Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Domine, Laura"'
Autor:
Dominé, Laura, Biswas, Ankit, Cloete, Richard, Delacroix, Alex, Fedorenko, Andriy, Jacaruso, Lucas, Kelderman, Ezra, Keto, Eric, Little, Sarah, Loeb, Abraham, Masson, Eric, Prior, Mike, Schultz, Forrest, Szenher, Matthew, Watters, Wes, White, Abby
To date there is little publicly available scientific data on Unidentified Aerial Phenomena (UAP) whose properties and kinematics purportedly reside outside the performance envelope of known phenomena. To address this deficiency, the Galileo Project
Externí odkaz:
http://arxiv.org/abs/2411.07956
Autor:
Loeb, A., Jacobsen, S. B., Tagle, R., Adamson, T., Bergstrom, S., Cloete, R., Cohen, S., Domine, Laura, Fu, H., Hoskinson, C., Hyung, E., Kelly, M., Lard, E., Laukien, F., Lem, J., McCallum, R., Millsap, R., Parendo, C., Pataev, M. I., Peddeti, C., Pugh, J., Samuha, S., Sasselov, D. D., Schlereth, M., Siler, J., Siraj, A., Smith, P. M., Taylor, J., Weed, R., Wright, A., Wynn, J.
We have conducted an extensive towed-magnetic-sled survey during the period of June 14-28, 2023, over the seafloor about 85 km north of Manus Island, Papua New Guinea, centered around the calculated path of the bolide CNEOS 2014-01-08 (IM1). We found
Externí odkaz:
http://arxiv.org/abs/2401.09882
Autor:
Loeb, Abraham, Adamson, Toby, Bergstrom, Sophie, Cloete, Richard, Cohen, Shai, Conrad, Kevin, Domine, Laura, Fu, Hairuo, Hoskinson, Charles, Hyung, Eugenia, Jacobsen, Stein, Kelly, Mike, Kohn, Jason, Lard, Edwin, Lam, Sebastian, Laukien, Frank, Lem, Jim, McCallum, Rob, Millsap, Rob, Parendo, Christopher, Pataev, Michail, Peddeti, Chaitanya, Pugh, Jeff, Samuha, Shmuel, Sasselov, Dimitar, Schlereth, Max, Siler, J. J., Siraj, Amir, Smith, Peter Mark, Tagle, Roald, Taylor, Jonathan, Weed, Ryan, Wright, Art, Wynn, Jeff
We have conducted an extensive towed-magnetic-sled survey during the period 14-28 June, 2023, over the seafloor centered around the calculated path of the bolide CNEOS 2014-01-08 (IM1) about 85 km north of Manus Island, Papua New Guinea. We found abo
Externí odkaz:
http://arxiv.org/abs/2308.15623
Recent inroads in Computer Vision (CV) and Machine Learning (ML) have motivated a new approach to the analysis of particle imaging detector data. Unlike previous efforts which tackled isolated CV tasks, this paper introduces an end-to-end, ML-based d
Externí odkaz:
http://arxiv.org/abs/2102.01033
Machine translation tools do not yet exist for the Yup'ik language, a polysynthetic language spoken by around 8,000 people who live primarily in Southwest Alaska. We compiled a parallel text corpus for Yup'ik and English and developed a morphological
Externí odkaz:
http://arxiv.org/abs/2009.04087
Autor:
Koh, Dae Heun, de Soux, Pierre Côte, Dominé, Laura, Drielsma, François, Itay, Ran, Lin, Qing, Terao, Kazuhiro, Tsang, Ka Vang, Usher, Tracy
Liquid Argon Time Projection Chambers (LArTPCs) are high resolution particle imaging detectors, employed by accelerator-based neutrino oscillation experiments for high precision physics measurements. While images of particle trajectories are intuitiv
Externí odkaz:
http://arxiv.org/abs/2007.03083
Autor:
Drielsma, Francois, Lin, Qing, de Soux, Pierre Côte, Dominé, Laura, Itay, Ran, Koh, Dae Heun, Nelson, Bradley J., Terao, Kazuhiro, Tsang, Ka Vang, Usher, Tracy L.
Liquid Argon Time Projection Chambers (LArTPCs) are a class of detectors that produce high resolution images of charged particles within their sensitive volume. In these images, the clustering of distinct particles into superstructures is of central
Externí odkaz:
http://arxiv.org/abs/2007.01335
Autor:
Dominé, Laura, de Soux, Pierre Côte, Drielsma, François, Koh, Dae Heun, Itay, Ran, Lin, Qing, Terao, Kazuhiro, Tsang, Ka Vang, Usher, Tracy L.
Publikováno v:
Phys. Rev. D 104, 032004 (2021)
Liquid Argon Time Projection Chambers (LArTPC) are particle imaging detectors recording 2D or 3D images of trajectories of charged particles. Identifying points of interest in these images, namely the initial and terminal points of track-like particl
Externí odkaz:
http://arxiv.org/abs/2006.14745
Autor:
Dominé, Laura, Terao, Kazuhiro
Publikováno v:
Phys. Rev. D 102, 012005 (2020)
Deep convolutional neural networks (CNNs) show strong promise for analyzing scientific data in many domains including particle imaging detectors such as a liquid argon time projection chamber (LArTPC). Yet the high sparsity of LArTPC data challenges
Externí odkaz:
http://arxiv.org/abs/1903.05663
Publikováno v:
Phys. Rev. D 98, 114032 (2018)
Motivated by the relation existing between the gluon density in a hadron and the multiplicity of the particles measured in the final state of hadron-nucleus collisions, we study systematically the fluctuations of the gluon density in onia, which are
Externí odkaz:
http://arxiv.org/abs/1810.05049