help()
elif opt in ("-d", "--dfile"):
fitsin_disk = arg
read_in_disk_parameters = True
elif opt in ("-o", "--ofile"):
plotfileout = arg
# get light curve gradients
grad = ascii.read("gradients.txt")
grad_time = grad['col1'] + 54222.
grad_mag = np.abs(grad['col2'])
# read in or create the ring system tau and radii
print 'Reading in disk parameters from %s' % fitsin_disk
(res, taun_ringsxx, rad_ringsxx, dstar) = exorings.read_ring_fits(fitsin_disk)
# make the radius and projected gradient for the measured gradient points
(ring_disk_fit, grad_disk_fit) = \
exorings.make_ring_grad_line(grad_time, res[0], res[1], res[2], res[3])
# produce fine grained gradient and ring values
samp_t = np.arange(-100, 100, 0.001) + 54222.
(samp_r, samp_g) = exorings.make_ring_grad_line(samp_t, res[0], res[1], res[2],
res[3])
hjd_minr = samp_t[np.argmin(samp_g)]
exorings.print_disk_parameters(res, hjd_minr, samp_r)
# plotting fit of gradients from ellipse curve to J1407 gradients
print 'Orbital radius = %5.2f AU' % a
v = vcirc(Mstar, Mb, a)
if vstar > 0:
v = vstar
print 'manual velocity of star is %.1f km.s-1' % v
print 'Orbital velocity = %5.2f km/s (use option -s to set new velocity)' % (v/1.e3)
dstar = (Rstar * rsol * 2 / v) / 86400.
print 'Primary diameter = %5.2f days' % dstar
if read_in_ring_parameters:
print 'Reading in rings from %s' % fitsin_ring
(resxx, taun_rings, rad_rings, xxxdstar) = exorings.read_ring_fits(fitsin_ring)
else:
print "Starting with new rings...."
rad_rings = np.array([59.0])
taun_rings = np.array([0.0])
rad_rings = np.append(rad_rings, (100.))
taun_rings = np.append(taun_rings, (1000.))
exorings.print_ring_tau(rad_rings, exorings.y_to_tau(taun_rings))
if read_in_disk_parameters:
print 'Reading in disk parameters from %s' % fitsin_disk
(res, taun_ringsxx, rad_ringsxx, dstarxx) = exorings.read_ring_fits(fitsin_disk)
else:
# run minimizer to find best guess values
print 'No disk gradient parameters read in - refitting new ones....'
0]
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print help
sys.exit()
elif opt in ("-r", "--rfile"):
fitsin = arg
elif opt in ("-o", "--ofile"):
plotout = arg
elif opt in ("-s", "--vstar"):
v = np.array(float(arg))
print 'Reading in ring and disk parameters from %s' % fitsin
(res, taun_rings, rad_rings, dstar) = exorings.read_ring_fits(fitsin)
exorings.print_ring_tau(rad_rings, exorings.y_to_tau(taun_rings))
# set up stellar disk
kern = exorings.make_star_limbd(21, 0.8)
# make the radius and projected gradient for the measured gradient points
(ring_disk_fit,
grad_disk_fit) = exorings.ring_grad_line(grad_time, res[0], res[1], res[2],
res[3])
# produce fine grained gradient and ring values
samp_t = np.arange(-100, 100, 0.001) + 54222.
(samp_r, samp_g) = exorings.ring_grad_line(samp_t, res[0], res[1], res[2],
res[3])
print '%s -r <inputfile> -s <velocity in metres per second> -o <outputfile>' % sys.argv[0]
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print help
sys.exit()
elif opt in ("-r", "--rfile"):
fitsin = arg
elif opt in ("-o", "--ofile"):
plotout = arg
elif opt in ("-s", "--vstar"):
v = np.array(float(arg))
print 'Reading in ring and disk parameters from %s' % fitsin
(res, taun_rings, rad_rings, dstar) = exorings.read_ring_fits(fitsin)
exorings.print_ring_tau(rad_rings, exorings.y_to_tau(taun_rings))
# set up stellar disk
kern = exorings.make_star_limbd(21, 0.8)
# make the radius and projected gradient for the measured gradient points
(ring_disk_fit, grad_disk_fit) = exorings.ring_grad_line(grad_time, res[0], res[1], res[2], res[3])
# produce fine grained gradient and ring values
samp_t = np.arange(-100, 100, 0.001) + 54222.
(samp_r, samp_g) = exorings.ring_grad_line(samp_t, res[0], res[1], res[2], res[3])
hjd_minr = samp_t[np.argmin(samp_g)]
# times when there is no photometry
if vstar > 0:
v = vstar
print 'manual velocity of star is %.1f km.s-1' % v
print 'Orbital velocity = %5.2f km/s (use option -s to set new velocity)' % (
v / 1.e3)
dstar = (Rstar * rsol * 2 / v) / 86400.
print 'Primary diameter = %5.2f days' % dstar
if read_in_ring_parameters:
print 'Reading in rings from %s' % fitsin_ring
(resxx, taun_rings, rad_rings,
xxxdstar) = exorings.read_ring_fits(fitsin_ring)
else:
print "Starting with new rings...."
rad_rings = np.array([59.0])
taun_rings = np.array([0.0])
rad_rings = np.append(rad_rings, (100.))
taun_rings = np.append(taun_rings, (1000.))
exorings.print_ring_tau(rad_rings, exorings.y_to_tau(taun_rings))
if read_in_disk_parameters:
print 'Reading in disk parameters from %s' % fitsin_disk
(res, taun_ringsxx, rad_ringsxx,
dstarxx) = exorings.read_ring_fits(fitsin_disk)
else:
# run minimizer to find best guess values
help()
elif opt in ("-d", "--dfile"):
fitsin_disk = arg
read_in_disk_parameters = True
elif opt in ("-o", "--ofile"):
plotfileout = arg
# get light curve gradients
grad = ascii.read("gradients.txt")
grad_time = grad['col1'] + 54222.
grad_mag = np.abs(grad['col2'])
# read in or create the ring system tau and radii
print 'Reading in disk parameters from %s' % fitsin_disk
(res, taun_ringsxx, rad_ringsxx, dstar) = exorings.read_ring_fits(fitsin_disk)
# make the radius and projected gradient for the measured gradient points
(ring_disk_fit, grad_disk_fit) = \
exorings.make_ring_grad_line(grad_time, res[0], res[1], res[2], res[3])
# produce fine grained gradient and ring values
samp_t = np.arange(-100, 100, 0.001) + 54222.
(samp_r, samp_g) = exorings.make_ring_grad_line(samp_t, res[0], res[1], res[2], res[3])
hjd_minr = samp_t[np.argmin(samp_g)]
exorings.print_disk_parameters(res, hjd_minr, samp_r)
# plotting fit of gradients from ellipse curve to J1407 gradients
plt.rc('font', **{'family':'sans-serif', 'sans-serif':['Helvetica']})
