[A^3]
55	self.is_avg = False
56	## Name of the model
57	self.name = "GenSAS"
58	## Define parameters
59	self.params = {}
60	self.params['scale'] = 1.0
61	self.params['background'] = 0.0
62	self.params['solvent_SLD'] = 0.0
63	self.params['total_volume'] = 1.0
64	self.params['Up_frac_in'] = 1.0
65	self.params['Up_frac_out'] = 1.0
66	self.params['Up_theta'] = 0.0
67	self.description = 'GenSAS'
68	## Parameter details [units, min, max]
69	self.details = {}
70	self.details['scale'] = ['', None, None]
71	self.details['background'] = ['[1/cm]', None, None]
72	self.details['solvent_SLD'] = ['1/A^(2)', None, None]
73	self.details['total_volume'] = ['A^(3)', None, None]
74	self.details['Up_frac_in'] = ['[u/(u+d)]', None, None]
75	self.details['Up_frac_out'] = ['[u/(u+d)]', None, None]
76	self.details['Up_theta'] = ['[deg]', None, None]
77	# fixed parameters
78	self.fixed = []
79
80	def set_pixel_volumes(self, volume):
81	"""
82	Set the volume of a pixel in (A^3) unit
83	:Param volume: pixel volume [float]
84	"""
85	if self.data_vol == None:
86	raise
87	self.data_vol = volume
88
89	def set_is_avg(self, is_avg=False):
90	"""
91	Sets is_avg: [bool]
92	"""
93	self.is_avg = is_avg
94
95	def _gen(self, x, y, i):
96	"""
97	Evaluate the function
98	:Param x: array of x-values
99	:Param y: array of y-values
100	:Param i: array of initial i-value
101	:return: function value
102	"""
103	len_x = len(self.data_x)
104	if self.is_avg:
105	len_x *= -1
106	len_q = len(x)
107	sldn = copy.deepcopy(self.data_sldn)
108	sldn -= self.params['solvent_SLD']
109	model = mod.new_GenI(len_x, self.data_x, self.data_y, self.data_z,
110	sldn, self.data_mx, self.data_my,
111	self.data_mz, self.data_vol,
112	self.params['Up_frac_in'],
113	self.params['Up_frac_out'],
114	self.params['Up_theta'])
115
116	mod.genicom(model, len_q, x, y, i)
117	vol_correction = self.data_total_volume / self.params['total_volume']
118	return self.params['scale'] * vol_correction * i + \
119	self.params['background']
120
121	def set_sld_data(self, sld_data=None):
122	"""
123	Sets sld_data
124	"""
125	self.sld_data = sld_data
126	self.data_pos_unit = sld_data.pos_unit
127	self.data_x = sld_data.pos_x
128	self.data_y = sld_data.pos_y
129	self.data_z = sld_data.pos_z
130	self.data_sldn = sld_data.sld_n
131	self.data_mx = sld_data.sld_mx
132	self.data_my = sld_data.sld_my
133	self.data_mz = sld_data.sld_mz
134	self.data_vol = sld_data.vol_pix
135	self.data_total_volume = sum(sld_data.vol_pix)
136	self.params['total_volume'] = sum(sld_data.vol_pix)
137
138	def getProfile(self):
139	"""
140	Get SLD profile
141
142	: return: sld_data
143	"""
144	return self.sld_data
145
146	def run(self, x = 0.0):
147	"""
148	Evaluate the model
149	:param x: simple value
150	:return: (I value)
151	"""
152	if x.__class__.__name__ == 'list':
153	i_out = numpy.zeros_like(x[0])
154	y_in = numpy.zeros_like(x[0])
155	# 1D I is found at y =0 in the 2D pattern
156	return self._gen(x[0], y_in, i_out )
157	else:
158	msg = "Q must be given as list of qx's and qy's"
159	raise ValueError, msg
160
161	def runXY(self, x = 0.0):
162	"""
163	Evaluate the model
164	:param x: simple value
165	:return: I value
166	:Use this runXY() for the computation
167	"""
168	if x.__class__.__name__ == 'list':
169	i_out = numpy.zeros_like(x[0])
170	import time
171	s = time.time()
172	out = self._gen(x[0], x[1], i_out)
173	print "i_out_time", time.time() - s
174	return out
175	else:
176	msg = "Q must be given as list of qx's and qy's"
177	raise ValueError, msg
178
179	def evalDistribution(self, qdist):
180	"""
181	Evaluate a distribution of q-values.
182	* For 1D, a numpy array is expected as input:
183	evalDistribution(q)
184	where q is a numpy array.
185	* For 2D, a list of numpy arrays are expected: [qx_prime,qy_prime],
186	where 1D arrays,
187	:param qdist: ndarray of scalar q-values or list [qx,qy]
188	where qx,qy are 1D ndarrays
189	"""
190	if qdist.__class__.__name__ == 'list':
191	out = self.runXY(qdist)
192	return out
193	else:
194	mesg = "evalDistribution is expecting an ndarray of "
195	mesg += "a list [qx,qy] where qx,qy are arrays."
