def readStat(self, n):
"""Read detector det statistical data"""
if self.statpos < 0: return None
f = open(self.file, "rb")
f.seek(self.statpos)
f.seek(self.statpos)
if self.nisomers:
nskip = 7 * n
else:
nskip = 6 * n
for i in range(nskip):
fortran.skip(f) # Detector Data
total = fortran.read(f)
A = fortran.read(f)
errA = fortran.read(f)
Z = fortran.read(f)
errZ = fortran.read(f)
data = fortran.read(f)
if self.nisomers:
iso = fortran.read(f)
else:
iso = None
f.close()
return (total, A, errA, Z, errZ, data, iso)
def readStat(self, n):
"""Read detector n statistical data"""
if self.statpos < 0: return None
f = open(self.file, "rb")
f.seek(self.statpos)
for i in range(n):
fortran.skip(f) # Detector Data
data = fortran.read(f)
f.close()
return data
def readData(self, n):
"""Read detector det data structure"""
f = open(self.file, "rb")
fortran.skip(f)
for i in range(n):
fortran.skip(f) # Detector Header
fortran.skip(f) # Detector data
fortran.skip(f) # Detector Header
data = fortran.read(f) # Detector data
f.close()
return data
def readEvent(self, type=None):
# Read header
data = fortran.read(self.hnd)
if data is None: return None
if len(data) == 20:
ndum, mdum, jdum, edum, wdum \
= struct.unpack("=iiiff", data)
else:
raise IOError("Invalid MGREAD file")
self.nevent += 1
if ndum > 0:
if type is None or type == 0:
self.readTracking(ndum, mdum, jdum, edum, wdum)
else:
fortran.skip(self.hnd)
return 0
elif ndum == 0:
if type is None or type == 1:
self.readEnergy(mdum, jdum, edum, wdum)
else:
fortran.skip(self.hnd)
return 1
else:
if type is None or type == 2:
self.readSource(-ndum, mdum, jdum, edum, wdum)
else:
fortran.skip(self.hnd)
return 2
def readHeader(self, filename):
"""Read USRBIN detector information"""
f = Usrxxx.readHeader(self, filename)
for i in range(1000):
# Header
data = fortran.read(f)
if data is None: break
size = len(data)
# Statistics are present?
if size == 14 and data[:10] == "STATISTICS":
self.statpos = f.tell()
break
if size != 86: raise IOError("Invalid USRBIN file")
# Parse header
header = struct.unpack("=i10siiffifffifffififff", data)
bin = Detector()
bin.nb = header[0]
bin.name = header[1].strip()
bin.type = header[2]
bin.score = header[3]
bin.xlow = float(bmath.format(header[4], 9, useD=False))
bin.xhigh = float(bmath.format(header[5], 9, useD=False))
bin.nx = header[6]
if bin.nx > 0 and bin.type not in (2, 12, 8, 18):
bin.dx = (bin.xhigh - bin.xlow) / float(bin.nx)
else:
bin.dx = float(bmath.format(header[7], 9, useD=False))
if bin.type in (1, 11):
bin.ylow = -math.pi
bin.yhigh = math.pi
else:
bin.ylow = float(bmath.format(header[8], 9, useD=False))
bin.yhigh = float(bmath.format(header[9], 9, useD=False))
bin.ny = header[10]
if bin.ny > 0 and bin.type not in (2, 12, 8, 18):
bin.dy = (bin.yhigh - bin.ylow) / float(bin.ny)
else:
bin.dy = float(bmath.format(header[11], 9, useD=False))
bin.zlow = float(bmath.format(header[12], 9, useD=False))
bin.zhigh = float(bmath.format(header[13], 9, useD=False))
bin.nz = header[14]
if bin.nz > 0 and bin.type not in (2, 12): # 8=special with z=real
bin.dz = (bin.zhigh - bin.zlow) / float(bin.nz)
else:
bin.dz = float(bmath.format(header[15], 9, useD=False))
bin.lntzer = header[16]
bin.bk = header[17]
bin.b2 = header[18]
bin.tc = header[19]
self.detector.append(bin)
size = bin.nx * bin.ny * bin.nz * 4
if fortran.skip(f) != size:
raise IOError("Invalid USRBIN file")
f.close()
def readData(self, n):
"""Read detector n data structure"""
f = open(self.file, "rb")
fortran.skip(f)
for i in range(n):
fortran.skip(f) # Detector Header
if self.detector[i].lowneu:
fortran.skip(f) # Detector low enetry neutron groups
fortran.skip(f) # Detector data
fortran.skip(f) # Detector Header
if self.detector[n].lowneu:
fortran.skip(f) # Detector low enetry neutron groups
data = fortran.read(f) # Detector data
f.close()
return data
def readHeader(self, filename):
"""Read boundary crossing detector information"""
f = Usrxxx.readHeader(self, filename)
for i in range(1000):
# Header
data = fortran.read(f)
if data is None: break
size = len(data)
