TRIQS/SOM 2.0: Implementation of the stochastic optimization with consistent constraints for analytic continuation

TRIQS /SOM is a numerical analytic continuation package first presented in [Comp. Phys. Comm. 239 (2019) 166–183]. Version 2.0 brings a number of new features, most notably a complete implementation of the Stochastic Optimization with Consistent Constraints protocol. Other additions include support for user-supplied covariance matrices of correlated input data, and a new family of integral kernels for fermionic Green's functions with enforced particle-hole symmetry. The code base has been updated to rely on the recent version 3.1 of the TRIQS library, which also implies moving away from the discontinued Python 2.7 to Python 3.TRIQS/SOM是一款数值解析延拓（numerical analytic continuation）软件包，首次发表于[Comp. Phys. Comm. 239 (2019) 166–183]。其2.0版本新增多项功能，最显著的是完整实现了带一致约束的随机优化（Stochastic Optimization with Consistent Constraints）协议。其余更新包括支持用户为关联输入数据提供自定义协方差矩阵，以及针对施加粒子-空穴对称性约束的费米子格林函数（fermionic Green's functions）的一类新型积分核。该代码库已升级至依赖最新版TRIQS库3.1，这同时意味着从已停止维护的Python 2.7迁移至Python 3。