Zobrazeno 1 - 10
of 116 829
pro vyhledávání: '"PRESTON, A."'
Autor:
Fang, Chengyu, Miles, Jared, Goldwin, Jonathan, Lichtman, Martin, Gillette, Matthew, Bergdolt, Michael, Deshpande, Sanket, Norrell, Sam A., Huft, Preston, Kats, Mikhail A., Saffman, Mark
We demonstrate trapping of individual rubidium (Rb) and cesium (Cs) atoms in an interleaved array of bright tweezers and dark bottle-beam traps, using a microfabricated optical element illuminated by a single laser beam. This trapping approach is sim
Externí odkaz:
http://arxiv.org/abs/2412.20261
Parking functions correspond with preferences of $n$ cars which enter sequentially to park on a one-way street where (1) each car parks in the first available spot greater than or equal to its preference and (2) all cars successfully park. When a car
Externí odkaz:
http://arxiv.org/abs/2412.07873
Autor:
Dage, Kristen C., Tremou, Evangelia, Otahola, Bolivia Cuevas, Koch, Eric W., Oh, Kwangmin, Plotkin, Richard M., Tang, Vivian L., Aldhalemi, Muhammad Ridha, Bustani, Zainab, Fawaz, Mariam Ismail, Harff, Hans J., Khalyleh, Amna, McBride, Timothy, Mason, Jesse, Preston, Anthony, Rinehart, Cortney, Vinson, Ethan, Anderson, Gemma, Cackett, Edward M., Fu, Shih Ching, Kamann, Sebastian, Panurach, Teresa, Pechetti, Renuka, Saikia, Payaswini, Sett, Susmita, Urquhart, Ryan, Usher, Christopher
Intermediate mass black holes (10^2 < M_BH< 10^5 Msun) are an open question in our understanding of black hole evolution and growth. They have long been linked to dense star cluster environments thanks to cluster dynamics, but there are a limited num
Externí odkaz:
http://arxiv.org/abs/2412.07284
Autor:
Nguyen, Quang, Vu, Truong, Nguyen, Trong-Tung, Wen, Yuxin, Robinette, Preston K, Johnson, Taylor T, Goldstein, Tom, Tran, Anh, Nguyen, Khoi
Image editing technologies are tools used to transform, adjust, remove, or otherwise alter images. Recent research has significantly improved the capabilities of image editing tools, enabling the creation of photorealistic and semantically informed f
Externí odkaz:
http://arxiv.org/abs/2412.03809
Infrared studies of asymptotic giant branch (AGB) stars are critical to our understanding of the formation of cosmic dust. In this investigation, we explore the mid-to-far-infrared emission of oxygen rich AGB star RT Virginis. This optically thin dus
Externí odkaz:
http://arxiv.org/abs/2412.01726
Research on the projective measurement of gravitons increasingly supports Dysons conclusions that the detection of single gravitons is not physically possible. It is therefore prudent to consider alternative signatures of non-classicality in gravitat
Externí odkaz:
http://arxiv.org/abs/2411.15632
Publikováno v:
EPTCS 411, 2024, pp. 201-218
Behavior Trees (BTs) are high-level controllers that are useful in a variety of planning tasks and are gaining traction in robotic mission planning. As they gain popularity in safety-critical domains, it is important to formalize their syntax and sem
Externí odkaz:
http://arxiv.org/abs/2411.14165
Autor:
Bellenbaum, Hannah M., Bachmann, Benjamin, Kraus, Dominik, Gawne, Thomas, Böhme, Maximilian P., Döppner, Tilo, Fletcher, Luke B., MacDonald, Michael J., Moldabekov, Zhandos A., Preston, Thomas R., Vorberger, Jan, Dornheim, Tobias
Warm dense matter (WDM) plays an important role in astrophysical objects and technological applications, but the rigorous diagnostics of corresponding experiments is notoriously difficult. In this work, we present a model-free analysis of x-ray Thoms
Externí odkaz:
http://arxiv.org/abs/2411.06830
Autor:
Lum, Tyler Ga Wei, Li, Albert H., Culbertson, Preston, Srinivasan, Krishnan, Ames, Aaron D., Schwager, Mac, Bohg, Jeannette
This work explores conditions under which multi-finger grasping algorithms can attain robust sim-to-real transfer. While numerous large datasets facilitate learning generative models for multi-finger grasping at scale, reliable real-world dexterous g
Externí odkaz:
http://arxiv.org/abs/2410.23701
The costs and complexity of the American judicial system limit access to legal solutions for many Americans. Large language models (LLMs) hold great potential to improve access to justice. However, a major challenge in applying AI and LLMs in legal c
Externí odkaz:
http://arxiv.org/abs/2410.09904