Advanced Weights for IXPE Polarization Analysis

Kavli Affiliate: Roger Romani | Summary:As the Imaging X-ray Polarimetry Explorer (IXPE) measures increasingly faint sources, the need for precise polarimetry extraction becomes paramount. In addition to previously described neural-net (NN) weights, we introduce here point-spread function weights and particle background weights, which can be critical for faint sources. In some cases these can be […]


Continue.. Advanced Weights for IXPE Polarization Analysis

Advanced Weights for IXPE Polarization Analysis

Kavli Affiliate: Roger W. Romani | First 5 Authors: Jack T. Dinsmore, Jack T. Dinsmore, , , | Summary: As the Imaging X-ray Polarimetry Explorer (IXPE) measures increasingly faint sources, the need for precise polarimetry extraction becomes paramount. In addition to previously described neural-net (NN) weights, we introduce here point-spread function weights and particle background […]


Continue.. Advanced Weights for IXPE Polarization Analysis

Advanced Weights for IXPE Polarization Analysis

Kavli Affiliate: Roger W. Romani | First 5 Authors: Jack T. Dinsmore, Jack T. Dinsmore, , , | Summary: As the Imaging X-ray Polarimetry Explorer (IXPE) measures increasingly faint sources, the need for precise polarimetry extraction becomes paramount. In addition to previously described neural-net (NN) weights, we introduce here point-spread function weights and particle background […]


Continue.. Advanced Weights for IXPE Polarization Analysis

Measurement of muon neutrino induced charged current interactions without charged pions in the final state using a new T2K off-axis near detector WAGASCI-BabyMIND

Kavli Affiliate: Mark Vagins| First 5 Authors: K. Abe, K. Abe, , , | Summary:We report a flux-integrated cross section measurement of muon neutrino interactions on water and hydrocarbon via charged current reactions without charged pions in the final state with the WAGASCI-BabyMIND detector which was installed in the T2K near detector hall in 2018. […]


Continue.. Measurement of muon neutrino induced charged current interactions without charged pions in the final state using a new T2K off-axis near detector WAGASCI-BabyMIND

Anatomy of parameter-estimation biases in overlapping gravitational-wave signals: detector network

Kavli Affiliate: Lijing Shao | Summary:With the significantly improved sensitivity and a wider frequency band, the next-generation gravitational-wave (GW) detectors are anticipated to detect $sim 10^5$ GW signals per year with durations from hours to days, leading to inevitable signal overlaps in the data stream. While a direct fitting for all signals may be challenging, […]


Continue.. Anatomy of parameter-estimation biases in overlapping gravitational-wave signals: detector network

Gauge Theory and Integrability: An Overview

Kavli Affiliate: Masahito Yamazaki | Summary:While general quantum field theories (QFTs) have yet to be rigorously defined in mathematics, they have generated new mathematics and have served as a unifying principle connecting different branches of the subject. In 1989, Witten made a profound impact on the mathematical community by systematically constructing knot invariants via the […]


Continue.. Gauge Theory and Integrability: An Overview

Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling

Kavli Affiliate: Jing Wang | First 5 Authors: Minghui Li, Minghui Li, , , | Summary: Direct Prompt Injection (DPI) attacks pose a critical security threat to Large Language Models (LLMs) due to their low barrier of execution and high potential damage. To address the impracticality of existing white-box/gray-box methods and the poor transferability of […]


Continue.. Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling

Astra: A Multi-Agent System for GPU Kernel Performance Optimization

Kavli Affiliate: Ke Wang | First 5 Authors: Anjiang Wei, Anjiang Wei, , , | Summary: GPU kernel optimization has long been a central challenge at the intersection of high-performance computing and machine learning. Efficient kernels are crucial for accelerating large language model (LLM) training and serving, yet attaining high performance typically requires extensive manual […]


Continue.. Astra: A Multi-Agent System for GPU Kernel Performance Optimization

Cross-correlations between the CLAMATO Lyman-alpha forest and galaxies within the COSMOS field

Kavli Affiliate: Khee-Gan Lee | Summary:We compute the 3D cross-correlation between the absorption of the $zsim 2.3$ Lyman-alpha forest measured by the COSMOS Lyman-Alpha Mapping And Tomography Observations (CLAMATO) survey, and 1642 foreground galaxies with spectroscopic redshifts from several different surveys, including 3D-HST, CLAMATO, zCOSMOS-deep, MOSDEF, and VUDS. For each survey, we compare the measured […]


Continue.. Cross-correlations between the CLAMATO Lyman-alpha forest and galaxies within the COSMOS field

Cross-correlations between the CLAMATO Lyman-alpha forest and galaxies within the COSMOS field

Kavli Affiliate: Khee-Gan Lee | Summary:We compute the 3D cross-correlation between the absorption of the $zsim 2.3$ Lyman-alpha forest measured by the COSMOS Lyman-Alpha Mapping And Tomography Observations (CLAMATO) survey, and 1642 foreground galaxies with spectroscopic redshifts from several different surveys, including 3D-HST, CLAMATO, zCOSMOS-Deep, MOSDEF, and VUDS. For each survey, we compare the measured […]


Continue.. Cross-correlations between the CLAMATO Lyman-alpha forest and galaxies within the COSMOS field