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	new frequency bin paradigm, should be more robust# Please enter the commit message for your changes. Lines starting
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				| @ -18,7 +18,7 @@ except getopt.GetoptError: | ||||
| 
 | ||||
| # Time resolution determined from inspection and testing. This script | ||||
| # does not expect evenly spaced data in time. | ||||
| dt = 0.01 | ||||
| dt = 0.1 | ||||
| 
 | ||||
| #### Get the psd for the first light curve #### | ||||
| 
 | ||||
| @ -54,12 +54,9 @@ fqL = np.array([0.0049999999, 0.018619375, 0.044733049, 0.069336227, 0.10747115, | ||||
| # fqL = np.concatenate(([0.5/seg_length], fqL)) | ||||
| # | ||||
| 
 | ||||
| f1 = 1/270. | ||||
| f1 = 1/175. | ||||
| f2 = 0.5/dt | ||||
| 
 | ||||
| fqL = np.hstack((np.array(0.5*f1),np.logspace(np.log10(0.9*f1),np.log10(.5*f2),7),np.array(2*f2))) | ||||
| 
 | ||||
| 
 | ||||
| fqL = np.hstack((np.array(0.5*f1),np.logspace(np.log10(0.9*f1),np.log10(0.3*f2),9),np.array(2*f2))) | ||||
| nfq = len(fqL) - 1 | ||||
| fqd = 10**(np.log10( (fqL[:-1]*fqL[1:]) )/2.) | ||||
| 
 | ||||
|  | ||||
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