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Filter clearly bad candidates (the ones compatible with 0) #170

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Jan 29, 2025
Merged

Filter clearly bad candidates (the ones compatible with 0) #170

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13 changes: 13 additions & 0 deletions hendrics/efsearch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2199,6 +2199,19 @@ def fft_rescale(fourier_trans):
candidate_file=outfile.replace(".csv", ""),
)

bad_pos = (results["frequency"] + results["fdot"] * results["length"]) < results[
"frequency"
] * 0.1
bad_neg = (results["frequency"] - results["fdot"] * results["length"]) < results[
"frequency"
] * 0.1
bad = bad_pos | bad_neg
if np.any(bad):
warnings.warn(
"Some candidates would have negative frequency over the length of the observations"
)
results = results[~bad]

if len(results) > 0:
results["emin"] = emin if emin else -1.0
results["emax"] = emax if emax else -1.0
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