2.9k citations
- Centre National de la Recherche ScientifiqueFR147 papers
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- Max Planck Institute for Extraterrestrial PhysicsDE84 papers
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1,831 papers
ATLASGAL: The HCN-IR Star Formation Relation for the Milky Way
I. I. Grozdanova, J. S. Urquhart, W. -J. Kim +8
We examine the relation between star formation and dense gas, traced by HCN(1-0), using a sample of 343 Galactic clumps spanning the full range of evolutionary stages representativ…
The independence of the mid-infrared RR Lyrae Period-Luminosity relation from metallicity from a study of three globular clusters in the Large Magellanic Cloud
Steve Ardern, Vicky Scowcroft, Stijn Wuyts
RR Lyrae are pulsating variable stars tracing old ( Gyr) stellar populations, and exhibit a strong mid-infrared Period-Luminosity (PL) relation that can be calibrated with kno…
Local density of states distribution and multifractal eigenvectors of weighted random networks via the cavity approach
Joseph W. Baron, Tim Rogers
We study the local density of states (LDoS) distribution of a general class of weighted Erdős-Rényi graphs. Using the cavity method, we obtain a good approximation to the full LDoS…
Origin of the Temperature-Induced Gap Bowing of Formamidinium-Methylammonium Lead Iodide Perovskites: Role of Cationic Rattlers
Kai Xu, Adrián Francisco-López, Bethan L. Charles +4
A thorough understanding of the temperature dependence of semiconductor band gaps is essential for optimizing optoelectronic devices. In this respect, the origin of the pronounced…
Jet-Structure Imprint on the Curvature Tail of Gamma-Ray Burst Prompt Emission
Zhen-Yu Yan, Xiao-Hong Zhao, Hendrik J. van Eerten +7
Even though the prompt emission of gamma-ray bursts (GRBs) is highly beamed, high-latitude emission still produces a distinct light curve break after the intrinsic emission ceases…
Transformer self-attention encoder-decoder with multimodal deep learning for response time series forecasting and digital twin support in wind structural health monitoring
Feiyu Zhou, Marios Impraimakis
The wind-induced structural response forecasting capabilities of a novel transformer methodology are examined here. The model also provides a digital twin component for bridge stru…