Scalable, Advanced Machine Learning Based Approaches for Stellar Flare Identification: Application to TESS Short-cadence Data and Analysis of a New Flare Catalog

Keyphrases

• Advanced Machine Learning 100%
• Coronal Heating 25%
• Curve Characteristic 25%
• Deep Neural Network 25%
• Detection Sensitivity 25%
• Early-type 25%
• F1 Score 25%
• Flare Frequency 25%
• Flare Stars 25%
• Frequency Distribution 25%
• Frequency Uncertainty 25%
• Hot Subdwarfs 25%
• Light Curves 50%
• Low Amplitude 25%
• Low-mass 25%
• Luminosity 25%
• M Dwarfs 25%
• Machine Learning Models 25%
• Machine Learning-based Approach 100%
• Model Performance 25%
• Power Law 25%
• Precision-recall 25%
• Random Forest Algorithm 25%
• Rotation Period 100%
• Small Event 25%
• Stellar Flares 100%
• Stellar Properties 25%
• Strong Correlation 25%
• Survey Data 25%
• White Dwarfs 25%
• X-ray Emission 50%
• XGBoost Algorithm 25%

Physics

• Flare Stars 50%
• Frequency Distribution 50%
• Light Curve 100%
• M Dwarf Stars 50%
• Machine Learning 100%
• Neural Network 50%
• Stellar Flare 100%
• Subdwarfs 50%
• White Dwarf 50%
• X Ray 100%