A Mid-Infrared Spectroscopic Study of Young Stellar Objects in the SMC Region NGC 346: JWST Detects Dust, Accretion, Ices and Outflows
Nolan Habel, Omnarayani Nayak, Patrick J. Kavanagh, Olivia C. Jones, Margaret Meixner, Guido De Marchi, Laura Lenkic, Alec S. Hirschauer, Katia Biazzo, Jeroen Jaspers, Conor Nally, Massimo Robberto, Ciaran Rogers, Elena Sabbi, Beth A. Sargent, Peter Zeidler
RSV-SLAM: Toward Real-Time Semantic Visual SLAM in Indoor Dynamic Environments
Mobin Habibpour, Alireza Nemati, Ali Meghdari, Alireza Taheri, Shima Nazari
https://arxiv.org/abs/2510.02616
Self-lensing binaries in globular clusters - predictions for ELT
Grzegorz Wiktorowicz, Matthew Middleton, Mirek Giersz, Adam Ingram, Adam McMaster, Abbas Askar, Lucas Hellstr\"om
https://arxiv.org/abs/2510.02751
\'Etude de quelques familles de $\lambda$-quiddit\'es et minoration de la taille maximale des $\lambda$-quiddit\'es irr\'eductibles sur un corps fini
Flavien Mabilat
https://arxiv.org/abs/2510.09219
Learning Paths to Multi-Sector Equilibrium: Belief Dynamics Under Uncertain Returns to Scale
Stefano Nasini, Rabia Nessah, Bertrand Wigniolle
https://arxiv.org/abs/2512.07013 https://arxiv.org/pdf/2512.07013 https://arxiv.org/html/2512.07013
arXiv:2512.07013v1 Announce Type: new
Abstract: This paper explores the dynamics of learning in a multi-sector general equilibrium model where firms operate under incomplete information about their production returns to scale. Firms iteratively update their beliefs using maximum a-posteriori estimation, derived from observed production outcomes, to refine their knowledge of their returns to scale. The implications of these learning dynamics for market equilibrium and the conditions under which firms can effectively learn their true returns to scale are the key objects of this study. Our results shed light on how idiosyncratic shocks influence the learning process and demonstrate that input decisions encode all pertinent information for belief updates. Additionally, we show that a long-memory (path-dependent) learning which keeps track of all past estimations ends up having a worse performance than a short-memory (path-independent) approach.
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Disk fraction among free-floating planetary-mass objects in Upper Scorpius
Tommy Rodrigues, Herv\'e Bouy, Sean N. Raymond, Eduardo L. Mart\'in, Emmanuel Bertin, Javier Olivares, David Barrado, N\'uria Hu\'elamo, Motohide Tamura, N\'uria Miret Roig, Phillip A. B. Galli, Jean-Charles Cuillandre
https://arxiv.org/abs/2510.…
Revealing the temperature effect on the nucleon-nucleon inelastic cross section in isospin-asymmetric nuclear medium
Manzi Nan, Pengcheng Li, Guojun Wei, Xilong Xiang, Wei Zuo, Qingfeng Li
https://arxiv.org/abs/2510.09337
Two-stream network-driven vision-based tactile sensor for object feature extraction and fusion perception
Muxing Huang, Zibin Chen, Weiliang Xu, Zilan Li, Yuanzhi Zhou, Guoyuan Zhou, Wenjing Chen, Xinming Li
https://arxiv.org/abs/2510.12528