flaredetector: add file to show starts with unknown spectral type

show_unknown_sptype_stars.py

@@ -0,0 +1,90 @@
+from main.astrodatadownloader.astrodatadownloader import *
+from main.astrodatagui.db.StarsDB import StarDB
+from astroquery.simbad import Simbad
+import concurrent.futures
+
+import pandas as pd
+
+DEFAULT_DB = "stars.db"
+
+starDB: StarDB = StarDB.getInstance(DEFAULT_DB)
+simbad = Simbad()
+simbad.add_votable_fields("sptype")
+simbad.add_votable_fields("velocity")
+simbad.add_votable_fields("diameter")
+simbad.add_votable_fields("distance")
+
+allUnknownStars = starDB.getAllStarsWithSpType("-")
+print(allUnknownStars)
+gaiaNames = []
+
+for star in allUnknownStars:
+    altNames = starDB.getStarAltNames(star)
+    for altName in altNames[:-1]:
+        if(altName[0].startswith("Gaia DR3")):
+            gaiaNames.append({"mainName": star,
+                              "gaiaName": altName[0]})
+            break
+
+gaiaNames = pd.DataFrame(gaiaNames)
+
+kicNames = []
+
+for star in allUnknownStars:
+    altNames = starDB.getStarAltNames(star)
+    for altName in altNames[:-1]:
+        if(altName[0].startswith("KIC")):
+            kicNames.append({"mainName": star,
+                              "kicName": altName[0]})
+            break
+
+kicNames = pd.DataFrame(kicNames)
+
+nonGaiaStars = []
+for star in allUnknownStars:
+    if(star not in gaiaNames["mainName"].values):
+        nonGaiaStars.append({"mainName": star})
+nonGaiaStars = pd.DataFrame(nonGaiaStars)
+
+nonKicStars = []
+for star in allUnknownStars:
+    if(star not in gaiaNames["mainName"].values):
+        nonKicStars.append({"mainName": star})
+nonKicStars = pd.DataFrame(nonKicStars)
+
+
+#print(gaiaNames)
+#print(nonGaiaStars)
+print(kicNames)
+#print(nonKicStars)
+
+KeplerM = pd.read_csv("D:/Masterthesis/ressources/akthukair_AFD/Results/M-type-superflares.csv")
+KeplerK = pd.read_csv("D:/Masterthesis/ressources/akthukair_AFD/Results/K-type-superflares.csv")
+KeplerG = pd.read_csv("D:/Masterthesis/ressources/akthukair_AFD/Results/G-type-superflares.csv")
+KeplerF = pd.read_csv("D:/Masterthesis/ressources/akthukair_AFD/Results/F-type-superflares.csv")
+KeplerA = pd.read_csv("D:/Masterthesis/ressources/akthukair_AFD/Results/A-type-superflares.csv")
+
+#kicBasedSP = []
+#for fullKIC in kicNames["kicName"].values:
+#    kic = int(fullKIC[4:])
+#    if(kic in KeplerM["kepler_id"].values):
+#        kicBasedSP.append("M")
+#    elif(kic in KeplerK["kepler_id"].values):
+#        kicBasedSP.append("K")
+#    elif(kic in KeplerG["kepler_id"].values):
+#        kicBasedSP.append("G")
+#    elif(kic in KeplerF["kepler_id"].values):
+#        kicBasedSP.append("F")
+#    elif(kic in KeplerA["kepler_id"].values):
+#        kicBasedSP.append("A")
+#    else:
+#        print("No Match")
+#        kicBasedSP.append("-")
+
+#kicNames["spType"] = kicBasedSP
+
+#print(kicNames)
+#for ind, row in kicNames.reset_index().iterrows():
+#    mainName = row["mainName"]
+#    spType = row["spType"]
+#    starDB.updateStarInfoSpType(mainName, spType)