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A new algorithm for identifying the flavour of B0s mesons at LHCb

Abstract:

A new algorithm for the determination of the initial flavour of $B_s^0$ mesons is presented. The algorithm is based on two neural networks and exploits the $b$ hadron production mechanism at a hadron collider. The first network is trained to select charged kaons produced in association with the $B_s^0$ meson. The second network combines the kaon charges to assign the $B_s^0$ flavour and estimates the probability of a wrong assignment. The algorithm is calibrated using data corresponding to an...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1088/1748-0221/11/05/P05010

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Department:
Oxford, MPLS, Physics, Particle Physics
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Department:
Oxford, MPLS, Physics, Particle Physics
More by this author
Department:
Oxford, MPLS, Physics, Particle Physics
More by this author
Department:
Oxford, MPLS, Physics, Particle Physics
More by this author
Department:
Oxford, MPLS, Physics, Particle Physics
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior More from this funder
Brazilian National Council for Scientific and Technological Development More from this funder
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro More from this funder
Brazilian Funding Authority for Studies and Projects More from this funder
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Publisher:
Institute of Physics Publisher's website
Journal:
Journal of Instrumentation Journal website
Volume:
11
Issue:
05
Pages:
P05010
Publication date:
2016-05-05
Acceptance date:
2016-04-14
DOI:
ISSN:
1748-0221
Pubs id:
pubs:606599
URN:
uri:7f0f4b9c-7e3d-4ec6-a7c3-e3595db31e7f
UUID:
uuid:7f0f4b9c-7e3d-4ec6-a7c3-e3595db31e7f
Local pid:
pubs:606599

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