"The Posterior Sample Points' SLHA Files from the Bayesian Fits of the Phenomenological MSSM"

The Posterior Sample Points' SLHA Files from the Bayesian Fits of the Phenomenological MSSM (pMSSM) to indirect collider and dark matter data. The motivation for the pMSSM and the fitting of the parameters are described in the publications. Each of the SLHA files passed all the constrains from dark matter, electroweak physics observables, B-physics observables, Higgs boson and sparticle mass limits from LEP and the Tevatron experiments. Each of the two data files are independent posterior samples that come from the 25 parameters fit using `nested sampling' Monte Carlo techniques in the context of logarithmic or linear prior distributions of the parameters.

本数据集包含针对现象学最简超对称标准模型（Phenomenological MSSM，pMSSM），以间接对撞机与暗物质数据为依据开展贝叶斯拟合所得后验样本点对应的SLHA（Supersymmetric Les Houches Accord）文件。有关pMSSM的构建动机与参数拟合方法已在相关发表学术文献中详述。所有SLHA文件均通过了暗物质、电弱物理可观测量、B物理可观测量，以及LEP与Tevatron实验给出的希格斯玻色子及超对称粒子质量限制的全部约束条件。本数据集包含两份独立的后验样本文件，二者均基于参数的对数或线性先验分布，采用嵌套采样蒙特卡洛技术对25个参数进行拟合得到。