标题： 从角分辨光电子能谱中提取自能和埃利亚斯伯格函数使用的\textsc{xARPES}代码 显示英文标题

标题： Extraction of the self energy and Eliashberg function from angle resolved photoemission spectroscopy using the \textsc{xARPES} code

摘要： 角分辨光电子能谱是一种强大的实验技术，通过电子谱函数研究各向异性多体相互作用。 现有尝试将谱函数分解为非相互作用色散和电子-声子、电子-电子和电子-杂质自能，依赖于对带结构的线性化和手动分配自能大小。 在此，我们展示如何一致地提取弯曲色散的自能。 我们将最大熵方法扩展到使用贝叶斯推断的Eliashberg函数提取，优化描述色散参数和电子-电子及电子-杂质相互作用大小的参数。 我们将在模型数据上将这些新方法与最先进的方法进行比较，然后用两个高质量的实验数据集演示其适用性。 通过第一组数据，我们确定了在TiO$_2$终止的SrTiO$_3$上二维电子液体的声子模式。 通过第二组数据，我们获得了从不同色散中提取的掺锂石墨烯的两个Eliashberg函数之间前所未有的一致性。 我们将这些功能发布在新的Python代码\textsc{xARPES}中。 显示英文摘要

摘要： Angle-resolved photoemission spectroscopy is a powerful experimental technique for studying anisotropic many-body interactions through the electron spectral function. Existing attempts to decompose the spectral function into non-interacting dispersions and electron-phonon, electron-electron, and electron-impurity self-energies rely on linearization of the bands and manual assignment of self-energy magnitudes. Here, we show how self-energies can be extracted consistently for curved dispersions. We extend the maximum-entropy method to Eliashberg-function extraction with Bayesian inference, optimizing the parameters describing the dispersions and the magnitudes of electron-electron and electron-impurity interactions. We compare these novel methodologies with state-of-the-art approaches on model data, then demonstrate their applicability with two high-quality experimental data sets. With the first set, we identify the phonon modes of a two-dimensional electron liquid on TiO$_2$-terminated SrTiO$_3$. With the second set, we obtain unprecedented agreement between two Eliashberg functions of Li-doped graphene extracted from separate dispersions. We release these functionalities in the novel Python code \textsc{xARPES}.