Simulating angular dependent electron recombination in TRANSLATE for LArTPCs

Neutrinos are elusive particles, which hardly interact with matter. They reveal the nature of supernovae and probe fundamental symmetries. Many experiments use liquid-argon time projection chambers to record the ionization trails their interactions leave behind. Turning those trails into accurate energy and topology measurements requires modeling how post-ionized electrons drift and how some undergo recombination, a phenomenon where electrons combine with their parent argon-ion. We present a first-principles extension to TRANSLATE, a Monte Carlo simulation of electron transport in liquid argon, that incorporates electron–ion recombination. Our implementation tracks electron microphysics, includes electric-field and angle dependent recombination, and outputs both recombined and escaped charge to assess quenching effects relevant for detector calorimetry. Furthermore, we compare simulated yields and angular trends to expectations from the literature, experimental measurements, and theory. This work provides an accessible and efficient framework for implementing ion recombination that can help improve LArTPC calorimetric reconstruction and detector modeling.