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identify_unknown_sptypes: print UBV only match

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SGCMarkus
2024-12-02 09:49:57 +01:00
parent 87f71c386e
commit 3d92dcb1bb
1 changed files with 25 additions and 13 deletions
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identify_unknown_sptypes.py
+25 -13
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@@ -44,26 +44,38 @@ for star in bvStars:
fluxDiff = pd.DataFrame(fluxDiff) fluxDiff = pd.DataFrame(fluxDiff)
fluxDiffValColumns = fluxDiff.columns[fluxDiff.notna().iloc[0]] fluxDiffValColumns = fluxDiff.columns[fluxDiff.notna().iloc[0]]
matchingColumnsUBV = spTypeTable.columns.intersection(fluxDiffValColumns) matchingColumnsUBVIJHK = spTypeTable.columns.intersection(fluxDiffValColumns)
distancesUBV = spTypeTable[matchingColumnsUBV].sub(fluxDiff.iloc[0]).pow(2).sum(axis=1) distancesUBV = spTypeTable[matchingColumnsUBVIJHK].sub(fluxDiff.iloc[0]).pow(2).sum(axis=1)
bestMatchIndexUBV = distancesUBV.idxmin() bestMatchIndexUBVIJHK = distancesUBV.idxmin()
bestMatchNameUBV = spTypeTable.iloc[bestMatchIndexUBV, 0] bestMatchNameUBV = spTypeTable.iloc[bestMatchIndexUBVIJHK, 0]
distancesUBVweighted = ( distancesUBVIJHKweighted = (
spTypeTable[matchingColumnsUBV] spTypeTable[matchingColumnsUBVIJHK]
.sub(fluxDiff.iloc[0][matchingColumnsUBV]) .sub(fluxDiff.iloc[0][matchingColumnsUBVIJHK])
.pow(2) .pow(2)
.multiply([weights[col] for col in matchingColumnsUBV], axis=1) .multiply([weights[col] for col in matchingColumnsUBVIJHK], axis=1)
.sum(axis=1) .sum(axis=1)
) )
bestMatchIndexUBVweighted = distancesUBVweighted.idxmin() bestMatchIndexUBVIJHKweighted = distancesUBVIJHKweighted.idxmin()
bestMatchNameUBVweighted = spTypeTable.iloc[bestMatchIndexUBVweighted, 0] bestMatchNameUBVweighted = spTypeTable.iloc[bestMatchIndexUBVIJHKweighted, 0]
print(f"{star['MAIN_ID'].value[0]}: {bestMatchNameUBV}/{bestMatchNameUBVweighted} type star") distancesUBVonlyWeighted = (
spTypeTable[matchingColumnsUBVIJHK]
.sub(fluxDiff.iloc[0][matchingColumnsUBVIJHK])
.pow(2)
.multiply([1.0 if(col == "U-B" or col == "B-V") else 0.0 for col in matchingColumnsUBVIJHK], axis=1)
.sum(axis=1)
)
bestMatchIndexUBVonlyWeighted = distancesUBVonlyWeighted.idxmin()
bestMatchNameUBVonlyWeighted = spTypeTable.iloc[bestMatchIndexUBVonlyWeighted, 0]
print(f"--- {star['MAIN_ID'].value[0]} ---")
print("Table entry: ") print("Table entry: ")
print(spTypeTable.iloc[bestMatchIndexUBV:bestMatchIndexUBV+1]) print(spTypeTable.iloc[bestMatchIndexUBVIJHK:bestMatchIndexUBVIJHK+1])
print("Weighted Table entry:") print("Weighted Table entry:")
print(spTypeTable.iloc[bestMatchIndexUBVweighted:bestMatchIndexUBVweighted+1]) print(spTypeTable.iloc[bestMatchIndexUBVIJHKweighted:bestMatchIndexUBVIJHKweighted+1])
print("UBV Table entry:")
print(spTypeTable.iloc[bestMatchIndexUBVonlyWeighted:bestMatchIndexUBVonlyWeighted+1])
print("Star: ") print("Star: ")
print(fluxDiff) print(fluxDiff)
print("-------------------------------------------------------------------------------------") print("-------------------------------------------------------------------------------------")