Zobrazeno 1 - 10
of 12 901
pro vyhledávání: '"Benjamín, M."'
Autor:
Boyd, Benjamin M., Narayan, Gautham, Mandel, Kaisey S., Grayling, Matthew, Berres, Aidan, Li, Mai, Do, Aaron, Saha, Abhijit, Axelrod, Tim, Matheson, Thomas, Olszewski, Edward W., Bohlin, Ralph C., Calamida, Annalisa, Holberg, Jay B., Hubeny, Ivan, Mackenty, John W., Rest, Armin, Sabbi, Elena, Stubbs, Christopher W.
We use hierarchical Bayesian modelling to calibrate a network of 32 all-sky faint DA white dwarf (DA WD) spectrophotometric standards ($16.5 < V < 19.5$) alongside the three CALSPEC standards, from 912 \r{A} to 32 $\mu$m. The framework is the first o
Externí odkaz:
http://arxiv.org/abs/2412.08809
Autor:
The Multimodal Universe Collaboration, Audenaert, Jeroen, Bowles, Micah, Boyd, Benjamin M., Chemaly, David, Cherinka, Brian, Ciucă, Ioana, Cranmer, Miles, Do, Aaron, Grayling, Matthew, Hayes, Erin E., Hehir, Tom, Ho, Shirley, Huertas-Company, Marc, Iyer, Kartheik G., Jablonska, Maja, Lanusse, Francois, Leung, Henry W., Mandel, Kaisey, Martínez-Galarza, Juan Rafael, Melchior, Peter, Meyer, Lucas, Parker, Liam H., Qu, Helen, Shen, Jeff, Smith, Michael J., Stone, Connor, Walmsley, Mike, Wu, John F.
We present the MULTIMODAL UNIVERSE, a large-scale multimodal dataset of scientific astronomical data, compiled specifically to facilitate machine learning research. Overall, the MULTIMODAL UNIVERSE contains hundreds of millions of astronomical observ
Externí odkaz:
http://arxiv.org/abs/2412.02527
In settings where the application of reinforcement learning (RL) requires running real-world trials, including the optimization of adaptive health interventions, the number of episodes available for learning can be severely limited due to cost or tim
Externí odkaz:
http://arxiv.org/abs/2412.00308
Autor:
Barber, Madyson G., Mann, Andrew W., Vanderburg, Andrew, Krolikowski, Daniel, Kraus, Adam, Ansdell, Megan, Pearce, Logan, Mace, Gregory N., Andrews, Sean M., Boyle, Andrew W., Collins, Karen A., De Furio, Matthew, Dragomir, Diana, Espaillat, Catherine, Feinstein, Adina D., Fields, Matthew, Jaffe, Daniel, Murillo, Ana Isabel Lopez, Murgas, Felipe, Newton, Elisabeth R., Palle, Enric, Sawczynec, Erica, Schwarz, Richard P., Thao, Pa Chia, Tofflemire, Benjamin M., Watkins, Cristilyn N., Jenkins, Jon M., Latham, David W., Ricker, George, Seager, Sara, Vanderspek, Roland, Winn, Joshua N., Charbonneau, David, Essack, Zahra, Rodriguez, David R., Shporer, Avi, Twicken, Joseph D., Villaseñor, Jesus Noel
Publikováno v:
Nature 635, 574-577 (2024)
Astronomers have found more than a dozen planets transiting 10-40 million year old stars, but even younger transiting planets have remained elusive. A possible reason for the lack of such discoveries is that newly formed planets are not yet in a conf
Externí odkaz:
http://arxiv.org/abs/2411.18683
Autor:
Peter, Benjamin M., Korkali, Mert
Reinforcement learning (RL) agents are powerful tools for managing power grids. They use large amounts of data to inform their actions and receive rewards or penalties as feedback to learn favorable responses for the system. Once trained, these agent
Externí odkaz:
http://arxiv.org/abs/2411.11180
This manuscript presents the Quantum Finite Element Method (Q-FEM) developed for use in noisy intermediate-scale quantum (NISQ) computers, and employs the variational quantum linear solver (VQLS) algorithm. The proposed method leverages the classical
Externí odkaz:
http://arxiv.org/abs/2411.09038
Autor:
Kutra, Taylor, Prato, Lisa, Tofflemire, Benjamin M, Akeson, Rachel, Schaefer, G. H., Tang, Shih-Yun, Segura-Cox, Dominique, Johns-Krull, Christopher M., Kraus, Adam, Andrews, Sean, Jensen, Eric L. N.
This article presents the latest results of our ALMA program to study circumstellar disk characteristics as a function of orbital and stellar properties in a sample of young binary star systems known to host at least one disk. Optical and infrared ob
Externí odkaz:
http://arxiv.org/abs/2411.05203
Multivariate random effects with unstructured variance-covariance matrices of large dimensions, $q$, can be a major challenge to estimate. In this paper, we introduce a new implementation of a reduced-rank approach to fit large dimensional multivaria
Externí odkaz:
http://arxiv.org/abs/2411.04411
Autor:
Karine, Karine, Marlin, Benjamin M.
The use of reinforcement learning (RL) to learn policies for just-in-time adaptive interventions (JITAIs) is of significant interest in many behavioral intervention domains including improving levels of physical activity. In a messaging-based physica
Externí odkaz:
http://arxiv.org/abs/2411.00336
Autor:
Barnes, Edwin, Bennett, Michael B., Boltasseva, Alexandra, Borish, Victoria, Brown, Bennett, Carr, Lincoln D., Ceballos, Russell R., Dukes, Faith, Easton, Emily W., Economou, Sophia E., Edwards, E. E., Finkelstein, Noah D., Fracchiolla, C., Franklin, Diana, Freericks, J. K., Goss, Valerie, Hannum, Mark, Holincheck, Nancy, Kelly, Angela M., Lanes, Olivia, Lewandowski, H. J., Matsler, Karen Jo, Mercurio, Emily, Montaño, Inès, Murdock, Maajida, Peltz, Kiera, Perron, Justin K., Richardson, Christopher J. K., Rosenberg, Jessica L., Ross, Richard S., Ryu, Minjung, Samuel, Raymond E., Schrode, Nicole, Schwamberger, Susan, Searles, Thomas A., Singh, Chandralekha, Tingle, Alexandra, Zwickl, Benjamin M.
In response to numerous programs seeking to advance quantum education and workforce development in the United States, experts from academia, industry, government, and professional societies convened for a National Science Foundation-sponsored worksho
Externí odkaz:
http://arxiv.org/abs/2410.23460