Hands-on Introduction to Randomized Benchmarking

Kavli Affiliate: Eliska Greplova | First 5 Authors: Ana Silva, Eliska Greplova, , , | Summary: The goal of this tutorial is to provide an overview of the main principles behind randomized benchmarking techniques. A newcomer to the field faces the challenge that a considerable amount of background knowledge is required to get familiar with […]


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CryoFM: A Flow-based Foundation Model for Cryo-EM Densities

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Yilai Li, Jing Yuan, Quanquan Gu, | Summary: Cryo-electron microscopy (cryo-EM) is a powerful technique in structural biology and drug discovery, enabling the study of biomolecules at high resolution. Significant advancements by structural biologists using cryo-EM have led to the production of over 38,626 protein […]


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Is the Gum Nebula an Important Interstellar Scattering Disk of Background Pulsars?

Kavli Affiliate: Kejia Lee | First 5 Authors: Rui Wang, Zhen Yan, Zhiqiang Shen, KeJia Lee, Yajun Wu | Summary: The Gum Nebula is a faint supernova remnant extending about 40 degrees across the southern sky, potentially affecting tens of background pulsars. Though the view that the Gum Nebula acts as a potential scattering screen […]


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Observation of time-dependent $CP$ violation and measurement of the branching fraction of $B^0 to J/ψπ^0$ decays

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, L. Aggarwal, H. Ahmed, H. Aihara | Summary: We present a measurement of the branching fraction and time-dependent charge-parity ($CP$) decay-rate asymmetries in $B^0 to J/psi pi^0$ decays. The data sample was collected with the Belle~II detector at the SuperKEKB asymmetric $e^+e^-$ […]


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Galaxy populations in protoclusters at cosmic noon

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Moira Andrews, M. Celeste Artale, Ankit Kumar, Kyoung-Soo Lee, Tess Florek | Summary: We investigate the physical properties and redshift evolution of simulated galaxies residing in protoclusters at cosmic noon, to understand the influence of the environment on galaxy formation. This work is to build clear expectations […]


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The STROBE-X Low Energy Modular Array (LEMA) Instrument

Kavli Affiliate: Ronald A. Remillard | First 5 Authors: Keith C. Gendreau, Dominic Maes, Ronald A. Remillard, Paul S. Ray, Zaven Arzoumanian | Summary: The Low Energy Modular Array (LEMA) is one of three instruments that compose the STROBE-X mission concept. The LEMA is a large effective-area, high throughput, non-imaging pointed instrument based on the […]


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STROBE-X Mission Overview

Kavli Affiliate: Deepto Chakrabarty | First 5 Authors: Paul S. Ray, Peter W. A. Roming, Andrea Argan, Zaven Arzoumanian, David R. Ballantyne | Summary: We give an overview of the science objectives and mission design of the Spectroscopic Time-Resolving Observatory for Broadband Energy X-rays (STROBE-X) observatory, which has been proposed as a NASA probe-class (~$1.5B) […]


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Eridanus III and DELVE 1: Carbon-rich Primordial Star Clusters or the Smallest Dwarf Galaxies?

Kavli Affiliate: Alexander P. Ji | First 5 Authors: Joshua D. Simon, Ting S. Li, Alexander P. Ji, Andrew B. Pace, Terese T. Hansen | Summary: We present spectroscopy of the ultra-faint Milky Way satellites Eridanus III (Eri III) and DELVE 1. We identify eight member stars in each satellite and place non-constraining upper limits […]


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Efficient Dictionary Learning with Switch Sparse Autoencoders

Kavli Affiliate: Max Tegmark | First 5 Authors: Anish Mudide, Joshua Engels, Eric J. Michaud, Max Tegmark, Christian Schroeder de Witt | Summary: Sparse autoencoders (SAEs) are a recent technique for decomposing neural network activations into human-interpretable features. However, in order for SAEs to identify all features represented in frontier models, it will be necessary […]


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MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code

Kavli Affiliate: Ke Wang | First 5 Authors: Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi | Summary: Code has been shown to be effective in enhancing the mathematical reasoning abilities of large language models due to its precision and accuracy. Previous works involving continued mathematical pretraining often include code that utilizes math-related […]


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