WimPyDD：用于计算WIMP直接检测信号的面向对象Python代码
WimPyDD: an object-oriented Python code for the calculation of WIMP direct detection signals
摘要：
我们介绍WimPyDD，一个模块化的，面向对象的和可定制的Python代码，计算准确的预测弱相互作用大质量粒子（WIMP）的直接检测实验的预期率在几乎任何情况下，包括非弹性散射，任意WIMP自旋和通用WIMP速度分布在星系晕的伽利略不变的非相对论有效理论的框架内。WimPyDD利用了直接探测信号计算中的三个主要分量的因式分解：i）威尔逊系数，其编码信号对有效理论的紫外线完成的依赖性; ii）响应函数，其取决于核物理和实验探测器的主要特征。（接受，能量分辨率，对核反冲的响应）; iii）依赖于WIMP速度分布并编码天体物理输入的晕函数。在WimPyDD中，这三个分量被单独计算和存储，用于稍后的插值，并且仅在信号评估过程的最后一步合并在一起。这使得直接检测散射率的唯象研究与WimPyDD透明和快速也当参数空间的WIMP模型有一个大的维度。
英文摘要：
We introduce WimPyDD, a modular, object-oriented and customizable Python code that calculates accurate predictions for the expected rates in Weakly Interacting Massive Particle (WIMP) direct-detection experiments within the framework of Galilean-invariant non-relativistic effective theory in virtually any scenario, including inelastic scattering, an arbitrary WIMP spin and a generic WIMP velocity distribution in the Galactic halo. WimPyDD exploits the factorization of the three main components that enter in the calculation of direct detection signals: i) the Wilson coefficients that encode the dependence of the signals on the ultraviolet completion of the effective theory; ii) a response function that depends on the nuclear physics and on the main features of the experimental detector (acceptance, energy resolution, response to nuclear recoils); iii) a halo function that depends on the WIMP velocity distribution and that encodes the astrophysical inputs. In WimPyDD these three components are calculated and stored separately for later interpolation and combined together only as the last step of the signal evaluation procedure. This makes the phenomenological study of the direct detection scattering rate with WimPyDD transparent and fast also when the parameter space of the WIMP model has a large dimensionality.
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