PDRS is an O(N) algorithm for identifying high-activity regions in time series by seeding at local maxima and using gradient-aware search, achieving performance comparable to Bayesian Blocks.
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A modular framework combining physics-informed neural networks, Ornstein-Uhlenbeck fitting, extreme value theory, and vision-language models detects 51 transient flares in 9,258 SDSS Stripe 82 quasar light curves.
Systematic search of ZTF DR23 data yields catalogs of 28,504 coarse and 1,984 refined AGN flares with public release.
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PDRS : A Linear $\mathcal{O}(N)$ Algorithm for Segmentation of High-Activity Regions in Irregularly Sampled Time Series
PDRS is an O(N) algorithm for identifying high-activity regions in time series by seeding at local maxima and using gradient-aware search, achieving performance comparable to Bayesian Blocks.
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A Statistical-AI Framework for Detecting Transient Flares in SDSS Stripe 82 Quasar Light Curves
A modular framework combining physics-informed neural networks, Ornstein-Uhlenbeck fitting, extreme value theory, and vision-language models detects 51 transient flares in 9,258 SDSS Stripe 82 quasar light curves.
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A Systematic Search for Active Galactic Nucleus Flares in ZTF Data Release 23
Systematic search of ZTF DR23 data yields catalogs of 28,504 coarse and 1,984 refined AGN flares with public release.