Foraging with MUSHROOMS: A Mixed-Integer Linear Programming Scheduler for Multimessenger Target of Opportunity Searches with the Zwicky Transient Facility
B. Parazin, Michael W. Coughlin, Leo P. Singer, Vaidehi Gupta, Shreya, Anand

TL;DR
This paper introduces a new mixed-integer linear programming scheduler for multimessenger follow-up observations with the Zwicky Transient Facility, improving detection efficiency by 3-11% over existing heuristic methods.
Contribution
The paper presents a novel MILP-based scheduling algorithm tailored for Zwicky Transient Facility, incorporating variable-length blocks and a secondary optimization for slew time, outperforming previous heuristics.
Findings
Achieves 3-11% higher detection efficiency than previous heuristics.
Uses hybrid scheduling combining MILP and heuristic methods.
Demonstrates potential for improved multimessenger follow-up surveys.
Abstract
Electromagnetic follow-up of gravitational wave detections is very resource intensive, taking up hours of limited observation time on dozens of telescopes. Creating more efficient schedules for follow-up will lead to a commensurate increase in counterpart location efficiency without using more telescope time. Widely used in operations research and telescope scheduling, mixed integer linear programming (MILP) is a strong candidate to produce these higher-efficiency schedules, as it can make use of powerful commercial solvers that find globally optimal solutions to provided problems . We detail a new target of opportunity scheduling algorithm designed with Zwicky Transient Facility in mind that uses mixed integer linear programming. We compare its performance to \texttt{gwemopt}, the tuned heuristic scheduler used by the Zwicky Transient Facility and other facilities during the third…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Gamma-ray bursts and supernovae · Geophysics and Gravity Measurements
