import pandas as pd
import gphoton_utils as gu
import gFind
from FileUtils import flat_filename
import numpy as np
import matplotlib.pyplot as plt
skypos = {'LDS749B':[323.06766667,0.25400000],
'PS_CDFS_MOS00':[53.1032558472, -27.7963826072],
'CDFS_00':[53.1273118244, -27.8744513656]}
bands = ['NUV','FUV']
ra0,dec0=skypos['LDS749B']
from gPhoton.regtestutils import datamaker
datamaker('FUV',[323.06766667,0.25400000],'LDS749B_dm_FUV.csv',margin=0.001,searchradius=0.001)
from gPhoton.regtestutils import datamaker
datamaker('NUV',[323.06766667,0.25400000],'LDS749B_dm_NUV.csv',margin=0.001,searchradius=0.001)
"""The following gCalrun commands generate photometry for a large number of
random sources, which serves as a test of relative photometry.
"""
./gCalrun -f 'DPFCore_calrun_FUV.csv' -b 'FUV' --rarange [0,360] --decrange [-90,90] -n 100 --seed 323 -v 1
./gCalrun -f 'DPFCore_calrun_NUV.csv' -b 'NUV' --rarange [0,360] --decrange [-90,90] -n 100 --seed 323 -v 1
"""The following gAperture commands generate photometry for the full depth
of LDS749B observations, a test of absolute photometry.
"""
./gAperture --skypos [323.06766667,0.25400000] -a 0.005 --annulus [0.01,0.02] -b 'NUV' -v 2 -f 'LDS749B_NUV.csv' --maxgap 50 --minexp 90 --overwrite
import gphoton_utils as gu
import gFind
from FileUtils import flat_filename
import numpy as np
import matplotlib.pyplot as plt
skypos = {'LDS749B':[323.06766667,0.25400000],
'PS_CDFS_MOS00':[53.1032558472, -27.7963826072],
'CDFS_00':[53.1273118244, -27.8744513656]}
bands = ['NUV','FUV']
ra0,dec0=skypos['LDS749B']
band = 'FUV'
outfile = 'LDS749B_FUV.csv'
datamaker(band,skypos['LDS749B'],outfile)
band = 'NUV'
outfile = 'LDS749B_NUV.csv'
datamaker(band,skypos['LDS749B'],outfile)
"""To avoid wasting a lot of time on the same tiles and also biasing the
result with the same few super deep tiles (LDS and CDFS, mostly), the
following filters on <5000s coadd depth, more or less, based upon
the most recent coadd level database coverage reference table.
"""
nsamples = 10
rarange=[0,360]
decrange=[53,90]
