Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jeremy Kubica"'
Autor:
Kaylee M. de Soto, V. Ashley Villar, Edo Berger, Sebastian Gomez, Griffin Hosseinzadeh, Doug Branton, Sandro Campos, Melissa DeLucchi, Jeremy Kubica, Olivia Lynn, Konstantin Malanchev, Alex I. Malz
Publikováno v:
The Astrophysical Journal, Vol 974, Iss 2, p 169 (2024)
Photometric classifications of supernova (SN) light curves have become necessary to utilize the full potential of large samples of observations obtained from wide-field photometric surveys, such as the Zwicky Transient Facility (ZTF) and the Vera C.
Externí odkaz:
https://doaj.org/article/3f1a37df7a0f4e81893e7daf55d93b4b
Autor:
Jeremy Kubica
Enter the wonderful world of graph algorithms, where you'll learn when and how to apply these highly useful data structures to solve a wide range of fascinating (and fantastical) computational problems.Graph Algorithms the Fun Way offers a refreshing
Autor:
Brian Nord, Andrew Connolly, Jamie Kinney, Jeremy Kubica, Gautaum Narayan, Joshua Peek, Chad Schafer, Erik Tollerud, Camille Avestruz, G. Babu, Simon Birrer, Douglas Burke, Joao Caldeira, Douglas Caldwell, Joleen Carlberg, Yen-Chi Chen, Chuanfei Dong, Eric Feigelson, V. Golkhou, Vinay Kashyap, T. Li, Thomas Loredo, Luisa Lucie-Smith, Kaisey Mandel, J. Martinez-Galarza, Adam Miller, Priyamvada Natarajan, Michelle Ntampaka, Andy Ptak, David Rapetti, Lior Shamir, Aneta Siemiginowska, Brigitta Sipocz, Arfon Smith, Nhan Tran, Ricardo Vilalta, Lucianne Walkowicz, John ZuHone
This white paper offers guidance and ideas for how we can evolve our technical and collaborative frameworks to promote efficient algorithmic development and take advantage of opportunities for scientific discovery in the petabyte era.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a9a9e1243d68e817283b2991d37284d
https://doi.org/10.2172/1592147
https://doi.org/10.2172/1592147
Autor:
Jeremy Kubica
Learn how and when to use the right data structures in any situation, strengthening your computational thinking, problem-solving, and programming skills in the process.This accessible and entertaining book provides an in-depth introduction to computa
Autor:
Jeremy Kubica
Oto Franek Runtime – skompromitowany eks-komisarz, bezduszny detektyw, ekspert poszukiwań. Gdy komenda główna policji zostaje obrabowana, to Franek Runtime i jego niezwykłe umiejętności pozwolą schwytać winnych. W tym opowiadaniu kryminalny
Autor:
Jeremy Kubica
Meet Frank Runtime. Disgraced ex-detective. Hard-boiled private eye. Search expert.When a robbery hits police headquarters, it's up to Frank Runtime and his extensive search skills to catch the culprits. In this detective story, you'll learn how to u
Autor:
W. H. Sweeney, R. Holmes, David J. Tholen, T. H. Bressi, Larry Denneau, Henry H. Hsieh, Steve Chesley, Eugene A. Magnier, William Ryan, John L. Tonry, Andrea Milani, Paul A. Price, J. S. Morgan, Christopher Waters, Gareth V. Williams, James D. Armstrong, Francesco Pierfederici, Peter Vereš, William S. Burgett, Jan Kleyna, Matthew J. Holman, Jeremy Kubica, Jonathan Myers, Alan Fitzsimmons, S. Chastel, Mikael Granvik, T. Spahr, Robert S. McMillan, T. Grav, J. V. Scotti, Davide Farnocchia, Bryce Bolin, Richard J. Wainscoat, J. N. Heasley, K. C. Chambers, Tim Lister, Shinsuke Abe, Daniel Chang, D. Green, Marco Micheli, Klaus W. Hodapp, Eileen V. Ryan, Nick Kaiser, Robert Jedicke
Publikováno v:
Publications of the Astronomical Society of the Pacific. 125:357-395
We describe the Pan-STARRS Moving Object Processing System (MOPS), a modern software package that produces automatic asteroid discoveries and identifications from catalogs of transient detections from next-generation astronomical survey telescopes. M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5ff6808a9158df068ea690743e66a87
https://doi.org/10.1086/670337
https://doi.org/10.1086/670337
Autor:
Larry Denneau, David J. Tholen, Andrew W. Moore, Joseph Masiero, Andrea Milani, Richard J. Wainscoat, Robert Jedicke, T. Grav, Jeremy Kubica, J. N. Heasley
Publikováno v:
Icarus. 189:151-168
The Panoramic Survey Telescope And Rapid Response System (Pan-STARRS) under development at the University of Hawaii's Institute for Astronomy is creating the first fully automated end-to-end Moving Object Processing System (MOPS) in the world. It wil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28f5cc8ad7899753d415c173a8cea331
https://doi.org/10.1016/j.icarus.2007.01.008
https://doi.org/10.1016/j.icarus.2007.01.008
Publikováno v:
Proceedings of the 2009 SIAM International Conference on Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::264e475196b69c7d13300e89f02a454d
https://doi.org/10.1137/1.9781611972795.100
https://doi.org/10.1137/1.9781611972795.100
Autor:
Larry Denneau, Jeremy Kubica, T. Grav, Bongki Moon, Kobus Barnard, Praveen Rao, Alon Efrat, Andrew J. Connolly, S. Morris, Robert Jedicke, J. N. Heasley
Publikováno v:
SPIE Proceedings.
We describe a proposed architecture for the Large Synoptic Survey Telescope (LSST) moving object processing pipelinebased on a similar system under development for the Pan-STARRS project. This pipeline is responsible for identifyingand discoveringfas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0d24e105f25dbf76f6ab54154aea5df
https://doi.org/10.1117/12.671750
https://doi.org/10.1117/12.671750