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The overall aim of Quantum Metrology with Photoelectrons Vol. 3 is to expand, explore, and illustrate new computational developments in quantum metrology with photoelectrons: specifically, the application of new python-based tools to tackle general problems in photoionization matrix element retrieval. Part I details the topic, theory and computational methods; Part II provides further numerical details and case-studies, specifically employing the generalised bootstrap retrieval protocol, which makes use of rotational wavepackets as a geometric control parameter. Problems of various size and difficulty are investigated, with the largest for an asymmetric top with 38 complex matrix elements (equivalently, a 38x38 density matrix retrieval).
Key Features:
- Interpreting experimental data.
- Extraction/reconstruction/determination of quantum mechanical properties (matrix elements, wavefunctions, density matrices) from experimental data.
- Comparison of experimental and theoretical data.
- New analysis methodologies & techniques.
- Introduction to newly-developed software platforms
Preface
Acknowledgements
Author biographies
Abstract
A note on book versions, formats, and conventions
1 Introduction
2 Quantum metrology software platform/ecosystem overview
3 Theory
4 Numerical methodologies for extracting matrix elements
Part II Extracting matrix elements—numerical methods and case studies
5 Extracting matrix elements overview
6 Basis sets for fitting
7 General fit setup and numerics
8 Case study: generalised bootstrapping for a homonuclear diatomic scattering system, N2 (D∞h)
9 Case study: generalised bootstrapping for a linear heteronuclear scattering system, OCS C( )
10 Case study: generalised bootstrapping for a general asymmetric top scattering system, CH ( )
11 Case studies: summaries, conclusions and outlook
Part III Test pages
Glossary