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From Belle to Belle II

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Part of the book series: Springer Theses ((Springer Theses))

Abstract

During this thesis, the full \(\Upsilon (4\text {S})\) dataset of the Belle experiment and large amounts of the available Monte Carlo data were converted into the new data-format used by Belle II. Therefore, it is possible to evaluate the reliability and performance of the newly developed analysis methods, in particular data-driven techniques, before a comparable dataset from the Belle II experiment is available.

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Notes

  1. 1.

    Enumerated from 7 to 73 using only odd numbers and skipping the numbers 29, 57 and 59 for reasons unknown to the author.

  2. 2.

    The PANTHER format consists of tables, which are compressed by the zlib library. The table formats are defined by ASCII header files.

  3. 3.

    A reduced and compressed form of the data summary tape files.

  4. 4.

    The Touschek effect is a loss mechanism due to large angle coulomb scattering inside a bunch.

  5. 5.

    DEPleted Field Effect Transistor.

  6. 6.

    An increasing refractive index is used to reduce the spread of the ring image due to emission point uncertainty.

  7. 7.

    In this case, photons from initial and final state radiation are physically indistinguishable, since the corresponding amplitudes interfere. Actually, there is no correct answer to the question of whether the photon is final state radiation or not. Hence, the behavior of the heuristic is not wrong, but probably unexpected by the analyst, because the initial state radiation amplitude dominates in this decay.

  8. 8.

    BASF already implemented a function for recovering the lost bits, but it was apparently not applied.

  9. 9.

    For instance: Kinematic quantities like four-momenta, Monte Carlo information, PID information and beam-parameters.

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Keck, T. (2018). From Belle to Belle II. In: Machine Learning at the Belle II Experiment. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-98249-6_2

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