Zobrazeno 1 - 10
of 18 422
pro vyhledávání: '"Cote P"'
Autor:
Liu, Tiange, Surjanovic, Nikola, Biron-Lattes, Miguel, Bouchard-Côté, Alexandre, Campbell, Trevor
Many common Markov chain Monte Carlo (MCMC) kernels can be formulated using a deterministic involutive proposal with a step size parameter. Selecting an appropriate step size is often a challenging task in practice; and for complex multiscale targets
Externí odkaz:
http://arxiv.org/abs/2410.18929
We study the sensitivity of presupernova evolution and supernova nucleosynthesis yields of massive stars to variations of the initial composition. We use the solar abundances from Lodders (2009), and compute two different initial stellar compositions
Externí odkaz:
http://arxiv.org/abs/2410.16594
Autor:
Brauer, Kaley, Emerick, Andrew, Mead, Jennifer, Ji, Alexander P., Wise, John H., Bryan, Greg L., Mac Low, Mordecai-Mark, Cote, Benoit, Andersson, Eric P., Frebel, Anna
The AEOS project introduces a series of high-resolution cosmological simulations that model star-by-star chemical enrichment and galaxy formation in the early Universe, achieving 1 pc resolution. These simulations capture the complexities of galaxy e
Externí odkaz:
http://arxiv.org/abs/2410.16366
Autor:
Luu, Son, Xu, Zuheng, Surjanovic, Nikola, Biron-Lattes, Miguel, Campbell, Trevor, Bouchard-Côté, Alexandre
The Hamiltonian Monte Carlo (HMC) algorithm is often lauded for its ability to effectively sample from high-dimensional distributions. In this paper we challenge the presumed domination of HMC for the Bayesian analysis of GLMs. By utilizing the struc
Externí odkaz:
http://arxiv.org/abs/2410.03630
Autor:
Gingras, Luc, Espinosa, Yunuen Cervantes, Beaulieu, Frederic, Besnier, Magali, Coté, Benjamin, Lambert-Girard, Simon, Leblanc, Danahé, Lechasseur, Yoan, Therriault-Proulx, François, Beaulieu, Luc, Archambault, Louis
As small radiation fields play an ever-increasing role in radiation therapy, accurate dosimetry of these fields becomes critical to ensure high quality dose calculation and treatment optimization. The PRB-0002, a new plastic scintillation detector (P
Externí odkaz:
http://arxiv.org/abs/2410.00999
Autor:
George, Koshy, Poggianti, B. M., Omizzolo, A., Vulcani, B., Côté, P., Postma, J., Smith, R., Jaffe, Y. L., Gullieuszik, M., Moretti, A., Subramaniam, A., Sreekumar, P., Ghosh, S. K., Tandon, S. N., Hutchings, J. B.
The assembly of galaxy clusters is understood to be a hierarchical process with a continuous accretion of galaxies over time, which increases the cluster size and mass. Late-type galaxies that fall into clusters can undergo ram-pressure stripping, fo
Externí odkaz:
http://arxiv.org/abs/2409.10586
Autor:
Siyu, Lin, Zhou, Haowen, Cote, Richard J., Watson, Mark, Govindan, Ramaswamy, Yang, Changhuei
In recent years, deep neural networks (DNNs) have demonstrated remarkable performance in pathology applications, potentially even outperforming expert pathologists due to their ability to learn subtle features from large datasets. One complication in
Externí odkaz:
http://arxiv.org/abs/2409.08338
Autor:
Morgan, C. R., Balogh, M. L., Boselli, A., Fossati, M., Lawlor-Forsyth, C., Sazonova, E., Amram, P., Boquien, M., Braine, J., Cortese, L., Côté, P., Cuillandre, J. C., Ferrarese, L., Gwyn, S., Hensler, G., Junais, Roediger, J.
We examine the prevalence of truncated star-forming disks in the Virgo cluster down to $M_* \simeq 10^7 ~\text{M}_{\odot}$. This work makes use of deep, high-resolution imaging in the H$\alpha$+[NII] narrow-band from the Virgo Environmental Survey Tr
Externí odkaz:
http://arxiv.org/abs/2409.08339
Autor:
Casali, L., Eldon, D., Odstrcil, T., Mattes, R., Welsh, A., Lee, K., Nelson, A. O., Paz-Soldan, C., Khabanov, F., Cote, T., McLean, A. G., Scotti, F., Thome, K. E.
The first achievement of highly radiating plasmas in negative triangularity is shown with an operational space featuring high core radiation at high Greenwald fraction obtained with the injection of reactor-relevant seeded gases. These negative trian
Externí odkaz:
http://arxiv.org/abs/2409.02377
Autor:
Meneghini, O., Slendebroek, T., Lyons, B. C., McLaughlin, K., McClenaghan, J., Stagner, L., Harvey, J., Neiser, T. F., Ghiozzi, A., Dose, G., Guterl, J., Zalzali, A., Cote, T., Shi, N., Weisberg, D., Smith, S. P., Grierson, B. A., Candy, J.
The Fusion Synthesis Engine (FUSE) is a state-of-the-art software suite designed to revolutionize fusion power plant design. FUSE integrates first-principle models, machine learning, and reduced models into a unified framework, enabling comprehensive
Externí odkaz:
http://arxiv.org/abs/2409.05894