196	raise RuntimeError, mesg
197
198	class OMF2SLD:
199	"""
200	Convert OMFData to MAgData
201	"""
202	def __init__(self):
203	"""
204	Init
205	"""
206	self.pos_x = None
207	self.pos_y = None
208	self.pos_z = None
209	self.mx = None
210	self.my = None
211	self.mz = None
212	self.sld_n = None
213	self.vol_pix = None
214	self.output = None
215	self.omfdata = None
216
217	def set_data(self, omfdata, shape='rectangular'):
218	"""
219	Set all data
220	"""
221	self.omfdata = omfdata
222	length = int(omfdata.xnodes * omfdata.ynodes * omfdata.znodes)
223	pos_x = numpy.arange(omfdata.xmin,
224	omfdata.xnodes*omfdata.xstepsize + omfdata.xmin,
225	omfdata.xstepsize)
226	pos_y = numpy.arange(omfdata.ymin,
227	omfdata.ynodes*omfdata.ystepsize + omfdata.ymin,
228	omfdata.ystepsize)
229	pos_z = numpy.arange(omfdata.zmin,
230	omfdata.znodes*omfdata.zstepsize + omfdata.zmin,
231	omfdata.zstepsize)
232	self.pos_x = numpy.tile(pos_x, int(omfdata.ynodes * omfdata.znodes))
233	self.pos_y = pos_y.repeat(int(omfdata.xnodes))
234	self.pos_y = numpy.tile(self.pos_y, int(omfdata.znodes))
235	self.pos_z = pos_z.repeat(int(omfdata.xnodes * omfdata.ynodes))
236	self.mx = omfdata.mx
237	self.my = omfdata.my
238	self.mz = omfdata.mz
239	self.sld_n = numpy.zeros(length)
240
241	if omfdata.mx == None:
242	self.mx = numpy.zeros(length)
243	if omfdata.my == None:
244	self.my = numpy.zeros(length)
245	if omfdata.mz == None:
246	self.mz = numpy.zeros(length)
247
248	self._check_data_length(length)
249	self.remove_null_points(False, False)
250	mask = numpy.ones(len(self.sld_n), dtype=bool)
251	if shape.lower() == 'ellipsoid':
252	try:
253	# Pixel (step) size included
254	x_c = max(self.pos_x) + min(self.pos_x)
255	y_c = max(self.pos_y) + min(self.pos_y)
256	z_c = max(self.pos_z) + min(self.pos_z)
257	x_d = max(self.pos_x) - min(self.pos_x)
258	y_d = max(self.pos_y) - min(self.pos_y)
259	z_d = max(self.pos_z) - min(self.pos_z)
260	x_r = (x_d + omfdata.xstepsize) / 2.0
261	y_r = (y_d + omfdata.ystepsize) / 2.0
262	z_r = (z_d + omfdata.zstepsize) / 2.0
263	x_dir2 = ((self.pos_x - x_c / 2.0) / x_r)
264	x_dir2 *= x_dir2
265	y_dir2 = ((self.pos_y - y_c / 2.0) / y_r)
266	y_dir2 *= y_dir2
267	z_dir2 = ((self.pos_z - z_c / 2.0) / z_r)
268	z_dir2 *= z_dir2
269	mask = (x_dir2 + y_dir2 + z_dir2) <= 1.0
270	except:
271	pass
272	self.output = MagSLD(self.pos_x[mask], self.pos_y[mask],
273	self.pos_z[mask], self.sld_n[mask],
274	self.mx[mask], self.my[mask], self.mz[mask])
275	self.output.set_pix_type('pixel')
276	self.output.set_pixel_symbols('pixel')
277
278	def get_omfdata(self):
279	"""
280	Return all data
281	"""
282	return self.omfdata
283
284	def get_output(self):
285	"""
286	Return output
287	"""
288	return self.output
289
290	def _check_data_length(self, length):
291	"""
292	Check if the data lengths are consistent
293	:Params length: data length
294	"""
295	msg = "Error: Inconsistent data length."
296	if len(self.pos_x) != length:
297	raise ValueError, msg
298	if len(self.pos_y) != length:
299	raise ValueError, msg
300	if len(self.pos_z) != length:
301	raise ValueError, msg
302	if len(self.mx) != length:
303	raise ValueError, msg
304	if len(self.my) != length:
305	raise ValueError, msg
306	if len(self.mz) != length:
307	raise ValueError, msg
308
309	def remove_null_points(self, remove=False, recenter=False):
310	"""
311	Removes any mx, my, and mz = 0 points
312	"""
313	if remove:
314	is_nonzero = (numpy.fabs(self.mx) + numpy.fabs(self.my) +
315	numpy.fabs(self.mz)).nonzero()
316	if len(is_nonzero[0]) > 0:
317	self.pos_x = self.pos_x[is_nonzero]
318	self.pos_y = self.pos_y[is_nonzero]
319	self.pos_z = self.pos_z[is_nonzero]
320	self.sld_n = self.sld_n[is_nonzero]
321	self.mx = self.mx[is_nonzero]
322	self.my = self.my[is_nonzero]
323	self.mz = self.mz[is_nonzero]
324	if recenter:
325	self.pos_x -= (min(self.pos_x) + max(self.pos_x)) / 2.0
326	self.pos_y -= (min(self.pos_y) + max(self.pos_y)) / 2.0
327	self.pos_z -= (min(self.pos_z) + max(self.pos_z)) / 2.0
328
329	def get_magsld(self):
330	"""
331	return MagSLD
332	"""
333	return self.output
334
335
336	class OMFReader:
337	"""
