def read_bestprof(proffile):
prof = profdat()
infile = open(proffile)
for line in infile.readlines():
startline = line[:22]
if (startline == "# Epoch_topo = "):
if not (line[22:25] == "N/A"):
profdat.MJD_topo = float(line[22:])
elif (startline == "# Epoch_bary (MJD) = "):
if not (line[22:25] == "N/A"):
profdat.MJD_bary = float(line[22:])
elif (startline == "# T_sample = "):
profdat.dt = float(line[22:])
elif (startline == "# Data Folded = "):
profdat.N = int(line[22:])
elif (startline == "# Profile Bins = "):
profdat.proflen = int(line[22:])
elif (startline == "# Profile Avg = "):
profdat.profavg = float(line[22:])
elif (startline == "# Profile StdDev = "):
profdat.profstd = float(line[22:])
elif (startline == "# P_topo (ms) = "):
if not (line[22:25] == "N/A"):
profdat.p_topo = float(line[22:40]) / 1000.0
profdat.p_topo_err = float(line[43:]) / 1000.0
elif (startline == "# P'_topo (s/s) = "):
if not (line[22:25] == "N/A"):
profdat.pd_topo = float(line[22:40])
profdat.pd_topo_err = float(line[43:])
elif (startline == "# P_bary (ms) = "):
if not (line[22:25] == "N/A"):
profdat.p_bary = float(line[22:40]) / 1000.0
profdat.p_bary_err = float(line[43:]) / 1000.0
elif (startline == "# P'_bary (s/s) = "):
if not (line[22:25] == "N/A"):
profdat.pd_bary = float(line[22:40])
profdat.pd_bary_err = float(line[43:])
elif (startline == "# P_orb (s) = "):
if not (line[22:25] == "N/A"):
profdat.porb = float(line[22:])
elif (startline == "# asin(i)/c (s) = "):
if not (line[22:25] == "N/A"):
profdat.xorb = float(line[22:])
elif (startline == "# eccentricity = "):
if not (line[22:25] == "N/A"):
profdat.eorb = float(line[22:])
elif (startline == "# w (rad) = "):
if not (line[22:25] == "N/A"):
profdat.worb = float(line[22:])
elif (startline == "# T_peri = "):
if not (line[22:25] == "N/A"):
profdat.torb = float(line[22:])
elif (startline == "######################"):
break
infile.close()
profdat.profile = readColumns(proffile, "#")[1]
return profdat
def read_bestprof(proffile):
prof = profdat()
infile = open(proffile)
for line in infile.readlines():
startline = line[:22]
if (startline == "# Epoch_topo = "):
if not (line[22:25] == "N/A"):
profdat.MJD_topo = float(line[22:])
elif (startline == "# Epoch_bary (MJD) = "):
if not (line[22:25] == "N/A"):
profdat.MJD_bary = float(line[22:])
elif (startline == "# T_sample = "):
profdat.dt = float(line[22:])
elif (startline == "# Data Folded = "):
profdat.N = int(line[22:])
elif (startline == "# Profile Bins = "):
profdat.proflen = int(line[22:])
elif (startline == "# Profile Avg = "):
profdat.profavg = float(line[22:])
elif (startline == "# Profile StdDev = "):
profdat.profstd = float(line[22:])
elif (startline == "# P_topo (ms) = "):
if not (line[22:25] == "N/A"):
profdat.p_topo = float(line[22:40])/1000.0
profdat.p_topo_err = float(line[43:])/1000.0
elif (startline == "# P'_topo (s/s) = "):
if not (line[22:25] == "N/A"):
profdat.pd_topo = float(line[22:40])
profdat.pd_topo_err = float(line[43:])
elif (startline == "# P_bary (ms) = "):
if not (line[22:25] == "N/A"):
profdat.p_bary = float(line[22:40])/1000.0
profdat.p_bary_err = float(line[43:])/1000.0
elif (startline == "# P'_bary (s/s) = "):
if not (line[22:25] == "N/A"):
profdat.pd_bary = float(line[22:40])
profdat.pd_bary_err = float(line[43:])
elif (startline == "# P_orb (s) = "):
if not (line[22:25] == "N/A"):
profdat.porb = float(line[22:])
elif (startline == "# asin(i)/c (s) = "):
if not (line[22:25] == "N/A"):
profdat.xorb = float(line[22:])
elif (startline == "# eccentricity = "):
if not (line[22:25] == "N/A"):
profdat.eorb = float(line[22:])
elif (startline == "# w (rad) = "):
if not (line[22:25] == "N/A"):
profdat.worb = float(line[22:])
elif (startline == "# T_peri = "):
if not (line[22:25] == "N/A"):
profdat.torb = float(line[22:])
elif (startline == "######################"):
break
infile.close()
profdat.profile = readColumns(proffile, "#")[1]
return profdat
from TableIO import readColumns
from presto import spectralpower
from periodogram import *
from time import clock
file = 'rosat_crab_3k.toa'
toas = ravel(readColumns(file, '#'))
toas = (toas - toas[0]) * 86400.0
T = toas[-1] - toas[0]
df = 1.0 / (10.0 * T)
p0 = 0.033468239225/2
numf = 100000
lof = 1.0 / p0 - df * numf / 2.0
freqs = arange(numf) * df + lof
beg = clock()
mypows = spectralpower(toafft(toas, len(toas), lof, df, numf))
end = clock()
print ' TOAFFT took ', end-beg, ' sec. (%d freqs/sec)' % (numf/(end-beg))
beg = clock()
pows = periodogram(ones(len(toas), 'd'), toas, len(toas), lof, df, numf)
end = clock()
print 'periodogram took ', end-beg, ' sec. (%d freqs/sec)' % (numf/(end-beg))
def toafft(toas, freqs, days=0):
if days:
toas = (toas - toas[0]) * 86400.0
else:
toas = toas - toas[0]
twid = zeros(len(freqs), 'D')
twid.imag = -2.0 * pi * freqs
