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changed freq bins

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This commit is contained in:
caes 2017-01-31 21:09:09 -05:00
parent 9fe84e07b3
commit 2eef59ea30
1 changed files with 19 additions and 10 deletions
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25
scripts/analyze_lightcurve.py
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@ -3,9 +3,9 @@ from __future__ import unicode_literals
import numpy as np
import sys
import getopt
import clag
sys.path.insert(1, "/usr/local/science/clag/")
import clag
# For jupyter notebook
# %pylab inline
@ -20,10 +20,14 @@ except getopt.GetoptError:
# does not expect evenly spaced data in time.
dt = 0.1
#### Get the psd for the first light curve ####
### Get the psd for the #fqL = np.hstack((np.array(0.5*f1),np.logspace(np.log10(0.9*f1),
first light curve ###
# These bin values determined summer 2016 for STORM III optical/UV lightcurves
fqL = np.array([0.0049999999, 0.018619375, 0.044733049, 0.069336227, 0.10747115, 0.16658029, 0.25819945, 0.40020915, 0.62032418])
fqL = np.array([0.0049999999, 0.018619375, 0.044733049, 0.069336227,
0.10747115, 0.16658029, 0.25819945, 0.40020915,
0.62032418])
#A general rules for fqL is as follows:
#
@ -54,15 +58,18 @@ fqL = np.array([0.0049999999, 0.018619375, 0.044733049, 0.069336227, 0.10747115,
# fqL = np.concatenate(([0.5/seg_length], fqL))
#
f1 = 1/175.
f2 = 0.5/dt
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)))
#f1 = 1/175.
#f2 = 0.5/dt
#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)))
fqL = np.logspace(np.log10(0.0049999999),np.log10(0.62032418),9)
nfq = len(fqL) - 1
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).T
lc1_time, lc1_strength, lc1_strength_err =
np.loadtxt(args[0],skiprows=1).T
# for pylab: errorbar(t1,l1,yerr=l1e,fmt='o')
@ -71,7 +78,9 @@ initial_args = np.ones(nfq)
## initialize the psd class for multiple light curves ##
P1 = clag.clag('psd10r', [lc1_time], [lc1_strength], [lc1_strength_err], dt, fqL)
P1 = clag.clag('psd10r',
[lc1_time], [lc1_strength], [lc1_strength_err],
dt, fqL)
ref_psd, ref_psd_err = clag.optimize(P1, initial_args)
ref_psd, ref_psd_err = clag.errors(P1, ref_psd, ref_psd_err)