Tootfinder

🇺🇦 #NowPlaying on KEXP's #ElSonido
Soda Stereo:
🎵 En la ciudad de la furia (MTV Unplugged)
#SodaStereo
https://filizola.bandcamp.com/track/soda-stereo-en-la-ciudad-de-la-furia-filizola-rework
https://open.spotify.com/track/2p4FOWHHd2A6TBmTkdt1G0

Esto promete 🥰
#DiaDelVinilo #Chile #Vinilos

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Traditional Catalan, Orquesta Ciudad de Barcelona, Luis Garcia Navarro, Victoria de los Ángeles, Lluís Claret & Xavier Montsalvatge:
🎵 El cant dels ocells [bird's song]
#TraditionalCatalan #OrquestaCiudaddeBarcelona

A fast machine learning tool to predict the composition of astronomical ices from infrared absorption spectra
Andr\'es Meg\'ias, Izaskun Jim\'enez-Serra, Fran\c{c}ois Dulieu, Julie Vitorino, Bel\'en Mat\'e, David Ciudad, Will R. M. Rocha, Marcos Mart\'inez Jim\'enez, Jacobo Aguirre
https://arxiv.org/abs/2509.043…

A fast machine learning tool to predict the composition of astronomical ices from infrared absorption spectra
Current observations taken by James Webb Space Telescope (JWST) allow us to observe the absorption features of icy mantles that cover interstellar dust grains, which are mainly composed of $\mathrm{H_2O}$, $\mathrm{CO}$, and $\mathrm{CO_2}$, along with other minor species. Thanks to its sensitivity and spectral resolution, JWST has the potential to observe ice features towards hundreds of sources at different stages along the process of star formation. However, identifying the spectral features…