ALPaca: The ALP Automatic Computing Algorithm
Jorge Alda, Marta Fuentes Zamoro, Luca Merlo, Xavier Ponce D\'iaz, Stefano Rigolin
TL;DR
ALPaca is an open-source Python library designed for detailed phenomenological studies of Axion-Like Particles, supporting flexible coupling definitions, RG evolution, and extensive observable computations, especially in meson decays.
Contribution
It introduces a comprehensive, flexible framework for ALP phenomenology, including RG evolution, matching, and observables, with support for UV completions and experimental constraints.
Findings
Enables detailed ALP phenomenology analysis
Supports RG evolution and matching for arbitrary scales
Includes tools for experimental constraints and visualization
Abstract
The ALP Automatic Computing Algorithm, ALPaca, is an open source Python library devoted to studying the phenomenology of Axion-Like Particles (ALPs) with masses in the ranges GeV. ALPaca provides a flexible and comprehensive framework to define ALP couplings at arbitrary energy scales, perform Renormalisation Group evolution and matching down to the desired low energy scale, and compute a large variety of ALP observables, with particular care to the meson decay sector. The package includes support for UV completions, experimental constraints, and visualisation tools, enabling both detailed analyses and broad parameter space exploration.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Dark Matter and Cosmic Phenomena