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Update candidate.py -- normalize each sub-integration independently in subints plot #11

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Update candidate.py -- normalize each sub-integration independently in subints plot #11

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19 changes: 17 additions & 2 deletions src/riptide/candidate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -232,8 +232,23 @@ def plot_subints(X, T):
T : float
Integration time in seconds
"""
__, nbins = X.shape

##
# per-subint normalization (each subint scaled independently)
nsubs, nbins = X.shape
X_norm = np.zeros_like(X, dtype=np.float32)
for i in range(nsubs):
row = X[i, :]
min_val = row.min()
max_val = row.max()

if np.isclose(min_val, max_val, atol=1e-7):
X_norm[i, :] = 0.0
else:
X_norm[i, :] = (row - min_val) / (max_val - min_val)

# use normalized subints for plotting
X = X_norm
##
X = np.hstack((X, X[:, : nbins // 2]))
__, nbins_ext = X.shape

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