flaredetector: convert MaskedArrays to numpy arrays

MaskedArrays can not be pickled, and cause a crash when moving
the data back to the main thread

main/flaredetector/flaredetector.py

@@ -2,7 +2,6 @@ import numpy as np
 from scipy.optimize import curve_fit
 from .util import *
 
-
 def GaussExpo(x, Peak, l, w):
     sigma = 1/w
     res1 = Peak * np.exp(-(x**2)/(2 * sigma**2))
@@ -39,7 +38,7 @@ def calculateFitForFlare(lightcurve, peakIndex):
     pcovDiag = np.diag(pcov)
     fit = GaussExpo(flareFitDataPoints, Peak, *popt)
     flareFitDataPoints = flareFitDataPoints + peakIndex
-    return Peak+1, flareFitDataPoints, fit+1
+    return np.array(Peak+1), flareFitDataPoints, np.array(fit+1)
 
 def calculateFlareFitsForLightcurve(lightcurve, num=100, distance=1, height=0.05):
     maxIndices = findMaxIndices(lightcurve, num, distance=distance, height=height, sortByHighest=True)
@@ -55,7 +54,7 @@ def calculateFlareFitsForLightcurve(lightcurve, num=100, distance=1, height=0.05
             fits.append({"FlareFit": fit,
                          "FlareFitTime": lightcurve.time[flareFitDataPoints],
                          "StandardIndex": flareFitDataPoints,
-                          "Quality": lightcurve.quality[flareFitDataPoints]})
+                         "Quality": lightcurve.quality[flareFitDataPoints]})
         except Exception as error:
             pass
             #print("Flare fit exception: ", error)