Abstract
The Full Event Interpretation (FEI) is a tagging algorithm based on machine learning. It exploits the unique experimental setup of \(\text {B}\) factory experiments such as the Belle and Belle II experiment. Both experiments operate on the \(\Upsilon (4\text {S})\) resonance, which decays at least \(96 \%\) of the time into exactly two \(\text {B}\) mesons. Conceptually, the event is divided into two sides: The signal-side containing the tracks and clusters compatible with the assumed signal \(\text {B}_{\mathrm {sig}} \) decay the physicist is interested in, e.g. \(\text {B}^{+}\rightarrow \tau ^{+}\nu _{\tau }\); and the tag-side containing the remaining tracks and clusters compatible with an arbitrary \(\text {B}_{\mathrm {tag}} \) meson decay. Figure 4.1 depicts this situation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
A candidate consists of an assumed decay-chain, which happened in the detector and was detected by a fixed set of tracks and clusters.
- 2.
Reducible background has distinct final state products from the signal.
- 3.
The meson decays into all possible final states with the correct branching fractions.
- 4.
Empirically, 7 is the maximum number of tracks the FEI can combine to a correct candidate.
- 5.
Only decay-channels were reconstructed, which were used by the FR as well.
References
A.J. Bevan et al., The physics of the B factories. Eur. Phys. J. C 74, 3026 (2014). https://doi.org/10.1140/epjc/s10052-014-3026-9
T. Keck, The full event interpretation for Belle II. M.A. thesis. KIT, 2014, https://ekp-invenio.physik.uni-karlsruhe.de/record/48602
M. Feindt et al., A hierarchical neurobayes-based algorithm for full reconstruction of B mesons at B factories. Nucl. Instrum. Methods A654, 432–440 (2011). https://doi.org/10.1016/j.nima.2011.06.008
W.D. Hulsbergen, Decay chain fitting with a Kalman filter. Nucl. Instrum. Methods A552, 566–575 (2005). https://doi.org/10.1016/j.nima.2005.06.078
W. Waltenberger, W. Mitaroff, F. Moser, RAVE—a Detector-independent vertex reconstruction toolkit. Nucl. Instrum. Methods Phys. Res. Sect. A: Accel. Spectrom. Detect. Assoc. Equip. 581(1–2), 549–552 (2007), https://doi.org/10.1016/j.nima.2007.08.048
R. Fruhwirth, Application of Kalman filtering to track and vertex fitting. Nucl. Instrum. Methods (1987). https://doi.org/10.1016/0168-9002(87)90887-4
G. M. Amdahl, Validity of the single processor approach to achieving large scale computing capabilities, in Proceedings of the Spring Joint Computer Conference, pp. 483–485, 18–20 April 1967, https://doi.org/10.1145/1465482.1465560
https://github.com/thomaskeck/FastFit. Accessed 02 Oct 2017
K. Kirchgessner, Semileptonic tag side reconstruction. M.A. thesis. KIT, 2012, http://ekp-invenio.physik.uni-karlsruhe.de/record/48181
I. Adachi et al., Belle design study report (2008), arXiv: 0810.4084 [hep-ex]
B. Kronenbitter et al., Measurement of the branching fraction of \(B^{+}\rightarrow \tau ^{+}\nu _\tau \) decays with the semileptonic tagging method. Phys. Rev. D 92(5), 051102 (2015). https://doi.org/10.1103/PhysRevD.92.051102
J. Schwab, Calibration of the full event interpretation for the Belle and the Belle II experiment. M.A. thesis, KIT, 2017, https://ekp-invenio.physik.uni-karlsruhe.de/record/48931
A. Sibidanov et al., Study of exclusive \(B \rightarrow X_{u}l\nu \) decays and extraction of \(|V_{ub}|\) using full reconstruction tagging at the Belle experiment. Phys. Rev. D (2013). https://doi.org/10.1103/PhysRevD.88.032005
J. Grygier, Search for \(B\rightarrow h\nu \nu \) decays with semileptonic tagging at Belle (2017), arXiv: 1702.03224 [hep-ex]
A. Heller, Search for \(B^{+} \rightarrow \ell ^{+} \nu \gamma \) decays with hadronic tagging using the full Belle data sample. Ph.D. thesis. KIT, 2015, https://ekp-invenio.physik.unikarlsruhe.de/record/48743
M. Huschle, Measurement of the branching ratio of \(B \rightarrow D^{(*)}\tau \nu _\tau \) relative to \(B \rightarrow D^{(*)}\ell \nu _\ell \) decays with hadronic tagging at Belle. Ph.D. thesis. KIT, 2015, https://ekp-invenio.physik.uni-karlsruhe.de/record/48622
Y. Lecun, Y. Bengio, G. Hinton, Deep learning. Nature 521, 436–444 (2015). https://doi.org/10.1038/nature14539
A. Santoro et al., A simple neural network module for relational reasoning (2017), arXiv: 1706.01427 [cs.CL]
J. Schmidhuber, Deep learning in neural networks: An overview. Neural Netw. (2015). https://doi.org/10.1016/j.neunet.2014.09.003
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Keck, T. (2018). Full Event Interpretation. In: Machine Learning at the Belle II Experiment. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-98249-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-98249-6_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-98248-9
Online ISBN: 978-3-319-98249-6
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)