Zobrazeno 1 - 10
of 3 538
pro vyhledávání: '"Levasseur, P."'
Autor:
Jin, Zehao, Pasquato, Mario, Davis, Benjamin L., Deleu, Tristan, Luo, Yu, Cho, Changhyun, Lemos, Pablo, Perreault-Levasseur, Laurence, Bengio, Yoshua, Kang, Xi, Maccio, Andrea Valerio, Hezaveh, Yashar
Correlations between galaxies and their supermassive black holes (SMBHs) have been observed, but the causal mechanisms remained unclear. The emerging field of causal inference now enables examining these relationships using observational data. This s
Externí odkaz:
http://arxiv.org/abs/2410.00965
Autor:
Rhea, Carter, Hlavacek-Larrondo, Julie, Adam, Alexandre, Kraft, Ralph, Bogdan, Akos, Perreault-Levasseur, Laurence, Prunier, Marine
Recent advances in machine learning algorithms have unlocked new insights in observational astronomy by allowing astronomers to probe new frontiers. In this article, we present a methodology to disentangle the intrinsic X-ray spectrum of galaxy clust
Externí odkaz:
http://arxiv.org/abs/2409.10711
Autor:
Bourdin, Antoine, Legin, Ronan, Ho, Matthew, Adam, Alexandre, Hezaveh, Yashar, Perreault-Levasseur, Laurence
Cosmological hydrodynamical simulations, while the current state-of-the art methodology for generating theoretical predictions for the large scale structures of the Universe, are among the most expensive simulation tools, requiring upwards of 100 mil
Externí odkaz:
http://arxiv.org/abs/2408.00839
Autor:
Barco, Gabriel Missael, Adam, Alexandre, Stone, Connor, Hezaveh, Yashar, Perreault-Levasseur, Laurence
Bayesian inference for inverse problems hinges critically on the choice of priors. In the absence of specific prior information, population-level distributions can serve as effective priors for parameters of interest. With the advent of machine learn
Externí odkaz:
http://arxiv.org/abs/2407.17667
Autor:
Marconi, A., Abreu, M., Adibekyan, V., Alberti, V., Albrecht, S., Alcaniz, J., Aliverti, M., Prieto, C. Allende, Gómez, J. D. Alvarado, Alves, C. S., Amado, P. J., Amate, M., Andersen, M. I., Antoniucci, S., Artigau, E., Bailet, C., Baker, C., Baldini, V., Balestra, A., Barnes, S. A., Baron, F., Barros, S. C. C., Bauer, S. M., Beaulieu, M., Bellido-Tirado, O., Benneke, B., Bensby, T., Bergin, E. A., Berio, P., Biazzo, K., Bigot, L., Bik, A., Birkby, J. L., Blind, N., Boebion, O., Boisse, I., Bolmont, E., Bolton, J. S., Bonaglia, M., Bonfils, X., Bonhomme, L., Borsa, F., Bouret, J. -C., Brandeker, A., Brandner, W., Broeg, C. H., Brogi, M., Brousseau, D., Brucalassi, A., Brynnel, J., Buchhave, L. A., Buscher, D. F., Cabona, L., Cabral, A., Calderone, G., Calvo-Ortega, R., Cantalloube, F., Martins, B. L. Canto, Carbonaro, L., Caujolle, Y., Chauvin, G., Chazelas, B., Cheffot, A. -L., Cheng, Y. S., Chiavassa, A., Christensen, L., Cirami, R., Cirasuolo, M., Cook, N. J., Cooke, R. J., Coretti, I., Covino, S., Cowan, N., Cresci, G., Cristiani, S., Parro, V. Cunha, Cupani, G., D'Odorico, V., Dadi, K., Leão, I. de