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@ -34,7 +34,10 @@ t1, l1, l1e = np.loadtxt(ref_file).T
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# 0.22, 0.56])
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#D
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fqL = [0.0049999999] + np.logspace(np.log10(0.02999999),np.log10(0.340002000),5)
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fqL = [0.0049999999] + np.logspace(np.log10(0.05999999),np.log10(0.340002000),5)
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fqL = np.array([0.0049999999, 0.044733049,
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0.10747115,
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0.25819945, 0.44020915])
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nfq = len(fqL) - 1
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fqd = 10**(np.log10( (fqL[:-1]*fqL[1:]) )/2.)
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@ -45,7 +48,6 @@ fqd = 10**(np.log10( (fqL[:-1]*fqL[1:]) )/2.)
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P1 = clag.clag('psd10r', [t1], [l1], [l1e], dt, fqL)
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p1 = np.ones(nfq)
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p1, p1e = clag.optimize(P1, p1)
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p1, p1e = clag.errors(P1, p1, p1e)
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9
scripts/templates/thor_submit.pbs
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9
scripts/templates/thor_submit.pbs
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@ -0,0 +1,9 @@
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#!/bin/sh -login
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#PBS -l mem=64GB
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#PBS -l nodes=1:ppn=1:research
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#PBS -l walltime=48:00:00
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#PBS -N "%NAME%"
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#PBS -j oe
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cd %ROOTDIR%
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time ~/psdlag-agn/bin/psdlag '%ROOTDIR%/%ARGSFILE%' > '%ROOTDIR%/%OUTPUTFILE%'
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