Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mackey, Dan"'
We present nifty-ls, a software package for fast and accurate evaluation of the Lomb-Scargle periodogram. nifty-ls leverages the fact that Lomb-Scargle can be computed using a non-uniform FFT (NUFFT), which we evaluate with the Flatiron Institute NUF
Externí odkaz:
http://arxiv.org/abs/2409.08090
Autor:
Cabezas, Alberto, Corenflos, Adrien, Lao, Junpeng, Louf, Rémi, Carnec, Antoine, Chaudhari, Kaustubh, Cohn-Gordon, Reuben, Coullon, Jeremie, Deng, Wei, Duffield, Sam, Durán-Martín, Gerardo, Elantkowski, Marcin, Foreman-Mackey, Dan, Gregori, Michele, Iguaran, Carlos, Kumar, Ravin, Lysy, Martin, Murphy, Kevin, Orduz, Juan Camilo, Patel, Karm, Wang, Xi, Zinkov, Rob
BlackJAX is a library implementing sampling and variational inference algorithms commonly used in Bayesian computation. It is designed for ease of use, speed, and modularity by taking a functional approach to the algorithms' implementation. BlackJAX
Externí odkaz:
http://arxiv.org/abs/2402.10797
Autor:
Blanton, Michael R., Evans, Janet D., Norman, Dara, O'Mullane, William, Price-Whelan, Adrian, Rizzi, Luca, Accomazzi, Alberto, Ansdell, Megan, Bailey, Stephen, Barrett, Paul, Berukoff, Steven, Bolton, Adam, Borrill, Julian, Cruz, Kelle, Dalcanton, Julianne, Desai, Vandana, Dubois-Felsmann, Gregory P., Economou, Frossie, Ferguson, Henry, Field, Bryan, Foreman-Mackey, Dan, Forero-Romero, Jaime, Gaffney, Niall, Gillies, Kim, Graham, Matthew J., Gwyn, Steven, Hennawi, Joseph, Hughes, Anna L. H., Jaffe, Tess, Jagannathan, Preshanth, Jenness, Tim, Jurić, Mario, Kavelaars, JJ, Kee, Kerk, Kern, Jeff, Kremin, Anthony, Labrie, Kathleen, Lacy, Mark, Law, Casey, Martínez-Galarza, Rafael, McCully, Curtis, McEnery, Julie, Miller, Bryan, Moriarty, Christopher, Muench, August, Muna, Demitri, Murillo, Angela, Narayan, Gautham, Neill, James D., Nikutta, Robert, Ojha, Roopesh, Olsen, Knut, O'Meara, John, Rusholme, Ben, Seaman, Robert, Starkman, Nathaniel, Still, Martin, Stoehr, Felix, Swinbank, John D., Teuben, Peter, Toledo, Ignacio, Tollerud, Erik, Turk, Matthew D., Turner, James, Vacca, William, Vieira, Joaquin, Weaver, Benjamin, Weiner, Benjamin, Weiss, Jason, Westfall, Kyle, Willman, Beth, Zhao, Lily
The astronomical community is grappling with the increasing volume and complexity of data produced by modern telescopes, due to difficulties in reducing, accessing, analyzing, and combining archives of data. To address this challenge, we propose the
Externí odkaz:
http://arxiv.org/abs/2311.04272
Dust attenuation varies substantially from galaxy to galaxy and as of yet cannot be reproduced from first principles in theoretical models. In Nagaraj et al. (2022), we developed the first Bayesian population model of dust attenuation as a function o
Externí odkaz:
http://arxiv.org/abs/2204.06449
Astronomical observations are affected by several kinds of noise, each with its own causal source; there is photon noise, stochastic source variability, and residuals coming from imperfect calibration of the detector or telescope. The precision of NA
Externí odkaz:
http://arxiv.org/abs/1508.01853
Autor:
Montet, Benjamin T., Angus, Ruth, Barclay, Tom, Dawson, Rebekah, Fergus, Rob, Foreman-Mackey, Dan, Harmeling, Stefan, Hirsch, Michael, Hogg, David W., Lang, Dustin, Schiminovich, David, Scholkopf, Bernhard
In today's mailing, Hogg et al. propose image modeling techniques to maintain 10-ppm-level precision photometry in Kepler data with only two working reaction wheels. While these results are relevant to many scientific goals for the repurposed mission
Externí odkaz:
http://arxiv.org/abs/1309.0654
Autor:
Hogg, David W., Angus, Ruth, Barclay, Tom, Dawson, Rebekah, Fergus, Rob, Foreman-Mackey, Dan, Harmeling, Stefan, Hirsch, Michael, Lang, Dustin, Montet, Benjamin T., Schiminovich, David, Schölkopf, Bernhard
Kepler's immense photometric precision to date was maintained through satellite stability and precise pointing. In this white paper, we argue that image modeling--fitting the Kepler-downlinked raw pixel data--can vastly improve the precision of Keple
Externí odkaz:
http://arxiv.org/abs/1309.0653
Autor:
Robitaille, Thomas, Cruz, Kelle, Greenfield, Perry, Jeschke, Eric, Juric, Mario, Mumford, Stuart, Prescod-Weinstein, Chanda, Sosey, Megan, Tollerud, Erik, VanderPlas, Jake, Ford, Jes, Foreman-Mackey, Dan, Jenness, Tim, Aldcroft, Tom, Alexandersen, Mike, Bannister, Michele, Barbary, Kyle, Barentsen, Geert, Bennett, Samuel, Boquien, Médéric, Campos Rozo, Jose Ivan, Christe, Steven, Corrales, Lia, Craig, Matthew, Deil, Christoph, Dencheva, Nadia, Donath, Axel, Douglas, Stephanie, Ferreira, Leonardo, Ginsburg, Adam, Goldbaum, Nathan, Gordon, Karl, Hearin, Andrew, Hummels, Cameron, Huppenkothen, Daniela, Jennings, Elise, King, Johannes, Lawler, Samantha, Leonard, Andrew, Lim, Pey Lian, McBride, Lisa, Morris, Brett, Nunez, Carolina, Owen, Russell, Parejko, John, Patel, Ekta, Price-Whelan, Adrian, Ruggiero, Rafael, Sipocz, Brigitta, Stevens, Abigail, Turner, James, Tuttle, Sarah, Yanchulova Merica-Jones, Petia, Yoachim, Peter
This document provides proceedings for unconference sessions as well as hacks/sprints which took place at the Python in Astronomy 2016workshop, which was heldat the University of Washington eScience Institute in Seattle fromMarch 21st to 25th 2016.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4558453ad00c02976f7bcfdf13faee76
Akademický článek
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Publikováno v:
International Journal of Dermatology; Jan/Feb1982, Vol. 21 Issue 1, p32-35, 4p
