arXiv subjects

G. Vermariën

Publications and source records attributed to G. Vermariën.

4 recordsLinked to original sources

arXiv2026

End-to-end differentiable retrieval of molecular spectra using hydrodynamics, chemistry, and radiative transfer

We aim to reproduce observed molecular line emission using a pipeline that couples hydrodynamics, chemistry, and radiative transfer, capable of simultaneously optimizing all relevant physical and chemical parameters. We developed an end-to-end differentiable Jax pipeline consisting of a custom hydrodynamical code, a modified version of the differentiable chemical code Carbox, and a custom radiative transfer code. We tested the framework using controlled synthetic data. We demonstrate that the framework can recover the parameters of hydrodynamical shock models directly from molecular line spectra and optimize selected chemical reaction rate coefficients through gradient-based optimization. The differentiable formulation enables efficient optimization of the coupled physical and chemical model while preserving the full time-dependent evolution.

astro-ph.IM↗

arXiv2026

CHEMOUT: CHEMical complexity in star-forming regions of the OUTer Galaxy. V. Chemical composition gradients as a function of the galactocentric radius

The outer Galaxy is characterized by a lower metallicity than regions near the Sun, suggesting differences in the formation and survival of molecules in star-forming regions. To understand chemical evolution across the Milky Way, deriving molecular abundances in star-forming regions in the outer Galaxy is essential for refining models of sub-Solar metallicity environments. We analyzed IRAM 30 m observations at 3 and 2 mm toward 35 sources at Galactocentric distances of 9$-$24 kpc, within the "CHEMical complexity in star-forming regions of the outer Galaxy" (CHEMOUT) project. We focused on species with the highest detection rates (i.e., HCN, HCO$^+$, c-C$_3$H$_2$, H$^{13}$CO$^+$, HCO, SO) and searched for trends in column densities, abundances, and line widths with Galactocentric distance. Abundances for H$_2$CO and CH$_3$OH were updated using H$_2$ column densities from new NIKA2 dust maps. Fractional abundances relative to H$_2$ of most species (HCN, HCO$^+$, c-C$_3$H$_2$, HCO, H$_2$CO, CH$_3$OH) scale at most with the elemental carbon abundance ([C/H]) up to $\sim$24 kpc. SO shows a steeper gradient than sulfur abundance ([S/H]), while H$^{13}$CO$^+$ shows a shallower gradient than [$^{13}$C/H]. Gas turbulence, inferred from line widths, decreases with Galactocentric distance, suggesting a more quiescent environment in the outer Galaxy with respect to the inner Galaxy. In the outer Galaxy, the formation efficiency of most molecules, following the parent element availability, is comparable or higher (e.g., for H$^{13}$CO$^+$) than in the local Galaxy, whereas SO forms less efficiently. These results have significant implications for chemical models of the outermost star-forming regions and for understanding molecule formation under lower metallicity conditions.

astro-ph.GA↗

arXiv2024

CHEMOUT: CHEMical complexity in star-forming regions of the OUTer Galaxy. IV. ALMA observations of organic species at Galactocentric radius ~23 kpc

Single-dish observations suggest that the abundances of organic species in star-forming regions of the outer Galaxy, characterised by sub-Solar metallicities, are comparable to those found in the local Galaxy. To understand this counter-intuitive result, and avoid misleading interpretation due to beam dilution effects at such large distances, spatially resolved molecular emission maps are needed to link correctly measured abundances and local physical properties. We observed several organic molecules with the Atacama Large Millimeter Array towards WB89-671, the source with the largest Galactocentric distance (23.4~kpc) of the project "CHEMical complexity in star-forming regions of the OUTer Galaxy" (CHEMOUT), at a resolution of 15000~au. We compared the observed molecular abundances with chemical model predictions. We detected emission of c-C3H2, C4H, CH3OH, H2CO, HCO, H13CO+, HCS+, CS, HN13C, and SO. The emission morphology is complex, extended, and different in each tracer. The most intense emission in H13CO+, H2CO and c-C3H2 arises from two millimeter continuum, infrared-bright cores. The most intense CH3OH and SO emission arises predominantly from the part of the filament with no continuum sources. The narrow linewidths across the filament indicate quiescent gas, despite the two embedded protostars. Derived molecular column densities are comparable with those in local star-forming regions, and suggest anti-correlation between hydrocarbons, ions, HCO, and H2CO on one side, and CH3OH and SO on the other. Static chemical models that best match the observed column densities favour low energetic conditions, expected at large Galactocentric radii, but carbon elemental abundances 3 times higher than that derived extrapolating the [C/H] Galactocentric gradient at 23~kpc. This would indicate a flatter [C/H] trend at large Galactocentric radii, in line with a flat abundance of organics.

astro-ph.GA↗

arXiv2021

Graph Neural Networks for reconstruction and classification in KM3NeT

KM3NeT, a neutrino telescope currently under construction in the Mediterranean Sea, consists of a network of large-volume Cherenkov detectors. Its two different sites, ORCA and ARCA, are optimised for few GeV and TeV-PeV neutrino energies, respectively. This allows for studying a wide range of physics topics spanning from the determination of the neutrino mass hierarchy to the detection of neutrinos from astrophysical sources. Deep Learning techniques provide promising methods to analyse the signatures induced by charged particles traversing the detector. This document will cover a Deep Learning based approach using Graph Convolutional Networks to classify and reconstruct events in both the ORCA and ARCA detector. Performance studies on simulations as well as applications to real data will be presented, together with comparisons to classical approaches.

astro-ph.IM↗