Tootfinder

The Rosetta Stone Project. I. A suite of radiative magnetohydrodynamics simulations of high-mass star-forming clumps
Ugo Lebreuilly, Alessio Traficante, Alice Nucara, Ngo-Duy Tung, Patrick Hennebelle, Sergio Molinari, Ralf S. Klessen, Leonardo Testi, Veli-Matti Pelkonen, Milena Benedettini, Alessandro Coletta, Davide Elia, Chiara Mininni, Stefania Pezzuto, Juan D. Soler, Paolo Suin, Claudia Toci

The Rosetta Stone Project. I. A suite of radiative magnetohydrodynamics simulations of high-mass star-forming clumps
Context. Star formation and, in particular, high-mass star formation are key astrophysical processes that are far from being fully understood. Unfortunately, progress in these fields is slow because observations are hard to interpret as they cannot be directly compared to numerical simulations. Synthetic observations are therefore necessary to better constrain the models. Aims. With the Rosetta Stone project, we aim to develop an end-to-end pipeline to compare star formation simulations with ob…

SOFIA/HAWC Far-infrared Polarimetric Large Area #CMZ Exploration Survey - the Magnetic Field Strength and Morphology in the Sagittarius C Complex: https://iopscience.iop.org/article/10.3847/1538-4357/ade80d -> Galactic Rosetta Stone: https://physicalsciences.uchicago.edu/news/article/galactic-rosetta-stone/

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics
Carter Blum, Katja Filipova, Ann Yuan, Asma Ghandeharioun, Julian Zimmert, Fred Zhang, Jessica Hoffmann, Tal Linzen, Martin Wattenberg, Lucas Dixon, Mor Geva
https://arxiv.org/abs/2508.11017

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics
Large language models (LLMs) struggle with cross-lingual knowledge transfer: they hallucinate when asked in one language about facts expressed in a different language during training. This work introduces a controlled setting to study the causes and dynamics of this phenomenon by training small Transformer models from scratch on synthetic multilingual datasets. We identify a learning phase wherein a model develops either separate or unified representations of the same facts across languages, an…

Aktueller Titel: Rosetta Stone – Devil Woman
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Crosslisted article(s) found for astro-ph.SR. https://arxiv.org/list/astro-ph.SR/new
[1/1]:
- The Rosetta Stone Project. II. The correlation between star formation efficiency and L/M indicato...
Duy Tung, et al.

The Rosetta Stone project. III. ALMA synthetic observations of fragmentation in high-mass star-forming clumps
Alice Nucara, Alessio Traficante, Ugo Lebreuilly, Ngo-Duy Tung, Sergio Molinari, Patrick Hennebelle, Leonardo Testi, Ralf S. Klessen, Veli-Matti Pelkonen, Adam Avison, Milena Benedettini, Alessandro Coletta, Fabrizio De Angelis, Davide Elia, Gary A. Fuller, Bethany M. Jones, Seyma Mercimek, Chiara Mininni, Stefania Pezzuto, Thushara Pillai, Veronica Roccatagliata, Eugenio Schis…

The Rosetta Stone project. III. ALMA synthetic observations of fragmentation in high-mass star-forming clumps
The physical mechanisms that regulate the collapse of high-mass parsec-scale clumps and allow them to form clusters of new stars represent a crucial aspect of star formation. To investigate these mechanisms, we developed the Rosetta Stone project: an end-to-end (simulations-observations) framework that is based on the systematic production of realistic synthetic observations of clump fragmentation and their comparison with real data. In this work, we compare ALMA 1.3mm continuum dust emission o…