Measurement of the integrated luminosity of data samples collected during 2019-2022 by the Belle II experiment

Kavli Affiliate: T. Higuchi | First 5 Authors: The Belle II Collaboration, I. Adachi, L. Aggarwal, H. Ahmed, J. K. Ahn | Summary: A series of data samples was collected with the Belle II detector at the SuperKEKB collider from March 2019 to June 2022. We determine the integrated luminosities of these data samples using […]


Continue.. Measurement of the integrated luminosity of data samples collected during 2019-2022 by the Belle II experiment

Measurement of the integrated luminosity of data samples collected during 2019-2022 by the Belle II experiment

Kavli Affiliate: T. Higuchi | First 5 Authors: The Belle II Collaboration, I. Adachi, L. Aggarwal, H. Ahmed, J. K. Ahn | Summary: A series of data samples was collected with the Belle~II detector at the SuperKEKB collider from March 2019 to June 2022. We determine the integrated luminosities of these data samples using three […]


Continue.. Measurement of the integrated luminosity of data samples collected during 2019-2022 by the Belle II experiment

Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

Kavli Affiliate: Jia Liu | First 5 Authors: Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu | Summary: Combinatorial Optimization (CO) addresses many important problems, including the challenging Maximum Independent Set (MIS) problem. Alongside exact and heuristic solvers, differentiable approaches have emerged, often using continuous relaxations of ReLU-based or quadratic objectives. Noting […]


Continue.. Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

Kavli Affiliate: Jia Liu | First 5 Authors: Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu | Summary: Combinatorial Optimization (CO) addresses many important problems, including the challenging Maximum Independent Set (MIS) problem. Alongside exact and heuristic solvers, differentiable approaches have emerged, often using continuous relaxations of ReLU-based or quadratic objectives. Noting […]


Continue.. Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

Kavli Affiliate: Jia Liu | First 5 Authors: Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu | Summary: Combinatorial Optimization (CO) addresses many important problems, including the challenging Maximum Independent Set (MIS) problem. Alongside exact and heuristic solvers, differentiable approaches have emerged, often using continuous relaxations of ReLU-based or quadratic objectives. Noting […]


Continue.. Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

The Belle II Detector Upgrades Framework Conceptual Design Report

Kavli Affiliate: T. Higuchi | First 5 Authors: H. Aihara, A. Aloisio, D. P. Auguste, M. Aversano, M. Babeluk | Summary: We describe the planned near-term and potential longer-term upgrades of the Belle II detector at the SuperKEKB electron-positron collider operating at the KEK laboratory in Tsukuba, Japan. These upgrades will allow increasingly sensitive searches […]


Continue.. The Belle II Detector Upgrades Framework Conceptual Design Report

Prior-Informed AGN-Host Spectral Decomposition Using PyQSOFit

Kavli Affiliate: John D. Silverman | First 5 Authors: Wenke Ren, Hengxiao Guo, Yue Shen, John D. Silverman, Colin J. Burke | Summary: We introduce an improved method for decomposing the emission of active galactic nuclei (AGN) and their host galaxies using templates from principal component analysis (PCA). This approach integrates prior information from PCA […]


Continue.. Prior-Informed AGN-Host Spectral Decomposition Using PyQSOFit

Prior-Informed AGN-Host Spectral Decomposition Using PyQSOFit

Kavli Affiliate: John D. Silverman | First 5 Authors: Wenke Ren, Hengxiao Guo, Yue Shen, John D. Silverman, Colin J. Burke | Summary: We introduce an improved method for decomposing the emission of active galactic nuclei (AGN) and their host galaxies using templates from principal component analysis (PCA). This approach integrates prior information from PCA […]


Continue.. Prior-Informed AGN-Host Spectral Decomposition Using PyQSOFit

Parity-Odd Power Spectra: Concise Statistics for Cosmological Parity Violation

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Drew Jamieson, Angelo Caravano, Jiamin Hou, Zachary Slepian, Eiichiro Komatsu | Summary: We introduce the Parity-Odd Power (POP) spectra, a novel set of observables for probing parity violation in cosmological $N$-point statistics. POP spectra are derived from composite fields obtained by applying nonlinear transformations, involving also gradients, […]


Continue.. Parity-Odd Power Spectra: Concise Statistics for Cosmological Parity Violation

Parity-Odd Power Spectra: Concise Statistics for Cosmological Parity Violation

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Drew Jamieson, Angelo Caravano, Jiamin Hou, Zachary Slepian, Eiichiro Komatsu | Summary: We introduce the Parity-Odd Power (POP) spectra, a novel set of observables for probing parity violation in cosmological $N$-point statistics. POP spectra are derived from composite fields obtained by applying nonlinear transformations, involving also gradients, […]


Continue.. Parity-Odd Power Spectra: Concise Statistics for Cosmological Parity Violation