_color = numpy.random.random((3, len(blazar_list)))
# numpy.random.seed(1)
# _disp = numpy.random.uniform(0.7, 2., len(blazar_list))
plt.figure("Average polarization degree", (11, 8))
_x = numpy.logspace(-13, -7, 100)
for obs_time in [1.0e3, 10.0e3, 100.0e3, 1.0e6]:
_y = 100.0 * mdp_ref * numpy.sqrt(OBS_TIME_REF / obs_time * FLUX_REF / _x)
plt.plot(_x, _y, color=GRID_COLOR, ls="dashed", lw=0.6)
_i = 51
if obs_time is 1.0e3:
_x_text = _x[_i]
_y_text = _y[_i]
plt.text(_x_text, _y_text, "$T_{obs} =$ %d ks" % (obs_time / 1000.0), color=GRID_COLOR, rotation=-43.0, size=14)
_x_text /= 10
plt.xscale("log")
plt.yscale("log")
plt.xlabel("Integral energy flux %.0f-%.0f keV [erg cm$^{-2}$ s$^{-1}$]" % (E_MIN, E_MAX))
plt.ylabel("MDP 99% CL [%]")
for j, blazar in enumerate(blazar_list):
_x_max = blazar["flux_max"]
_x_min = blazar["flux_min"]
_y_max = blazar["p_opt_max"]
_y_min = blazar["p_opt_min"]
plt.plot([_x_min, _x_max, _x_max], [_y_max, _y_max, _y_min], color=_color[:, j], lw=1.5)
_x_text = numpy.sqrt((_x_max) * (_x_min))
if j in mirror_list:
_y_text = 0.88 * _y_max
else:
_y_text = 1.02 * _y_max
def plot(save=False):
"""Plot the stuff in the analysis file.
"""
def draw_time_grid(color='blue'):
"""
"""
times = [3600., 3600. * 24., 3600. * 24. * 7.]
labels = ['1 hour', '1 day', '1 week']
for t, l in zip(times, labels):
plt.axvline(t, linestyle='dashed', color=color)
ymin, ymax = plt.gca().get_ylim()
y = ymin + 1.05 * (ymax - ymin)
plt.text(t, y, l, ha='center', color=color)
sim_label = 'XIPE'
mod_label = 'Input model'
lc_label = 'Light curve'
_time, _time_errp, _time_errm, _pol_deg, _pol_deg_err, _pol_angle,\
_pol_angle_err, _index, _index_err, _norm,\
_norm_err = numpy.loadtxt(ANALYSIS_FILE_PATH, unpack=True)
logger.info(_time)
logger.info((_time_errp + _time_errm) / 3600.)
_pol_angle = numpy.degrees(_pol_angle)
_pol_angle_err = numpy.degrees(_pol_angle_err)
plt.figure('Polarization degree')
pol_degree_spline.plot(show=False, label=mod_label, logx=True)
plt.errorbar(_time,
_pol_deg,
xerr=[_time_errm, _time_errp],
yerr=_pol_deg_err,
fmt='o',
label=sim_label)
plt.axis([100., 1e6, 0., 0.6])
plt.legend(bbox_to_anchor=(0.4, 0.95))
draw_time_grid()
if save:
save_current_figure('grb130427_swift_polarization_degree',
OUTPUT_FOLDER, False)
plt.figure('Polarization angle')
_x = pol_degree_spline.x
_y = numpy.full(len(_x), polarization_angle(_x, None, None, None))
_y = numpy.degrees(_y)
fmt = dict(xname='Time',
xunits='s',
yname='Polarization angle',
yunits=r'$^\circ$')
_s = xInterpolatedUnivariateSpline(_x, _y, **fmt)
_s.plot(logx=True, show=False, label=mod_label)
plt.errorbar(_time,
_pol_angle,
xerr=[_time_errm, _time_errp],
yerr=_pol_angle_err,
fmt='o',
label=sim_label)
plt.axis([100., 1e6, None, None])
plt.legend(bbox_to_anchor=(0.4, 0.95))
draw_time_grid()
if save:
save_current_figure('grb130427_swift_polarization_angle',
OUTPUT_FOLDER, False)
plt.figure('PL index')
_y = numpy.full(len(_x), PL_INDEX)
fmt = dict(xname='Time', xunits='s', yname='PL index')
_s = xInterpolatedUnivariateSpline(_x, _y, **fmt)
_s.plot(logx=True, show=False, label=mod_label)
plt.errorbar(_time,
_index,
xerr=[_time_errm, _time_errp],
yerr=_index_err,
fmt='o',
label=sim_label)
plt.axis([100., 1e6, None, None])
plt.legend(bbox_to_anchor=(0.4, 0.95))
draw_time_grid()
if save:
save_current_figure('grb130427_swift_pl_index', OUTPUT_FOLDER, False)
#plt.figure('PL normalization')
#plt.errorbar(_time, _norm, xerr=[_time_errm, _time_errp], yerr=_norm_err,
# fmt='o', label=sim_label)
#pl_normalization_spline.plot(show=False, label=mod_label)
#plt.axis([100., 1e6, None, None])
#plt.legend(bbox_to_anchor=(0.4, 0.95))
#draw_time_grid()
#if save:
# save_current_figure('grb130427_swift_pl_norm', OUTPUT_FOLDER, False)
plt.figure('Light curve')
lc = xBinnedLightCurve(_lc_file_path())
lc.plot(show=False)
# This should be implemented in the binned LC class.
plt.xscale('log')
plt.yscale('log')
plt.axis([100., 1e6, None, None])
draw_time_grid()
if save:
save_current_figure('grb130427_swift_lc', OUTPUT_FOLDER, False)
plt.show()
def plot(save=False):
"""Plot the stuff in the analysis file.
