3 papers
astro-ph.IM2026
Data-driven acquisition offset correction for telescope networks using machine learning and sensitivity analysis
Jackson Zariski, Kaitlin Kratter, Mark Bowman +1
Reliable target acquisition is essential for maximizing observing efficiency, particularly for robotic telescope networks that operate across many sites, instruments, and environme…
math.CO2026
Recursive Record Filtering and Longest Decreasing Subsequences
Jackson Zariski, Kaitlin Kratter
We consider a recursive record-filtering procedure, which we informally call Disappear-Sort, acting as a sort of parallel to traditional patience sorting. Let denote the numb…
math.DS2021
Inelastic Particle Clusters from Cumulative Momenta
Chun-Kai Kevin Chien, Aidan Mager, Laurel Safranek +1
We consider a physical system comprising discrete massive particles on the real line whose trajectories interact via perfectly inelastic collision, also known as sticky particles.…