Coffee talks
Friday 07/06/2024 @ 11:30, Sala riunioni quarto piano e online
Fabrizia Guglielmetti (European Southern Observatory), "A BRAIN study to tackle imaging in the ALMA 2030 era"
The ESO internal ALMA development study, BRAIN, utilizes Artificial Intelligence imaging algorithms for ALMA data [1,2]. Employing both astrostatistics and astroinformatics techniques, this study integrates interdisciplinary approaches spanning observational astronomy, statistics, algorithm development, and data science [3]. We offer compelling evidence of the benefits of these data driven methodologies in ALMA image analysis foroperational and scientific purposes. Specifically, RESOLVE [4,5] and DeepFocus [6] show significant advantages, including improvements in data product quality and processing time reduction. These approaches pave the way for addressing the data analysis revolution expected by ALMA2030 [7]. Additionally, we introduce ALMASim, a new package aimed at advancing these fields by providing a refined ALMA simulator accessible to a wide audience. As of 2024, this study is nearing its end of term. REFERENCES: [1] Guglielmetti, F. et al Phys. Sci. Forum 2023, 9(1), 18 [2] Guglielmetti, F. et al Phys. Sci. Forum 2022, 5(1), 50 [3] Siemiginovska, A. et al arXiv:1903.06796 [4] Junklewitz. H. et al A&A, 586, A76 (2016) [5] Tychoniec, L. et al Phys. Sci. Forum 2022, 5(1), 52 [6] Delli Veneri, M. et al MNRAS, 518, 3 (2023) [7] Carpenter, J. et al "The ALMA Development Program: Roadmap to 2030", arXiv:2001.11076