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	working on python stuff clag
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				| @ -20,8 +20,9 @@ lc1 = np.loadtxt(args[0]) | ||||
| # works if first two entries represent minimum spacing, from example | ||||
| # dt = lc1[1,0] - lc1[0, 0] | ||||
| 
 | ||||
| # Time resolution determined from inspection and testing. | ||||
| dt = 0.01 | ||||
| # Time resolution determined from inspection and testing. This script | ||||
| # does not expect evenly spaced data in time. | ||||
| dt = 0.1 | ||||
| 
 | ||||
| 
 | ||||
| _ = plot(lc1[:,0], lc1[:,1]) | ||||
| @ -36,10 +37,12 @@ lc1_strength  = [lc1[i, 1] for i in index] | ||||
| lc1_strength_err = [lc1[i, 2] for i in index] | ||||
| 
 | ||||
| # This would work if both curves are in same file | ||||
| # Lc2  = [lc1[i, 3] for i in index] | ||||
| # lc2  = [lc1[i, 3] for i in index] | ||||
| #Lc2e = [lc1[i, 4] for i in index] | ||||
| 
 | ||||
| 
 | ||||
| # Load second light curve | ||||
| lc2 = np.loadtxt(args[1]) | ||||
| 
 | ||||
| #### Get the psd for the first light curve #### | ||||
| 
 | ||||
| @ -86,7 +89,7 @@ errorbar(fqd[1:-1], psd1[1:-1], yerr=psd1e[1:-1], fmt='o', ms=10, label='fit') | ||||
| 
 | ||||
| ## Now do the second light curve | ||||
| 
 | ||||
| P2  = clag.clag('psd', lc1_time, Lc2, Lc2e, dt, fqL) | ||||
| P2  = clag.clag('psd', lc1_time, lc2, Lc2e, dt, fqL) | ||||
| 
 | ||||
| psd2, psd2e = clag.optimize(P2, inpars) | ||||
| 
 | ||||
| @ -99,7 +102,7 @@ psd2, psd2e = clag.optimize(P2, inpars) | ||||
| ### We also give it the calculated psd values as input ### | ||||
| Cx = clag.clag('cxd',  | ||||
|                [list(i) for i in zip(lc1_time,lc1_time)],  | ||||
|                [list(i) for i in zip(lc1_strength,Lc2)], | ||||
|                [list(i) for i in zip(lc1_strength,lc2)], | ||||
|                [list(i) for i in zip(lc1_strength_err,Lc2e)],  | ||||
|                dt, fqL, psd1, psd2) | ||||
| 
 | ||||
|  | ||||
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