Published August 19, 2025
| Version v1
Dataset
Open
List of experiments in the training dataset of AICE
Authors/Creators
Description
This document provides supplementary data for the article titled A fast machine learning tool to predict the composition of interstellar ices from infrared absorption spectra, written by A. Megías et al. and accepted for publication in the journal Astronomy & Astrophysics in 2025. In this paper, the tool AICE (Automatic Ice Composition Estimator) is presented.
Files
AICE-extra.pdf
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Additional details
Funding
- Ministerio de Ciencia, Innovación y Universidades
- PID2023-146415NB-I00
- European Research Council
- OPENS GA N. 101125858
- Agence Nationale de la Recherche
- ANR-SPV2024482020-2024
- European Research Council
- MOLDISK GA N. 291141
Software
- Repository URL
- https://github.com/andresmegias/aice/
- Programming language
- Python
- Development Status
- Active