generated from erosita/uds
+++
This commit is contained in:
Roman Krivonos
parent
2552bdb552
commit
d7ddc5dc43
@ -1,21 +1,21 @@
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0 25.00 27.50 80.829894 12.245058 0.0
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0 27.50 30.25 76.644942 10.424311 0.0
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0 30.25 33.28 76.502631 11.634459 0.0
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0 33.28 36.60 68.303048 10.264405 0.0
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0 36.60 40.26 47.306287 12.222633 0.0
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0 40.26 44.29 50.277235 13.161144 0.0
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0 44.29 48.72 38.157378 14.334599 0.0
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0 48.72 53.59 38.182359 16.922607 0.0
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0 53.59 58.95 32.176187 23.454953 0.0
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0 58.95 64.84 9.085719 26.909627 0.0
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0 64.84 71.33 4.184346 29.146344 0.0
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0 71.33 78.46 -9.500519 31.479429 0.0
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0 78.46 86.31 -8.236339 34.082221 0.0
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0 86.31 94.94 -29.519105 36.423630 0.0
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0 94.94 104.43 -29.638303 36.196842 0.0
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0 104.43 114.87 -58.969197 47.170262 0.0
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0 114.87 126.36 -95.503579 62.312335 0.0
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0 126.36 139.00 -128.008918 86.404246 0.0
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0 139.00 152.90 -254.865359 106.787744 0.0
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0 152.90 168.19 -248.310328 132.790433 0.0
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0 168.19 185.01 -262.343876 146.080123 0.0
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0 25.00 27.50 97.594215 19.152866 0.0
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0 27.50 30.25 88.572954 17.572310 0.0
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0 30.25 33.28 98.698707 18.434761 0.0
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0 33.28 36.60 76.185527 16.795524 0.0
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0 36.60 40.26 74.456883 18.952182 0.0
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0 40.26 44.29 68.498175 20.414274 0.0
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0 44.29 48.72 60.938981 23.037130 0.0
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0 48.72 53.59 78.093265 24.753731 0.0
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0 53.59 58.95 62.780993 35.373011 0.0
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0 58.95 64.84 54.981761 45.622070 0.0
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0 64.84 71.33 31.131458 45.463755 0.0
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0 71.33 78.46 21.238334 52.216610 0.0
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0 78.46 86.31 15.370207 56.318480 0.0
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0 86.31 94.94 33.395021 60.671498 0.0
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0 94.94 104.43 33.371988 65.827159 0.0
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0 104.43 114.87 8.761509 74.581412 0.0
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0 114.87 126.36 34.274489 102.125880 0.0
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0 126.36 139.00 145.426485 137.177118 0.0
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0 139.00 152.90 -31.141499 180.263798 0.0
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0 152.90 168.19 90.530509 223.724154 0.0
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0 168.19 185.01 -16.157665 241.171948 0.0
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@ -1,21 +1,21 @@
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0 25.00 27.50 80.868838 3.629462 0.0
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0 27.50 30.25 75.581563 3.298105 0.0
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0 30.25 33.28 75.798053 3.563746 0.0
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0 33.28 36.60 69.671013 3.269331 0.0
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0 36.60 40.26 48.079290 3.686636 0.0
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0 40.26 44.29 48.567741 3.956909 0.0
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0 44.29 48.72 38.679751 4.547690 0.0
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0 48.72 53.59 40.698258 4.980663 0.0
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0 53.59 58.95 34.223263 7.023514 0.0
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0 58.95 64.84 8.573069 8.490589 0.0
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0 64.84 71.33 6.375353 8.631849 0.0
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0 71.33 78.46 -7.298427 9.896588 0.0
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0 78.46 86.31 -5.188647 10.760612 0.0
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0 86.31 94.94 -27.892689 11.373849 0.0
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0 94.94 104.43 -28.106104 12.048314 0.0
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0 104.43 114.87 -55.165521 14.936937 0.0
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0 114.87 126.36 -98.708217 19.653155 0.0
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0 126.36 139.00 -128.152693 26.863584 0.0
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0 139.00 152.90 -260.097479 34.058972 0.0
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0 152.90 168.19 -247.225449 42.062017 0.0
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0 168.19 185.01 -263.723359 45.821742 0.0
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0 25.00 27.50 97.893621 6.006746 0.0
