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  1. We report a search for a heavy neutral lepton (HNL) that mixes predominantly withντ. The search utilizes data collected with the Belle detector at the KEKB asymmetric energye+ecollider. The data sample was collected at and just below the center-of-mass energies of theϒ(4S)andϒ(5S)resonances and has an integrated luminosity of915fb1, corresponding to(836±12)×106e+eτ+τevents. We search for production of the HNL (denotedN) in the decayτπNfollowed by its decay viaNμ+μντ. The search focuses on the parameter-space region in which the HNL is long-lived, so that theμ+μoriginate from a common vertex that is significantly displaced from the collision point of the KEKB beams. Consistent with the expected background yield, one event is observed in the data sample after application of all the event-selection criteria. We report limits on the mixing parameter of the HNL with theτneutrino as a function of the HNL mass.

    Published by the American Physical Society2024 
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    Free, publicly-accessible full text available June 1, 2025
  2. null (Ed.)
  3. Explaining the results of Machine learning algorithms is crucial given the rapid growth and potential applicability of these methods in critical domains including healthcare, defense, autonomous driving, etc. In this paper, we address this problem in the context of Markov Logic Networks (MLNs) which are highly expressive statistical relational models that combine first-order logic with probabilistic graphical models. MLNs in general are known to be interpretable models, i.e., MLNs can be understood more easily by humans as compared to models learned by approaches such as deep learning. However, at the same time, it is not straightforward to obtain human-understandable explanations specific to an observed inference result (e.g. marginal probability estimate). This is because, the MLN provides a lifted interpretation, one that generalizes to all possible worlds/instantiations, which are not query/evidence specific. In this paper, we extract grounded-explanations, i.e., explanations defined w.r.t specific inference queries and observed evidence. We extract these explanations from importance weights defined over the MLN formulas that encode the contribution of formulas towards the final inference results. We validate our approach in real world problems related to analyzing reviews from Yelp, and show through user-studies that our explanations are richer than state-of-the-art non-relational explainers such as LIME . 
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  4. We measure the branching fraction of the decayBD0ρ(770)using data collected with the Belle II detector. The data contain 387 millionBB¯pairs produced ine+ecollisions at theϒ(4S)resonance. We reconstruct8360±180decays from an analysis of the distributions of theBenergy and theρ(770)helicity angle. We determine the branching fraction to be(0.939±0.021(stat)±0.050(syst))%, in agreement with previous results. Our measurement improves the relative precision of the world average by more than a factor of two.

    Published by the American Physical Society2024 
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    Free, publicly-accessible full text available June 1, 2025
  5. We report a measurement of decay-time-dependent charge-parity (CP) asymmetries inB0KS0KS0KS0decays. We use387×106BB¯pairs collected at theϒ(4S)resonance with the Belle II detector at the SuperKEKB asymmetric-energy electron-positron collider. We reconstruct 220 signal events and extract theCP-violating parametersSandCfrom a fit to the distribution of the decay-time difference between the twoBmesons. The resulting confidence region is consistent with previous measurements inB0KS0KS0KS0andB0(cc¯)K0decays and with predictions based on the standard model.

    Published by the American Physical Society2024 
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    Free, publicly-accessible full text available June 1, 2025
  6. We search for the rare decayB+K+νν¯in a362fb1sample of electron-positron collisions at theϒ(4S)resonance collected with the Belle II detector at the SuperKEKB collider. We use the inclusive properties of the accompanyingBmeson inϒ(4S)BB¯events to suppress background from other decays of the signalBcandidate and light-quark pair production. We validate the measurement with an auxiliary analysis based on a conventional hadronic reconstruction of the accompanyingBmeson. For background suppression, we exploit distinct signal features using machine learning methods tuned with simulated data. The signal-reconstruction efficiency and background suppression are validated through various control channels. The branching fraction is extracted in a maximum likelihood fit. Our inclusive and hadronic analyses yield consistent results for theB+K+νν¯branching fraction of[2.7±0.5(stat)±0.5(syst)]×105and[1.10.8+0.9(stat)0.5+0.8(syst)]×105, respectively. Combining the results, we determine the branching fraction of the decayB+K+νν¯to be[2.3±0.5(stat)0.4+0.5(syst)]×105, providing the first evidence for this decay at 3.5 standard deviations. The combined result is 2.7 standard deviations above the standard model expectation.

    Published by the American Physical Society2024 
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    Free, publicly-accessible full text available June 1, 2025
  7. A<sc>bstract</sc>

    We report results from a study ofB±→ DK±decays followed byDdecaying to theCP-even final stateK+Kand CP-odd final state$$ {K}_S^0{\pi}^0 $$KS0π0, whereDis an admixture ofD0and$$ {\overline{D}}^0 $$D¯0states. These decays are sensitive to the Cabibbo-Kobayashi-Maskawa unitarity-triangle angleϕ3. The results are based on a combined analysis of the final data set of 772×106$$ B\overline{B} $$BB¯pairs collected by the Belle experiment and a data set of 198×106$$ B\overline{B} $$BB¯pairs collected by the Belle II experiment, both in electron-positron collisions at the Υ(4S) resonance. We measure the CP asymmetries to be$$ \mathcal{A} $$ACP+= (+12.5±5.8±1.4)% and$$ \mathcal{A} $$ACP−= (16.7±5.7±0.6)%, and the ratios of branching fractions to be$$ \mathcal{R} $$RCP+= 1.164±0.081±0.036 and$$ \mathcal{R} $$RCP−= 1.151±0.074±0.019. The first contribution to the uncertainties is statistical, and the second is systematic. The asymmetries$$ \mathcal{A} $$ACP+and$$ \mathcal{A} $$ACP−have similar magnitudes and opposite signs; their difference corresponds to 3.5 standard deviations. From these values we calculate 68.3% confidence intervals of (8.5°<ϕ3< 16.5°) or (84.5°<ϕ3< 95.5°) or (163.3°<ϕ3< 171.5°) and 0.321 <rB< 0.465.

     
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    Free, publicly-accessible full text available May 1, 2025
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