发表机构
Durham University; University of Cambridge; Université de Lyon, Université Claude Bernard Lyon 1（杜伦大学; 剑桥大学; 里昂大学，克莱贝尔·贝尔纳里昂第一大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
SET-ANUBIS是用于ANUBIS探测器长寿命粒子灵敏度研究的开源Python模块化框架，遵循端口-适配器架构，含可复现性套件，支持端到端研究与可审计的模型对比。
AI 中文摘要
SET-ANUBIS（Simulation, accEptance and sensiTivity studies framework for ANUBIS）是一个开源Python框架，用于对拟议中的ANUBIS探测器开展长寿命粒子信号的端到端研究。它从Universal FeynRules Output模型或用户提供的事例率入手，开放模型参数与粒子内容，计算衰变宽度、分支比和寿命，通过Pythia8或MadGraph准备或运行事例产生，导入HepMC事例记录，对ATLAS cavern和ANUBIS径迹站进行建模，并应用可配置的几何、运动学和孤立度要求序列。该实现遵循端口-适配器架构，使物理领域逻辑与外部产生器、持久化存储及可视化分离。支持扫描的SQLite目录和内容可寻址存储保存卡片、元数据和紧凑的可选择事例束，同时避免重复制品。v1.0.0版本引入了确定性可复现性套件，包含五个独立场景（R1-R5），涵盖模型访问、分支比插值、Pythia命令生成、MadGraph卡片生成以及对紧凑HepMC2样本的完整选择链。最终场景生成机器可读JSON和独立HTML选择轨迹，记录累积的裁剪流和事例级通过/未通过转换。可选的科学仪表板提供事例、几何、实验 campaign 和来源检查，而不改变物理结果。该框架、文档和参考输入根据GNU GPL v3或更高版本分发，旨在支持可审计的ANUBIS灵敏度研究及替代长寿命粒子模型的直接比较。
英文摘要
The proposed ANUBIS detector has been designed to search for Long-Lived Particle (LLP) signatures, which have become a focus for a variety of experiments within recent years. Due to the variety of possible LLP models and the need for directly comparable sensitivity results highlighting the potential coverage of ANUBIS, the SET-ANUBIS (Simulation, accEptance and sensiTivity studies framework for ANUBIS) framework has been developed. SET-ANUBIS is a flexible open-source Python framework that can perform full sensitivity studies of LLP signatures for the ANUBIS detector, allowing others to directly produce ANUBIS-like limits or even implement other geometries and detectors. It starts from a Universal FeynRules Output model or user-supplied rates; it exposes model parameters and particle content for user modification, and evaluates decay widths, branching ratios and lifetimes. MARTY can also be used to compute matrix elements, decay widths, branching ratios, and cross-sections. Then the framework prepares or runs event generation through Pythia8 or MadGraph, ingests HepMC event records, models the geometry of the ATLAS cavern and ANUBIS tracking stations, and applies a configurable sequence of geometric, kinematic and isolation requirements to select a set of surviving LLP candidates for evaluation. The implementation follows a ports-and-adapters architecture so that the core logic remains separate from external generators, persistent storage and visualisation. A scan-aware SQLite catalogue and content-addressed store preserve cards, metadata and compact selection-ready event bundles while avoiding duplicate artifacts. A pre-release version of the SET-ANUBIS framework has already been used to successfully derive the sensitivity of ANUBIS to three LLP benchmark models involving a Higgs portal and a Heavy Neutral Lepton model.
Comments22 pages, v1.0.0 of SET-ANUBIS. Corrected minus sign in the W-HNL Lagrangian
