Zobrazeno 1 - 10
of 14 806
pro vyhledávání: '"A, Hirt"'
Autor:
Pick, Julian, Voß, Julia, Hirt, Simon, Kruse, Jens, Leopold, Tobias, Schwarz, Roman, Klempt, Carsten
Alkaline-earth-like elements play pivotal roles in advanced quantum sensing technologies, notably optical clocks, with unprecedented precision achieved in recent years. Despite remarkable progress, current optical lattice clocks still face challenges
Externí odkaz:
http://arxiv.org/abs/2408.12471
Autor:
Lombardi, Pietro, Georgieva, Hristina, Hirt, Franziska, Mony, Juergen, Duquennoy, Rocco, Emadi, Ramin, Aparicio, Maria Guadalupe, Colautti, Maja, López, Marco, Kück, Stefan, Toninelli, Costanza
In the realm of fundamental quantum science and technologies, non-classical states of light, such as single-photon Fock states, are widely studied. However, current standards and metrological procedures are not optimized for low light levels. Progres
Externí odkaz:
http://arxiv.org/abs/2407.05525
Designing predictive controllers towards optimal closed-loop performance while maintaining safety and stability is challenging. This work explores closed-loop learning for predictive control parameters under imperfect information while considering cl
Externí odkaz:
http://arxiv.org/abs/2404.12187
Autor:
Hirt, Sebastian, Höhl, Andreas, Schaeffer, Joachim, Pohlodek, Johannes, Braatz, Richard D., Findeisen, Rolf
Tuning parameters in model predictive control (MPC) presents significant challenges, particularly when there is a notable discrepancy between the controller's predictions and the actual behavior of the closed-loop plant. This mismatch may stem from f
Externí odkaz:
http://arxiv.org/abs/2404.06125
Autor:
Hirt, Nicole, author
Publikováno v:
Africa Yearbook: Politics, Economy and Society South of the Sahara in 2023. :336-344
Autor:
Hirt, Nicole, author
Publikováno v:
Africa Yearbook: Politics, Economy and Society South of the Sahara in 2023. :329-335
Autor:
Acharya, B., Alexandre, J., Behera, S. C., Benes, P., Bergmann, B., Bertolucci, S., Bevan, A., Brancaccio, R., Branzas, H., Burian, P., Campbell, M., Cecchini, S., Cho, Y. M., de Montigny, M., De Roeck, A., Ellis, J. R., Fairbairn, M., Felea, D., Frank, M., Gould, O., Hays, J., Hirt, A. M., Ho, D. L. -J., Hung, P. Q., Janecek, J., Kalliokoski, M., Lacarrere, D. H., Leroy, C., Levi, G., Margiotta, A., Maselek, R., Maulik, A., Mauri, N., Mavromatos, N. E., Millward, L., Mitsou, V. A., Musumeci, E., Ostrovskiy, I., Ouimet, P. -P., Papavassiliou, J., Patrizii, L., Pavalas, G. E., Pinfold, J. L., Popa, L. A., Popa, V., Pozzato, M., Pospisil, S., Rajantie, A., de Austri, R. Ruiz, Sahnoun, Z., Sakellariadou, M., Sakurai, K., Sarkar, S., Semenoff, G., Shaa, A., Sirri, G., Sliwa, K., Soluk, R., Spurio, M., Staelens, M., Suk, M., Tenti, M., Togo, V., Tuszynski, J. A., Upreti, A., Vento, V., Vives, O.
Publikováno v:
Phys. Rev. Lett. 133, 071803 (2024)
We report on a search for magnetic monopoles (MMs) produced in ultraperipheral Pb--Pb collisions during Run-1 of the LHC. The beam pipe surrounding the interaction region of the CMS experiment was exposed to 184.07 \textmu b$^{-1}$ of Pb--Pb collisio
Externí odkaz:
http://arxiv.org/abs/2402.15682
Autor:
Hutchins, William, Tomko, John A., Hirt, Dan M., Zare, Saman, Matson, Joseph R., Diaz-Granados, Katja, He, Mingze, Pfeifer, Thomas, Li, Jiahan, Edgar, James, Maria, Jon-Paul, Caldwell, Joshua D., Hopkins, Patrick E.
The efficiency of phonon-mediated heat transport is limited by the intrinsic atomistic properties of materials, seemingly providing an upper limit to heat transfer in materials and across their interfaces. The typical speeds of conductive transport,
Externí odkaz:
http://arxiv.org/abs/2401.09594
Devising deep latent variable models for multi-modal data has been a long-standing theme in machine learning research. Multi-modal Variational Autoencoders (VAEs) have been a popular generative model class that learns latent representations that join
Externí odkaz:
http://arxiv.org/abs/2309.00380
Variational autoencoders (VAEs) are popular likelihood-based generative models which can be efficiently trained by maximizing an Evidence Lower Bound (ELBO). There has been much progress in improving the expressiveness of the variational distribution
Externí odkaz:
http://arxiv.org/abs/2308.13731