def readSurveyPositions(filename):
# label1, label2, z, x, y
positions = readFile(filename, hasLabels=False, headerLines=1)
label = positions[0]
#id = np.array(map(float, positions[0]))
#id = np.array(map(int, id))
x = np.array(map(float, positions[3]))
y = np.array(map(float, positions[4]))
z = np.array(map(float, positions[2]))
# this is an intentional truncation of the information in the file
# the values of the front and back planes do not make sense together
# arbitrarily pick one of the sets
id = []
id.extend(getCornersSpecial(90))
id.extend(getCornersSpecial(91))
id.extend(getCorners(92))
id.extend(getCorners(93))
id.extend(getCorners(94))
positions = {}
for i, x_i,y_i,z_i in zip(id, x,y,z):
if x_i == 0. and y_i == 0. and z_i == 0:
continue
positions[i] = Vector(x_i, y_i, z_i)
return positions
def addGroup(corners, columns, labels):
# setup the relation between labels and columns
labels_in_col = {}
for column in columns:
labels_in_col[column] = []
for label in labels:
column = label[0]
labels_in_col[column].append(label)
# add the panels
for column in columns:
letter = "ABCDEFGHIJKL".index(column) + 1
col = instr.makeTypeElement("Column%d" % letter)
for label in labels_in_col[column]:
(name, offset) = getBankNameAndOffset(label)
panel_name="panel_v2"
idstepbyrow=y_num2
if label in v3_panels:
panel_name="panel_v3"
idstepbyrow=y_num3
extra_attrs={"idstart":offset, 'idfillbyfirst':'y', 'idstepbyrow':idstepbyrow}
det = instr.makeDetectorElement(panel_name, root=col, extra_attrs=extra_attrs)
try:
corners.rectangle(label, .014).makeLocation(instr, det, name, technique="uv")
except ValueError, e:
print "Failed to generate '" + label \
+ "' from corners. Trying from engineered centers."
detinfo = readFile("PG3_geom.txt")
addCenterRectangle(instr, det, name, detinfo, detinfo["label"].index(label))
def readEngineeringPositions(filename):
positions = readFile(filename, hasLabels=False)
tube = np.array(map(int, positions[0]))
pixel = np.array(map(int, positions[1]))
id = tube*128+pixel
x = -1. * np.array(map(float, positions[6]))
x[x == -0.] = 0.
y = np.array(map(float, positions[5]))
z = np.array(map(float, positions[7]))
positions = {}
for i, x_i,y_i,z_i in zip(id, x,y,z):
positions[i] = Vector(x_i, y_i, z_i)
return positions
def readEngineeringPositions(filename):
positions = readFile(filename, hasLabels=False)
tube = np.fromiter(map(int, positions[0]), dtype=int)
pixel = np.fromiter(map(int, positions[1]), dtype=int)
id = tube * 128 + pixel
x = -1. * np.fromiter(map(float, positions[6]), dtype=float)
x[x == -0.] = 0.
y = np.fromiter(map(float, positions[5]), dtype=float)
z = np.fromiter(map(float, positions[7]), dtype=float)
positions = {}
for i, x_i, y_i, z_i in zip(id, x, y, z):
positions[i] = Vector(x_i, y_i, z_i)
return positions
def readPositionsLeft(filename):
positions = readFile(filename)
x = np.array(map(float, positions['X']))
y = np.array(map(float, positions['Elevation']))
z = np.array(map(float, positions['Z']))
positions['position'] = []
for x_i,y_i,z_i in zip(x,y,z):
positions['position'].append(Vector(x_i, y_i, z_i))
del positions['X']
del positions['Elevation']
del positions['Z']
names = {'D596':79,
'D579':76,
'D261':73,
'D585':70,
'D586':67,
'D573':64,
'D571':61,
'D574':58,
'D225':55,
'D565':52,
'D551':48,
'D594':43}
columnnames = {43:13, 48:14, 52:15, 55:16, 58:17, 61:18, 64:19, 67:20, 70:21, 73:22, 76:23, 79:24}
banks = {}
for i, (det, position) in enumerate(zip(positions['Detector'], positions['position'])):
bank = names[det[:4]]
i = i%4
if i == 0:
three = position
elif i == 1:
four = position
elif i == 2:
one = position
elif i == 3:
two = position
else:
raise ValueError("Inconceivable! i = %d" % i)
if i == 3:
column = 'Column%d' % columnnames[bank]
banks[bank] = (column, Rectangle(four, one, two, three, tolerance_len=0.006))
return banks
def readSurveyPositions(filename):
# label1, label2, z, x, y
positions = readFile(filename, hasLabels=False, headerLines=1)
labels = positions[0]
# NOTE: label2 column is empty on latest survey, so these indices are shifted back one
x = np.fromiter(map(float, positions[2]), dtype=float)
y = np.fromiter(map(float, positions[3]), dtype=float)
z = np.fromiter(map(float, positions[1]), dtype=float)
ids = []
for i in range(0, len(labels), 4):
det = labels[i]
# this assumes the label column is in the format "Det#_[1U,2U,1D,2D]"
[bank, _] = det.split("_")
bank = int(bank.lstrip("Det"))
# mapping between survey points to getCorner indices
# this allows survey measurements to be in any ordering in the file
# getCorners returns in order: LL, UL, UR, LR
mapping = {"1U": 3, "2U": 0, "2D": 1, "1D": 2}
# loop over each measurement for this bank and find the correct
# detector id it corresponds to
corners = getCorners(bank)
for j in range(0, 4):
[b, pos] = labels[i + j].split("_")
b = int(b.lstrip("Det"))
# print("bank {} - {} --> {} ({})".format(b, pos, mapping[pos], corners[mapping[pos]]))
# verify that this bank is the one we are working on
assert (b == bank)
ids.append(corners[mapping[pos]])
positions = {}
for i, x_i, y_i, z_i in zip(ids, x, y, z):
if x_i == 0. and y_i == 0. and z_i == 0:
continue
# subtract off distance to source from z values
positions[i] = Vector(x_i, y_i, z_i - 19.5)
return positions
def readPositionsRight(filename):
positions = readFile(filename)
del positions['Position']
del positions['DetectorNum']
x = np.array(map(float, positions['X']))
y = np.array(map(float, positions['Elevation']))
z = np.array(map(float, positions['Z'])) - 60.
