Realistic and Informative Simulations with machine learnING

Project Information

RISING

Grant agreement ID: 896248

DOI

10.3030/896248

Project terminated on 6 April 2024

EC signature date 7 July 2020

Start date 1 September 2021

End date 31 August 2024

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 255 768,00

EU contribution

€ 255 768,00

Coordinated by

UNIVERSITA DEGLI STUDI DI PADOVA
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (7)

Parameter Estimation for Open Clusters using an Artificial Neural Network with a QuadTree-based Feature Extractor

Author(s): Lorenzo Cavallo; Lorenzo Spina; Giovanni Carraro; Laura Magrini; Eloisa Poggio; Tristan Cantat-Gaudin; Mario Pasquato; Sara Lucatello; Sergio Ortolani; Jose Schiappacasse-Ulloa
Published in: The Astronomical Journal, Vol 167, Iss 1, p 12 (2023), Issue 5, 2023, ISSN 1538-3881
Publisher: IOPScience
DOI: 10.3847/1538-3881/ad07e5

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers

Author(s): Huppenkothen, D.; Ntampaka, M.; Ho, M.; Fouesneau, M.; Nord, B.; Peek, J. E. G.; Walmsley, M.; Wu, J. F.; Avestruz, C.; Buck, T.; Brescia, M.; Finkbeiner, D. P.; Goulding, A. D.; Kacprzak, T.; Melchior, P.; Pasquato, M.; Ramachandra, N.; Ting, Y. -S.; van de Ven, G.; Villar, S.; Villar, V. A.; Zinger, E.
Published in: Bullettin of the AAS, Issue 2, 2023, ISSN 0002-7537
Publisher: AAS
DOI: 10.48550/arxiv.2310.12528

Hierarchical generative models for star clusters from hydro-dynamical simulations

Author(s): Stefano Torniamenti, Mario Pasquato, Pierfrancesco Di Cintio, Alessandro Ballone, Giuliano Iorio, M. Celeste Artale, Michela Mapelli
Published in: Monthly Notices of the Royal Astronomical Society, 2022, ISSN 0035-8711
Publisher: Blackwell Publishing Inc.
DOI: 10.1093/mnras/stab3608

Quantitatively rating galaxy simulations against real observations with anomaly detection

Author(s): Zehao Jin; Andrea V Macciò; Nicholas Faucher; Mario Pasquato; Tobias Buck; Keri L Dixon; Nikhil Arora; Marvin Blank; Pavle Vulanovic
Published in: Crossref, Issue 3, 2023, ISSN 1365-2966
Publisher: Oxford Academic
DOI: 10.1093/mnras/stae552

Sparse Logistic Regression for RR Lyrae versus Binaries Classification

Author(s): Piero Trevisan; Mario Pasquato; Gaia Carenini; Nicolas Mekhaël; Vittorio F. Braga; Giuseppe Bono; Mohamad Abbas
Published in: The Astrophysical Journal, Vol 950, Iss 2, p 103 (2023), Issue 1, 2023, ISSN 1538-4357
Publisher: IOPScience
DOI: 10.3847/1538-4357/accf8f

II. Core collapse

Author(s): Di Cintio, Pierfrancesco; Pasquato, Mario; Simon-Petit, Alicia; Yoon, Suk-Jin
Published in: A&A, Issue 1, 2022, ISSN 2575-3126
Publisher: EDP Sciences
DOI: 10.1051/0004-6361/202140710

NIHAO – XXVIII. Collateral effects of AGN on dark matter concentration and stellar kinematics

Author(s): Stefan Waterval; Sana Elgamal; Matteo Nori; Mario Pasquato; Andrea V Macciò; Marvin Blank; Keri L Dixon; Xi Kang; Tengiz Ibrayev
Published in: Crossref, Issue 3, 2022, ISSN 0035-8711
Publisher: Blackwell Publishing Inc.
DOI: 10.1093/mnras/stac1191

Conference proceedings (1)

Quadtree features for machine learning on CMDs

Author(s): Schiappacasse-Ulloa, Jose; Pasquato, Mario; Lucatello, Sara
Published in: Issue 5, 2023
Publisher: -
DOI: 10.48550/arxiv.2306.15487