def explain_calib(self):
"""
Prints out information about the practice image
:return:
"""
if self._practicemode is False:
raise StupidError(
"Oi! you don't have a practice image for me to explain.")
else:
print("The standard star information is:")
print("x, y, flux")
print("-----------")
print('%.2f, %.2f, %.2f' % (self._practicedict['psf_x'][0],
self._practicedict['psf_y'][0],
self._practicedict['psf_flux'][0]))
print("-----------")
if self._practicedict['ronflag']:
print("RON: %.2f added" % self._practicedict['ron'])
else:
print("No RON added")
if self._practicedict['shotflag']:
print("Shot noise added")
else:
print("No Shot noise added")
def explain_practiceima(self):
"""
Prints out information about the practice image
:return:
"""
if self._practicemode is False:
raise StupidError(
"Oi! you don't have a practice image for me to explain.")
else:
print("There are %i Objects in this image" %
self._practicedict['npsfs'])
print("They have the following parameters:")
print("x, y, flux")
print("-----------")
for i in range(self._practicedict['npsfs']):
print('%.2f, %.2f, %.2f' % (self._practicedict['psf_x'][i],
self._practicedict['psf_y'][i],
self._practicedict['psf_flux'][i]))
print("-----------")
print("Background level: %.2f" % self._practicedict['bg'])
print("Radius/FWHM: %.2f/%.2f" %
(self._practicedict['sigma'],
2.35 * self._practicedict['sigma']))
if self._practicedict['ronflag']:
print("RON: %.2f added" % self._practicedict['ron'])
else:
print("No RON added")
if self._practicedict['shotflag']:
print("Shot noise added")
else:
print("No Shot noise added")
def guess_psf(self, x, y, flux, error, poserr):
"""
Compare a guess of the psf properties with the results.
Matches will by accepted within actual value +- 1 error
:param x: guess for x
:param y: guess for y
:param flux: guess for flux
:param error: error in flux guess
:param poserr: error in position
:return:
"""
if self._practicemode is False:
raise StupidError(
"Oi! you don't have a practice image to make a guess for.")
match = False
print("your guess: x,y = %.2f, %.2f (+- %.2f), flux=%.2f +- %.2f" %
(x, y, poserr, flux, error))
for i in range(self._practicedict['npsfs']):
xpsf, ypsf, fpsf = self._practicedict['psf_x'][i], self._practicedict['psf_y'][i],\
self._practicedict['psf_flux'][i]
if xpsf - poserr < x and xpsf + poserr > x:
print('Matched in X position')
if ypsf - poserr < y and ypsf + poserr > y:
print('Matched in Y position')
if fpsf - error < flux and fpsf + error > flux:
print(
'Matching psf with x = %.2f, y = %.2f, flux = %.2f'
% (xpsf, ypsf, fpsf))
print('Well done!')
match = True
else:
print("Match in position, but not flux.")
if match is False:
print('No match found.')
def practiceima_positions(self):
"""
Prints out information about the practice image
:return:
"""
if self._practicemode is False:
raise StupidError("Oi! you don't have a practice image for me to explain.")
else:
print("There are %i Objects in this image with positions" % self._practicedict['npsfs'])
print("x, y")
print("-----------")
for i in range(self._practicedict['npsfs']):
print('%.2f, %.2f' %(self._practicedict['psf_x'][i], self._practicedict['psf_y'][i]))
