Comparison of the Pi of the Sky photometry improving methods.

During my presentation I will describe three alghoritms which are used to improve the photometry of the Pi of the Sky data. I will tell about detecting bad frames or measurements affected by bad weather conditions or the instrumental errors. Later I describe the spectral correction used to calibrate our data, which give us the additional information about the quality of the analysed measurements. I will tell also about the statistical way to detect bad frames and give some examples of the analysed stars. I will compare these three methods and show how we try to find the best combination of the designated measurements quality comming from the analyzed stars. At the end of my presentation I will tell about the results of the Monte Carlo modelling period detection quality, based on the uncorrected light curve and the light curve after removing bad quality measurements.