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