338	Class to load omf/ascii files (3 columns w/header).
339	"""
340	## File type
341	type_name = "OMF ASCII"
342
343	## Wildcards
344	type = ["OMF files (.OMF, .omf)\|*.omf"]
345	## List of allowed extensions
346	ext = ['.omf', '.OMF']
347
348	def read(self, path):
349	"""
350	Load data file
351	:param path: file path
352	:return: x, y, z, sld_n, sld_mx, sld_my, sld_mz
353	"""
354	#data_conv_m = None
355	desc = ""
356	mx = numpy.zeros(0)
357	my = numpy.zeros(0)
358	mz = numpy.zeros(0)
359	try:
360	data_conv_val = None
361	data_conv_mesh = None
362	input_f = open(path, 'rb')
363	buff = input_f.read()
364	lines = buff.split('\n')
365	input_f.close()
366	output = OMFData()
367	valueunit = None
368	for line in lines:
369	toks = line.split()
370	# Read data
371	try:
372	_mx = float(toks[0])
373	_my = float(toks[1])
374	_mz = float(toks[2])
375	_mx = mag2sld(_mx, valueunit)
376	_my = mag2sld(_my, valueunit)
377	_mz = mag2sld(_mz, valueunit)
378	mx = numpy.append(mx, _mx)
379	my = numpy.append(my, _my)
380	mz = numpy.append(mz, _mz)
381	except:
382	# Skip non-data lines
383	pass
384	#Reading Header; Segment count ignored
385	s_line = line.split(":", 1)
386	if s_line[0].lower().count("oommf") > 0:
387	oommf = s_line[1].lstrip()
388	if s_line[0].lower().count("title") > 0:
389	title = s_line[1].lstrip()
390	if s_line[0].lower().count("desc") > 0:
391	desc += s_line[1].lstrip()
392	desc += '\n'
393	if s_line[0].lower().count("meshtype") > 0:
394	meshtype = s_line[1].lstrip()
395	if s_line[0].lower().count("meshunit") > 0:
396	meshunit = s_line[1].lstrip()
397	if meshunit.count("m") < 1:
398	msg = "Error: \n"
399	msg += "We accept only m as meshunit"
400	raise ValueError, msg
401	if s_line[0].lower().count("xbase") > 0:
402	xbase = s_line[1].lstrip()
403	if s_line[0].lower().count("ybase") > 0:
404	ybase = s_line[1].lstrip()
405	if s_line[0].lower().count("zbase") > 0:
406	zbase = s_line[1].lstrip()
407	if s_line[0].lower().count("xstepsize") > 0:
408	xstepsize = s_line[1].lstrip()
409	if s_line[0].lower().count("ystepsize") > 0:
410	ystepsize = s_line[1].lstrip()
411	if s_line[0].lower().count("zstepsize") > 0:
412	zstepsize = s_line[1].lstrip()
413	if s_line[0].lower().count("xnodes") > 0:
414	xnodes = s_line[1].lstrip()
415	if s_line[0].lower().count("ynodes") > 0:
416	ynodes = s_line[1].lstrip()
417	if s_line[0].lower().count("znodes") > 0:
418	znodes = s_line[1].lstrip()
419	if s_line[0].lower().count("xmin") > 0:
420	xmin = s_line[1].lstrip()
421	if s_line[0].lower().count("ymin") > 0:
422	ymin = s_line[1].lstrip()
423	if s_line[0].lower().count("zmin") > 0:
424	zmin = s_line[1].lstrip()
425	if s_line[0].lower().count("xmax") > 0:
426	xmax = s_line[1].lstrip()
427	if s_line[0].lower().count("ymax") > 0:
428	ymax = s_line[1].lstrip()
429	if s_line[0].lower().count("zmax") > 0:
430	zmax = s_line[1].lstrip()
431	if s_line[0].lower().count("valueunit") > 0:
432	valueunit = s_line[1].lstrip().rstrip()
433	if s_line[0].lower().count("valuemultiplier") > 0:
434	valuemultiplier = s_line[1].lstrip()
435	if s_line[0].lower().count("valuerangeminmag") > 0:
436	valuerangeminmag = s_line[1].lstrip()
437	if s_line[0].lower().count("valuerangemaxmag") > 0:
438	valuerangemaxmag = s_line[1].lstrip()
439	if s_line[0].lower().count("end") > 0:
440	#output.set_sldms(mx, my, mz)
441	output.filename = os.path.basename(path)
442	output.oommf = oommf
443	output.title = title
444	output.desc = desc
445	output.meshtype = meshtype
446	output.xbase = float(xbase) * METER2ANG
447	output.ybase = float(ybase) * METER2ANG
448	output.zbase = float(zbase) * METER2ANG
449	output.xstepsize = float(xstepsize) * METER2ANG
450	output.ystepsize = float(ystepsize) * METER2ANG
451	output.zstepsize = float(zstepsize) * METER2ANG
452	output.xnodes = float(xnodes)
453	output.ynodes = float(ynodes)
454	output.znodes = float(znodes)
455	output.xmin = float(xmin) * METER2ANG
456	output.ymin = float(ymin) * METER2ANG
457	output.zmin = float(zmin) * METER2ANG
458	output.xmax = float(xmax) * METER2ANG
459	output.ymax = float(ymax) * METER2ANG
460	output.zmax = float(zmax) * METER2ANG
461	output.valuemultiplier = valuemultiplier
462	output.valuerangeminmag = mag2sld(float(valuerangeminmag), \
463	valueunit)
464	output.valuerangemaxmag = mag2sld(float(valuerangemaxmag), \
465	valueunit)
466	output.set_m(mx, my, mz)
467	return output
468	except:
469	msg = "%s is not supported: \n" % path
470	msg += "We accept only Text format OMF file."
