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iON AI
Synthesis
The search results reveal two distinct studies within the "math.SP" category. The first discusses the development of an analog front-end compatible with advanced TPCs, aimed at enhancing research in dark matter detection and neutrino studies. The second provides a practical introduction to stochastic simulations of reaction-diffusion processes, focusing on foundational methods like the Gillespie algorithm, suitable for those without prior experience in stochastic modeling.
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¦