Quantum metrology with photoelectrons. Volume 3, Analysis methodologies / Paul Hockett with Varun Makhija.

Format:

Book

Author/Creator:

Hockett, Paul, author.

Makhija, Varun, author.

Contributor:

Institute of Physics (Great Britain), publisher.

Series:

IOP (Series). Release 23.

IOP ebooks. 2023 collection.

[IOP release $release]

IOP ebooks. [2023 collection]

Language:

English

Subjects (All):

Metrology.

Quantum measure theory.

Physical Description:

1 online resource (various pagings) : illustrations (some color).

Place of Publication:

Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2023]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

Biography/History:

Paul Hockett earned his PhD in 2008 from the University of Nottingham, UK and joined the National Research Council of Canada in 2009. Paul's research interests cover a range of topics spanning the areas of AMO (atomic, molecular, and optical), quantum, and computational physics (and physical chemistry), with a particular focus on fundamental light-matter interactions, spectroscopy, and application to complex systems.

Summary:

The overall aim of Quantum Metrology with Photoelectrons, Volume 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).

Contents:

part I. Theory and software. 1. Introduction

1.1. Topical introduction : from quantum metrology to a generalised bootstrapping protocol

1.2. Context and aims for Volume 3 : Analysis methodologies

2. Quantum metrology software platform/ecosystem overview

2.1. Analysis components

2.2. Additional tools

2.3. Python ecosystem (backends, libraries and packages)

2.4. Installation and environment set up

2.5. General platform discussion

3. Theory

3.1. Photoionization dynamics

3.2. Symmetry in photoionization

3.3. Tensor formulation of photoionization

3.4. Density matrix representation

3.5. Molecular alignment

3.6. Observables : photoelectron flux in the laboratory frame and molecular frame

3.7. Information content and sensitivity

4. Numerical methodologies for extracting matrix elements

4.1. Fitting methodologies

4.2. Fitting strategies

part II. Extracting matrix elements

numerical methods and case studies. 5. Extracting matrix elements overview

5.1. General notes on the case studies

6. Basis sets for fitting

6.1. Symmetry-defined basis sets

6.2. Computationally defined basis sets

6.3. Basis creation worked examples

6.4. Comparison with symmetry-defined and computational matrix elements

7. General fit setup and numerics

7.1. Init and pulling data

7.2. Setup with options

7.3. Compute AF-[beta]LM and simulate data

7.4. Fitting the data : configuration

7.5. Fitting the data : running fits

8. Case study : generalised bootstrapping for a homonuclear diatomic scattering system, N2 (D[infinity]h)

8.1. General setup

8.2. Load existing fit data or run fits

8.3. Post-processing and data overview

8.4. Data exploration

8.5. Classify candidate sets

8.6. Explore candidate result sets

8.7. Parameter estimation and fidelity

8.8. Using the reconstructed matrix elements

9. Case study : generalised bootstrapping for a linear heteronuclear scattering system, OCS C([infinity]v)

9.1. General setup

9.2. Load existing fit data or run fits

9.3. Post-processing and data overview

9.4. Data exploration

9.5. Classify candidate sets

9.6. Explore candidate result sets

9.7. Parameter estimation and fidelity

9.8. Using the reconstructed matrix elements

10. Case study : generalised bootstrapping for a general asymmetric top scattering system, C2H4(D2h)

10.1. General setup

10.2. Load existing fit data or run fits

10.3. Post-processing and data overview

10.4. Data exploration

10.5. Classify candidate sets

10.6. Explore candidate result sets

10.7. Parameter estimation and fidelity

10.8. Using the reconstructed matrix elements

11. Case studies : summaries, conclusions and outlook

11.1. General notes on fitting methodologies for the case studies

11.2. Retrieval fidelity

11.3. Molecular frame photoelectron angular distribution retrieval

11.4. Conclusions and outlook.

Notes:

"Version: 20231101"--Title page verso.

Includes bibliographical references.

Title from PDF title page (viewed on January 4, 2024).

Other Format:

Print version:

ISBN:

9780750350228

9780750350211

OCLC:

1416753016

Access Restriction:

Restricted for use by site license.