CITATION.bib

@software{hockett2021PEMtkGithub,
  title = {Photoelectron Metrology Toolkit (PEMtk) Github Repository},
  author = {Hockett, Paul},
  year = {2021},
  url = {https://github.com/phockett/PEMtk},
  urldate = {2022-02-18},
  DOI={10.5281/zenodo.10882996},
  publisher={Github},
  abstract = {Quantum Metrology with Photoelectrons platform data \& analysis layer - the unifiying layer (glue) for the platform. Main capabilities are development of fitting/retrieving continuum wavefunctions from experimental data; handling multi-dimensional datasets; facilitating comparison of ab initio results with experimental data.},
  keywords = {Repo,Software},
  commit = {788329b82911b2a0690323c64116aa6d19537ecc},
}

@software{hockett2021PEMtkDocs,
  title = {{{PEMtk}} - the {{Photoelectron Metrology Toolkit}} - Documentation},
  author = {Hockett, Paul},
  year = {2021},
  url = {https://pemtk.readthedocs.io},
  urldate = {2022-02-18},
  abstract = {Quantum Metrology with Photoelectrons platform data \& analysis layer - the unifiying layer (glue) for the platform. Main capibilities are fitting/retrieving continuum wavefunctions from experimental data; handling multi-dimensional datasets; facilitating comparison of ab initio results with experimental data.},
  keywords = {Documentation,Software},
}


@article{hockett2023TopicalReviewExtracting,
  title = {Topical Review: Extracting Molecular Frame Photoionization Dynamics from Experimental Data},
  shorttitle = {Topical Review},
  author = {Hockett, Paul and Makhija, Varun},
  year = {2023},
  month = may,
  journal = {Journal of Physics B: Atomic, Molecular and Optical Physics},
  volume = {56},
  number = {11},
  eprint = {2209.04301},
  primaryclass = {physics, physics:quant-ph},
  pages = {112001},
  publisher = {{IOP Publishing}},
  issn = {0953-4075},
  doi = {10.1088/1361-6455/acd03e},
  url = {https://dx.doi.org/10.1088/1361-6455/acd03e},
  urldate = {2023-05-12},
  abstract = {Methods for experimental reconstruction of molecular frame (MF) photoionization dynamics, and related properties{\textemdash}specifically MF photoelectron angular distributions (PADs) and continuum density matrices{\textemdash}are outlined and discussed. General concepts are introduced for the non-expert reader, and experimental and theoretical techniques are further outlined in some depth. Particular focus is placed on a detailed example of numerical reconstruction techniques for matrix-element retrieval from time-domain experimental measurements making use of rotational-wavepackets (i.e. aligned frame measurements){\textemdash}the `bootstrapping to the MF' methodology{\textemdash}and a matrix-inversion technique for direct MF-PAD recovery. Ongoing resources for interested researchers are also introduced, including sample data, reconstruction codes (the Photoelectron Metrology Toolkit, written in python, and associated Quantum Metrology with Photoelectrons platform/ecosystem), and literature via online repositories; it is hoped these resources will be of ongoing use to the community. Also available via Authorea https://www.authorea.com/users/71114/articles/447808-extracting-molecular-frame-photoionization-dynamics-from-experimental-data},
  archiveprefix = {arxiv},
  langid = {english},
  keywords = {Publication},
}


@book{hockett2023QuantumMetrologyPhotoelectronsONLINE,
  title = {Quantum {{Metrology}} with {{Photoelectrons}}, {{Volume}} 3: {{Analysis}} Methodologies ({{Online}}/{{HTML}} Version)},
  author = {Hockett, Paul and Makhija, Varun},
  year = {2023},
  series = {Quantum {{Metrology}} with {{Photoelectrons}}},
  volume = {3},
  publisher = {{IOP Publishing}},
  doi = {10.5281/zenodo.10044679},
  url = {https://phockett.github.io/Quantum-Metrology-with-Photoelectrons-Vol3},
  author+an = {1=lead},
  keywords = {\#nosource}
}

@book{hockett2023QuantumMetrologyPhotoelectronsIOP,
  title = {Quantum {{Metrology}} with {{Photoelectrons}}, {{Volume}} 3: {{Analysis}} Methodologies ({{IOP}} Press)},
  shorttitle = {Quantum {{Metrology}} with {{Photoelectrons}}, {{Volume}} 3},
  author = {Hockett, Paul and Makhija, Varun},
  year = {2023},
  month = dec,
  publisher = {{IOP Publishing}},
  doi = {10.1088/978-0-7503-5022-8},
  url = {https://iopscience.iop.org/book/mono/978-0-7503-5022-8},
  urldate = {2024-01-16},
  abstract = {{$<$}p{$>$}The overall aim of \emph{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).{$<$}/p{$><$}p{$>$}Key features{$<$}/p{$><$}p{$>$}{\textbullet} Interpreting experimental data.{$<$}/p{$><$}p{$>$}{\textbullet} Extraction/reconstruction/determination of quantum mechanical properties (matrix elements, wavefunctions, density matrices) from experimental data.{$<$}/p{$><$}p{$>$}{\textbullet} Comparison of experimental and theoretical data.{$<$}/p{$><$}p{$>$}{\textbullet} New analysis methodologies and techniques.{$<$}/p{$><$}p{$>$}{\textbullet} Introduction to newly-developed software platforms.{$<$}/p{$>$}},
  author+an = {1=lead},
  isbn = {978-0-7503-5022-8},
  langid = {english},
}