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https://asciireactor.com/otho/psdlag-agn.git
synced 2024-11-24 02:55:06 +00:00
added some logging
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commit
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@ -22,7 +22,7 @@ do
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echo "Results already exists. Create tables from stored results."
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echo "Results already exists. Create tables from stored results."
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cp analyses/${ref_band}_≺_${echo_band}/*.out .
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cp analyses/${ref_band}_≺_${echo_band}/*.out .
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else
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else
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python scripts/analyze_lightcurve.py $ref_curve $echo_curve >> /dev/null
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time python scripts/analyze_lightcurve.py $ref_curve $echo_curve >> log_${echo_curve}
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mkdir -p "analyses/${ref_band}_≺_${echo_band}"
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mkdir -p "analyses/${ref_band}_≺_${echo_band}"
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cp *.out analyses/${ref_band}_≺_${echo_band}/
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cp *.out analyses/${ref_band}_≺_${echo_band}/
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fi
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fi
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@ -59,7 +59,7 @@ fqd = 10**(np.log10( (fqL[:-1]*fqL[1:]) )/2.)
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## load the first light curve
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## load the first light curve
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lc1_time, lc1_strength, lc1_strength_err = np.loadtxt(args[0],skiprows=1)
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lc1_time, lc1_strength, lc1_strength_err = np.loadtxt(args[0],skiprows=1).T
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# for pylab: errorbar(t1,l1,yerr=l1e,fmt='o')
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# for pylab: errorbar(t1,l1,yerr=l1e,fmt='o')
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@ -77,7 +77,7 @@ ref_psd, ref_psd_err = clag.errors(P1, ref_psd, ref_psd_err)
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#errorbar(fqd, ref_psd, yerr=ref_psd_err, fmt='o', ms=10)
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#errorbar(fqd, ref_psd, yerr=ref_psd_err, fmt='o', ms=10)
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# Load second light curve
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# Load second light curve
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lc2_time, lc2_strength, lc2_strength_err = np.loadtxt(args[1],skiprows=1)
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lc2_time, lc2_strength, lc2_strength_err = np.loadtxt(args[1],skiprows=1).T
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P2 = clag.clag('psd10r', [lc2_time], [lc2_strength], [lc2_strength_err], dt, fqL)
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P2 = clag.clag('psd10r', [lc2_time], [lc2_strength], [lc2_strength_err], dt, fqL)
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echo_psd, echo_psd_err = clag.optimize(P2, initial_args)
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echo_psd, echo_psd_err = clag.optimize(P2, initial_args)
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echo_psd, echo_psd_err = clag.errors(P2, echo_psd, echo_psd_err)
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echo_psd, echo_psd_err = clag.errors(P2, echo_psd, echo_psd_err)
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@ -88,7 +88,7 @@ echo_psd, echo_psd_err = clag.errors(P2, echo_psd, echo_psd_err)
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### We also give it the calculated psd values as input ###
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### We also give it the calculated psd values as input ###
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Cx = clag.clag('cxd10r',
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Cx = clag.clag('cxd10r',
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[[lc1_time,lc1_time]],
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[[lc1_time,lc1_time]],
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[[lc1_strength,lc2_strengt]],
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[[lc1_strength,lc2_strength]],
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[[lc1_strength_err,lc2_strength_err]],
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[[lc1_strength_err,lc2_strength_err]],
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dt, fqL, ref_psd, echo_psd)
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dt, fqL, ref_psd, echo_psd)
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@ -97,7 +97,7 @@ Cx_vals = np.concatenate( ((ref_psd+echo_psd)*0.5-0.3,ref_psd*0+0.1) )
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Cx_vals, Cx_err = clag.optimize(Cx, Cx_vals)
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Cx_vals, Cx_err = clag.optimize(Cx, Cx_vals)
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#?????? %autoreload
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#?????? %autoreload
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Cx_vals, Cx_err = clas.errors(Cx,Cx_vals,Cx_err)
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Cx_vals, Cx_err = clag.errors(Cx,Cx_vals,Cx_err)
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phi, phie = Cx_vals[nfq:], Cx_err[nfq:]
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phi, phie = Cx_vals[nfq:], Cx_err[nfq:]
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lag, lage = phi/(2*np.pi*fqd), phie/(2*np.pi*fqd)
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lag, lage = phi/(2*np.pi*fqd), phie/(2*np.pi*fqd)
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