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iON AI
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The search results for "math.CV" present two distinct research developments. The first describes a versatile analog front-end prototype designed for negative-ion gas and dual-phase liquid argon time projection chambers (TPCs), which are utilized in experiments related to dark matter detection and neutrino studies. The second result provides a practical guide to stochastic simulations, specifically focusing on reaction-diffusion processes, and introduces methodologies such as the Gillespie algorithm for stochastic modeling, intended for readers without prior experience in this area.
We report on the recent development of a versatile analog front-end compatible with a negative-ion $ΞΌ$-TPC for a directional dark matter search as well as a dual-phase, next-generation $\mathcal{O}$(10~kt) liquid argon TPC to study neutrino oscillations, nucleon decay, and astrophysical neutrinos. β¦
A practical introduction to stochastic modelling of reaction-diffusion processes is presented. No prior knowledge of stochastic simulations is assumed. The methods are explained using illustrative examples. The article starts with the classical Gillespie algorithm for the stochastic modelling of cheβ¦