Tootfinder

Detecting False Positives With Derived Planetary Parameters: Experimenting with the KEPLER Dataset
Ayan Bin Rafaih, Zachary Murray
https://arxiv.org/abs/2508.13801 https://

Detecting False Positives With Derived Planetary Parameters: Experimenting with the KEPLER Dataset
Recent developments in computational power and machine learning techniques motivate their use in many different astrophysical research areas. Consequently, many machine learning models have been trained to classify exoplanet transit signals - typically done by using time series light curves. In this work, we attempt a different approach and try to improve the efficiency of these algorithms by fitting only derived planetary parameters, instead of full time-series light curves. We investigate and…