def parse_eph(filenm):
global period, time
suffix = filenm.split(".")[-1]
if suffix == "bestprof":
x = bestprof.bestprof(filenm)
fs = pu.p_to_f(x.p0_bary, x.p1_bary, x.p2_bary)
epoch = x.epochi_bary + x.epochf_bary
T = x.T
elif suffix == "par":
x = parfile.psr_par(filenm)
# Try to see how many freq derivs we have
fs = [x.F0]
for ii in range(1, 20): # hopefully 20 is an upper limit!
attrib = "F%d" % ii
if hasattr(x, attrib):
fs.append(getattr(x, attrib))
else:
break
epoch = x.PEPOCH
T = (x.FINISH - x.START) * 86400.0
else:
print("I don't recognize the file type for", filenm)
sys.exit()
newts = epoch + num.arange(int(T / 10.0 + 0.5), dtype=num.float) / 8640.0
time = num.concatenate((time, newts))
newps = 1.0 / pu.calc_freq(newts, epoch, *fs)
period = num.concatenate((period, newps))
print("%13.7f (%0.1f sec): " % (epoch, T), fs)
def plot_file_panel(in_file, params):
period = []
time = []
if in_file.endswith('.par'):
(epoch, T, fs) = read_par(in_file)
for minute in arange(int(T / 60.0 + 0.5)):
t = minute / 1440.0
time.append(t)
period.append(1.0 / psr_utils.calc_freq(epoch + t, epoch, *fs))
else:
(epoch, T, p0, p1, p2) = read_bestprof(in_file)
for minute in arange(int(T / 60.0 + 0.5)):
t = minute * 60.0
time.append(minute / 1440.0)
period.append(p0 + t * (p1 + 0.5 * t * p2))
print("Plotting: file, epoch, Tobs", in_file, epoch, T)
period = asarray(period)
time = asarray(time)
plot(time, period * 1000.0, 'o')
xlabel('Time (s)')
ylabel('Period (ms)')
title("%.3f" % (epoch, ))
model_time = arange(epoch - 0.1, epoch + max(time) + 0.1, 0.001)
plot(model_time - epoch, doppler_period(params, model_time) * 1000.0, 'r')
pepochs = []
p0s = []
p1s = []
# get the observed periods and times from the .bestprof files
for in_file in in_files:
if in_file.endswith('.par'):
(epoch, T, fs) = read_par(in_file)
if (fs[1] != 0.0):
p0tmp, p1tmp = psr_utils.p_to_f(fs[0], fs[1])
p0s.append(p0tmp)
p1s.append(p1tmp)
pepochs.append(epoch)
for minute in arange(int(T / 60.0 + 0.5)):
t = epoch + minute / 1440.0
time.append(t)
period.append(1.0 / psr_utils.calc_freq(t, epoch, *fs))
else:
(epoch, T, p0, p1, p2) = read_bestprof(in_file)
for minute in arange(int(T / 60.0 + 0.5)):
t = minute * 60.0
time.append(epoch + minute / 1440.0)
period.append(p0 + t * (p1 + 0.5 * t * p2))
if p1 != 0.0:
p0s.append(p0)
p1s.append(p1)
pepochs.append(epoch)
Torb = min(time)
period = asarray(period)
time = asarray(time)
p0s = asarray(p0s)
#
# Calculate the TOAs
#
if t2format:
print("FORMAT 1")
for ii in range(numtoas):
# The .pfd file was generated using -nosearch and a specified
# folding period, p-dot, and p-dotdot (or f, f-dot, and f-dotdot).
if (pcs is None):
# Time at the middle of the interval in question
midtime = fold.epoch + (ii+0.5)*timestep_day
p = 1.0/psr_utils.calc_freq(midtime, fold.epoch, fold.f0, fold.f1, fold.f2)
t0 = psr_utils.calc_t0(midtime, fold.epoch, fold.f0, fold.f1, fold.f2)
t0i= int(t0 + 1e-9)
t0f = t0 - t0i
# The .pfd file was folded using polycos
else:
# Time at the middle of the interval in question
mjdf = fold.epochf + (ii+0.5)*timestep_day
(phs, f0) = pcs.get_phs_and_freq(fold.epochi, mjdf)
phs -= fold.phs0
p = 1.0/f0
if (phs < 0.0): phs += 1.0 # Consistent with pat
t0f = mjdf - phs*p/SECPERDAY
t0i = fold.epochi
for jj in range(numsubbands):
