Zobrazeno 1 - 10
of 4 481
pro vyhledávání: '"BARNES, P. J."'
Autor:
Lauretta, Dante S., Connolly, Jr., Harold C., Aebersold, Joseph E., Alexander, Conel M. O. D., Ballouz, Ronald-L., Barnes, Jessica J., Bates, Helena C., Bennett, Carina A., Blanche, Laurinne, Blumenfeld, Erika H., Clemett, Simon J., Cody, George D., DellaGiustina, Daniella N., Dworkin, Jason P., Eckley, Scott A., Foustoukos, Dionysis I., Franchi, Ian A., Glavin, Daniel P., Greenwood, Richard C., Haenecour, Pierre, Hamilton, Victoria E., Hill, Dolores H., Hiroi, Takahiro, Ishimaru, Kana, Jourdan, Fred, Kaplan, Hannah H., Keller, Lindsay P., King, Ashley J., Koefoed, Piers, Kontogiannis, Melissa K., Le, Loan, Macke, Robert J., McCoy, Timothy J., Milliken, Ralph E., Najorka, Jens, Nguyen, Ann N., Pajola, Maurizio, Polit, Anjani T., Roper, Heather L., Russell, Sara S., Ryan, Andrew J., Sandford, Scott A., Schofield, Paul F., Schultz, Cody D., Tachibana, Shogo, Thomas-Keprta, Kathie L., Thompson, Michelle S., Tu, Valerie, Tusberti, Filippo, Wang, Kun, Zega, Thomas J., Wolner, C. W. V., Team, the OSIRIS-REx Sample Analysis
On 24 September 2023, the NASA OSIRIS-REx mission dropped a capsule to Earth containing approximately 120 g of pristine carbonaceous regolith from Bennu. We describe the delivery and initial allocation of this asteroid sample and introduce its bulk p
Externí odkaz:
http://arxiv.org/abs/2404.12536
Internal waves propagate on the ocean stratification, carrying energy and redistributing momentum through the ocean interior. The two most significant sources of these waves in the ocean are surface winds and oscillatory tidal flow across topography.
Externí odkaz:
http://arxiv.org/abs/2311.02275
Despite the advances in machine learning and digital pathology, it is not yet clear if machine learning methods can accurately predict molecular information merely from histomorphology. In a quest to answer this question, we built a large-scale datas
Externí odkaz:
http://arxiv.org/abs/2308.01982
Autor:
Barnes, Peter J., Ryder, Stuart D., Novak, Giles, Crutcher, Richard M., Fissel, Laura M., Pitts, Rebecca L., Schap III, William J.
We present SOFIA+ALMA continuum and spectral-line polarisation data on the massive molecular cloud BYF 73, revealing important details about the magnetic field morphology, gas structures, and energetics in this unusual massive star formation laborato
Externí odkaz:
http://arxiv.org/abs/2301.03618
Autor:
Waagaard, E., Barnes, M. J., Bartmann, W., Borburgh, J., Ducimetière, L. S., Kramer, T., Stadlbauer, T., Trubacova, P., Velotti, F. M.
The Super Proton Synchrotron (SPS) injection system plays a fundamental role to preserve the quality of injected high-brightness beams for the Large Hadron Collider (LHC) physics program and to maintain the maximum storable intensity. The present sys
Externí odkaz:
http://arxiv.org/abs/2206.11571
Autor:
Anbajagane, Dhayaa, Aung, Han, Evrard, August E., Farahi, Arya, Nagai, Daisuke, Barnes, David J., Cui, Weiguang, Dolag, Klaus, McCarthy, Ian G., Rasia, Elena, Yepes, Gustavo
Galaxy cluster masses, rich with cosmological information, can be estimated from internal dark matter (DM) velocity dispersions, which in turn can be observationally inferred from satellite galaxy velocities. However, galaxies are biased tracers of t
Externí odkaz:
http://arxiv.org/abs/2110.01683
A simple method for adding uncertainty to neural network regression tasks via estimation of a general probability distribution is described. The methodology supports estimation of heteroscedastic, asymmetric uncertainties by a simple modification of
Externí odkaz:
http://arxiv.org/abs/2109.07250
Autor:
Pitts, Rebecca L., Barnes, Peter J.
We present the second dust continuum data release in the Census of High- and Medium-mass Protostars (CHaMP), expanding the methodology trialed in Pitts et al. 2019 to the entire CHaMP survey area ($280^{\circ}
Externí odkaz:
http://arxiv.org/abs/2106.02047
The earth system is exceedingly complex and often chaotic in nature, making prediction incredibly challenging: we cannot expect to make perfect predictions all of the time. Instead, we look for specific states of the system that lead to more predicta
Externí odkaz:
http://arxiv.org/abs/2104.08281
The earth system is exceedingly complex and often chaotic in nature, making prediction incredibly challenging: we cannot expect to make perfect predictions all of the time. Instead, we look for specific states of the system that lead to more predicta
Externí odkaz:
http://arxiv.org/abs/2104.08236