Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Kahn, Steven M."'
Autor:
Homar, Guillem Megias, Kahn, Steven M., Meyers, Joshua M., Crenshaw, John Franklin, Thomas, Sandrine J.
The Vera C. Rubin Observatory is a unique facility for survey astronomy that will soon be commissioned and begin operations. Crucial to many of its scientific goals is the achievement of sustained high image quality, limited only by the seeing at the
Externí odkaz:
http://arxiv.org/abs/2406.04656
The transient optical sky has remained largely unexplored on very short timescales. While there have been some experiments searching for optical transients from minutes to years, none have had the capability to distinguish millisecond Fast Optical Bu
Externí odkaz:
http://arxiv.org/abs/2303.02525
Autor:
Blum, Bob, Digel, Seth W., Drlica-Wagner, Alex, Habib, Salman, Heitmann, Katrin, Ishak, Mustapha, Jha, Saurabh W., Kahn, Steven M., Mandelbaum, Rachel, Marshall, Phil, Newman, Jeffrey A., Roodman, Aaron, Stubbs, Christopher W.
The Vera C. Rubin Observatory will begin the Legacy Survey of Space and Time (LSST) in 2024, spanning an area of 18,000 square degrees in six bands, with more than 800 observations of each field over ten years. The unprecedented data set will enable
Externí odkaz:
http://arxiv.org/abs/2203.07220
Autor:
LSST Dark Energy Science Collaboration, Abolfathi, Bela, Alonso, David, Armstrong, Robert, Aubourg, Éric, Awan, Humna, Babuji, Yadu N., Bauer, Franz Erik, Bean, Rachel, Beckett, George, Biswas, Rahul, Bogart, Joanne R., Boutigny, Dominique, Chard, Kyle, Chiang, James, Claver, Chuck F., Cohen-Tanugi, Johann, Combet, Céline, Connolly, Andrew J., Daniel, Scott F., Digel, Seth W., Drlica-Wagner, Alex, Dubois, Richard, Gangler, Emmanuel, Gawiser, Eric, Glanzman, Thomas, Gris, Phillipe, Habib, Salman, Hearin, Andrew P., Heitmann, Katrin, Hernandez, Fabio, Hložek, Renée, Hollowed, Joseph, Ishak, Mustapha, Ivezić, Željko, Jarvis, Mike, Jha, Saurabh W., Kahn, Steven M., Kalmbach, J. Bryce, Kelly, Heather M., Kovacs, Eve, Korytov, Danila, Krughoff, K. Simon, Lage, Craig S., Lanusse, François, Larsen, Patricia, Guillou, Laurent Le, Li, Nan, Longley, Emily Phillips, Lupton, Robert H., Mandelbaum, Rachel, Mao, Yao-Yuan, Marshall, Phil, Meyers, Joshua E., Moniez, Marc, Morrison, Christopher B., Nomerotski, Andrei, O'Connor, Paul, Park, HyeYun, Park, Ji Won, Peloton, Julien, Perrefort, Daniel, Perry, James, Plaszczynski, Stéphane, Pope, Adrian, Rasmussen, Andrew, Reil, Kevin, Roodman, Aaron J., Rykoff, Eli S., Sánchez, F. Javier, Schmidt, Samuel J., Scolnic, Daniel, Stubbs, Christopher W., Tyson, J. Anthony, Uram, Thomas D., Villarreal, Antonia, Walter, Christopher W., Wiesner, Matthew P., Wood-Vasey, W. Michael, Zuntz, Joe
We describe the simulated sky survey underlying the second data challenge (DC2) carried out in preparation for analysis of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) by the LSST Dark Energy Science Collaboration (LSST DESC).
Externí odkaz:
http://arxiv.org/abs/2010.05926
Autor:
Thomas, David, Kahn, Steven M., Bianco, Federica B., Ivezić, Željko, Raiteri, Claudia M., Possenti, Andrea, Peterson, John R., Burke, Colin J., Blum, Robert D., Jacoby, George H., Howell, Steve B., Madejski, Grzegorz
We present a unique method that allows the LSST to scan the sky for stellar variability on short timescales. The operational component of the strategy requires LSST to take star trail images. The image processing component uses deep learning to sift
Externí odkaz:
http://arxiv.org/abs/1812.02932
Autor:
The LSST Dark Energy Science Collaboration, Mandelbaum, Rachel, Eifler, Tim, Hložek, Renée, Collett, Thomas, Gawiser, Eric, Scolnic, Daniel, Alonso, David, Awan, Humna, Biswas, Rahul, Blazek, Jonathan, Burchat, Patricia, Chisari, Nora Elisa, Dell'Antonio, Ian, Digel, Seth, Frieman, Josh, Goldstein, Daniel A., Hook, Isobel, Ivezić, Željko, Kahn, Steven M., Kamath, Sowmya, Kirkby, David, Kitching, Thomas, Krause, Elisabeth, Leget, Pierre-François, Marshall, Philip J., Meyers, Joshua, Miyatake, Hironao, Newman, Jeffrey A., Nichol, Robert, Rykoff, Eli, Sanchez, F. Javier, Slosar, Anže, Sullivan, Mark, Troxel, M. A.
The Large Synoptic Survey Telescope (LSST) Dark Energy Science Collaboration (DESC) will use five cosmological probes: galaxy clusters, large scale structure, supernovae, strong lensing, and weak lensing. This Science Requirements Document (SRD) quan
Externí odkaz:
http://arxiv.org/abs/1809.01669
Autor:
Thomas, David, Kahn, Steven M
We present a method that enables wide field ground-based telescopes to scan the sky for sub-second stellar variability. The method has operational and image processing components. The operational component is to take star trail images. Each trail ser
Externí odkaz:
http://arxiv.org/abs/1808.06977
We discuss the synergy of Gaia and the Large Synoptic Survey Telescope (LSST) in the context of Milky Way studies. LSST can be thought of as Gaia's deep complement because the two surveys will deliver trigonometric parallax, proper-motion, and photom
Externí odkaz:
http://arxiv.org/abs/1502.06555
Autor:
Marshall, Heather K., Spyromilio, Jason, Usuda, Tomonori, Megias Homar, Guillem, Meyers, Joshua M., Thomas, Sandrine J., Kahn, Steven M., Connolly, Andrew J., Crenshaw, John Franklin, Kalmbach, J. Bryce, Suberlak, Krzysztof, Polen, Rebekah, Tsai, Tei-Wei, Ribeiro, Tiago, Tighe, Roberto, Rodeghiero, Gabriele, Canestrari, Rodolfo, Giro, Enrico, Niell, Douglas, Kubánek, Petr, Rosignoli, Luca, Rivera, Mario, Sebag, Jacques, Mills, Dave, Zorzi, Pablo, López, Juan, Jimenez, David, Ordenes, Ian, Fabrega, Juan
Publikováno v:
Proceedings of SPIE; August 2024, Vol. 13094 Issue: 1 p130943N-130943N-12, 12963370p
Autor:
Marshall, Heather K., Spyromilio, Jason, Usuda, Tomonori, Megias Homar, Guillem, Tighe, Roberto, Thomas, Sandrine, Sandwith, Scott, Sebag, Jacques, Stalder, Brian, Rivera, Mario, Ribeiro, Tiago, Palmateer, John, Meyers, Joshua E., Mills, Dave, Kahn, Steven M., Muñoz, Freddy, López, Juan, Araya, Claudio, Aguilar, Christian
Publikováno v:
Proceedings of SPIE; August 2024, Vol. 13094 Issue: 1 p130943C-130943C-11, 12963369p