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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3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Systematic search of ZTF DR23 data yields catalogs of 28,504 coarse and 1,984 refined AGN flares with public release.
Estimates based on 17 years of Fermi LAT data indicate COSI may detect MeV polarization in a small number of blazar flares, with flat-spectrum radio quasars as the top targets.
citing papers explorer
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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 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.
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Detectability of Polarized Gamma-ray Emission from Blazar Flares with COSI
Estimates based on 17 years of Fermi LAT data indicate COSI may detect MeV polarization in a small number of blazar flares, with flat-spectrum radio quasars as the top targets.