Long Range Energy-energy Correlator at the LHC

Kavli Affiliate: Feng Yuan | First 5 Authors: Yuxun Guo, Xiaohui Liu, Feng Yuan, , | Summary: We study the forward-backward azimuthal angular correlations of hadrons in association with multi-particle production in the central rapidity region in proton-proton collisions at the LHC. We apply the nucleon energy-energy correlator framework, where the spinning gluon distribution introduces […]


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Simulation of atom trajectories in the original Stern-Gerlach experiment

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Faraz Mostafaeipour, S. Suleyman Kahraman, Kelvin Titimbo, Yixuan Tan, Lihong V. Wang | Summary: Following a comprehensive analysis of the historical literature, we model the geometry of the Stern$unicode{x2013}$Gerlach experiment to numerically calculate the magnetic field using the finite-element method. Using this calculated field and Monte […]


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Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons

Kavli Affiliate: Yi Zhou | First 5 Authors: Yang Wang, Danni Wang, Liting Zhong, Yi Zhou, Qing Wang | Summary: Photoacoustic tomography (PAT) enables non-invasive cross-sectional imaging of biological tissues, but it fails to map the spatial variation of speed-of-sound (SOS) within tissues. While SOS is intimately linked to density and elastic modulus of tissues, […]


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$boldsymbol{Steiner}$-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes

Kavli Affiliate: Cheng Peng | First 5 Authors: Zeyu Wang, Qitong Wang, Xiaoxing Cheng, Peng Wang, Themis Palpanas | Summary: Graph-based indexes have been widely employed to accelerate approximate similarity search of high-dimensional vectors. However, the performance of graph indexes to answer different queries varies vastly, leading to an unstable quality of service for downstream […]


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$boldsymbol{Steiner}$-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes

Kavli Affiliate: Cheng Peng | First 5 Authors: Zeyu Wang, Qitong Wang, Xiaoxing Cheng, Peng Wang, Themis Palpanas | Summary: Graph-based indexes have been widely employed to accelerate approximate similarity search of high-dimensional vectors. However, the performance of graph indexes to answer different queries varies vastly, leading to an unstable quality of service for downstream […]


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DESI Peculiar Velocity Survey — Fundamental Plane

Kavli Affiliate: Risa Wechsler | First 5 Authors: Khaled Said, Cullan Howlett, Tamara Davis, John Lucey, Christoph Saulder | Summary: The Dark Energy Spectroscopic Instrument (DESI) Peculiar Velocity Survey aims to measure the peculiar velocities of early and late type galaxies within the DESI footprint using both the Fundamental Plane and Tully-Fisher relations. Direct measurements […]


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Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques

Kavli Affiliate: Ting Xu | First 5 Authors: Yoon Tae Park, Ting Xu, Mohamed Anany, , | Summary: Uplift modeling is essential for optimizing marketing strategies by selecting individuals likely to respond positively to specific marketing campaigns. This importance escalates in multi-treatment marketing campaigns, where diverse treatment is available and we may want to assign […]


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HMGB1 restores a dynamic chromatin environment in the presence of linker histone by deforming nucleosomal DNA

Kavli Affiliate: Yifan Cheng | Authors: Hayden S Saunders, Un Seng Chio, Camille M Moore, Vijay Ramani, Yifan Cheng and Geeta Narlikar | Summary: Summary: The essential architectural protein HMGB1 increases accessibility of nucleosomal DNA and counteracts the effects of linker histone H1. However, HMGB1 is less abundant than H1 and binds nucleosomes more weakly […]


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Prompt-Softbox-Prompt: A free-text Embedding Control for Image Editing

Kavli Affiliate: Jing Wang | First 5 Authors: Yitong Yang, Yinglin Wang, Jing Wang, Tian Zhang, | Summary: Text-driven diffusion models have achieved remarkable success in image editing, but a crucial component in these models-text embeddings-has not been fully explored. The entanglement and opacity of text embeddings present significant challenges to achieving precise image editing. […]


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Efficient estimation of rotation-induced bias to reconstructed CMB lensing power spectrum

Kavli Affiliate: Toshiya Namikawa | First 5 Authors: Hongbo Cai, Yilun Guan, Toshiya Namikawa, Arthur Kosowsky, | Summary: The cosmic microwave background (CMB) lensing power spectrum is a powerful probe of the late-time universe, encoding valuable information about cosmological parameters such as the sum of neutrino masses and dark energy equation of state. However, the […]


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