Polarization of reflected X-ray emission from the Sgr A molecular complex: multiple flares, multiple sources?

Posted by klaurent MIT

Kavli Affiliate: Herman Marshall | Summary:The extended X-ray emission observed in the direction of several molecular clouds in the central molecular zone of our Galaxy exhibits spectral and temporal properties consistent with the X-ray echo scenario. This concept postulates that the observed signal is a light-travel-time delayed reflection of a short ($δt<$1.5 yr) and bright […]


Continue.. Polarization of reflected X-ray emission from the Sgr A molecular complex: multiple flares, multiple sources?

Polarization of reflected X-ray emission from Sgr A molecular complex: multiple flares, multiple sources?

Posted by klaurent Stanford

Kavli Affiliate: Nicola Omodei| First 5 Authors: Ildar Khabibullin, Ildar Khabibullin, , , | Summary:Extended X-ray emission observed in the direction of several molecular clouds in the Central Molecular Zone (CMZ) of our Galaxy exhibits spectral and temporal properties consistent with the `X-ray echo’ scenario. It postulates that the observed signal is a light-travel-time delayed […]


Continue.. Polarization of reflected X-ray emission from Sgr A molecular complex: multiple flares, multiple sources?

Probing chromospheric fine structures with a Hα proxy using MURaM-ChE

Posted by klaurent Stanford

Kavli Affiliate: Robert Cameron | Summary:H$α$ observations of the solar chromosphere reveal dynamic small-scale structures known as spicules at the limb and rapid blue and red shifted excursions (RBEs/RREs) on-disk. We want to understand what drives these dynamic features, their magnetohydrodynamic (MHD) properties and their role in energy and heat transport to the upper solar […]


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VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Visual Backbones

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Lefei Shen, Lefei Shen, , , | Summary: Recent studies have revealed that vision models pre-trained on images can perform well in time series forecasting by reformulating forecasting as an image reconstruction task, suggesting their potential as universal time series foundation models. However, effective cross-modal transfer from […]


Continue.. VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Visual Backbones

Empowering Time Series Forecasting with LLM-Agents

Posted by klaurent Caltech

Kavli Affiliate: N. C. Yeh| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Large Language Model (LLM) powered agents have emerged as effective planners for Automated Machine Learning (AutoML) systems. While most existing AutoML approaches focus on automating feature engineering and model architecture search, recent studies in time series forecasting suggest that lightweight models can […]


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A second-generation star in a relic dwarf galaxy

Posted by klaurent Chicago

Kavli Affiliate: Alexander Ji | Summary:Stars that contain only trace amounts of elements heavier than helium, referred to as having low "metallicity", preserve the chemical fingerprints of the first generation of stars and supernovae. In the Milky Way, the lowest metallicity stars show an extreme over-abundance of carbon relative to other elements, which has been […]


Continue.. A second-generation star in a relic dwarf galaxy

A second-generation star in a relic dwarf galaxy

Posted by klaurent Chicago

Kavli Affiliate: Alexander P. Ji | First 5 Authors: Anirudh Chiti, Anirudh Chiti, , , | Summary: Stars that contain only trace amounts of elements heavier than helium, referred to as having low "metallicity", preserve the chemical fingerprints of the first generation of stars and supernovae. In the Milky Way, the lowest metallicity stars show […]


Continue.. A second-generation star in a relic dwarf galaxy

Modeling hidden cognitive states reveals acute and chronic effects of fentanyl on decision-making

Posted by dbos Hopkins

Kavli Affiliate: Patricia Janak | Authors: Zhenlong Zhang, Patricia H. Janak and Eric Garr | Summary: The cognitive mechanisms underlying behavior are often dynamic, shifting gradually or abruptly over time scales spanning years, to weeks, to minutes. Whether drug-induced changes in learning and decision-making follow similarly dynamic patterns remains unclear. To address this, we apply […]


Continue.. Modeling hidden cognitive states reveals acute and chronic effects of fentanyl on decision-making

Sequence termination cues drive habits via dopamine-mediated credit assignment

Posted by dbos Hopkins

Kavli Affiliate: Patricia Janak | Authors: Robin Magnard, Yifeng Cheng, Joanna Zhou, Haley Province, Nathalie Thiriet, Patricia H Janak and Youna Vandaele | Summary: Background Mesolimbic dopamine (DA) neurons are central to cue guided reward seeking and action sequence learning. Yet, the mechanisms by which cue-induced DA neural activity drives goal-directed or habitual sequence execution […]


Continue.. Sequence termination cues drive habits via dopamine-mediated credit assignment

BubbleOKAN: A Physics-Informed Interpretable Neural Operator for High-Frequency Bubble Dynamics

Posted by klaurent UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Yunhao Zhang, Yunhao Zhang, , , | Summary: In this work, we employ physics-informed neural operators to map pressure profiles from an input function space to the corresponding bubble radius responses. Our approach employs a two-step DeepONet architecture. To address the intrinsic spectral bias of deep learning […]


Continue.. BubbleOKAN: A Physics-Informed Interpretable Neural Operator for High-Frequency Bubble Dynamics