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0 27.50 30.25 89.649217 5.476124 0.0
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0 30.25 33.28 96.877164 5.834810 0.0
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0 33.28 36.60 76.973632 5.520131 0.0
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0 36.60 40.26 74.815301 5.998109 0.0
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0 40.26 44.29 69.366524 6.371047 0.0
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0 44.29 48.72 62.652641 7.497996 0.0
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0 48.72 53.59 77.111748 8.100871 0.0
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0 53.59 58.95 61.348888 11.408661 0.0
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0 58.95 64.84 56.159316 14.202528 0.0
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0 64.84 71.33 34.170958 14.626111 0.0
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0 71.33 78.46 20.940958 15.934871 0.0
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0 78.46 86.31 12.647710 18.433726 0.0
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0 86.31 94.94 22.093487 18.552664 0.0
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0 94.94 104.43 34.076339 20.646834 0.0
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0 104.43 114.87 6.561830 24.903652 0.0
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0 114.87 126.36 36.303914 32.104944 0.0
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0 126.36 139.00 158.224658 44.397384 0.0
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0 139.00 152.90 -18.224589 59.476750 0.0
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0 152.90 168.19 85.614695 71.931770 0.0
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0 168.19 185.01 -2.233538 80.500729 0.0
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File diff suppressed because one or more lines are too long
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@ -136,8 +136,10 @@ def get_syserror(fn):
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#fn="detcnts.{}.{}.resid.fits".format(enkey,key)
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d = fits.getdata(fn)
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df=pd.DataFrame(np.array(d).byteswap().newbyteorder())
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#d = fits.getdata(fn)
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#df=pd.DataFrame(np.array(d).byteswap().newbyteorder())
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with fits.open(fn) as data:
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df = pd.DataFrame(data[1].data)
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#print(fn)
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#print(df.columns)
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@ -30,9 +30,12 @@ enkey = sys.argv[1]
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fn="detcnts.{}.fits".format(enkey)
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print("Reading {}".format(datadir+fn))
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d = fits.getdata(datadir+fn)
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df=pd.DataFrame(np.array(d).byteswap().newbyteorder())
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#d = fits.getdata(datadir+fn)
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#df=pd.DataFrame(np.array(d).byteswap().newbyteorder())
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with fits.open(datadir+fn) as data:
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df = pd.DataFrame(data[1].data)
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print(df.columns)
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#interp_a = np.interp(50, [0,100], [0, 1])
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@ -1,30 +1,30 @@
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./01_bgdmodel.py E01
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./01_bgdmodel.py E02
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./01_bgdmodel.py E03
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./01_bgdmodel.py E04
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./01_bgdmodel.py E05
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./01_bgdmodel.py E06
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./01_bgdmodel.py E07
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./01_bgdmodel.py E08
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./01_bgdmodel.py E09
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./01_bgdmodel.py E10
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./01_bgdmodel.py E11
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./01_bgdmodel.py E12
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./01_bgdmodel.py E13
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./01_bgdmodel.py E14
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./01_bgdmodel.py E15
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#./01_bgdmodel.py E01
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#./01_bgdmodel.py E02
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#./01_bgdmodel.py E03
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#./01_bgdmodel.py E04
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#./01_bgdmodel.py E05
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#./01_bgdmodel.py E06
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#./01_bgdmodel.py E07
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#./01_bgdmodel.py E08
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#./01_bgdmodel.py E09
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#./01_bgdmodel.py E10
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#./01_bgdmodel.py E11
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#./01_bgdmodel.py E12
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#./01_bgdmodel.py E13
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#./01_bgdmodel.py E14
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#./01_bgdmodel.py E15