positions['bank'] = np.array(map(int, positions['bank']))
positions['position'] = []
for x_i,y_i,z_i in zip(x,y,z):
positions['position'].append(Vector(x_i, y_i, z_i))
del positions['X']
del positions['Elevation']
del positions['Z']
columnnames = {'SA':1, 'SB':2, 'SC':3, 'SD':4, 'SE':5, 'SF':6,
'SG':7, 'SH':8, 'SI':9, 'SJ':10, 'SK':11, 'SL':12}
banks = {}
for i, (column, row, bank, position) in enumerate(zip(positions['column'], positions['row'], positions['bank'], positions['position'])):
i = i%4
if i == 0:
one = position
elif i == 1:
two = position
elif i == 2:
three = position
elif i == 3:
four = position
else:
raise ValueError("Inconceivable! i = %d" % i)
if i == 3:
column = 'Column%d' % columnnames[column]
banks[int(bank)] = (column, Rectangle(four, one, two, three, tolerance_len=0.006))
return banks
def addGroup(corners, columns, labels):
# setup the relation between labels and columns
labels_in_col = {}
for column in columns:
labels_in_col[column] = []
for label in labels:
column = label[0]
labels_in_col[column].append(label)
# add the panels
for column in columns:
letter = "ABCDEFGHIJKL".index(column) + 1
col = instr.makeTypeElement("Column%d" % letter)
for label in labels_in_col[column]:
(name, offset) = getBankNameAndOffset(label)
panel_name = "panel_v2"
idstepbyrow = y_num2
if label in v3_panels:
panel_name = "panel_v3"
idstepbyrow = y_num3
extra_attrs = {
"idstart": offset,
'idfillbyfirst': 'y',
'idstepbyrow': idstepbyrow
}
det = instr.makeDetectorElement(panel_name,
root=col,
extra_attrs=extra_attrs)
try:
corners.rectangle(label, .014).makeLocation(instr,
det,
name,
technique="uv")
except ValueError, e:
print "Failed to generate '" + label \
+ "' from corners. Trying from engineered centers."
detinfo = readFile("PG3_geom.txt")
addCenterRectangle(instr, det, name, detinfo,
detinfo["label"].index(label))
from helper import MantidGeom
from sns_ncolumn import readFile
try:
geom_input_file = sys.argv[1]
except IndexError:
geom_input_file = "SNS/CNCS/CNCS_geom_2016B.txt"
# Set header information
comment = "Created by Michael Reuter"
# Time needs to be in UTC?
valid_from = "2016-07-14 00:00:00"
# Get geometry information file
inst_name = "CNCS"
detinfo = readFile(geom_input_file)
num_dets = len(detinfo.values()[0])
xml_outfile = inst_name+"_Definition.xml"
det = MantidGeom(inst_name, comment=comment, valid_from=valid_from)
det.addSnsDefaults()
det.addComment("SOURCE AND SAMPLE POSITION")
det.addModerator(-36.262)
det.addSamplePosition()
det.addComment("MONITORS")
det.addMonitors(names=["monitor1", "monitor2", "monitor3"],
distance=["-29.949", "-28.706", "-1.416"])
label = "detectors"
det.addComponent(label, label)
doc_handle = det.makeTypeElement(label)
def __init__(self, filename, L1=0.):
self._detinfo = readFile(filename)
self._L1 = L1
from helper import MantidGeom
from sns_ncolumn import readFile
try:
geom_input_file = sys.argv[1]
except IndexError:
geom_input_file = "SNS/SEQ/SEQ_geom_19890-.txt"
# Set header information
comment = "Created by Michael Reuter"
# Time needs to be in UTC?
valid_from = "2012-04-04 14:15:46"
# Get geometry information file
detinfo = readFile(geom_input_file)
num_dets = len(detinfo.values()[0])
xml_outfile = INST_NAME + "_Definition.xml"
det = MantidGeom(INST_NAME, comment=comment, valid_from=valid_from)
det.addSnsDefaults()
det.addComment("SOURCE AND SAMPLE POSITION")
det.addModerator(-20.0114)
det.addSamplePosition()
det.addComment("CHOPPERS")
det.addChopper("t0-chopper", -10.51)
det.addVerticalAxisT0Chopper("t0-chopper")
det.addChopper("fermi-chopper", -2.00180)
det.addFermiChopper("fermi-chopper")
det.addComment("MONITORS")
det.addMonitors(names=["monitor1", "monitor2"],
def __init__(self, filename, L1=0.):
self._detinfo = readFile(filename)
self._L1 = L1
