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PyARPES: An analysis framework for multimodal angle-resolved photoemission spectroscopies

机译:PYARPES:用于多模式角度分辨的光曝光光谱的分析框架

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The advent of higher resolution and throughput photoemission spectroscopy experiments has made angle-resolved photoemission spectroscopy (ARPES) a critical tool for the study of quantum materials. The simultaneous development of novel ARPES techniques, including nano/μ-ARPES, spin-resolved ARPES, and pump-probe ARPES mirrors the expansion in scanning modes for scanning tunneling microscopy, which made scanning probe methods the gold standard for driving insights into surface physics. In this paper, we introduce PyARPES, an open source and modular data analysis framework for angle-resolved photoemission spectroscopies. We highlight PyARPES’ current capabilities for the analysis of the large photoemission datasets created by nano-ARPES and pump-probe ARPES experiments, show how PyARPES fulfills current data analysis needs for ARPES analysis, and discuss prospects for the future of analysis techniques enabled by PyARPES.
机译:更高分辨率和吞吐量光扫描谱实验的出现使角度分辨的光曝光光谱(ARPES)进行了一项批判性工具,用于研究量子材料。新型ARPES技术的同时开发,包括纳米/μ-ARPE,旋转分辨的ARPE和泵探针ARPES反映了用于扫描隧道显微镜的扫描模式的膨胀,这使得扫描探头方法是用于驾驶洞察力的金标准。在本文中,我们介绍了PyArpes,一种用于角度分辨的光曝光光谱的开源和模块化数据分析框架。我们突出了PyArpes的当前功能,用于分析纳米ARPES和泵探针ARPES实验,展示PyArpes如何满足当前数据分析的ARPES分析需求,并讨论PyArpes所支持的分析技术的未来前景。

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