471	raise RuntimeError, msg
472
473	class PDBReader:
474	"""
475	PDB reader class: limited for reading the lines starting with 'ATOM'
476	"""
477	type_name = "PDB"
478	## Wildcards
479	type = ["pdb files (.PDB, .pdb)\|*.pdb"]
480	## List of allowed extensions
481	ext = ['.pdb', '.PDB']
482
483	def read(self, path):
484	"""
485	Load data file
486
487	:param path: file path
488
489	:return: MagSLD
490
491	:raise RuntimeError: when the file can't be opened
492	"""
493	pos_x = numpy.zeros(0)
494	pos_y = numpy.zeros(0)
495	pos_z = numpy.zeros(0)
496	sld_n = numpy.zeros(0)
497	sld_mx = numpy.zeros(0)
498	sld_my = numpy.zeros(0)
499	sld_mz = numpy.zeros(0)
500	vol_pix = numpy.zeros(0)
501	pix_symbol = numpy.zeros(0)
502	try:
503	input_f = open(path, 'rb')
504	buff = input_f.read()
505	lines = buff.split('\n')
506	input_f.close()
507	for line in lines:
508	try:
509	#toks = line.split()
510	# check if line starts with "ATOM"
511	if line[0:6].strip().count('ATM') > 0 or \
512	line[0:6].strip() == 'ATOM':
513	# define fields of interest
514	atom_id = line[6:11].strip()
515	atom_name = line[12:16].strip()
516	try:
517	float(line[12])
518	atom_name = atom_name[1].upper()
519	except:
520	if len(atom_name) == 4:
521	atom_name = atom_name[0].upper()
522	elif line[12] != ' ':
523	atom_name = atom_name[0].upper() + \
524	atom_name[1].lower()
525	else:
526	atom_name = atom_name[0].upper()
527	#res_name = line[17:20].strip()
528	#chain_name = line[21:22].strip()
529	_pos_x = float(line[30:38].strip())
530	_pos_y = float(line[38:46].strip())
531	_pos_z = float(line[46:54].strip())
532
533	pos_x = numpy.append(pos_x, _pos_x)
534	pos_y = numpy.append(pos_y, _pos_y)
535	pos_z = numpy.append(pos_z, _pos_z)
536	try:
537	# sld in Ang unit (from fm)
538	#val = formula(atom_name).atoms.keys()[0].neutron.b_c
539	#val *= 1.0e-5
540	val = nsf.neutron_sld(atom_name)[0]
541	# sld in Ang^-2 unit
542	val *= 1.0e-6
543	sld_n = numpy.append(sld_n, val)
544	atom = formula(atom_name)
545	# cm to A units
546	vol = 1.0e+24 * atom.mass / atom.density / NA
547	vol_pix = numpy.append(vol_pix, vol)
548	except:
549	print "Error: set the sld of %s to zero"% atom_name
550	sld_n = numpy.append(sld_n, 0.0)
551	sld_mx = numpy.append(sld_mx, 0)
552	sld_my = numpy.append(sld_my, 0)
553	sld_mz = numpy.append(sld_mz, 0)
554	pix_symbol = numpy.append(pix_symbol, atom_name)
555	except:
556	pass
557	#re-centering
558	#pos_x -= (min(pos_x) + max(pos_x)) / 2.0
559	#pos_y -= (min(pos_y) + max(pos_y)) / 2.0
560	#pos_z -= (min(pos_z) + max(pos_z)) / 2.0
561
562	output = MagSLD(pos_x, pos_y, pos_z, sld_n, sld_mx, sld_my, sld_mz)
563	output.filename = os.path.basename(path)
564	output.set_pix_type('atom')
565	output.set_pixel_symbols(pix_symbol)
566	output.set_nodes()
567	output.set_pixel_volumes(vol_pix)
568	output.sld_unit = '1/A^(2)'
569	return output
570	except:
571	RuntimeError, "%s is not a sld file" % path
572
573	def write(self, path, data):
574	"""
575	Write
576	"""
577	#Not implemented
578	print "Not implemented... "
579
580	class SLDReader:
581	"""
