def get_opsimObsValues(filename):
keys = ('ra', 'dec', 'expmjd', 'filter', 'alt', 'az', 'airmass', 'cloud', 'seeing', 'sunalt', 'sunaz', 'moonalt', 'moonaz', 'moonphase', 'moonillum',
'skybright', 'maglimit', 'surveynight', 'downtime')
keytypes = ('float', 'float', 'float', 'str', 'float', 'float', 'float', 'float', 'float', 'float', 'float', 'float', 'float', 'float', 'float',
'float', 'float', 'int', 'int')
opsimObsdata = ui.readDatafile(filename, keys, keytypes)
return opsimObsdata
def readSF(file):
import useful_input as ui
data = ui.readDatafile(file, ('theta', 'sf'))
# Convert arcminutes to degrees
data['theta'] = data['theta'] / 60.0
# Convert Tim's SF**2 to SF (mag**2 -> mag)
data['sf'] = numpy.sqrt(data['sf'])
return data['theta'], data['sf']
def get_opsimObsValues(filename):
keys = ('ra', 'dec', 'expmjd', 'filter', 'alt', 'az', 'airmass', 'cloud',
'seeing', 'sunalt', 'sunaz', 'moonalt', 'moonaz', 'moonphase',
'moonillum', 'skybright', 'maglimit', 'surveynight', 'downtime')
keytypes = ('float', 'float', 'float', 'str', 'float', 'float', 'float',
'float', 'float', 'float', 'float', 'float', 'float', 'float',
'float', 'float', 'float', 'int', 'int')
opsimObsdata = ui.readDatafile(filename, keys, keytypes)
return opsimObsdata
pylab.ylabel('mag @ SNR=5')
pylab.show()
"""
# Test with opsim values.
import time
def dtime(time_prev):
return (time.time() - time_prev), time.time()
# read test data
import useful_input as ui
filename ='test_m5'
#filename ='t'
keys = ('seeing', 'airmass', 'skybright', 'filter', '5sigma')
keytypes = ('float', 'float', 'float', 'a3' ,'float')
data = ui.readDatafile(filename, keys, keytypes)
data['filter'] = m5s.check_filter(data['filter'])
t = time.time()
mags = m5s.calc_maglimit(data['seeing'], data['skybright'], data['filter'], data['airmass'])
dt, t = dtime(t)
print 'Calculate full SNR mag limits for %d objects in %f s' %(len(data['filter']), dt)
m5 = m5s.calc_maglimit_Cm(data['seeing'], data['skybright'], data['filter'], data['airmass'])
dt, t = dtime(t)
print 'Calculate Cm style for %d objects in %f s' %(len(data['filter']), dt)
import pylab
pylab.figure()
filters_used = numpy.unique(data['filter'])
for f in filters_used:
condition = (data['filter'] == f)
pylab.plot(data['skybright'][condition], (mags[condition] - m5[condition]),
pylab.show()
"""
# Test with opsim values.
import time
def dtime(time_prev):
return (time.time() - time_prev), time.time()
# read test data
import useful_input as ui
filename = 'test_m5'
#filename ='t'
keys = ('seeing', 'airmass', 'skybright', 'filter', '5sigma')
keytypes = ('float', 'float', 'float', 'a3', 'float')
data = ui.readDatafile(filename, keys, keytypes)
data['filter'] = m5s.check_filter(data['filter'])
t = time.time()
mags = m5s.calc_maglimit(data['seeing'], data['skybright'], data['filter'],
data['airmass'])
dt, t = dtime(t)
print 'Calculate full SNR mag limits for %d objects in %f s' % (len(
data['filter']), dt)
m5 = m5s.calc_maglimit_Cm(data['seeing'], data['skybright'],
data['filter'], data['airmass'])
dt, t = dtime(t)
print 'Calculate Cm style for %d objects in %f s' % (len(
data['filter']), dt)
import pylab
pylab.figure()
