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

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

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

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

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

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

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

Prophages as a source of antimicrobial resistance genes in the human microbiome

Kavli Affiliate: Robert Edwards | Authors: Laura K Inglis, Michael J Roach, Susanna R Grigson and Robert A. Edwards | Summary: Prophages—viruses that integrate into bacterial genomes—are ubiquitous in the microbial realm. Prophages contribute significantly to horizontal gene transfer, including the potential spread of antimicrobial resistance (AMR) genes, because they can collect host genes. Understanding […]


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Subaru Hyper-Supreme Cam observations of IC 1396: Source catalogue, member population, and sub-clusters of the complex

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Swagat R Das, Saumya Gupta, Jessy Jose, Manash Samal, Gregory J. Herczeg | Summary: To identify member populations of IC 1396, we employ the random forest (RF) classifier of machine learning technique. Random forest classifier is an ensemble of individual decision trees suitable for large, high-dimensional […]


Continue.. Subaru Hyper-Supreme Cam observations of IC 1396: Source catalogue, member population, and sub-clusters of the complex

Unveiling the sea: universality of the transverse momentum dependent quark distributions at small $x$

Kavli Affiliate: Feng Yuan | First 5 Authors: Paul Caucal, Marcos Guerrero Morales, Edmond Iancu, Farid Salazar, Feng Yuan | Summary: Within the Colour Glass Condensate effective theory, we demonstrate that back-to-back dijet correlations in dilute-dense collisions involving a small-$x$ quark from the nuclear target can be factorised in terms of universal transverse momentum dependent […]


Continue.. Unveiling the sea: universality of the transverse momentum dependent quark distributions at small $x$

Unveiling the sea: universality of the transverse momentum dependent quark distributions at small $x$

Kavli Affiliate: Feng Yuan | First 5 Authors: Paul Caucal, Marcos Guerrero Morales, Edmond Iancu, Farid Salazar, Feng Yuan | Summary: Within the Colour Glass Condensate effective theory, we demonstrate that back-to-back dijet correlations in dilute-dense collisions involving a small-$x$ quark from the nuclear target can be factorised in terms of universal transverse momentum dependent […]


Continue.. Unveiling the sea: universality of the transverse momentum dependent quark distributions at small $x$