582	Class to load ascii files (7 columns).
583	"""
584	## File type
585	type_name = "SLD ASCII"
586
587	## Wildcards
588	type = ["sld files (.SLD, .sld)\|*.sld",
589	"txt files (.TXT, .txt)\|*.txt"]
590	## List of allowed extensions
591	ext = ['.txt', '.TXT', '.sld', 'SLD', '.*']
592
593	def read(self, path):
594	"""
595	Load data file
596
597	:param path: file path
598
599	:return MagSLD: x, y, z, sld_n, sld_mx, sld_my, sld_mz
600
601	:raise RuntimeError: when the file can't be opened
602	:raise ValueError: when the length of the data vectors are inconsistent
603	"""
604	try:
605	pos_x = numpy.zeros(0)
606	pos_y = numpy.zeros(0)
607	pos_z = numpy.zeros(0)
608	sld_n = numpy.zeros(0)
609	sld_mx = numpy.zeros(0)
610	sld_my = numpy.zeros(0)
611	sld_mz = numpy.zeros(0)
612	try:
613	# Use numpy to speed up loading
614	input_f = numpy.loadtxt(path, dtype='float', skiprows=1,
615	ndmin=1, unpack=True)
616	pos_x = numpy.array(input_f[0])
617	pos_y = numpy.array(input_f[1])
618	pos_z = numpy.array(input_f[2])
619	sld_n = numpy.array(input_f[3])
620	sld_mx = numpy.array(input_f[4])
621	sld_my = numpy.array(input_f[5])
622	sld_mz = numpy.array(input_f[6])
623	ncols = len(input_f)
624	if ncols == 8:
625	vol_pix = numpy.array(input_f[7])
626	elif ncols == 7:
627	vol_pix = None
628	except:
629	# For older version of numpy
630	input_f = open(path, 'rb')
631	buff = input_f.read()
632	lines = buff.split('\n')
633	input_f.close()
634	for line in lines:
635	toks = line.split()
636	try:
637	_pos_x = float(toks[0])
638	_pos_y = float(toks[1])
639	_pos_z = float(toks[2])
640	_sld_n = float(toks[3])
641	_sld_mx = float(toks[4])
642	_sld_my = float(toks[5])
643	_sld_mz = float(toks[6])
644
645	pos_x = numpy.append(pos_x, _pos_x)
646	pos_y = numpy.append(pos_y, _pos_y)
647	pos_z = numpy.append(pos_z, _pos_z)
648	sld_n = numpy.append(sld_n, _sld_n)
649	sld_mx = numpy.append(sld_mx, _sld_mx)
650	sld_my = numpy.append(sld_my, _sld_my)
651	sld_mz = numpy.append(sld_mz, _sld_mz)
652	try:
653	_vol_pix = float(toks[7])
654	vol_pix = numpy.append(vol_pix, _vol_pix)
655	except:
656	vol_pix = None
657	except:
658	# Skip non-data lines
659	pass
660
661	# re-center
662	#pos_x -= (min(pos_x) + max(pos_x)) / 2.0
663	#pos_y -= (min(pos_y) + max(pos_y)) / 2.0
664	#pos_z -= (min(pos_z) + max(pos_z)) / 2.0
665
666	output = MagSLD(pos_x, pos_y, pos_z, sld_n,
667	sld_mx, sld_my, sld_mz)
668
669	output.filename = os.path.basename(path)
670	output.set_pix_type('pixel')
671	output.set_pixel_symbols('pixel')
672	if vol_pix != None:
673	output.set_pixel_volumes(vol_pix)
674	return output
675	except:
676	RuntimeError, "%s is not a sld file" % path
677
678	def write(self, path, data):
679	"""
680	Write sld file
681
682	:Param path: file path
683	:Param data: MagSLD data object
684	"""
685	if path == None:
686	raise ValueError, "Missing the file path."
687	if data == None:
688	raise ValueError, "Missing the data to save."
689
690	x_val = data.pos_x
691	y_val = data.pos_y
692	z_val = data.pos_z
693	vol_pix = data.vol_pix
694
695	length = len(x_val)
696
697	sld_n = data.sld_n
698	if sld_n == None:
699	sld_n = numpy.zerros(length)
700
701	sld_mx = data.sld_mx
702	if sld_mx == None:
703	sld_mx = numpy.zerros(length)
704	sld_my = numpy.zerros(length)
705	sld_mz = numpy.zerros(length)
706	else:
707	sld_my = data.sld_my
708	sld_mz = data.sld_mz
709
710	out = open(path, 'w')
711	# First Line: Column names
712	out.write("X Y Z SLDN SLDMx SLDMy SLDMz VOLUMEpix")
713	for ind in range(length):
714	out.write("\n%g %g %g %g %g %g %g %g" % (x_val[ind], y_val[ind],
715	z_val[ind], sld_n[ind],
716	sld_mx[ind], sld_my[ind],
717	sld_mz[ind], vol_pix[ind]))
718	out.close()
719
720
721	class OMFData:
722	"""