# Statistics are present?
if size == 14:
# In statistics
# 1: total, error
# 2: N,NG,Elow (array with Emaxi)
# 3: Differential integrated over solid angle
# 4: -//- errors
# 5: Cumulative integrated over solid angle
# 6: -//- errors
# 7: Double differential data
self.statpos = f.tell()
for det in self.detector:
data = unpackArray(fortran.read(f))
det.total = data[0]
det.totalerror = data[1]
for j in range(6):
fortran.skip(f)
break
if size != 78: raise IOError("Invalid USRBDX file")
# Parse header
header = struct.unpack("=i10siiiifiiiffifffif", data)
det = Detector()
det.nb = header[0] # mx
det.name = header[1].strip() # titusx
det.type = header[2] # itusbx
det.dist = header[3] # idusbx
det.reg1 = header[4] # nr1usx
det.reg2 = header[5] # nr2usx
det.area = header[6] # ausbdx
det.twoway = header[7] # lwusbx
det.fluence = header[8] # lfusbx
det.lowneu = header[9] # llnusx
det.elow = header[10] # ebxlow
det.ehigh = header[11] # ebxhgh
det.ne = header[12] # nebxbn
det.de = header[13] # debxbn
det.alow = header[14] # abxlow
det.ahigh = header[15] # abxhgh
det.na = header[16] # nabxbn
det.da = header[17] # dabxbn
self.detector.append(det)
if det.lowneu:
data = fortran.read(f)
det.ngroup = struct.unpack("=i", data[:4])[0]
det.egroup = struct.unpack("=%df" % (det.ngroup + 1), data[4:])
else:
det.ngroup = 0
det.egroup = []
size = (det.ngroup + det.ne) * det.na * 4
if size != fortran.skip(f):
raise IOError("Invalid USRBDX file")
f.close()
def readData(self, n):
"""Read detector det data structure"""
f = open(self.file, "rb")
fortran.skip(f)
if self.evol:
fortran.skip(f)
for i in range(n):
fortran.skip(f) # Detector Header & Data
if self.evol:
fortran.skip(f) # TDecay
fortran.skip(f) # Detector data
if self.nisomers:
fortran.skip(f) # Isomers header
fortran.skip(f) # Isomers data
fortran.skip(f) # Detector Header & Data
if self.evol:
fortran.skip(f) # TDecay
data = fortran.read(f) # Detector data
f.close()
return data
def readHeader(self, filename):
"""Read residual nuclei detector information"""
f = Usrxxx.readHeader(self, filename)
self.nisomers = 0
if self.ncase <= 0:
self.evol = True
self.ncase = -self.ncase
data = fortran.read(f)
nir = (len(data) - 4) // 8
self.irrdt = struct.unpack("=i%df" % (2 * nir), data)
else:
self.evol = False
self.irrdt = None
for i in range(1000):
# Header
data = fortran.read(f)
if data is None: break
size = len(data)
self.irrdt = None
# Statistics are present?
if size == 14 and data[:8] == "ISOMERS:":
self.nisomers = struct.unpack("=10xi", data)[0]
data = fortran.read(f)
data = fortran.read(f)
size = len(data)
if size == 14 and data[:10] == "STATISTICS":
self.statpos = f.tell()
break
if size != 38:
raise IOError("Invalid RESNUCLEi file header size=%d" % (size))
# Parse header
header = struct.unpack("=i10siif3i", data)
det = Detector()
det.nb = header[0]
det.name = header[1].strip()
det.type = header[2]
det.region = header[3]
det.volume = header[4]
det.mhigh = header[5]
det.zhigh = header[6]
det.nmzmin = header[7]
self.detector.append(det)
if self.evol:
data = fortran.read(f)
self.tdecay = struct.unpack("=f", data)
else:
self.tdecay = 0.0
size = det.zhigh * det.mhigh * 4
if size != fortran.skip(f):
raise IOError("Invalid RESNUCLEi file")
f.close()