most citedUnmasking the physical information inherent to interstellar spectral line profiles with Machine Learning. I. Application of LTE to HCN and HNC transitions

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

astro-ph.GA2025★ 3 cited

Unmasking the physical information inherent to interstellar spectral line profiles with Machine Learning. I. Application of LTE to HCN and HNC transitions

Edgar Mendoza, Pietro Dall'Olio, Luciene S. Coelho +4

Physical and chemical conditions (kinetic temperature, volume density, molecular composition) of interstellar clouds are inherent in their mm-submm line spectra, making spectral li…