723	OMF Data.
724	"""
725	_meshunit = "A"
726	_valueunit = "A^(-2)"
727	def __init__(self):
728	"""
729	Init for mag SLD
730	"""
731	self.filename = 'default'
732	self.oommf = ''
733	self.title = ''
734	self.desc = ''
735	self.meshtype = ''
736	self.meshunit = self._meshunit
737	self.valueunit = self._valueunit
738	self.xbase = 0.0
739	self.ybase = 0.0
740	self.zbase = 0.0
741	self.xstepsize = 6.0
742	self.ystepsize = 6.0
743	self.zstepsize = 6.0
744	self.xnodes = 10.0
745	self.ynodes = 10.0
746	self.znodes = 10.0
747	self.xmin = 0.0
748	self.ymin = 0.0
749	self.zmin = 0.0
750	self.xmax = 60.0
751	self.ymax = 60.0
752	self.zmax = 60.0
753	self.mx = None
754	self.my = None
755	self.mz = None
756	self.valuemultiplier = 1.
757	self.valuerangeminmag = 0
758	self.valuerangemaxmag = 0
759
760	def __str__(self):
761	"""
762	doc strings
763	"""
764	_str = "Type: %s\n" % self.__class__.__name__
765	_str += "File: %s\n" % self.filename
766	_str += "OOMMF: %s\n" % self.oommf
767	_str += "Title: %s\n" % self.title
768	_str += "Desc: %s\n" % self.desc
769	_str += "meshtype: %s\n" % self.meshtype
770	_str += "meshunit: %s\n" % str(self.meshunit)
771	_str += "xbase: %s [%s]\n" % (str(self.xbase), self.meshunit)
772	_str += "ybase: %s [%s]\n" % (str(self.ybase), self.meshunit)
773	_str += "zbase: %s [%s]\n" % (str(self.zbase), self.meshunit)
774	_str += "xstepsize: %s [%s]\n" % (str(self.xstepsize),
775	self.meshunit)
776	_str += "ystepsize: %s [%s]\n" % (str(self.ystepsize),
777	self.meshunit)
778	_str += "zstepsize: %s [%s]\n" % (str(self.zstepsize),
779	self.meshunit)
780	_str += "xnodes: %s\n" % str(self.xnodes)
781	_str += "ynodes: %s\n" % str(self.ynodes)
782	_str += "znodes: %s\n" % str(self.znodes)
783	_str += "xmin: %s [%s]\n" % (str(self.xmin), self.meshunit)
784	_str += "ymin: %s [%s]\n" % (str(self.ymin), self.meshunit)
785	_str += "zmin: %s [%s]\n" % (str(self.zmin), self.meshunit)
786	_str += "xmax: %s [%s]\n" % (str(self.xmax), self.meshunit)
787	_str += "ymax: %s [%s]\n" % (str(self.ymax), self.meshunit)
788	_str += "zmax: %s [%s]\n" % (str(self.zmax), self.meshunit)
789	_str += "valueunit: %s\n" % self.valueunit
790	_str += "valuemultiplier: %s\n" % str(self.valuemultiplier)
791	_str += "ValueRangeMinMag:%s [%s]\n" % (str(self.valuerangeminmag),
792	self.valueunit)
793	_str += "ValueRangeMaxMag:%s [%s]\n" % (str(self.valuerangemaxmag),
794	self.valueunit)
795	return _str
796
797	def set_m(self, mx, my, mz):
798	"""
799	Set the Mx, My, Mz values
800	"""
801	self.mx = mx
802	self.my = my
803	self.mz = mz
804
805	class MagSLD:
806	"""
