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Master_thesis / thesis / main.out
\BOOKMARK [1][-]{section.1}{Introduction}{}% 1
\BOOKMARK [1][-]{section.2}{Model fitting}{}% 2
\BOOKMARK [2][-]{subsection.2.1}{Maximum Likelihood}{section.2}% 3
\BOOKMARK [2][-]{subsection.2.2}{Requirements}{section.2}% 4
\BOOKMARK [2][-]{subsection.2.3}{Existing libraries}{section.2}% 5
\BOOKMARK [3][-]{subsubsection.2.3.1}{General fitting}{subsection.2.3}% 6
\BOOKMARK [3][-]{subsubsection.2.3.2}{HEP specific}{subsection.2.3}% 7
\BOOKMARK [1][-]{section.3}{zfit introduction}{}% 8
\BOOKMARK [2][-]{subsection.3.1}{TensorFlow backend}{section.3}% 9
\BOOKMARK [1][-]{section.4}{zfit implementation}{}% 10
\BOOKMARK [2][-]{subsection.4.1}{Spaces and Dimensions}{section.4}% 11
\BOOKMARK [3][-]{subsubsection.4.1.1}{Limits}{subsection.4.1}% 12
\BOOKMARK [2][-]{subsection.4.2}{Data handling}{section.4}% 13
\BOOKMARK [2][-]{subsection.4.3}{Model}{section.4}% 14
\BOOKMARK [3][-]{subsubsection.4.3.1}{Parametrization}{subsection.4.3}% 15
\BOOKMARK [3][-]{subsubsection.4.3.2}{Implementing a custom PDF}{subsection.4.3}% 16
\BOOKMARK [3][-]{subsubsection.4.3.3}{Sampling}{subsection.4.3}% 17
\BOOKMARK [3][-]{subsubsection.4.3.4}{Extended PDFs}{subsection.4.3}% 18
\BOOKMARK [2][-]{subsection.4.4}{Loss}{section.4}% 19
\BOOKMARK [2][-]{subsection.4.5}{Minimisation}{section.4}% 20
\BOOKMARK [3][-]{subsubsection.4.5.1}{Different optimisations}{subsection.4.5}% 21
\BOOKMARK [2][-]{subsection.4.6}{Results and uncertainties}{section.4}% 22
\BOOKMARK [3][-]{subsubsection.4.6.1}{Parameter uncertainties}{subsection.4.6}% 23
\BOOKMARK [1][-]{section.5}{Performance}{}% 24
\BOOKMARK [2][-]{subsection.5.1}{Gaussian models}{section.5}% 25
\BOOKMARK [2][-]{subsection.5.2}{Angular analysis}{section.5}% 26
\BOOKMARK [1][-]{section.6}{Beyond standard fitting}{}% 27
\BOOKMARK [2][-]{subsection.6.1}{Amplitude fits}{section.6}% 28
\BOOKMARK [2][-]{subsection.6.2}{phasespace}{section.6}% 29
\BOOKMARK [2][-]{subsection.6.3}{Dalitz implementation}{section.6}% 30
\BOOKMARK [1][-]{section.7}{Conclusion and outlook}{}% 31
\BOOKMARK [1][-]{appendix.A}{Likelihood}{}% 32
\BOOKMARK [1][-]{appendix.B}{Backend}{}% 33
\BOOKMARK [2][-]{subsection.B.1}{HPC and paradigms}{appendix.B}% 34
\BOOKMARK [2][-]{subsection.B.2}{Working with TensorFlow}{appendix.B}% 35
\BOOKMARK [3][-]{subsubsection.B.2.1}{Caching}{subsection.B.2}% 36
\BOOKMARK [1][-]{appendix.C}{Implementation}{}% 37
\BOOKMARK [2][-]{subsection.C.1}{Spaces definition}{appendix.C}% 38
\BOOKMARK [2][-]{subsection.C.2}{General limits}{appendix.C}% 39
\BOOKMARK [2][-]{subsection.C.3}{Data formats}{appendix.C}% 40
\BOOKMARK [2][-]{subsection.C.4}{Data batching}{appendix.C}% 41
\BOOKMARK [2][-]{subsection.C.5}{Dependency management}{appendix.C}% 42
\BOOKMARK [2][-]{subsection.C.6}{Base Model}{appendix.C}% 43
\BOOKMARK [3][-]{subsubsection.C.6.1}{Public methods}{subsection.C.6}% 44
\BOOKMARK [3][-]{subsubsection.C.6.2}{Hooks}{subsection.C.6}% 45
\BOOKMARK [3][-]{subsubsection.C.6.3}{Norm range handling}{subsection.C.6}% 46
\BOOKMARK [3][-]{subsubsection.C.6.4}{Multiple limits handling}{subsection.C.6}% 47
\BOOKMARK [3][-]{subsubsection.C.6.5}{Most efficient method}{subsection.C.6}% 48
\BOOKMARK [3][-]{subsubsection.C.6.6}{Functors}{subsection.C.6}% 49
\BOOKMARK [2][-]{subsection.C.7}{Sampling techniques}{appendix.C}% 50
\BOOKMARK [2][-]{subsection.C.8}{Loss defined}{appendix.C}% 51
\BOOKMARK [1][-]{appendix.D}{Performance studies}{}% 52
\BOOKMARK [2][-]{subsection.D.1}{Hardware specification}{appendix.D}% 53
\BOOKMARK [2][-]{subsection.D.2}{Profiling TensorFlow}{appendix.D}% 54
\BOOKMARK [2][-]{subsection.D.3}{Additional profiling}{appendix.D}% 55
\BOOKMARK [1][-]{figure.caption.18}{References}{}% 56