TIMEDELn: A programme for the detection and parametrization of overlapping resonances using the time-delay method

TIMEDELn implements the time-delay method of determining resonance parameters from the characteristic Lorentzian form displayed by the largest eigenvalues of the time-delay matrix. TIMEDELn constructs the time-delay matrix from input K-matrices and analyses its eigenvalues. This new version implements multi-resonance fitting and may be run serially or as a high performance parallel code with three levels of parallelism. TIMEDELn takes K-matrices from a scattering calculation, either read from a file or calculated on a dynamically adjusted grid, and calculates the time-delay matrix. This is then diagonalized, with the largest eigenvalue representing the longest time-delay experienced by the scattering particle. A resonance shows up as a characteristic Lorentzian form in the time-delay: the program searches the time-delay eigenvalues for maxima and traces resonances when they pass through different eigenvalues, separating overlapping resonances. It also performs the fitting of the calculated data to the Lorentzian form and outputs resonance positions and widths. Any remaining overlapping resonances can be fitted jointly. The branching ratios of decay into the open channels can also be found. The program may be run serially or in parallel with three levels of parallelism. The parallel code modules are abstracted from the main physics code and can be used independently.

NOTE: this version of the dataset corrects an editorial error in the spelling of a contributor's surname.

TIMEDELn 实现了基于时延矩阵最大特征值所呈现的典型洛伦兹（Lorentzian）形式，来确定共振参数的时延分析方法。TIMEDELn 可从输入的K矩阵（K-matrices）构建时延矩阵，并对其特征值开展分析。此新版本支持多共振拟合功能，既可以串行模式运行，也可作为具备三级并行机制的高性能并行代码执行。TIMEDELn 可从散射计算中获取K矩阵：这些K矩阵既可从文件读取，也可在动态调整的计算网格上直接生成，随后程序将据此计算时延矩阵。随后对该时延矩阵进行对角化处理，其中最大特征值对应散射粒子所经历的最长时延。共振现象会在时延特征值中呈现为典型的洛伦兹形式：程序会搜索时延特征值的极大值点，并追踪跨越不同特征值的共振过程，以此分离重叠的共振峰。此外，程序还可将计算得到的数据拟合至洛伦兹形式，并输出共振位置与共振宽度。对于剩余的未完全分离的重叠共振，也可联合进行拟合。同时还可求解粒子衰变至各开放通道的分支比。该程序既可采用串行模式运行，也可依托三级并行机制实现并行运算。其并行代码模块已从核心物理代码中抽象分离，可独立调用使用。
注意：本版本数据集修正了贡献者姓氏拼写的编校失误。