General resource for ionospheric transient investigations (GRITI): An open-source code developed in support of the Dinsmore et al. (2021) results

Autor: Ross Dinsmore, J.D. Mathews, Julio Urbina

Publikováno v: MethodsX, Vol 8, Iss , Pp 101456- (2021)

The analysis techniques and the corresponding software suite GRITI (General Resource for Ionospheric Transient Investigations) are described. GRITI was used to develop the Dinsmore et al. [2] results, which found a novel classification of traveling i

Externí odkaz: https://doaj.org/article/bae279bf104f432aaedd99c8c0dee41e

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Functional Graph Convolutional Networks: A unified multi-task and multi-modal learning framework to facilitate health and social-care insights

Autor: Boschi, Tobia, Bonin, Francesca, Ordonez-Hurtado, Rodrigo, Rousseau, Cécile, Pascale, Alessandra, Dinsmore, John

Publikováno v: IJCAI 2024

This paper introduces a novel Functional Graph Convolutional Network (funGCN) framework that combines Functional Data Analysis and Graph Convolutional Networks to address the complexities of multi-task and multi-modal learning in digital health and l

Externí odkaz: http://arxiv.org/abs/2403.10158

Catalog of Integrated-Light Star Cluster Light Curves in TESS

Autor: Wainer, Tobin M., Zasowski, Gail, Pepper, Joshua, Wagg, Tom, Hedges, Christina L., Poovelil, Vijith Jacob, Fetherolf, Tara, Davenport, James R. A., Christodoulou, P. Marios, Dinsmore, Jack T., Patel, Avi, Goold, Kameron, Gibson, Benjamin J.

Publikováno v: AJ 166 106 (2023)

We present the first integrated light, TESS-based light curves for star clusters in the Milky Way, Small Magellanic Cloud, and Large Magellanic Cloud. We explore the information encoded in these light curves, with particular emphasis on variability.

Externí odkaz: http://arxiv.org/abs/2307.09510

Constraining the Interiors of Asteroids Through Close Encounters

Autor: Dinsmore, Jack T, de Wit, Julien

Publikováno v: Jack T Dinsmore, Julien de Wit, Constraining the interiors of asteroids through close encounters, Monthly Notices of the Royal Astronomical Society, 2022;, stac2866

Knowledge of the interior density distribution of an asteroid can reveal its composition and constrain its evolutionary history. However, most asteroid observational techniques are not sensitive to interior properties. We investigate the interior con

Externí odkaz: http://arxiv.org/abs/2210.10754