def analyze():
"""
"""
if os.path.exists(ANALYSIS_FILE_PATH):
logger.info('%s exists, delete it if you want to recreate it.' %\
ANALYSIS_FILE_PATH)
return
modf = load_mrf('xipe_goal')
logger.info('Opening output file %s...' % ANALYSIS_FILE_PATH)
analysis_file = open(ANALYSIS_FILE_PATH, 'w')
for i, (_min, _max) in enumerate(PHASE_BINNING):
_evt_file = xEventFile(_sel_file_path(i))
_energy = _evt_file.event_data['ENERGY']
_phase = _evt_file.event_data['PHASE']
exp = (polarization_degree(_energy, _phase, 0, 0)*modf(_energy)).sum()/\
modf(_energy).sum()
_mcube = xBinnedModulationCube(_mcube_file_path(i))
_mcube.fit()
_fit_results = _mcube.fit_results[-1]
print _fit_results
print exp
print polarization_degree(_mcube.emean[-1], _phase, 0, 0)
raw_input()
_phase = 0.5*(_min + _max)
_phase_err = 0.5*(_max - _min)
_pol_deg = _fit_results.polarization_degree
_pol_deg_err = _fit_results.polarization_degree_error
_pol_angle = _fit_results.phase
_pol_angle_err = _fit_results.phase_error
_data = (_phase, _phase_err, _pol_deg, _pol_deg_err, _pol_angle,
_pol_angle_err)
_fmt = ('%.4e ' * len(_data)).strip()
_fmt = '%s\n' % _fmt
_line = _fmt % _data
analysis_file.write(_line)
analysis_file.close()
def plot(save_plots=False):
"""
"""
sim_label = 'XIPE %s ks' % (SIM_DURATION/1000.)
mod_label = 'Input model'
_phase, _phase_err, _pol_deg, _pol_deg_err, _pol_angle,\
_pol_angle_err = numpy.loadtxt(ANALYSIS_FILE_PATH, unpack=True)
_pol_angle = numpy.degrees(_pol_angle)
_pol_angle_err = numpy.degrees(_pol_angle_err)
_colors = ['blue']*len(_pol_deg)
plt.figure('Polarization degree')
_good_fit = _pol_deg > 2*_pol_deg_err
_bad_fit = numpy.logical_not(_good_fit)
plt.errorbar(_phase[_good_fit], _pol_deg[_good_fit],
xerr=_phase_err[_good_fit], yerr=_pol_deg_err[_good_fit],
fmt='o', label=sim_label, color='blue')
plt.errorbar(_phase[_bad_fit], _pol_deg[_bad_fit],
xerr=_phase_err[_bad_fit], yerr=_pol_deg_err[_bad_fit],
fmt='o', color='gray')
#pol_degree_spline.plot(show=False, label=mod_label, color='green')
_x = numpy.linspace(0, 1, 100)
_y = polarization_degree(2.38, _x, 0, 0)
plt.plot(_x, _y)
plt.axis([0., 1., 0., 1.])
plt.legend(bbox_to_anchor=(0.37, 0.95))
plt.figtext(0.6, 0.8, '%.2f--%.2f keV' %\
(E_BINNING[0], E_BINNING[-1]), size=16)
if save_plots:
plt.savefig('J1708_per_polarization_degree.png')
plt.figure('Polarization angle')
plt.errorbar(_phase[_good_fit], _pol_angle[_good_fit],
xerr=_phase_err[_good_fit], yerr=_pol_angle_err[_good_fit],
fmt='o', label=sim_label, color='blue')
plt.errorbar(_phase[_bad_fit], _pol_angle[_bad_fit],
xerr=_phase_err[_bad_fit], yerr=_pol_angle_err[_bad_fit],
fmt='o', color='gray')
#pol_angle_spline.plot(show=False, label=mod_label, color='green',
# scale=numpy.radians(1.))
_x = numpy.linspace(0, 1, 100)
_y = numpy.degrees(polarization_angle(2.56, _x, 0, 0))
plt.plot(_x, _y)
plt.axis([0., 1., 0, 180])
plt.xlabel('Rotational phase')
plt.ylabel('Polarization angle [$^\\circ$]')
plt.legend(bbox_to_anchor=(0.37, 0.95))
plt.figtext(0.6, 0.8, '%.2f--%.2f keV' %\
(E_BINNING[0], E_BINNING[-1]), size=16)
if save_plots:
plt.savefig('J1708_per_polarization_angle.png')
_ebinning = zip(E_BINNING[:-1], E_BINNING[1:])
if len(_ebinning) > 1:
_ebinning.append((E_BINNING[0], E_BINNING[-1]))
for i, (_emin, _emax) in enumerate(_ebinning):
plt.figure('Phasogram %d' % i)
phasogram = xBinnedPhasogram(_phasg_file_path(i))
#_scale = phasogram.counts.sum()/phasogram_spline.norm()/\
# len(phasogram.counts)
#phasogram_spline.plot(show=False, label=mod_label, scale=_scale,
# color='green')
#print phasogram.counts
phasogram.plot(show=False, color='blue', label=sim_label )
plt.legend(bbox_to_anchor=(0.37, 0.95))
plt.figtext(0.65, 0.8, '%.2f--%.2f keV' % (_emin, _emax), size=16)
if save_plots:
plt.savefig('J1708_per_phasogram_%d.png' % i)
plt.show()
