Zobrazeno 1 - 10
of 40 048
pro vyhledávání: '"P. Lea"'
Autor:
Khoperskov, Sergey, van de Ven, Glenn, Steinmetz, Matthias, Ratcliffe, Bridget, Minchev, Ivan, Krajnovic, Davor, Haywood, Misha, Di Matteo, Paola, Kacharov, Nikolay, Marques, Léa, Valentini, Marica, de Jong, Roelof S.
We introduce a novel orbit superposition method designed to reconstruct the stellar density structure, kinematics, and chemical abundance distribution of the entire Milky Way by leveraging 6D phase-space information from its resolved stellar populati
Externí odkaz:
http://arxiv.org/abs/2411.15062
Autor:
Reuter, Lea, De Pietro, Giacomo, Stefkova, Slavomira, Ferber, Torben, Bertacchi, Valerio, Casarosa, Giulia, Corona, Luigi, Ecker, Patrick, Glazov, Alexander, Han, Yubo, Laurenza, Martina, Lueck, Thomas, Massaccesi, Ludovico, Mondal, Suryanarayan, Scavino, Bianca, Spataro, Stefano, Wessel, Christian, Zani, Laura
We present the study of an end-to-end multi-track reconstruction algorithm for the central drift chamber of the Belle II experiment at the SuperKEKB collider using Graph Neural Networks for an unknown number of particles. The algorithm uses detector
Externí odkaz:
http://arxiv.org/abs/2411.13596
This paper presents the design and development of a Shear and Compression Cell (SCC) for measuring the mechanical properties of granular materials in low-gravity environments. This research is motivated by the increasing interest in planetary explora
Externí odkaz:
http://arxiv.org/abs/2411.11571
Autor:
Kowald, Dominik, Scher, Sebastian, Pammer-Schindler, Viktoria, Müllner, Peter, Waxnegger, Kerstin, Demelius, Lea, Fessl, Angela, Toller, Maximilian, Estrada, Inti Gabriel Mendoza, Simic, Ilija, Sabol, Vedran, Truegler, Andreas, Veas, Eduardo, Kern, Roman, Nad, Tomislav, Kopeinik, Simone
Artificial intelligence (AI) technologies (re-)shape modern life, driving innovation in a wide range of sectors. However, some AI systems have yielded unexpected or undesirable outcomes or have been used in questionable manners. As a result, there ha
Externí odkaz:
http://arxiv.org/abs/2411.09973
Autor:
Rosenfelder, Mario, Bold, Lea, Eschmann, Hannes, Eberhard, Peter, Worthmann, Karl, Ebel, Henrik
Advances in machine learning and the growing trend towards effortless data generation in real-world systems has led to an increasing interest for data-inferred models and data-based control in robotics. It seems appealing to govern robots solely base
Externí odkaz:
http://arxiv.org/abs/2411.07192
Publikováno v:
Proceedings of the National Academy of Sciences, 121(46), e2406971121 (2024)
A key function of the lexicon is to express novel concepts as they emerge over time through a process known as lexicalization. The most common lexicalization strategies are the reuse and combination of existing words, but they have typically been stu
Externí odkaz:
http://arxiv.org/abs/2411.05379
Autor:
Chandrasegaran, Keshigeyan, Gupta, Agrim, Hadzic, Lea M., Kota, Taran, He, Jimming, Eyzaguirre, Cristóbal, Durante, Zane, Li, Manling, Wu, Jiajun, Fei-Fei, Li
We present HourVideo, a benchmark dataset for hour-long video-language understanding. Our dataset consists of a novel task suite comprising summarization, perception (recall, tracking), visual reasoning (spatial, temporal, predictive, causal, counter
Externí odkaz:
http://arxiv.org/abs/2411.04998
Autor:
Ripa, Jakub, Dafcikova, Marianna, Kosik, Pavel, Münz, Filip, Ohno, Masanori, Galgoczi, Gabor, Werner, Norbert, Pal, Andras, Meszaros, Laszlo, Csak, Balazs, Fukazawa, Yasushi, Takahashi, Hiromitsu, Mizuno, Tsunefumi, Nakazawa, Kazuhiro, Odaka, Hirokazu, Ichinohe, Yuto, Kapus, Jakub, Hudec, Jan, Frajt, Marcel, Rezenov, Maksim, Daniel, Vladimir, Svoboda, Petr, Dudas, Juraj, Sabol, Martin, Laszlo, Robert, Koleda, Martin, Duriskova, Michaela, Szakszonova, Lea, Kolar, Martin, Husarikova, Nikola, Breuer, Jean-Paul, Hroch, Filip, Vitek, Tomas, Vertat, Ivo, Urbanec, Tomas, Povalac, Ales, Kasal, Miroslav, Hanak, Peter, smelko, Miroslav, Topinka, Martin, Chang, Hsiang-Kuang, Liu, Tsung-Che, Lin, Chih-Hsun, Hu, Chin-Ping, Tsao, Che-Chih
It is well known that silicon photomultipliers (SiPMs) are prone to radiation damage. With the increasing popularity of SiPMs among new spaceborne missions, especially on CubeSats, it is of paramount importance to characterize their performance in sp
Externí odkaz:
http://arxiv.org/abs/2411.00607
Autor:
Gilbert, Karoline M., Choi, Yumi, Boyer, Martha L., Williams, Benjamin F., Weisz, Daniel R., Bell, Eric F., Dalcanton, Julianne J., McQuinn, Kristen B. W., Skillman, Evan D., Costa, Guglielmo, Fouesneau, Morgan, Girardi, Léo, Goldman, Steven R., Gordon, Karl D., Guhathakurta, Puragra, Gull, Maude, Hagen, Lea, Huynh, Ky, Lindberg, Christina W., Marigo, Paola, Murray, Claire E., Pastorelli, Giada, Merica-Jones, Petia Yanchulova
The Local Ultraviolet to Infrared Treasury (LUVIT) is a Hubble Space Telescope program that combines newly acquired data in the near ultraviolet (NUV), optical, and near infrared (NIR) with archival optical and NIR imaging to produce multiband panchr
Externí odkaz:
http://arxiv.org/abs/2410.20454
We introduce a single-qubit quantum measurement engine fuelled by backaction energy input. To reduce energetic costs associated with information processing, the measurement outcomes are only used with a prescribed laziness probability in the feedback
Externí odkaz:
http://arxiv.org/abs/2410.18783