Event-type partitioning of CTAO Monte-Carlo events by predicted direction error yields ~25% better sensitivity and 25-50% better spatial resolution when IRFs are computed and analyzed jointly per type.
Acero, et al., Gammapy: Python toolbox for gamma-ray as- tronomy, 2025
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Enhancing the Cherenkov Telescope Array Observatory high-level performance through an event-type-based analysis
Event-type partitioning of CTAO Monte-Carlo events by predicted direction error yields ~25% better sensitivity and 25-50% better spatial resolution when IRFs are computed and analyzed jointly per type.