Probing the Galactic halo with RR Lyrae stars — IV. On the Oosterhoff dichotomy of RR Lyrae stars

Kavli Affiliate: Huawei Zhang | First 5 Authors: Shan Zhang, Gaochao Liu, Yang Huang, Zongfei Lv, Sarah Ann Bird | Summary: We use 3653 (2661 RRab, 992 RRc) RR Lyrae stars (RRLs) with 7D (3D position, 3D velocity, and metallicity) information selected from SDSS, LAMOST, and Gaia EDR3, and divide the sample into two Oosterhoff […]


Continue.. Probing the Galactic halo with RR Lyrae stars — IV. On the Oosterhoff dichotomy of RR Lyrae stars

Enhancing vibrationally assisted energy transfer by proximity to exceptional points and probing the distance via fluorescence-detected vibrational spectroscopy

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Zeng-Zhao Li, K. Birgitta Whaley, , , | Summary: Emulation of energy transfer processes in natural systems on quantum platforms can further our understanding of complex dynamics in nature. One notable example is the demonstration of vibrationally assisted energy transfer (VAET) on a trapped-ion quantum emulator, which […]


Continue.. Enhancing vibrationally assisted energy transfer by proximity to exceptional points and probing the distance via fluorescence-detected vibrational spectroscopy

BASS XXXIV: A Catalog of the Nuclear Mm-wave Continuum Emission Properties of AGNs Constrained on Scales $lesssim$ 100–200 pc

Kavli Affiliate: Claudio Ricci | First 5 Authors: Taiki Kawamuro, Claudio Ricci, Richard F. Mushotzky, Masatoshi Imanishi, Franz E. Bauer | Summary: We present a catalog of the millimeter-wave (mm-wave) continuum properties of 98 nearby ($z <$ 0.05) active galactic nuclei (AGNs) selected from the 70-month Swift/BAT hard X-ray catalog that have precisely determined X-ray […]


Continue.. BASS XXXIV: A Catalog of the Nuclear Mm-wave Continuum Emission Properties of AGNs Constrained on Scales $lesssim$ 100–200 pc

MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen | Summary: Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation provide insufficient contribution to practical applications, […]


Continue.. MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes

Kavli Affiliate: Jing Wang | First 5 Authors: Andrey Bernstein, Joshua Comden, Yue Chen, Jing Wang, | Summary: Online feedback-based optimization has become a promising framework for real-time optimization and control of complex engineering systems. This tutorial paper surveys the recent advances in the field as well as provides novel convergence results for primal-dual online […]


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Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model

Kavli Affiliate: Jing Wang | First 5 Authors: Shanshan Tang, Kai Wang, David Hein, Gloria Lin, Nina N. Sanford | Summary: Objectives: Approximately 30% of non-metastatic anal squamous cell carcinoma (ASCC) patients will experience recurrence after chemoradiotherapy (CRT), and currently available clinical variables are poor predictors of treatment response. We aimed to develop a model […]


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Cosmological Implications of Kalb-Ramond-Like-Particles

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Christian Capanelli, Leah Jenks, Edward W. Kolb, Evan McDonough, | Summary: The Kalb-Ramond field is an antisymmetric, rank-two tensor field which most notably appears in the context of string theory, but has largely been unexplored in the context of cosmology. In this work, motivated by the […]


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Computing SHAP Efficiently Using Model Structure Information

Kavli Affiliate: Ke Wang | First 5 Authors: Linwei Hu, Ke Wang, , , | Summary: SHAP (SHapley Additive exPlanations) has become a popular method to attribute the prediction of a machine learning model on an input to its features. One main challenge of SHAP is the computation time. An exact computation of Shapley values […]


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Optical absorption spectra of metal oxides from time-dependent density functional theory and many-body perturbation theory based on optimally-tuned hybrid functionals

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Guy Ohad, Stephen E. Gant, Dahvyd Wing, Jonah B. Haber, María Camarasa-Gómez | Summary: Using both time-dependent density functional theory (TDDFT) and the “single-shot" $GW$ plus Bethe-Salpeter equation ($GW$-BSE) approach, we compute optical band gaps and optical absorption spectra from first principles for eight common binary […]


Continue.. Optical absorption spectra of metal oxides from time-dependent density functional theory and many-body perturbation theory based on optimally-tuned hybrid functionals

Topological synchronization of fractionalized spins

Kavli Affiliate: Joel E. Moore | First 5 Authors: Christopher W. Wächtler, Joel E. Moore, , , | Summary: The gapped symmetric phase of the Affleck-Kennedy-Lieb-Tasaki (AKLT) model exhibits fractionalized spins at the ends of an open chain. We show that breaking SU(2) symmetry and applying a global spin-lowering dissipator achieves synchronization of these fractionalized […]


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