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./01_bgdmodel.py A01
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./01_bgdmodel.py A02
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./01_bgdmodel.py A03
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./01_bgdmodel.py A04
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./01_bgdmodel.py A05
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./01_bgdmodel.py A06
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./01_bgdmodel.py A07
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./01_bgdmodel.py A08
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./01_bgdmodel.py A09
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./01_bgdmodel.py A10
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./01_bgdmodel.py A11
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#./01_bgdmodel.py A01
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#./01_bgdmodel.py A02
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#./01_bgdmodel.py A03
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#./01_bgdmodel.py A04
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#./01_bgdmodel.py A05
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#./01_bgdmodel.py A06
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#./01_bgdmodel.py A07
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#./01_bgdmodel.py A08
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#./01_bgdmodel.py A09
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#./01_bgdmodel.py A10
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#./01_bgdmodel.py A11
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./01_bgdmodel.py B01
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./01_bgdmodel.py B02
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@ -63,10 +63,13 @@ fn="detcnts.{}.fits".format(enkey)
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with open(proddir+fn.replace(".fits",".ignored_scw.pkl"), 'rb') as fp:
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ignored_scw = pickle.load(fp)
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d = fits.getdata(datadir+fn)
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df=pd.DataFrame(np.array(d).byteswap().newbyteorder())
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#d = fits.getdata(datadir+fn)
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#df=pd.DataFrame(np.array(d).byteswap().newbyteorder())
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#print(df.columns)
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with fits.open(datadir+fn) as data:
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df = pd.DataFrame(data[1].data)
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crab_crd = SkyCoord(crab_ra, crab_dec, frame=FK5(), unit="deg")
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plotme=False
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@ -94,7 +97,7 @@ totx=[]
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toty=[]
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for i,rec in df.iterrows():
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obsid = rec['OBSID'].decode("utf-8")
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obsid = rec['OBSID']#.decode("utf-8")
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if(obsid in ignore_scws):
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print("Remove {}".format(obsid))
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df.drop(index=i, inplace=True)
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@ -1,30 +1,30 @@
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./01_crabmodel.py E01
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./01_crabmodel.py E02
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./01_crabmodel.py E03
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./01_crabmodel.py E04
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./01_crabmodel.py E05
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./01_crabmodel.py E06
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./01_crabmodel.py E07
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./01_crabmodel.py E08
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./01_crabmodel.py E09
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./01_crabmodel.py E10
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./01_crabmodel.py E11
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./01_crabmodel.py E12
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./01_crabmodel.py E13
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./01_crabmodel.py E14
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./01_crabmodel.py E15
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#./01_crabmodel.py E01
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#./01_crabmodel.py E02
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#./01_crabmodel.py E03
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#./01_crabmodel.py E04
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#./01_crabmodel.py E05
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#./01_crabmodel.py E06
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#./01_crabmodel.py E07
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#./01_crabmodel.py E08
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#./01_crabmodel.py E09
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#./01_crabmodel.py E10
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#./01_crabmodel.py E11
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#./01_crabmodel.py E12
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#./01_crabmodel.py E13
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#./01_crabmodel.py E14
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#./01_crabmodel.py E15
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./01_crabmodel.py A01
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./01_crabmodel.py A02
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./01_crabmodel.py A03
