000 06659nam a2200745 i 4500
001 9780750350228
003 IOP
005 20251030124216.0
006 m eo d
007 cr cn |||m|||a
008 240104s2023 enka fob 000 0 eng d
020 _a9780750350228
_qebook
020 _a9780750350211
_qmobi
020 _z9780750350204
_qprint
020 _z9780750350235
_qmyPrint
024 7 _a10.1088/978-0-7503-5022-8
_2doi
035 _a(CaBNVSL)thg00083715
035 _a(OCoLC)1416753016
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQC174.17.M4
_bH637 2018eb vol. 3
072 7 _aPHQ
_2bicssc
072 7 _aSCI057000
_2bisacsh
100 1 _aHockett, Paul,
_eauthor.
_996600
245 1 0 _aQuantum metrology with photoelectrons.
_nVolume 3,
_pAnalysis methodologies /
_cPaul Hockett with Varun Makhija.
264 1 _aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
_bIOP Publishing,
_c[2023]
300 _a1 online resource (various pagings) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _a[IOP release $release]
490 1 _aIOP ebooks. [2023 collection]
500 _a"Version: 20231101"--Title page verso.
504 _aIncludes bibliographical references.
505 0 _apart 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
505 8 _a2. 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
505 8 _a3. 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
505 8 _a4. Numerical methodologies for extracting matrix elements -- 4.1. Fitting methodologies -- 4.2. Fitting strategies
505 8 _apart II. Extracting matrix elements--numerical methods and case studies. 5. Extracting matrix elements overview -- 5.1. General notes on the case studies
505 8 _a6. 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
505 8 _a7. 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
505 8 _a8. 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
505 8 _a9. 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
505 8 _a10. 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
505 8 _a11. 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.
520 3 _aThe 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).
521 _aResearch scientists & advanced students in quantum metrology and AMO physics.
530 _aAlso available in print.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
545 _aPaul 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.
588 0 _aTitle from PDF title page (viewed on January 4, 2024).
650 0 _aMetrology.
_960464
650 0 _aQuantum measure theory.
_996601
650 7 _aQuantum physics (quantum mechanics & quantum field theory)
_2bicssc
650 7 _aSCIENCE / Physics / Quantum Theory.
_2bisacsh
700 1 _aMakhija, Varun,
_eauthor.
_996602
710 2 _aInstitute of Physics (Great Britain),
_epublisher.
_917702
776 0 8 _iPrint version:
_z9780750350204
_z9780750350235
830 0 _aIOP (Series).
_pRelease 23.
830 0 _aIOP ebooks.
_p2023 collection.
856 4 0 _uhttps://iopscience.iop.org/book/mono/978-0-7503-5022-8
942 _cE-Books
999 _c68386
_d68386