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Bayar, M.; Ikeno, N.; Oset, E. Analysis of the psi (4040) and psi (4160) decay into D-(*()) (D)over-bar(()*()), D-s(()*()) (D)over-bar(s)(()*()) 2020 European Physical Journal C 80 222 - 9pp details   doi
Bayar, M.; Martinez Torres, A.; Khemchandani, K.P.; Molina, R.; Oset, E. Exotic states with triple charm 2023 European Physical Journal C 83 46 - 9pp details   doi
Bayar, M.; Molina, R.; Oset, E.; Liu, M.Z.; Geng, L.S. Subtleties in triangle loops for Ds+ → ρ+ η → π+ π0 η in a0(980) production 2024 Physical Review D 109 076027 - 7pp details   doi
Bayar, M.; Oset, E. Method to observe the J(P)=2(+) partner of the X-0(2866) in the B+ -> D+ D- K+ reaction 2022 Physics Letters B 833 137364 - 6pp details   doi
Beacham, J. et al; Martinez-Vidal, F. Physics beyond colliders at CERN: beyond the Standard Model working group report 2020 Journal of Physics G 47 010501 - 114pp details   doi
Beaulieu, L.; Ballester, F.; Granero, D.; Tedgren, A.C.; Haworth, A.; Lowenstein, J.R.; Ma, Y.Z.; Mourtada, F.; Papagiannis, P.; Rivard, M.J.; Siebert, F.A.; Sloboda, R.S.; Smith, R.L.; Thomson, R.M.; Verhaegen, F.; Fonseca, G.; Vijande, J. AAPM WGDCAB Report 372: A joint AAPM, ESTRO, ABG, and ABS report on commissioning of model-based dose calculation algorithms in brachytherapy 2023 Medical Physics 50 e946–e960 details   doi
Becchetti, M.; Bonciani, R.; Cieri, L.; Coro, F.; Ripani, F. Full top-quark mass dependence in diphoton production at NNLO in QCD 2024 Physics Letters B 848 138362 - 7pp details   doi
Becchetti, M.; Bonciani, R.; Cieri, L.; Coro, F.; Ripani, F. Two-loop form factors for diphoton production in quark annihilation channel with heavy quark mass dependence 2023 Journal of High Energy Physics 12 105 - 28pp details   doi
Beenakker, W.; Caron, S.; Kip, J.; Ruiz de Austri, R.; Zhang, Z. New energy spectra in neutrino and photon detectors to reveal hidden dark matter signals 2023 Journal of High Energy Physics 11 028 - 13pp details   doi
Begone, G.; Deisenroth, M.P.; Kim, J.S.; Liem, S.; Ruiz de Austri, R.; Welling, M. Accelerating the BSM interpretation of LHC data with machine learning 2019 Physics of the Dark Universe 24 100293 - 5pp details   doi
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