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most citedStellar age determination using deep neural networks: Isochrone ages for 1.3 million stars, based on BaSTI, MIST, PARSEC, Dartmouth and SYCLIST evolutionary grids

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astro-ph.GA2026

Isomer-specific excitation of formic acid in collisions with helium atoms

Karina Sogomonyan, Anzhela Veselinova-Marinova, François Lique +1

An accurate estimation of the molecular abundances of isomers in the interstellar medium (ISM) is necessary to unravel the underlying chemistry and physics. After the recent detect…

astro-ph.GA2026

Quantum and Structural Effects Captured via a Statistical Method: the SACM Applied to HCN and HNC Colliding with CO

F. Tonolo, E. Quintas-Sánchez, A. Batista-Planas +2

This work spotlights the Statistical Adiabatic Channel Model as an efficient and accurate method for deriving low temperature (de)-excitation rate coefficients for collisions induc…

astro-ph.GA2026

Chemistry and ro-vibrational excitation of CH in the planetary nebula NGC 7027

Milan Sil, Alexandre Faure, Helmut Wiesemeyer +5

Small carbon hydride cations, such as the methylidyne ion (CH), play an important role in the chemistry of the interstellar medium (ISM). They participate in gas-phase reaction…

astro-ph.GA20261 cited

Stellar age determination using deep neural networks: Isochrone ages for 1.3 million stars, based on BaSTI, MIST, PARSEC, Dartmouth and SYCLIST evolutionary grids

T. Boin, L. Casamiquela, M. Haywood +4

We aim to develop a model-driven deep learning approach to age determination, by training neural networks on stellar evolutionary grids. Contrary to the usual data-driven deep lear…

astro-ph.GA2026

Carbon chain diversity in L1544 and IRAS 16293-2422: an astrochemical pathfinder study for the SKAO

Lisa Giani, Eleonora Bianchi, Anthony Remijan +12

Astrochemical observations have revealed a surprisingly high level of chemical complexity, including long carbon chains, in the earliest stages of Sun-like star formation. The orig…