Joint photometric cross-calibration and SED modeling in BayeSN yields G26 model with 12% NMAD scatter reduction on DES-SN5YR supernovae at z<0.7.
The Zwicky Transient Facility: Surveys and Scheduler
3 Pith papers cite this work. Polarity classification is still indexing.
abstract
We present a novel algorithm for scheduling the observations of time-domain imaging surveys. Our Integer Linear Programming approach optimizes an observing plan for an entire night by assigning targets to temporal blocks, enabling strict control of the number of exposures obtained per field and minimizing filter changes. A subsequent optimization step minimizes slew times between each observation. Our optimization metric self-consistently weights contributions from time-varying airmass, seeing, and sky brightness to maximize the transient discovery rate. We describe the implementation of this algorithm on the surveys of the Zwicky Transient Facility and present its on-sky performance.
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First blind optical identification of a z=0.153 sub-luminous GRB afterglow with Ic-BL SN, yielding a volumetric rate consistent with on-axis high-luminosity long GRBs.
A model-independent method fits blended supernova light curves as superpositions of two time-delayed components and finds only one candidate above a 12-day delay threshold in 445 ZTF Type Ia supernovae, for a 0.22% false positive rate.
citing papers explorer
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BayeSN $\times$ Dovekie: Joint Photometric Cross-calibration and SED Modelling of Type Ia Supernovae
Joint photometric cross-calibration and SED modeling in BayeSN yields G26 model with 12% NMAD scatter reduction on DES-SN5YR supernovae at z<0.7.
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Early Multiwavelength Observations of AT 2026fgk: The Luminous Afterglow to Sub-luminous GRB 260310A, Identified Independently of a Gamma-ray Trigger
First blind optical identification of a z=0.153 sub-luminous GRB afterglow with Ic-BL SN, yielding a volumetric rate consistent with on-axis high-luminosity long GRBs.
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Finding Strongly Lensed Supernovae from Blended Light Curves
A model-independent method fits blended supernova light curves as superpositions of two time-delayed components and finds only one candidate above a 12-day delay threshold in 445 ZTF Type Ia supernovae, for a 0.22% false positive rate.