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./01_crabmodel.py A04
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./01_crabmodel.py A05
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./01_crabmodel.py A06
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./01_crabmodel.py A07
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./01_crabmodel.py A08
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./01_crabmodel.py A09
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./01_crabmodel.py A10
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./01_crabmodel.py A11
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#./01_crabmodel.py A01
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#./01_crabmodel.py A02
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#./01_crabmodel.py A03
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#./01_crabmodel.py A04
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#./01_crabmodel.py A05
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#./01_crabmodel.py A06
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#./01_crabmodel.py A07
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#./01_crabmodel.py A08
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#./01_crabmodel.py A09
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#./01_crabmodel.py A10
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#./01_crabmodel.py A11
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./01_crabmodel.py B01
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./01_crabmodel.py B02
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@ -26,10 +26,10 @@ from numpy import arange
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from ridge.utils import *
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from ridge.config import *
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plotme=False
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plotme=True
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enkey = sys.argv[1]
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outkey = sys.argv[2]
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#outkey = "ALL"
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#outkey = sys.argv[2]
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outkey = "ALL"
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fn="detcnts.{}.fits".format(enkey)
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@ -83,8 +83,11 @@ base0=[]
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c0=[]
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texp0=[]
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d = fits.getdata(datadir+fn)
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df = pd.DataFrame(np.array(d).byteswap().newbyteorder())
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#d = fits.getdata(datadir+fn)
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#df = pd.DataFrame(np.array(d).byteswap().newbyteorder())
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with fits.open(datadir+fn) as data:
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df = pd.DataFrame(data[1].data)
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# BKG
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if(outkey == 'BKG'):
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@ -100,7 +103,7 @@ if(outkey=='ALL'):
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for i, row in df.iterrows():
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orbit=row['REV']
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obsid=row['OBSID'].decode("UTF-8")
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obsid=row['OBSID']#.decode("UTF-8")
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if not (orbit > revmin and orbit < revmax):
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print("Skip orbit",orbit,row['OBSID'])
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@ -170,7 +173,6 @@ for r in range(rev_min,rev_max):
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ind = np.nonzero(orbits == r)
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if not (len(resid_arr[ind])>10):
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continue
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#print(r,np.mean(resid_arr[ind]), len(resid_arr[ind]))
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distr_val.append(np.mean(resid_arr[ind]))
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distr_rev.append(r)
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@ -183,13 +185,14 @@ filtered_data = sigma_clip(dval, sigma=sigma, maxiters=10, return_bounds=True)
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filtered_arr=filtered_data[0]
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filtered_min=filtered_data[1]
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filtered_max=filtered_data[2]
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print("Sigma clipping: min {:.2e} max {:.2e}".format(filtered_min,filtered_max))
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print("length orig: {} taken: {} filtered: {}".format(len(dval),len(dval[filtered_arr.mask==False]),len(dval[filtered_arr.mask==True])))
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sg_mean, sg_med, sg_std = sigma_clipped_stats(distr_val, sigma=sigma, maxiters=10)
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sg_sem = sem(dval[filtered_arr.mask==False])
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print("Sigma clipping: mean {:.2f} med {:.2f} std {:.2f} ".format(sg_mean, sg_med, sg_std))
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print("Sigma clipping: mean {:.2e} med {:.2e} std {:.2e} ".format(sg_mean, sg_med, sg_std))
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print(len(drev[filtered_arr.mask==True]))
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@ -208,7 +211,7 @@ if(plotme):
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with open(proddir+fn.replace(".fits",".ignored_rev.resid.pkl"), 'wb') as fp:
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pickle.dump(drev[filtered_arr.mask==True], fp, protocol=pickle.HIGHEST_PROTOCOL)
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print("Removed REVs:",ignored_rev)
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print("Removed REVs:",drev[filtered_arr.mask==True])
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indices = sorted(
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@ -256,3 +259,22 @@ with fits.open(proddir+fout, mode='update') as hdus:
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coldefs = fits.ColDefs([
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fits.Column(name='REV', format='J', unit='', array=drev),
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fits.Column(name='RESID', format='D', unit='cts/s', array=dval),
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fits.Column(name='MASK', format='L', unit='', array=filtered_arr.mask),
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])
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fout = fn.replace(".fits",".{}.resid_by_rev.fits".format(outkey))
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hdu = fits.BinTableHDU.from_columns(coldefs, name='GRXE')
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hdu.header['MISSION'] = ('INTEGRAL', '')
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hdu.header['TELESCOP'] = (outkey, '')
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hdu.header['INSTITUT'] = ('IKI', 'Affiliation')
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hdu.header['AUTHOR'] = ('Roman Krivonos', 'Responsible person')
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hdu.header['EMAIL'] = ('krivonos@cosmos.ru', 'E-mail')
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#hdu.add_checksum()
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print(hdu.columns)
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hdu.writeto(proddir+fout, overwrite=True)
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with fits.open(proddir+fout, mode='update') as hdus:
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hdus[1].add_checksum()
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@ -48,24 +48,24 @@
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#./02_grxe_resid.py B20 ALL
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#./02_grxe_resid.py B21 ALL
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./02_grxe_resid.py B01 BKG
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./02_grxe_resid.py B02 BKG
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./02_grxe_resid.py B03 BKG
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./02_grxe_resid.py B04 BKG
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./02_grxe_resid.py B05 BKG
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./02_grxe_resid.py B06 BKG
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./02_grxe_resid.py B07 BKG
|
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./02_grxe_resid.py B08 BKG
|
||||
./02_grxe_resid.py B09 BKG
|
||||
./02_grxe_resid.py B10 BKG
|
||||
./02_grxe_resid.py B11 BKG
|
||||
./02_grxe_resid.py B12 BKG
|
||||
./02_grxe_resid.py B13 BKG
|
||||
./02_grxe_resid.py B14 BKG
|
||||
./02_grxe_resid.py B15 BKG
|
||||
./02_grxe_resid.py B16 BKG
|
||||
./02_grxe_resid.py B17 BKG
|
||||
./02_grxe_resid.py B18 BKG
|
||||
./02_grxe_resid.py B19 BKG
|
||||
./02_grxe_resid.py B20 BKG
|
||||
./02_grxe_resid.py B21 BKG
|
||||
./02_grxe_resid.py B01
|
||||
./02_grxe_resid.py B02
|
||||
./02_grxe_resid.py B03
|
||||
./02_grxe_resid.py B04
|
||||
./02_grxe_resid.py B05
|
||||
./02_grxe_resid.py B06
|
||||
./02_grxe_resid.py B07
|
||||
./02_grxe_resid.py B08
|
||||
./02_grxe_resid.py B09
|
||||
./02_grxe_resid.py B10
|
||||
./02_grxe_resid.py B11
|
||||
./02_grxe_resid.py B12
|
||||
./02_grxe_resid.py B13
|
||||
./02_grxe_resid.py B14
|
||||
./02_grxe_resid.py B15
|
||||
./02_grxe_resid.py B16
|
||||
./02_grxe_resid.py B17
|
||||
./02_grxe_resid.py B18
|
||||
./02_grxe_resid.py B19
|
||||
./02_grxe_resid.py B20
|
||||
./02_grxe_resid.py B21
|
||||
|
||||
@ -139,7 +139,15 @@ with open(proddir+'detcnts.B21.ignored_rev.resid.pkl', 'rb') as fp:
|
||||
print(ignored_rev)
|
||||
|
||||
ign=ignored_rev.tolist()
|
||||
|
||||
"""
|
||||
if(1091 in ign):
|
||||
print("Removed")
|
||||
else:
|
||||
print("Taken")
|
||||
|
||||
sys.exit()
|
||||
"""
|
||||
nsim=1000
|
||||
|
||||
for skey in skeys:
|
||||
@ -147,23 +155,35 @@ for skey in skeys:
|
||||
print("{} not found in {}".format(skey,list(skyreg.keys())))
|
||||
sys.exit()
|
||||
for enkey in ebands0.keys():
|
||||
bkg_fn="detcnts.{}.BKG.resid.fits".format(enkey,inkey)
|
||||
syserr, bkg_sem = get_syserror(proddir+bkg_fn)
|
||||
#bkg_fn="detcnts.{}.BKG.resid.fits".format(enkey,inkey)
|
||||
#syserr, bkg_sem = get_syserror(proddir+bkg_fn)
|
||||
|
||||
fn="detcnts.{}.{}.resid.fits".format(enkey,inkey)
|
||||
d = fits.getdata(proddir+fn)
|
||||
df=pd.DataFrame(np.array(d).byteswap().newbyteorder())
|
||||
#print(df.columns)
|
||||
#d1 = fits.getdata(proddir+fn)
|
||||
#d2=np.array(d1)
|
||||
#df=pd.DataFrame(d2.view(d2.dtype.newbyteorder()))
|
||||
#df=pd.DataFrame(np.array(d).byteswap().newbyteorder())
|
||||
|
||||
#with fits.open(proddir+fn) as data:
|
||||
# df = pd.DataFrame(data[1].data)
|
||||
|
||||
dat = Table.read(proddir+fn)
|
||||
df = dat.to_pandas()
|
||||
|
||||
print(df.columns)
|
||||
#sys.exit()
|
||||
#df = df.query("REV == @ign")
|
||||
|
||||
|
||||
df = df.query("LON > {} & LON < {} & LAT > {} & LAT < {} & REV != @ign".format(
|
||||
query = "LON > {} & LON < {} & LAT > {} & LAT < {} & REV != @ign".format(
|
||||
skyreg[skey]['lon'] - skyreg[skey]['wlon']/2,
|
||||
skyreg[skey]['lon'] + skyreg[skey]['wlon']/2,
|
||||
skyreg[skey]['lat'] - skyreg[skey]['wlat']/2,
|
||||
skyreg[skey]['lat'] + skyreg[skey]['wlat']/2)
|
||||
)
|
||||
|
||||
print(query)
|
||||
#sys.exit()
|
||||
df = df.query(query)
|
||||
|
||||
|
||||
t = Table.from_pandas(df)
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user