807	Magnetic SLD.
808	"""
809	pos_x = None
810	pos_y = None
811	pos_z = None
812	sld_n = None
813	sld_mx = None
814	sld_my = None
815	sld_mz = None
816	# Units
817	_pos_unit = 'A'
818	_sld_unit = '1/A^(2)'
819	_pix_type = 'pixel'
820
821	def __init__(self, pos_x, pos_y, pos_z, sld_n=None,
822	sld_mx=None, sld_my=None, sld_mz=None, vol_pix=None):
823	"""
824	Init for mag SLD
825	:params : All should be numpy 1D array
826	"""
827	self.is_data = True
828	self.filename = ''
829	self.xstepsize = 6.0
830	self.ystepsize = 6.0
831	self.zstepsize = 6.0
832	self.xnodes = 10.0
833	self.ynodes = 10.0
834	self.znodes = 10.0
835	self.has_stepsize = False
836	self.pos_unit = self._pos_unit
837	self.sld_unit = self._sld_unit
838	self.pix_type = 'pixel'
839	self.pos_x = pos_x
840	self.pos_y = pos_y
841	self.pos_z = pos_z
842	self.sld_n = sld_n
843	self.sld_mx = sld_mx
844	self.sld_my = sld_my
845	self.sld_mz = sld_mz
846	self.vol_pix = vol_pix
847	self.sld_m = None
848	self.sld_phi = None
849	self.sld_theta = None
850	self.pix_symbol = None
851	if sld_mx != None and sld_my != None and sld_mz != None:
852	self.set_sldms(sld_mx, sld_my, sld_mz)
853	self.set_nodes()
854
855	def __str__(self):
856	"""
857	doc strings
858	"""
859	_str = "Type: %s\n" % self.__class__.__name__
860	_str += "File: %s\n" % self.filename
861	_str += "Axis_unit: %s\n" % self.pos_unit
862	_str += "SLD_unit: %s\n" % self.sld_unit
863	return _str
864
865	def set_pix_type(self, pix_type):
866	"""
867	Set pixel type
868	:Param pix_type: string, 'pixel' or 'atom'
869	"""
870	self.pix_type = pix_type
871
872	def set_sldn(self, sld_n):
873	"""
874	Sets neutron SLD
875	"""
876	if sld_n.__class__.__name__ == 'float':
877	if self.is_data:
878	# For data, put the value to only the pixels w non-zero M
879	is_nonzero = (numpy.fabs(self.sld_mx) +
880	numpy.fabs(self.sld_my) +
881	numpy.fabs(self.sld_mz)).nonzero()
882	self.sld_n = numpy.zeros(len(self.pos_x))
883	if len(self.sld_n[is_nonzero]) > 0:
884	self.sld_n[is_nonzero] = sld_n
885	else:
886	self.sld_n.fill(sld_n)
887	else:
888	# For non-data, put the value to all the pixels
889	self.sld_n = numpy.ones(len(self.pos_x)) * sld_n
890	else:
891	self.sld_n = sld_n
892
893	def set_sldms(self, sld_mx, sld_my, sld_mz):
894	"""
895	Sets (\|m\|, m_theta, m_phi)
896	"""
897	if sld_mx.__class__.__name__ == 'float':
898	self.sld_mx = numpy.ones(len(self.pos_x)) * sld_mx
899	else:
900	self.sld_mx = sld_mx
901	if sld_my.__class__.__name__ == 'float':
902	self.sld_my = numpy.ones(len(self.pos_x)) * sld_my
903	else:
904	self.sld_my = sld_my
905	if sld_mz.__class__.__name__ == 'float':
906	self.sld_mz = numpy.ones(len(self.pos_x)) * sld_mz
907	else:
908	self.sld_mz = sld_mz
909
910	sld_m = numpy.sqrt(sld_mx * sld_mx + sld_my * sld_my + \
911	sld_mz * sld_mz)
912	self.sld_m = sld_m
913
914	def set_pixel_symbols(self, symbol='pixel'):
915	"""
916	Set pixel
917	:Params pixel: str; pixel or atomic symbol, or array of strings
918	"""
919	if self.sld_n == None:
920	return
921	if symbol.__class__.__name__ == 'str':
922	self.pix_symbol = numpy.repeat(symbol, len(self.sld_n))
923	else:
924	self.pix_symbol = symbol
925
926	def set_pixel_volumes(self, vol):
927	"""
928	Set pixel volumes
929	:Params pixel: str; pixel or atomic symbol, or array of strings
930	"""
931	if self.sld_n == None:
932	return
933	if vol.__class__.__name__ == 'ndarray':
934	self.vol_pix = vol
935	elif vol.__class__.__name__.count('float') > 0:
936	self.vol_pix = numpy.repeat(vol, len(self.sld_n))
937	else:
938	self.vol_pix = None
939
940	def get_sldn(self):
941	"""
942	Returns nuclear sld
943	"""
944	return self.sld_n
945
946	def get_sld_mxyz(self):
947	"""
948	Returns (sld_mx, sldmy, sld_mz)
949	"""
950	return (self.sld_mx, self.sldmy, self.sld_mz)
951
952	def get_sld_m(self):
953	"""
954	Returns (sldm, sld_theta, sld_phi)
955	"""
956	return (self.sldm, self.sld_theta, self.sld_phi)
957
958	def set_nodes(self):
959	"""
960	Set xnodes, ynodes, and znodes
961	"""
962	self.set_stepsize()
963	if self.pix_type == 'pixel':
964	try:
965	xdist = (max(self.pos_x) - min(self.pos_x)) / self.xstepsize
966	ydist = (max(self.pos_y) - min(self.pos_y)) / self.ystepsize
967	zdist = (max(self.pos_z) - min(self.pos_z)) / self.zstepsize
968	self.xnodes = int(xdist) + 1
