Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training

Posted by dbos Peking

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Kun Song, Zhiquan Tan, Bochao Zou, Jiansheng Chen, Huimin Ma | Summary: In this paper, we utilize information-theoretic metrics like matrix entropy and mutual information to analyze supervised learning. We explore the information content of data representations and classification head weights and their information interplay during supervised […]


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Calibration Measurements of the BICEP3 and BICEP Array CMB Polarimeters from 2017 to 2024

Posted by dbos Stanford

Kavli Affiliate: Shawn Henderson | First 5 Authors: Christos Giannakopoulos, Clara Vergès, P. A. R. Ade, Zeeshan Ahmed, Mandana Amiri | Summary: The BICEP3 and BICEP Array polarimeters are small-aperture refracting telescopes located at the South Pole designed to measure primordial gravitational wave signatures in the Cosmic Microwave Background (CMB) polarization, predicted by inflation. Constraining […]


Continue.. Calibration Measurements of the BICEP3 and BICEP Array CMB Polarimeters from 2017 to 2024

Search for $C!P$ violation in $D^+_{(s)}to{}K_{S}^{0}K^{-}π^{+}π^{+}$ decays using triple and quadruple products

Posted by dbos Tokyo

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle, Belle II Collaborations, :, L. Aggarwal, H. Ahmed | Summary: We perform the first search for $C!P$ violation in ${D_{(s)}^{+}to{}K_{S}^{0}K^{-}pi^{+}pi^{+}}$ decays. We use a combined data set from the Belle and Belle II experiments, which study $e^+e^-$ collisions at center-of-mass energies at or near the $Upsilon(4S)$ […]


Continue.. Search for $C!P$ violation in $D^+_{(s)}to{}K_{S}^{0}K^{-}π^{+}π^{+}$ decays using triple and quadruple products

Constraining Quasar Feedback from Analysis of the Hydrostatic Equilibrium of the Molecular Gas in Their Host Galaxies

Posted by Peking

Kavli Affiliate: Jinyi Shangguan | First 5 Authors: Qinyue Fei, Ran Wang, Juan Molina, Luis C. Ho, Jinyi Shangguan | Summary: We investigate the kinematics and dynamics of the molecular and ionized gas in the host galaxies of three Palomar-Green quasars at low redshifts, benefiting from the archival millimeter-wave interferometric and optical integral field unit […]


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Ensemble Kalman Filter Data Assimilation Into Surface Flux Transport Model To Infer Surface Flows: An Observing System Simulation Experiment

Posted by dbos Stanford

Kavli Affiliate: J. Todd Hoeksema | First 5 Authors: Soumyaranjan Dash, Marc L. DeRosa, Mausumi Dikpati, Xudong Sun, Sushant S. Mahajan | Summary: Knowledge of the global magnetic field distribution and its evolution on the Sun’s surface is crucial for modeling the coronal magnetic field, understanding solar wind dynamics, computing the heliospheric open flux distribution […]


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Co-Design of 2D Heterojunctions for Data Filtering in Tracking Systems

Posted by Chicago

Kavli Affiliate: Salman Habib | First 5 Authors: Tupendra Oli, Wilkie Olin-Ammentorp, Xingfu Wu, Justin H. Qian, Vinod K. Sangwan | Summary: As particle physics experiments evolve to achieve higher energies and resolutions, handling the massive data volumes produced by silicon pixel detectors, which are used for charged particle tracking, poses a significant challenge. To […]


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StreamGen: Connecting Populations of Streams and Shells to Their Host Galaxies

Posted by dbos MIT

Kavli Affiliate: Lina Necib | First 5 Authors: Adriana Dropulic, Nora Shipp, Stacy Kim, Zeineb Mezghanni, Lina Necib | Summary: In this work, we study how the abundance and dynamics of populations of disrupting satellite galaxies change systematically as a function of host galaxy properties. We apply a theoretical model of the phase-mixing process to […]


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DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Dongyu Luo, Jianyu Wu, Jing Wang, Hairun Xie, Xiangyu Yue | Summary: We showcase the plain diffusion models with Transformers are effective predictors of fluid dynamics under various working conditions, e.g., Darcy flow and high Reynolds number. Unlike traditional fluid dynamical solvers that depend on complex architectures […]


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