cleaned up for new data

noisesplit.py

@@ -1,7 +1,7 @@
 import numpy as np
 import matplotlib.pyplot as plt
 from pathlib import Path
-from spectral import whitenoise, diag_projection, peakedness
+from spectral import whitenoise, diag_projection, peak_size
 from plotstyle import plot_style
 
 
@@ -58,7 +58,7 @@ def plot_chi2(ax, s, freqs, chi2, nsegs, rate):
         ax.text(1, 1.1, f'$N=10^{{{np.log10(nsegs):.0f}}}$',
                 ha='right', transform=ax.transAxes)
     dfreqs, diag = diag_projection(freqs, chi2, 2*fcutoff)
-    nli, nlif = peakedness(dfreqs, diag, rate, median=False)
+    nli, nlirel, nlif = peak_size(dfreqs, diag, rate, median=False)
     ax.text(0.95, 0.88, f'SI($r$)={nli:.1f}', ha='right', zorder=50,
             color='white', fontsize='medium', transform=ax.transAxes)
     cax = ax.inset_axes([1.04, 0, 0.05, 1])