"""
def draw_time_grid(color='blue'):
"""
"""
times = [3600., 3600.*24., 3600.*24.*7.]
labels = ['1 hour', '1 day', '1 week']
for t, l in zip(times, labels):
plt.axvline(t, linestyle='dashed', color=color)
ymin, ymax = plt.gca().get_ylim()
y = ymin + 1.05*(ymax - ymin)
plt.text(t, y, l, ha='center', color=color)
sim_label = 'XIPE'
mod_label = 'Input model'
lc_label = 'Light curve'
_time, _time_errp, _time_errm, _pol_deg, _pol_deg_err, _pol_angle,\
_pol_angle_err, _index, _index_err, _norm,\
_norm_err = numpy.loadtxt(ANALYSIS_FILE_PATH, unpack=True)
logger.info(_time)
logger.info((_time_errp + _time_errm)/3600.)
_pol_angle = numpy.degrees(_pol_angle)
_pol_angle_err = numpy.degrees(_pol_angle_err)
plt.figure('Polarization degree')
pol_degree_spline.plot(show=False, label=mod_label, logx=True)
plt.errorbar(_time, _pol_deg, xerr=[_time_errm, _time_errp],
yerr=_pol_deg_err, fmt='o', label=sim_label)
plt.axis([100., 1e6, 0., 0.6])
plt.legend(bbox_to_anchor=(0.4, 0.95))
draw_time_grid()
if save:
save_current_figure('grb130427_swift_polarization_degree',
OUTPUT_FOLDER, False)
plt.figure('Polarization angle')
_x = pol_degree_spline.x
_y = numpy.full(len(_x), polarization_angle(_x, None, None, None))
_y = numpy.degrees(_y)
fmt = dict(xname='Time', xunits='s', yname='Polarization angle',
yunits=r'$^\circ$')
_s = xInterpolatedUnivariateSpline(_x, _y, **fmt)
_s.plot(logx=True, show=False, label=mod_label)
plt.errorbar(_time, _pol_angle, xerr=[_time_errm, _time_errp],
yerr=_pol_angle_err, fmt='o', label=sim_label)
plt.axis([100., 1e6, None, None])
plt.legend(bbox_to_anchor=(0.4, 0.95))
draw_time_grid()
if save:
save_current_figure('grb130427_swift_polarization_angle',
OUTPUT_FOLDER, False)
plt.figure('PL index')
_y = numpy.full(len(_x), PL_INDEX)
fmt = dict(xname='Time', xunits='s', yname='PL index')
_s = xInterpolatedUnivariateSpline(_x, _y, **fmt)
_s.plot(logx=True, show=False, label=mod_label)
plt.errorbar(_time, _index, xerr=[_time_errm, _time_errp], yerr=_index_err,
fmt='o', label=sim_label)
plt.axis([100., 1e6, None, None])
plt.legend(bbox_to_anchor=(0.4, 0.95))
draw_time_grid()
if save:
save_current_figure('grb130427_swift_pl_index', OUTPUT_FOLDER, False)
#plt.figure('PL normalization')
#plt.errorbar(_time, _norm, xerr=[_time_errm, _time_errp], yerr=_norm_err,
# fmt='o', label=sim_label)
#pl_normalization_spline.plot(show=False, label=mod_label)
#plt.axis([100., 1e6, None, None])
#plt.legend(bbox_to_anchor=(0.4, 0.95))
#draw_time_grid()
#if save:
# save_current_figure('grb130427_swift_pl_norm', OUTPUT_FOLDER, False)
plt.figure('Light curve')
lc = xBinnedLightCurve(_lc_file_path())
lc.plot(show=False)
# This should be implemented in the binned LC class.
plt.xscale('log')
plt.yscale('log')
plt.axis([100., 1e6, None, None])
draw_time_grid()
if save:
save_current_figure('grb130427_swift_lc', OUTPUT_FOLDER, False)
plt.show()
mirror_list = [5, 6, 7, 8]
numpy.random.seed(1)
_color = numpy.random.random((3, len(obs_plan_list)))
numpy.random.seed(17)
_disp = numpy.random.uniform(0.9, 1.4, len(obs_plan_list))
plt.figure('Average polarization degree', (14, 10))
_x = numpy.logspace(-13, -7, 100)
for obs_time in [1.e3, 10.e3, 100.e3, 1.e6]:
_y = 100.* mdp_ref * numpy.sqrt(OBS_TIME_REF/obs_time * FLUX_REF/_x)
plt.plot(_x, _y, color=GRID_COLOR, ls='dashed', lw=0.5)
_i = 53
plt.text(_x[_i], _y[_i], '$T_{obs} =$ %d ks' % (obs_time/1000.),
color=GRID_COLOR, rotation=-45.)
plt.xscale('log')
plt.yscale('log')
plt.xlabel('Integral energy flux %.0f-%.0f keV [erg cm$^{-2}$ s$^{-1}$]' %\
(E_MIN, E_MAX))
plt.ylabel('MDP 99% CL [%]')
for j, source in enumerate(obs_plan_list):
_x = source['flux']
_y = source['mdp']*_disp[j]
plt.plot(_x, _y, 'o', color=_color[:,j])
_text = source['name']
if source['notes'] is not '':
_text += '\n' + source['notes']
if j in mirror_list:
_y *= 0.8
else:
