Zobrazeno 1 - 10
of 6 373
pro vyhledávání: '"P. Blumenfeld"'
Pair transfer is a unique tool to study pairing correlations in nuclei. Neutron-proton pairing is investigated in the N=Z nuclei of the f-shell, through the reaction (p,3He) in inverse kinematics, that allows to populate at the same time the lowest J
Externí odkaz:
http://arxiv.org/abs/2410.14314
Autor:
Doniza, Liad, Lee, Mitchel, Katzir, Tamar Blumenfeld, Artzi, Moran, Bashat, Dafna Ben, Radunsky, Dvir, Shmueli, Karin, Ben-Eliezer, Noam
Quantitative Susceptibility Mapping (QSM) is a technique for measuring magnetic susceptibility of tissues, aiding in the detection of pathologies like traumatic brain injury and multiple sclerosis by analyzing variations in substances such as iron an
Externí odkaz:
http://arxiv.org/abs/2404.19309
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
Modelling the dynamics of dense granular media is a long standing challenge and essential to many natural phenomena and technological applications. Here, we trace back puzzling experimental observation of detailed-balanced steady states to self-organ
Externí odkaz:
http://arxiv.org/abs/2404.05059
This chapter explores the concept of self-organization in urban planning and design, highlighting its role in shaping the unique characteristics of cities. It examines how various socio-economic, cultural, and political factors contribute to the deve
Externí odkaz:
http://arxiv.org/abs/2403.14175
Autor:
Constantinides, Marios, Tahaei, Mohammad, Quercia, Daniele, Stumpf, Simone, Madaio, Michael, Kennedy, Sean, Wilcox, Lauren, Vitak, Jessica, Cramer, Henriette, Bogucka, Edyta, Baeza-Yates, Ricardo, Luger, Ewa, Holbrook, Jess, Muller, Michael, Blumenfeld, Ilana Golbin, Pistilli, Giada
With the upcoming AI regulations (e.g., EU AI Act) and rapid advancements in generative AI, new challenges emerge in the area of Human-Centered Responsible Artificial Intelligence (HCR-AI). As AI becomes more ubiquitous, questions around decision-mak
Externí odkaz:
http://arxiv.org/abs/2403.00148
Deflection of stray asteroids by low-momentum impacts is an Earth's key defense strategy. Using a proof-of-principle numerical model, we show that even such impacts on rubble pile asteroids (RPAs) may lead to fragmentation because of inherent interna
Externí odkaz:
http://arxiv.org/abs/2402.16723
Autor:
Guanwen, Zeng, Nimrod, Serok, Blumenfeld, Lieberthal Efrat, Jinxiao, Duan, Shiyan, Liu, Shaobo, Sui, Daqing, Li, Shlomo, Havlin
We analyze the patterns of traffic jams in urban networks of five large cities and an urban agglomeration region in China using real data based on a recently developed jam tree model. This model focuses on the way traffic jams spread through a networ
Externí odkaz:
http://arxiv.org/abs/2401.15433
The majority of the research on the quantization of Deep Neural Networks (DNNs) is focused on reducing the precision of tensors visible by high-level frameworks (e.g., weights, activations, and gradients). However, current hardware still relies on hi
Externí odkaz:
http://arxiv.org/abs/2401.14110
Neural network (NN) denoisers are an essential building block in many common tasks, ranging from image reconstruction to image generation. However, the success of these models is not well understood from a theoretical perspective. In this paper, we a
Externí odkaz:
http://arxiv.org/abs/2311.06748