Measurements of the branching fractions of $Ξ_{c}^{+}to Σ^{+}K_{S}^{0}$, $Ξ_{c}^{+}to Ξ^{0}π^{+}$, and $Ξ_{c}^{+}to Ξ^{0}K^{+}$ at Belle and Belle II

Posted by dbos Tokyo

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle, Belle II Collaborations, :, I. Adachi, J. K. Ahn | Summary: Using 983.0 $rm{fb}^{-1}$ and 427.9 $rm{fb}^{-1}$ data samples collected with the Belle and Belle II detectors at the KEKB and SuperKEKB asymmetric energy $e^+e^-$ colliders, respectively, we present studies of the Cabibbo-favored $Xi_c^+$ decays ${Xi_{c}^{+}to […]


Continue.. Measurements of the branching fractions of $Ξ_{c}^{+}to Σ^{+}K_{S}^{0}$, $Ξ_{c}^{+}to Ξ^{0}π^{+}$, and $Ξ_{c}^{+}to Ξ^{0}K^{+}$ at Belle and Belle II

Strong LensIng and Cluster Evolution (SLICE) with JWST: Early Results, Lens Models, and High-Redshift Detections

Posted by dbos MIT

Kavli Affiliate: Michael McDonald | First 5 Authors: Catherine Cerny, Guillaume Mahler, Keren Sharon, Mathilde Jauzac, Gourav Khullar | Summary: We leverage JWST’s superb resolution to derive strong lensing mass maps of 14 clusters, spanning a redshift range of $zsim0.25 – 1.06$ and a mass range of $M_{500}sim2-12 times 10^{14}M_odot$, from the Strong LensIng and […]


Continue.. Strong LensIng and Cluster Evolution (SLICE) with JWST: Early Results, Lens Models, and High-Redshift Detections

ProDehaze: Prompting Diffusion Models Toward Faithful Image Dehazing

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Tianwen Zhou, Jing Wang, Songtao Wu, Kuanhong Xu, | Summary: Recent approaches using large-scale pretrained diffusion models for image dehazing improve perceptual quality but often suffer from hallucination issues, producing unfaithful dehazed image to the original one. To mitigate this, we propose ProDehaze, a framework that employs […]


Continue.. ProDehaze: Prompting Diffusion Models Toward Faithful Image Dehazing

Commercial Dishes Can Be My Ladder: Sustainable and Collaborative Data Offloading in LEO Satellite Networks

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Yi Ching Chou, Long Chen, Hengzhi Wang, Feng Wang, Hao Fang | Summary: Low Earth Orbit (LEO) satellite networks, characterized by their high data throughput and low latency, have gained significant interest from both industry and academia. Routing data efficiently within these networks is essential for maintaining […]


Continue.. Commercial Dishes Can Be My Ladder: Sustainable and Collaborative Data Offloading in LEO Satellite Networks

The SPT-Deep Cluster Catalog: Sunyaev-Zel’dovich Selected Clusters from Combined SPT-3G and SPTpol Measurements over 100 Square Degrees

Posted by Stanford

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: K. Kornoelje, L. E. Bleem, E. S. Rykoff, T. M. C. Abbott, P. A. R. Ade | Summary: We present a catalog of 500 galaxy cluster candidates in the SPT-Deep field: a 100 deg$^2$ field that combines data from the SPT-3G and SPTpol surveys to reach noise […]


Continue.. The SPT-Deep Cluster Catalog: Sunyaev-Zel’dovich Selected Clusters from Combined SPT-3G and SPTpol Measurements over 100 Square Degrees

The SPT-Deep Cluster Catalog: Sunyaev-Zel’dovich Selected Clusters from Combined SPT-3G and SPTpol Measurements over 100 Square Degrees

Posted by Stanford

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: K. Kornoelje, L. E. Bleem, E. S. Rykoff, T. M. C. Abbott, P. A. R. Ade | Summary: We present a catalog of 500 galaxy cluster candidates in the SPT-Deep field: a 100 deg$^2$ field that combines data from the SPT-3G and SPTpol surveys to reach noise […]


Continue.. The SPT-Deep Cluster Catalog: Sunyaev-Zel’dovich Selected Clusters from Combined SPT-3G and SPTpol Measurements over 100 Square Degrees

Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space

Posted by dbos Delft

Kavli Affiliate: Eliska Greplova | First 5 Authors: Vinicius Hernandes, Thomas Spriggs, Saqar Khaleefah, Eliska Greplova, | Summary: Neural quantum states (NQS) have emerged as a powerful tool for approximating quantum wavefunctions using deep learning. While these models achieve remarkable accuracy, understanding how they encode physical information remains an open challenge. In this work, we […]


Continue.. Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space

Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space

Posted by dbos Delft

Kavli Affiliate: Eliska Greplova | First 5 Authors: Vinicius Hernandes, Thomas Spriggs, Saqar Khaleefah, Eliska Greplova, | Summary: Neural quantum states (NQS) have emerged as a powerful tool for approximating quantum wavefunctions using deep learning. While these models achieve remarkable accuracy, understanding how they encode physical information remains an open challenge. In this work, we […]


Continue.. Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space

Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Mengsong Wu, Tong Zhu, Han Han, Xiang Zhang, Wenbiao Shao | Summary: Tool learning can further broaden the usage scenarios of large language models (LLMs). However most of the existing methods either need to finetune that the model can only use tools seen in the training data, […]


Continue.. Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models

A “Black Hole Star” Reveals the Remarkable Gas-Enshrouded Hearts of the Little Red Dots

Posted by dbos MIT

Kavli Affiliate: Robert A. Simcoe | First 5 Authors: Rohan P. Naidu, Jorryt Matthee, Harley Katz, Anna de Graaff, Pascal Oesch | Summary: The physical processes that led to the formation of billion solar mass black holes within the first 700 million years of cosmic time remain a puzzle. Several theoretical scenarios have been proposed […]


Continue.. A “Black Hole Star” Reveals the Remarkable Gas-Enshrouded Hearts of the Little Red Dots