论文标题
有限的嘈杂Matsubara数据的分析延续
Analytic continuation from limited noisy Matsubara data
论文作者
论文摘要
本说明提出了一种新算法，用于从有限的嘈杂Matsubara数据估算光谱函数。我们考虑分子和凝结的物质情况。在每种情况下，该算法构建了Matsubara数据的插值，并使用共形映射和Prony的方法来估计光谱函数。提供数值结果以证明算法的性能。
This note proposes a new algorithm for estimating spectral function from limited noisy Matsubara data. We consider both the molecule and condensed matter cases. In each case, the algorithm constructs an interpolant of the Matsubara data and uses conformal mapping and Prony's method to estimate the spectral function. Numerical results are provided to demonstrate the performance of the algorithm.