Castro, De Cia, A., De Medeiros, J. R., Debras, F., Debus, M., Delorme, A., Demangeon, O., Derie, F., Dessauges-Zavadsky, M., Di Marcantonio, P., Di Stefano, S., Dionies, F., de Souza, A. Domiciano, Doyon, R., Dunn, J., Egner, S., Ehrenreich, D., Faria, J. P., Ferruzzi, D., Feruglio, C., Fisher, M., Fontana, A., Frank, B. S., Fuesslein, C., Fumagalli, M., Fusco, T., Fynbo, J., Gabella, O., Gaessler, W., Gallo, E., Gao, X., Genolet, L., Genoni, M., Giacobbe, P., Giro, E., Goncalves, R. S., Gonzalez, O. A., Hernández, J. I. González, Gouvret, C., Temich, F. Gracia, Haehnelt, M. G., Haniff, C., Hatzes, A., Helled, R., Hoeijmakers, H. J., Hughes, I., Huke, P., Ivanisenko, Y., Järvinen, A. S., Järvinen, S. P., Kaminski, A., Kern, J., Knoche, J., Kordt, A., Korhonen, H., Korn, A. J., Kouach, D., Kowzan, G., Kreidberg, L., Landoni, M., Lanotte, A. A., Lavail, A., Lavie, B., Lee, D., Lehmitz, M., Li, J., Li, W., Liske, J., Lovis, C., Lucatello, S., Lunney, D., MacIntosh, M. J., Madhusudhan, N., Magrini, L., Maiolino, R., Maldonado, J., Malo, L., Man, A. W. S., Marquart, T., Marques, C. M. J., Marques, E. L., Martinez, P., Martins, A., Martins, C. J. A. P., Martins, J. H. C., Maslowski, P., Mason, C. A., Mason, E., McCracken, R. A., Sousa, M. A. F. Melo e, Mergo, P., Micela, G., Milaković, D., Molliere, P., Monteiro, M. A., Montgomery, D., Mordasini, C., Morin, J., Mucciarelli, A., Murphy, M. T., N'Diaye, M., Nardetto, N., Neichel, B., Neri, N., Niedzielski, A. T., Niemczura, E., Nisini, B., Nortmann, L., Noterdaeme, P., Nunes, N. J., Oggioni, L., Olchewsky, F., Oliva, E., Onel, H., Origlia, L., Ostlin, G., Ouellette, N. N. -Q., Palle, E., Papaderos, P., Pariani, G., Pasquini, L., Castro, J. Peñate, Pepe, F., Peroux, C., Levasseur, L. Perreault, Perruchot, S., Petit, P., Pfuhl, O., Pino, L., Piqueras, J., Piskunov, N., Pollo, A., Poppenhaeger, K., Porru, M., Puschnig, J., Quirrenbach, A., Rauscher, E., Rebolo, R., Redaelli, E. M. A., Reffert, S., Reid, D. T., Reiners, A., Richter, P., Riva, M., Rivoire, S., Rodriguez-López, C., Roederer, I. U., Romano, D., Roth, M., Rousseau, S., Rowe, J., Saccardi, A., Salvadori, S., Sanna, N., Santos, N. C., Diaz, P. Santos, Sanz-Forcada, J., Sarajlic, M., Sauvage, J. -F., Savio, D., Scaudo, A, Schäfer, S., Schiavon, R. P., Schmidt, T. M., Selmi, C., Simoes, R., Simonnin, A., Sivanandam, S., Sordet, M., Sordo, R., Sortino, F., Sosnowska, D., Sousa, S. G., Spang, A., Spiga, R., Stempels, E., Stevenson, J. R. Y., Strassmeier, K. G., Mascareño, A. Suárez, Sulich, A., Sun, X., Tanvir, N. R., Tenegi-Sangines, F., Thibault, S., Thompson, S. J., Tisserand, P., Tozzi, A., Turbet, M., Veran, J. -P., Vallee, P., Vanni, I., Varas, R., Vega-Moreno, A., Venn, K. A., Verma, A., Vernet, J., Viel, M., Wade, G., Waring, C., Weber, M., Weder, J., Wehbe, B., Weingrill, J., Woche, M., Xompero, M., Zackrisson, E., Zanutta, A., Osorio, M. R. Zapatero, Zechmeister, M., Zimara, J.
