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]