Zobrazeno 1 - 10
of 6 561
pro vyhledávání: '"Martin, Thomas. A."'
The Andromeda galaxy (M31) is the most nearby giant spiral galaxy, an opportunity to study with high resolution dynamical phenomena occurring in nuclear disks and bulges, able to explain star formation quenching, and galaxy evolution through collisio
Externí odkaz:
http://arxiv.org/abs/2411.18460
Growing concerns over the lack of transparency in AI, particularly in high-stakes fields like healthcare and finance, drive the need for explainable and trustworthy systems. While Large Language Models (LLMs) perform exceptionally well in generating
Externí odkaz:
http://arxiv.org/abs/2411.08469
This paper presents a hybrid methodology that enhances the training process of deep learning (DL) models by embedding domain expert knowledge using ontologies and answer set programming (ASP). By integrating these symbolic AI methods, we encode domai
Externí odkaz:
http://arxiv.org/abs/2411.08463
Autor:
Martin, Thomas, Guénard, Adrien, Tempez, Vladislav, Renaud, Lucien, Raharijaona, Thibaut, Ruffier, Franck, Mouret, Jean-Baptiste
Air ducts are integral to modern buildings but are challenging to access for inspection. Small quadrotor drones offer a potential solution, as they can navigate both horizontal and vertical sections and smoothly fly over debris. However, hovering ins
Externí odkaz:
http://arxiv.org/abs/2410.08379
Autor:
Puertas, Salvador Duarte, Drissen, Laurent, Robert, Carmelle, Rousseau-Nepton, Laurie, Martin, R. Pierre, Amram, Philippe, Martin, Thomas
We present a spatially resolved study of the kinematical properties of known supernova remnants (SNRs) in the nearest galaxies of the SIGNALS survey, namely NGC 6822 (one object) and M33 (163 objects), based on data obtained with the SITELLE Imaging
Externí odkaz:
http://arxiv.org/abs/2407.01153
Autor:
Lu, Anan, Haggard, Daryl, Bureau, Martin, Gensior, Jindra, Jeffreson, Sarah, Robert, Carmelle, Williams, Thomas G., Liang, Fu-Heng, Choi, Woorak, Davis, Timothy A., Babic, Sara, Boyce, Hope, Cheung, Benjamin, Drissen, Laurent, Elford, Jacob S., Liu, Lijie, Martin, Thomas, Rhea, Carter, Rousseau-Nepton, Laurie, Ruffa, Ilaria
Early-type galaxies (ETGs) are known to harbour dense spheroids of stars but scarce star formation (SF). Approximately a quarter of these galaxies have rich molecular gas reservoirs yet do not form stars efficiently. We study here the ETG NGC~524, wi
Externí odkaz:
http://arxiv.org/abs/2406.01291
Autor:
Temim, Tea, Laming, J. Martin, Kavanagh, P. J., Smith, Nathan, Slane, Patrick, Blair, William P., De Looze, Ilse, Bucciantini, Niccolò, Jerkstrand, Anders, Gountanis, Nicole Marcelina, Sankrit, Ravi, Milisavljevic, Dan, Rest, Armin, Lyutikov, Maxim, DePasquale, Joseph, Martin, Thomas, Drissen, Laurent, Raymond, John, Fox, Ori D., Modjaz, Maryam, Spitkovsky, Anatoly, Strolger, Lou
We present JWST observations of the Crab Nebula, the iconic remnant of the historical SN 1054. The observations include NIRCam and MIRI imaging mosaics, plus MIRI/MRS IFU spectra that probe two select locations within the ejecta filaments. We derive
Externí odkaz:
http://arxiv.org/abs/2406.00172
Publikováno v:
J. Theor. Biol. 597, 111989 (2025)
The century-long Michaelis-Menten rate law and its modifications in the modeling of biochemical rate processes stand on the assumption that the concentration of the complex of interacting molecules, at each moment, rapidly approaches an equilibrium (
Externí odkaz:
http://arxiv.org/abs/2403.11979
Autor:
Vigneron, Benjamin, Hlavacek-Larrondo, Julie, Rhea, Carter Lee, Gendron-Marsolais, Marie-Lou, Lim, Jeremy, Reinheimer, Jake, Li, Yuan, Drissen, Laurent, Bryan, Greg L., Donahue, Megan, Edge, Alastair, Fabian, Andrew, Hamer, Stephen, Martin, Thomas, McDonald, Michael, McNamara, Brian, Richard-Lafferriere, Annabelle, Rousseau-Nepton, Laurie, Voit, G. Mark, Webb, Tracy, Werner, Norbert
Publikováno v:
ApJ 962 96 (2024)
We present new high-spectral resolution observations (R = $\lambda/\Delta\lambda$ = 7000) of the filamentary nebula surrounding NGC 1275, the central galaxy of the Perseus cluster. These observations have been obtained with SITELLE, an imaging Fourie
Externí odkaz:
http://arxiv.org/abs/2311.16247
Autor:
Schreck, John S., Gagne II, David John, Becker, Charlie, Chapman, William E., Elmore, Kim, Fan, Da, Gantos, Gabrielle, Kim, Eliot, Kimpara, Dhamma, Martin, Thomas, Molina, Maria J., Pryzbylo, Vanessa M., Radford, Jacob, Saavedra, Belen, Willson, Justin, Wirz, Christopher
Robust quantification of predictive uncertainty is critical for understanding factors that drive weather and climate outcomes. Ensembles provide predictive uncertainty estimates and can be decomposed physically, but both physics and machine learning
Externí odkaz:
http://arxiv.org/abs/2309.13207