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We present FlameNEST, a framework providing explicit likelihood evaluationsin noble element particle detectors using data-driven models from the NobleElement Simulation Technique. FlameNEST provides a way to perform statisticalanalyses on real data with no dependence on large, computationally expensiveMonte Carlo simulations by evaluating the likelihood on an event-by-event basisusing analytic probability elements convolved together in a single TensorFlowmultiplication. Furthermore, this robust framework creates opportunities forsimple inter-collaborative analyses which will be fundamental for the future ofexperimental dark matter physics.

FlameNEST: Explicit Profile Likelihoods with the Noble Element Simulation Technique