Exemple #1
0
	dt=time[-1]-time[0] 
	df=1.0*(dt**(-1))
	avflux = numpy.mean(lc)
	dff   = []
	freq = []
	
	pl, npoints = powcal( df, time, lc, avflux)	

	for j in range(npoints):
		
		dff.append(pl[j])
		freq.append(df*(j+1))

	freq.append(freq[-1])

	lfreq, blff, blperr = binps(npoints,freq,dff,minb,bfac)
	print len(blff)
	if first == 1:

		lcpl  = zeros(len(blff))
		first = 0

	for data in range(len(lcpl)):

		lcpl[data] += blff[data]
	print "done", curve+1, "of", ncurves

lcpl = lcpl / ncurves

nfreq    = numpy.array([])
powerlaw = []
Exemple #2
0
	dt= time[-1]-time[0] 
	df= dt**(-1)
	avflux = numpy.mean(lc)
	dff   = []
	freq = []
	
	pl, npoints = powcal( df, time, lc, avflux, bwidth)	

	for j in range(npoints):
		
		dff.append(pl[j])
		freq.append(df*(j+1))

	freq.append(freq[-1])

	lfreq, blff = binps(npoints,freq,dff)

	if first == 1:

		lcpl  = zeros(len(blff))
		first = 0

	for data in range(len(lcpl)):

		lcpl[data] += blff[data]
	print "done", curve+1, "of", ncurves

lcpl = lcpl / ncurves

nfreq    = numpy.array([])
powerlaw = []