Optical Emission-Line Properties of eROSITA-selected SDSS-V Galaxies

Kavli Affiliate: Claudio Ricci | First 5 Authors: Nadiia G. Pulatova, Nadiia G. Pulatova, , , | Summary: We present and discuss optical emission line properties obtained from the analysis of Sloan Digital Sky Survey (SDSS) spectra for an X-ray selected sample of 3684 galaxies (0.002 < z < 0.55), drawn from the eRASS1 catalog. […]


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HLSDebugger: Identification and Correction of Logic Bugs in HLS Code with LLM Solutions

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jing Wang, , , | Summary: High-level synthesis (HLS) accelerates hardware design by enabling the automatic translation of high-level descriptions into efficient hardware implementations. However, debugging HLS code is a challenging and labor-intensive task, especially for novice circuit designers or software engineers without sufficient hardware […]


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Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach

Kavli Affiliate: Jia Liu | First 5 Authors: Fnu Hairi, Fnu Hairi, , , | Summary: In many multi-objective reinforcement learning (MORL) applications, being able to systematically explore the Pareto-stationary solutions under multiple non-convex reward objectives with theoretical finite-time sample complexity guarantee is an important and yet under-explored problem. This motivates us to take the […]


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Excitation and tunneling spectra of a fractional quantum Hall system in the thin cylinder limit

Kavli Affiliate: Joel E. Moore | First 5 Authors: Jyesta M. Adhidewata, Jyesta M. Adhidewata, , , | Summary: The excitations of fractional quantum Hall effect (FQHE) states have been largely inaccessible to experimental probes until recently. New electron scanning tunneling microscopy (STM) results from Hu et.al. (2023) show promise in detecting and identifying these […]


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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models

Kavli Affiliate: Wei Gao | First 5 Authors: Kai Liu, Kai Liu, , , | Summary: Universal machine learning interatomic potentials (uMLIPs) are reshaping atomistic simulation as foundation models, delivering near textitab initio accuracy at a fraction of the cost. Yet the lack of reliable, general uncertainty quantification limits their safe, wide-scale use. Here we […]


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Synteny-aware functional annotation of bacteriophage genomes with Phynteny

Kavli Affiliate: Robert Edwards | Authors: Susanna R Grigson, George Bouras, Bhavya Papudeshi, Vijini Mallawaarachchi, Michael J Roach, Przemyslaw Decewicz and Robert A Edwards | Summary: Accurate genome annotation is fundamental to decoding viral diversity and understanding bacteriophage biology; yet, the majority of bacteriophage genes remain functionally uncharacterised. Bacteriophage genomes often exhibit conserved gene order, […]


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Information in 4D-STEM: Where it is, and How to Use it

Kavli Affiliate: David A. Muller | First 5 Authors: Desheng Ma, Desheng Ma, , , | Summary: Contrast transfer mechanisms for electron scattering have been extensively studied in transmission electron microscopy. Here we revisit H. Rose’s generalized contrast formalism from scattering theory to understand where information is encoded in four-dimensional scanning transmission electron microscopy (4D-STEM) […]


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Mosquito sex under lock and key

Kavli Affiliate: Leslie B. Vosshall | Authors: Leah Houri-Zeevi, Madison M. Walker, Jacopo Razzauti, Anurag Sharma, H. Amalia Pasolli and Leslie B. Vosshall | Summary: Female mosquitoes typically mate once in a lifetime, making this singular mating decision critically important for the female. Yet, mosquito mating has been historically viewed as male-guided, with the female […]


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Continuous partitioning of neuronal variability

Kavli Affiliate: Adam S. Charles | Authors: Anuththara Rupasinghe, Adam S Charles and Jonathan W Pillow | Summary: Neural variability poses a major challenge to understanding the information content of neural codes. Recent work by Goris et al. (Nat. Neurosci 2014) has provided new insights into variability in the visual pathway by partitioning it into […]


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