The first generation of ELT instruments includes an optical-infrared high-resolution spectrograph, indicated as ELT-HIRES and recently christened ANDES (ArmazoNes high Dispersion Echelle Spectrograph). ANDES consists of three fibre-fed spectrographs
Externí odkaz:
http://arxiv.org/abs/2407.14601
Autor:
Stone, Connor, Adam, Alexandre, Coogan, Adam, Yantovski-Barth, M. J., Filipp, Andreas, Setiawan, Landung, Core, Cordero, Legin, Ronan, Wilson, Charles, Barco, Gabriel Missael, Hezaveh, Yashar, Perreault-Levasseur, Laurence
Gravitational lensing is the deflection of light rays due to the gravity of intervening masses. This phenomenon is observed in a variety of scales and configurations, involving any non-uniform mass such as planets, stars, galaxies, clusters of galaxi
Externí odkaz:
http://arxiv.org/abs/2406.15542
Autor:
Bischetti, Manuela, Choi, Hyunseop, Fiore, Fabrizio, Feruglio, Chiara, Carniani, Stefano, D'Odorico, Valentina, Bañados, Eduardo, Chen, Huanqing, Decarli, Roberto, Gallerani, Simona, Hlavacek-Larrondo, Julie, Lai, Samuel, Leighly, Karen M., Mazzucchelli, Chiara, Perreault-Levasseur, Laurence, Tripodi, Roberta, Walter, Fabian, Wang, Feige, Yang, Jinyi, Zanchettin, Maria Vittoria, Zhu, Yongda
Although the mass growth of supermassive black holes during the Epoch of Reionisation is expected to play a role in shaping the concurrent growth of their host-galaxies, observational evidence of feedback at z$\gtrsim$6 is still sparse. We perform th
Externí odkaz:
http://arxiv.org/abs/2404.12443
Autor:
Lemos, Pablo, Sharief, Sammy, Malkin, Nikolay, Perreault-Levasseur, Laurence, Hezaveh, Yashar
We propose a comprehensive sample-based method for assessing the quality of generative models. The proposed approach enables the estimation of the probability that two sets of samples are drawn from the same distribution, providing a statistically ri
Externí odkaz:
http://arxiv.org/abs/2402.04355
Autor:
Lemos, Pablo, Malkin, Nikolay, Handley, Will, Bengio, Yoshua, Hezaveh, Yashar, Perreault-Levasseur, Laurence
We present a performant, general-purpose gradient-guided nested sampling algorithm, ${\tt GGNS}$, combining the state of the art in differentiable programming, Hamiltonian slice sampling, clustering, mode separation, dynamic nested sampling, and para
Externí odkaz:
http://arxiv.org/abs/2312.03911
Autor:
Milli, Julien, Choquet, Elodie, Tazaki, Ryo, Ménard, François, Augereau, Jean-Charles, Olofsson, Johan, Thébault, Philippe, Poch, Olivier, Levasseur-Regourd, Anny-Chantal, Lasue, Jérémie, Renard, Jean-Baptiste, Hadamcik, Edith, Baruteau, Clément, Schmid, Hans Martin, Engler, Natalia, van Holstein, Rob G., Zubko, Evgenij, Lagrange, Anne-Marie, Marino, Sebastian, Pinte, Chirstophe, Dominik, Carsten, Boccaletti, Anthony, Langlois, Maud, Zurlo, Alice, Desgrange, Célia, Gluck, Laurence, Mouillet, David, Costille, Anne, Sauvage, Jean-François
Polarisation is a powerful remote-sensing tool to study the nature of particles scattering the starlight. It is widely used to characterise interplanetary dust particles in the Solar System and increasingly employed to investigate extrasolar dust in
Externí odkaz:
http://arxiv.org/abs/2312.02000