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subint normalisation using vectorized peak-to-peak scaling #12

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Merged
v-morello merged 1 commit into from
Dec 3, 2025
Merged

subint normalisation using vectorized peak-to-peak scaling #12

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12 changes: 11 additions & 1 deletion src/riptide/candidate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -232,7 +232,17 @@ def plot_subints(X, T):
T : float
Integration time in seconds
"""
__, nbins = X.shape
__, nbins = X.shape
# Peak-to-Peak normalization
mins = X.min(axis=1).reshape(-1, 1)
maxs = X.max(axis=1).reshape(-1, 1)
ranges = maxs - mins

# Avoid division by zero (flat subints)
ranges[ranges == 0] = 1

# Normalize each subint row to [0, 1]
X = (X - mins) / ranges

X = np.hstack((X, X[:, : nbins // 2]))
__, nbins_ext = X.shape
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