Zobrazeno 1 - 10
of 6 304
pro vyhledávání: '"Dahlén A"'
NEO Surveyor will detect asteroids and comets using mid-infrared thermal emission, however ground-based followup resources will require knowledge of the expected visible light brightness in order to plan characterization observations. Here we describ
Externí odkaz:
http://arxiv.org/abs/2409.05753
Vulnerability Detection (VD) using machine learning faces a significant challenge: the vast diversity of vulnerability types. Each Common Weakness Enumeration (CWE) represents a unique category of vulnerabilities with distinct characteristics, code s
Externí odkaz:
http://arxiv.org/abs/2408.02329
Asteroids with low orbital perihelion distances experience extreme heating from the Sun that can modify their surfaces and trigger non-typical activity mechanisms. These objects are generally difficult to observe from ground-based telescopes due to t
Externí odkaz:
http://arxiv.org/abs/2404.15195
Autor:
Grav, Tommy, Mainzer, Amy K., Masiero, Joseph R., Dahlen, Dar W., Spahr, Tim, Bottke, William F., Masci, Frank J.
The known near-Earth object (NEO) population consists of over 32,000 objects, with a yearly discovery rate of over 3000 NEOs per year. An essential component of the next generation of NEO surveys is an understanding of the population of known objects
Externí odkaz:
http://arxiv.org/abs/2310.20149
Autor:
Mainzer, A. K., Masiero, Joseph R., Abell, Paul A., Bauer, J. M., Bottke, William, Buratti, Bonnie J., Carey, Sean J., Cotto-Figueroa, D., Cutri, R. M., Dahlen, D., Eisenhardt, Peter R. M., Fernandez, 6 Y. R., Furfaro, Roberto, Grav, Tommy, Hoffman, T. L., Kelley, Michael S., Kim, Yoonyoung, Kirkpatrick, J. Davy, Lawler, Christopher R., Lilly, Eva, Liu, X., Marocco, Federico, Marsh, K. A., Masci, Frank J., McMurtry, Craig W., Pourrahmani, Milad, Reinhart, Lennon, Ressler, Michael E., Satpathy, Akash, Schambeau, C. A., Sonnett, S., Spahr, Timothy B., Surace, Jason A., Vaquero, Mar, Wright, E. L., Zengilowski, Gregory R., Team, NEO Surveyor Mission
The Near-Earth Object (NEO) Surveyor mission is a NASA observatory designed to discover and characterize near-Earth asteroids and comets. The mission's primary objective is to find the majority of objects large enough to cause severe regional impact
Externí odkaz:
http://arxiv.org/abs/2310.12918
Autor:
Masiero, Joseph R., Dahlen, Dar W., Mainzer, Amy K., Bottke, William F., Bragg, Jennifer C., Bauer, James. M., Grav, Tommy
The Near Earth Object Surveyor mission has a requirement to find two-thirds of the potentially hazardous asteroids larger than 140 meters in size. In order to determine the mission's expected progress toward this goal during design and testing, as we
Externí odkaz:
http://arxiv.org/abs/2310.12919
Autor:
McFadden, Kiana D., Mainzer, Amy K., Masiero, Joseph R., Bauer, James M., Cutri, Roc M., Dahlen, Dar, Masci, Frank J., Pittichová, Jana, Satpathy, Akash, Wright, Edward L.
Probing small main-belt asteroids provides insight into their formation and evolution through multiple dynamical and collisional processes. These asteroids also overlap in size with the potentially hazardous near-earth object population and supply th
Externí odkaz:
http://arxiv.org/abs/2309.13158
Autor:
Carignan-Dugas, Arnaud, Dahlen, Dar, Hincks, Ian, Ospadov, Egor, Beale, Stefanie J., Ferracin, Samuele, Skanes-Norman, Joshua, Emerson, Joseph, Wallman, Joel J.
Quantum computers are inhibited by physical errors that occur during computation. For this reason, the development of increasingly sophisticated error characterization and error suppression techniques is central to the progress of quantum computing.
Externí odkaz:
http://arxiv.org/abs/2303.17714
Autor:
Sofia Berglund, John Paoli, Petra Svensson, Karin Terstappen, Martin Gillstedt, Johan Dahlén Gyllencreutz
Publikováno v:
Dermatology Practical & Conceptual, Vol 14, Iss 4 (2024)
Introduction: Short-term teledermoscopic monitoring helps to distinguish early melanomas from nevi. As the incidence of melanoma is increasing, there are several benefits of patients taking their own dermoscopic images, but only a few previous studie
Externí odkaz:
https://doaj.org/article/eeb8d84a65de4257a602265438027431
Randomized compiling reduces the effects of errors on quantum computers by tailoring arbitrary Markovian errors into stochastic Pauli noise. Here we prove that randomized compiling also tailors non-Markovian errors into local stochastic Pauli noise a
Externí odkaz:
http://arxiv.org/abs/2212.07500