969	self.ynodes = int(ydist) + 1
970	self.znodes = int(zdist) + 1
971	except:
972	self.xnodes = None
973	self.ynodes = None
974	self.znodes = None
975	else:
976	self.xnodes = None
977	self.ynodes = None
978	self.znodes = None
979
980	def set_stepsize(self):
981	"""
982	Set xtepsize, ystepsize, and zstepsize
983	"""
984	if self.pix_type == 'pixel':
985	try:
986	xpos_pre = self.pos_x[0]
987	ypos_pre = self.pos_y[0]
988	zpos_pre = self.pos_z[0]
989	for x_pos in self.pos_x:
990	if xpos_pre != x_pos:
991	self.xstepsize = numpy.fabs(x_pos - xpos_pre)
992	break
993	for y_pos in self.pos_y:
994	if ypos_pre != y_pos:
995	self.ystepsize = numpy.fabs(y_pos - ypos_pre)
996	break
997	for z_pos in self.pos_z:
998	if zpos_pre != z_pos:
999	self.zstepsize = numpy.fabs(z_pos - zpos_pre)
1000	break
1001	#default pix volume
1002	self.vol_pix = numpy.ones(len(self.pos_x))
1003	vol = self.xstepsize * self.ystepsize * self.zstepsize
1004	self.set_pixel_volumes(vol)
1005	self.has_stepsize = True
1006	except:
1007	self.xstepsize = None
1008	self.ystepsize = None
1009	self.zstepsize = None
1010	self.vol_pix = None
1011	self.has_stepsize = False
1012	else:
1013	self.xstepsize = None
1014	self.ystepsize = None
1015	self.zstepsize = None
1016	self.has_stepsize = True
1017	return self.xstepsize, self.ystepsize, self.zstepsize
1018
1019
1020	def test_load():
1021	from danse.common.plottools.arrow3d import Arrow3D
1022	import os
1023	dir = os.path.abspath(os.path.curdir)
1024	print dir
1025	for i in range(6):
1026	dir, _ = os.path.split(dir)
1027	tfile = os.path.join(dir, "test", "CoreXY_ShellZ.txt")
1028	ofile = os.path.join(dir, "test", "A_Raw_Example-1.omf")
1029	if os.path.isfile(tfile):
1030	tfpath = tfile
1031	ofpath = ofile
1032	break
1033	reader = SLDReader()
1034	oreader = OMFReader()
1035	output = reader.read(tfpath)
1036	ooutput = oreader.read(ofpath)
1037	foutput = OMF2SLD()
1038	foutput.set_data(ooutput)
1039
1040	import matplotlib.pyplot as plt
1041	from mpl_toolkits.mplot3d import Axes3D
1042	fig = plt.figure()
1043	ax = fig.gca(projection='3d')
1044	ax.plot(output.pos_x, output.pos_y, output.pos_z, '.', c="g",
1045	alpha = 0.7, markeredgecolor='gray',rasterized=True)
1046	gap = 7
1047	max_mx = max(output.sld_mx)
1048	max_my = max(output.sld_my)
1049	max_mz = max(output.sld_mz)
1050	max_m = max(max_mx,max_my,max_mz)
1051	x2 = output.pos_x+output.sld_mx/max_m * gap
1052	y2 = output.pos_y+output.sld_my/max_m * gap
1053	z2 = output.pos_z+output.sld_mz/max_m * gap
1054	x_arrow = numpy.column_stack((output.pos_x,x2))
1055	y_arrow = numpy.column_stack((output.pos_y,y2))
1056	z_arrow = numpy.column_stack((output.pos_z,z2))
1057	unit_x2 = output.sld_mx / max_m
1058	unit_y2 = output.sld_my / max_m
1059	unit_z2 = output.sld_mz / max_m
1060	color_x = numpy.fabs(unit_x2 * 0.8)
1061	color_y = numpy.fabs(unit_y2 * 0.8)
1062	color_z = numpy.fabs(unit_z2 * 0.8)
1063	colors = numpy.column_stack((color_x, color_y, color_z))
1064	a = Arrow3D(None, x_arrow,y_arrow,z_arrow, colors, mutation_scale=10, lw=1,
1065	arrowstyle="->", color="y", alpha = 0.5)
1066
1067	ax.add_artist(a)
1068	plt.show()
1069
1070	def test():
1071	import os
1072	dir = os.path.abspath(os.path.curdir)
1073	for i in range(3):
1074	dir, _ = os.path.split(dir)
1075	#tfile = os.path.join(dir, "test", "C_Example_Converted.txt")
1076	ofile = os.path.join(dir, "test", "A_Raw_Example-1.omf")
1077	if os.path.isfile(ofile):
1078	#tfpath = tfile
1079	ofpath = ofile
1080	break
1081	#reader = SLDReader()
1082	oreader = OMFReader()
1083	#output = reader.read(tfpath)
1084	ooutput = oreader.read(ofpath)
1085	foutput = OMF2SLD()
1086	foutput.set_data(ooutput)
1087	writer = SLDReader()
1088	writer.write(os.path.join(os.path.dirname(ofpath), "out.txt"),
1089	foutput.output)
1090	model = GenSAS()
1091	model.set_sld_data(foutput.output)
1092	x = numpy.arange(1000)/10000. + 1e-5
1093	y = numpy.arange(1000)/10000. + 1e-5
1094	#z = numpy.arange(1000)/10000. + 1e-5
1095	i = numpy.zeros(1000)
1096	out = model.runXY([x,y,i])
1097
1098	if __name__ == "__main__":
1099	test()
1100	test_load()

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SasView

source: sasview/sanscalculator/src/sans/calculator/sans_gen.py @ afcb052

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