Long-lived Light Mediators in a Higgs Portal Model at the FCC-ee

Kavli Affiliate: Shigeki Matsumoto | First 5 Authors: Biplob Bhattacherjee, Camellia Bose, Herbi K. Dreiner, Nivedita Ghosh, Shigeki Matsumoto | Summary: In the search for beyond the Standard Model (SM) physics, long-lived particles (LLPs) have emerged as potential candidates and are being explored in various ongoing experiments. Future lepton colliders, such as the FCC-ee, shall […]


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Exact Results in Chiral Gauge Theories with Flavor

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Jacob M. Leedom, Hitoshi Murayama, Gup Singh, Bethany Suter, Jason Wong | Summary: We present exact results in $text{SU}(N_C)$ chiral gauge theories with charged fermions in an antisymmetric, $N_F$ fundamental, and $N_C + N_F – 4$ anti-fundamental representations. We achieve this by considering the supersymmetric version of […]


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Searching for Exotic Interactions between Antimatter

Kavli Affiliate: Yevgeny V. Stadnik | First 5 Authors: Lei Cong, Filip Ficek, Pavel Fadeev, Yevgeny V. Stadnik, Dmitry Budker | Summary: We show that atomic antimatter spectroscopy can be used to search for new bosons that carry spin-dependent exotic forces between antifermions. A comparison of a recent precise measurement of the hyperfine splitting of […]


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$K$-theoretic pullbacks for Lagrangians on derived critical loci

Kavli Affiliate: Yukinobu Toda | First 5 Authors: Yalong Cao, Yukinobu Toda, Gufang Zhao, , | Summary: Given a regular function $phi$ on a smooth stack, and a $(-1)$-shifted Lagrangian $M$ on the derived critical locus of $phi$, under fairly general hypotheses, we construct a pullback map from the Grothendieck group of coherent matrix factorizations […]


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Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs

Kavli Affiliate: Jia Liu | First 5 Authors: Ling Team, Binwei Zeng, Chao Huang, Chao Zhang, Changxin Tian | Summary: In this technical report, we tackle the challenges of training large-scale Mixture of Experts (MoE) models, focusing on overcoming cost inefficiency and resource limitations prevalent in such systems. To address these issues, we present two […]


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Measurement of the Branching Fraction of $Λ_c^+ to p K_S^0 π^0$ at Belle

Kavli Affiliate: T. Higuchi | First 5 Authors: The Belle, Belle II Collaborations, :, I. Adachi, L. Aggarwal | Summary: We report a precise measurement of the ratio of branching fractions $mathcal{B}(Lambda_c^+to p K_S^0 pi^0)/mathcal{B}(Lambda_c^+to p K^- pi^+)$ using 980 fb$^{-1}$ of $e^+e^-$ data from the Belle experiment. We obtain a value of $mathcal{B}(Lambda_c^+to p […]


Continue.. Measurement of the Branching Fraction of $Λ_c^+ to p K_S^0 π^0$ at Belle

Measurement of the Branching Fraction of $Λ_c^+ to p K_S^0 π^0$ at Belle

Kavli Affiliate: T. Higuchi | First 5 Authors: The Belle, Belle II Collaborations, :, I. Adachi, L. Aggarwal | Summary: We report a precise measurement of the ratio of branching fractions $mathcal{B}(Lambda_c^+to p K_S^0 pi^0)/mathcal{B}(Lambda_c^+to p K^- pi^+)$ using 980 fb$^{-1}$ of $e^+e^-$ data from the Belle experiment. We obtain a value of $mathcal{B}(Lambda_c^+to p […]


Continue.. Measurement of the Branching Fraction of $Λ_c^+ to p K_S^0 π^0$ at Belle

The optical and infrared are connected

Kavli Affiliate: David N. Spergel | First 5 Authors: Christian K. Jespersen, Peter Melchior, David N. Spergel, Andy D. Goulding, ChangHoon Hahn | Summary: Galaxies are often modelled as composites of separable components with distinct spectral signatures, implying that different wavelength ranges are only weakly correlated. They are not. We present a data-driven model which […]


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Reweighting and Analysing Event Generator Systematics by Neural Networks on High-Level Features

Kavli Affiliate: Mihoko M. Nojiri | First 5 Authors: Amon Furuichi, Sung Hak Lim, Mihoko M. Nojiri, , | Summary: The state-of-the-art deep learning (DL) models for jet classification use jet constituent information directly, improving performance tremendously. This draws attention to interpretability, namely, the decision-making process, correlations contributing to the classification, and high-level features (HLFs) […]


Continue.. Reweighting and Analysing Event Generator Systematics by Neural Networks on High-Level Features