generated from erosita/uds
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@ -35,23 +35,15 @@ from ridge.config import *
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key="BKG"
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enkey = sys.argv[1]
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fn="detcnts.{}.{}.resid.fits".format(enkey,key)
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d = fits.getdata(proddir+fn)
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df=pd.DataFrame(np.array(d).byteswap().newbyteorder())
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print(fn)
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print(df.columns)
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print("Reading {}".format(proddir+fn))
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dat = Table.read(proddir+fn, unit_parse_strict='silent')
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df = dat.to_pandas()
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print("Number of ScWs: {}".format(df.shape[0]))
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n_bins = 80
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sigma=3
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#grxe = np.array(df['GRXE'])
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clean = np.array(df['CLEAN'])
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model = np.array(df['MODEL'])
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@ -85,7 +77,6 @@ sg_mean, sg_med, sg_std = sigma_clipped_stats(grxe, sigma=sigma, maxiters=10)
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sg_sem = sem(grxe[filtered_grxe.mask==False])
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print("Sigma clipping: mean {:.2f} med {:.2f} std {:.2f} sem {:.2f}".format(sg_mean, sg_med, sg_std, sg_sem))
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k=1.2
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plt.hist(grxe, bins=n_bins, range=[filtered_min*k, filtered_max*k])
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plt.hist(grxe[filtered_grxe.mask], bins=n_bins, range=[filtered_min*k, filtered_max*k])
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@ -40,7 +40,7 @@ fn='detcnts.{}.{}.resid.fits'.format(enkey,key)
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n_bins = 80
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sigma=3
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with fits.open(proddir+fn) as hdul:
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data=hdul[1].data
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@ -41,10 +41,11 @@ if not skey in skyreg.keys():
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sys.exit()
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key = "ALL"
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fn='detcnts.{}.{}.resid.fits'.format(enkey,key)
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d = fits.getdata(proddir+fn)
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df=pd.DataFrame(np.array(d).byteswap().newbyteorder())
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fn="detcnts.{}.{}.resid.fits".format(enkey,key)
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print("Reading {}".format(proddir+fn))
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dat = Table.read(proddir+fn, unit_parse_strict='silent')
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df = dat.to_pandas()
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n_bins = 60
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@ -44,7 +44,7 @@ GB A01 25.00 60.00 154.886019 3.087652
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GB A02 60.00 80.00 96.472798 9.218161
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GB A03 80.00 200.00 102.207302 13.291950
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```
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wgere GB means Galactic Bulge region (see Table 1 in the paper).
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where GB means Galactic Bulge region (see Table 1 in the paper).
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### 03_grxe_galprof.py/03_grxe_galprof.sh and 03_grxe_galprof_plot.py
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@ -71,3 +71,8 @@ xspec
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@load_gb_cutoffpl.xcm
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fit
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```
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### 03_grxe_syserr.py/03_plot_bkg.py/03_plot_skyreg.py
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Prints statistics and plots distribution of residuals for extragalactic data, and for selected sky regions.
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@ -1,58 +0,0 @@
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pro polyfit
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green = GETCOLOR('green', 100)
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red = GETCOLOR('red', 100)
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enkey="B21"
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fn = '../products/detcnts.'+enkey+'.ALL.resid.fits'
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table = readfits(fn, header, EXTEN_NO=1, /SILENT)
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;;tstart = TBGET( header, table, 'TSTART', /NOSCALE)
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;;tstop = TBGET( header, table, 'TSTOP', /NOSCALE)
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rev = TBGET( header, table, 'REV', /NOSCALE)
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data = TBGET( header, table, 'RESID', /NOSCALE)
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time = LINDGEN(N_ELEMENTS(data))
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rev_min=min(rev)
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rev_max=max(rev)
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plot_x=[]
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plot_y=[]
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for r=rev_min, rev_max do begin
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index = where(rev eq r, count)
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if(count lt 10) then continue
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mn = AVG(data(index))
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push,plot_x,r
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push,plot_y,mn
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print,r,count,mn
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endfor
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plot,plot_x,plot_y ;, yrange=[-0.0001,0.0001]
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return
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;;COEFF = ROBUST_LINEFIT(time, rate, YFIT, SIG, COEF_SIG)
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COEFF = ROBUST_POLY_FIT(time,data,7,YFIT,SIG, /DOUBLE)
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print,SIG
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print,COEFF
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;mean_polyfit=AVG(YFIT)
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;print,'mean fit',mean_polyfit
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;print,'resid',SIG/mean_polyfit*100
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poly = coeff;/mean_polyfit
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;;save,FILENAME = enkey+'_poly.sav', poly, mean_polyfit
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scale=1.2
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;;yfit0 = (poly[0] + poly[1]*time + poly[2]*time^2 + poly[3]*time^3)*scale
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plot,time,data;, yrange=[-0.0001,0.0001]
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oplot,time,YFIT,color=green
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;;oplot,time,YFIT0,color=red
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end
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