Zobrazeno 1 - 10
of 8 010
pro vyhledávání: '"A. Simeonov"'
Autor:
K. Michaelian, A. Simeonov
Publikováno v:
Biogeosciences, Vol 19, Pp 4029-4034 (2022)
Lars Björn doubts our assertion that the driving force behind the origin and evolution of life has been the thermodynamic imperative of increasing the entropy production of the biosphere through increasing global solar photon dissipation. Björn bas
Externí odkaz:
https://doaj.org/article/bda632e356314d83bc490dd1d52804c4
Autor:
Simeonov, Lachezar S.
Most authors of textbooks on quantum mechanics either postulate or sketch a short `ad hoc` derivation of Schrodinger's equation. In this work we give a detailed derivation of Schrodinger's equation from the Hamilton-Jacobi equation and the Eikonal eq
Externí odkaz:
http://arxiv.org/abs/2410.03689
Autor:
Simeonov, Lachezar S.
The major difficulty when one teaches about non-inertial reference frames in undergraduate courses on Classical Mechanics is to find an intuitive way to derive the Coriolis acceleration. Indeed, there is a factor of 2 in the formula for the Coriolis
Externí odkaz:
http://arxiv.org/abs/2409.14135
Autor:
Ren, Allen Z., Lidard, Justin, Ankile, Lars L., Simeonov, Anthony, Agrawal, Pulkit, Majumdar, Anirudha, Burchfiel, Benjamin, Dai, Hongkai, Simchowitz, Max
We introduce Diffusion Policy Policy Optimization, DPPO, an algorithmic framework including best practices for fine-tuning diffusion-based policies (e.g. Diffusion Policy) in continuous control and robot learning tasks using the policy gradient (PG)
Externí odkaz:
http://arxiv.org/abs/2409.00588
Advances in behavior cloning (BC), like action-chunking and diffusion, have enabled impressive capabilities. Still, imitation alone remains insufficient for learning reliable policies for tasks requiring precise aligning and inserting of objects, lik
Externí odkaz:
http://arxiv.org/abs/2407.16677
Autor:
Bertelli, S., Bossi, F., Buonomo, B., De Sangro, R., Di Giulio, C., Di Meco, E., Dimitrova, K., Domenici, D., Ferrarotto, F., Finocchiaro, G., Foggetta, L. G., Frankenthal, A., Garattini, M., Georgiev, G., Gianotti, P., Ivanov, S., Ivanov, Sv., Kozhuharov, V., Leonardi, E., Long, E., Mancini, M., Organtini, G. C., Raggi, M., Sarra, I., Simeonov, R., Spadaro, T., Spiriti, E., Valente, P., Variola, A., Vilucchi, E.
This paper presents a detailed characterization of the positron beam delivered by the Beam Test Facility at Laboratori Nazionali of Frascati to the PADME experiment during Run III, which took place from October to December 2022. It showcases the meth
Externí odkaz:
http://arxiv.org/abs/2405.07203
While learning from demonstrations is powerful for acquiring visuomotor policies, high-performance imitation without large demonstration datasets remains challenging for tasks requiring precise, long-horizon manipulation. This paper proposes a pipeli
Externí odkaz:
http://arxiv.org/abs/2404.03729
Autor:
Bearden, I., Buchakchiev, V., Buhl, A., Dufke, L., Isidori, T., Jia, S., Kozhuharov, V., Loizides, C., Muller, H., Pfeiffer, D., Rauch, M., Rusu, A., Simeonov, R.
Highly integrated multichannel readout electronics is crucial in contemporary particle physics experiments. A novel silicon photomultiplier readout system based on the VMM3a ASIC was developed, for the first time exploiting this chip for calorimetric
Externí odkaz:
http://arxiv.org/abs/2403.14577
Autor:
Torne, Marcel, Simeonov, Anthony, Li, Zechu, Chan, April, Chen, Tao, Gupta, Abhishek, Agrawal, Pulkit
Imitation learning methods need significant human supervision to learn policies robust to changes in object poses, physical disturbances, and visual distractors. Reinforcement learning, on the other hand, can explore the environment autonomously to l
Externí odkaz:
http://arxiv.org/abs/2403.03949
Autor:
Aehle, M., Alme, J., Arata, C., Arsene, I., Bearden, I., Bodova, T., Borshchov, V., Bourrion, O., Bregant, M., Brink, A. van den, Buchakchiev, V., Buhl, A., Chujo, T., Dufke, L., Eikeland, V., Fasel, M., Gauger, N., Gautam, A., Ghimouz, A., Goto, Y., Guernane, R., Hachiya, T., Hassan, H., He, L., Helstrup, H., Huhta, L., Inaba, M., Inukai, T., Isidori, T., Jonas, F., Kawaguchi, T., Keidel, R., Kim, M., Kozhuharov, V., Kumaoka, T., Kusch, L., Loizides, C., Melikyan, Y., Miake, Y., Minafra, N., Nystrand, J., Novitzky, N., Øekland, T., Oyama, K., Park, H., Park, J., Pascal, I., Peitzmann, T., Protsenko, M., Räsänen, S. S., Rarbi, F., Rauch, M., Rehman, A., Richter, M., Röhrich, D., Røed, K., Rusu, A., Rytkönen, H., Sakai, S., Sato, K., Schilling, A., Shimizu, S., Shimomura, M., Simeonov, R., Solheim, E., Sugitate, T., Tambave, G., Takaki, D. Tapia, Tourres, D., Tymchuk, I., Yi, J., Yin, Z., Ullaland, K., Yang, S., Yokoo, T., Zhou, D., Zillien, S.
Publikováno v:
JINST 19 P07006 (2024)
We present the performance of a full-length prototype of the ALICE Forward Calorimeter (FoCal). The detector is composed of a silicon-tungsten electromagnetic sampling calorimeter with longitudinal and transverse segmentation (FoCal-E) of about 20$X_
Externí odkaz:
http://arxiv.org/abs/2311.07413