Big data spectromicroscopy: achieving new observables in ARPES from 2D surface maps
ORAL
Abstract
Topological insulators (TIs) are bulk semiconductors that manifest spin-helical conducting surface states due to the topological bulk-boundary correspondence principle. Control and deeper understanding of the surface environment is thus of vital importance for long-term technological goals. In this talk, I will describe a data acquisition and analysis framework termed sparse big data (SBD) spectroscopy, in which one rapidly maps a sample surface to resolve the variation of electronic structure as a function of local environment. Leveraging the large data set enables one to realize the analog of a multi-dimensional doping series. I will present examples demonstrating that the fine ‘control’ this entails can be used to unlock new experimental observables such as a hybridization-like interplay between the surface and bulk electronic states in a TI. I will also touch on likely avenues for future development involving convolutional neural networks and new data visualization strategies.
*This research used resources of the Advanced Light Source, a DOE Office of Science User Facility. Work at NYU was supported by the MRSEC Program of the NSF. Synthesis and analysis instrumentation at NYU is supported by the NSF and by the Gordon and Betty Moore Foundation’s EPiQS Initiative.
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Presenters
Erica Kotta
Department of Physics, New York University, New York, NY, USA
New York Univ NYU
Authors
Erica Kotta
Department of Physics, New York University, New York, NY, USA
New York Univ NYU
Lin Miao
Department of Physics, New York University, New York, NY, USA
Southeast University
Yishuai Xu
Department of Physics, New York University, New York, NY, USA
New York Univ NYU
Stanley A Breitweiser
Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, USA
University of Pennsylvania
Chris Jozwiak
Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Lawrence Berkeley National Laboratory
Advanced Light Source, Lawrence Berkeley National Laboratory
Advanced Light Source
Advanced Light Source, Lawrence Berkeley National Lab
Aaron Bostwick
Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Advanced Light Source, Lawrence Berkeley National Laboratory
Advanced Light Source
Advanced Light Source, Lawrence Berkeley National Lab
Eli Rotenberg
Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Lawrence Berkeley National Laboratory
Lawrence Berkeley National Lab, Advanced Light Source
Advanced Light Source, Lawrence Berkeley National Laboratory
Advanced Light Source
Advanced Light Source, Lawrence Berkeley National Lab
LBNL
Wenhan Zhang
Rutgers Department of Physics and Astronomy, Rutgers University, Piscataway, NJ, USA
Weida Wu
Rutgers Department of Physics and Astronomy, Rutgers University, Piscataway, NJ, USA
Department of Physics and Astronomy, Rutgers, The State University of New Jersey
Rutgers University
Department of Physics and Astronomy, Rutgers University
Takehito Suzuki
Massachusetts Institute of Technology, Department of Physics, Cambridge, MA, USA
Massachusetts Institute of Technology MIT
Massachusetts Institute of Technology
Joseph Checkelsky
Massachusetts Institute of Technology, Department of Physics, Cambridge, MA, USA
Massachusetts Institute of Technology MIT
Department of Physics, Massachusetts Institute of Technology
Massachusetts Institute of Technology
Physics, Massachusetts Institute of Technology
Lewis Wray
Department of Physics, New York University, New York, NY, USA