Zobrazeno 1 - 10
of 7 339
pro vyhledávání: '"Particle Physics Experiments"'
Human-in-the-loop Reinforcement Learning for Data Quality Monitoring in Particle Physics Experiments
Autor:
Parra, Olivia Jullian, Pardiñas, Julián García, Pérez, Lorenzo Del Pianta, Janisch, Maximilian, Klaver, Suzanne, Lehéricy, Thomas, Serra, Nicola
Data Quality Monitoring (DQM) is a crucial task in large particle physics experiments, since detector malfunctioning can compromise the data. DQM is currently performed by human shifters, which is costly and results in limited accuracy. In this work,
Externí odkaz:
http://arxiv.org/abs/2405.15508
Autor:
Jiang, Zhixing, Yin, Dennis, Khoda, Elham E, Loncar, Vladimir, Govorkova, Ekaterina, Moreno, Eric, Harris, Philip, Hauck, Scott, Hsu, Shih-Chieh
Publikováno v:
Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
This work introduces a highly efficient implementation of the transformer architecture on a Field-Programmable Gate Array (FPGA) by using the \texttt{hls4ml} tool. Given the demonstrated effectiveness of transformer models in addressing a wide range
Externí odkaz:
http://arxiv.org/abs/2402.01047
Autor:
Deng, B., Zhang, L., Chao, C. -P., Chen, S. -W., Cruda, E., Gong, D., Hou, S., Huang, G., Huang, X., Li, C. -Y., Liu, C., Liu, T., Liu, E. R., Sun, Q., Sun, X., Wong, G., Ye, J.
We present a pluggable radiation-tolerant 4-level Pulse-Amplitude-Modulation (PAM4) optical transmitter module called GBT20 (Giga-Bit Transmitter at 20 Gbps) for particle-physics experiments. GBT20 has an OSFP or firefly connector to input 16-bit dat
Externí odkaz:
http://arxiv.org/abs/2302.08069
Autor:
Builtjes, Luc, Caron, Sascha, Moskvitina, Polina, Nellist, Clara, de Austri, Roberto Ruiz, Verheyen, Rob, Zhang, Zhongyi
A major task in particle physics is the measurement of rare signal processes. These measurements are highly dependent on the classification accuracy of these events in relation to the huge background of other Standard Model processes. Reducing the ba
Externí odkaz:
http://arxiv.org/abs/2211.05143
Autor:
Deng, B., Huang, X., Sun, H., Chao, C. -P., Chen, S. -W., Gong, D., Hou, S., Huang, G., Li, C. -Y., Liu, C., Liu, T., Sun, Q., Ye, J., Zhang, L., Zhang, W.
We present the design and the test results of a quad-channel optical transceiver module (QTRx) possibly for future particle physics experiments. The transmitters of QTRx, each at 10 Gbps, are based on a Quad-channel VCSEL Diode array Driver (QLDD) an
Externí odkaz:
http://arxiv.org/abs/2203.06277
Autor:
Zhang, L., Cruda, E. M., Chao, C-P., Chen, S-W., Deng, B., Francisco, R., Gong, D., Guo, D., Hou, S., Huang, G., Huang, X., Kulis, S., Li, C-Y., Liu, C., Liu, E. R., Liu, T., Moreira, P., Prinzie, J., Sun, H., Sun, Q., Sun, X., Wong, G., Yang, D., Ye, J., Zhang, W.
We present the design and test results of a novel data transmitter ASIC operating up to 20.48 Gbps with 4-level Pulse-Amplitude-Modulation (PAM4) for particle physics experiments. This ASIC, named GBS20, is fabricated in a 65 nm CMOS technology. Two
Externí odkaz:
http://arxiv.org/abs/2202.03509
Autor:
Heijne, Erik H.M.
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A October 2023 1055
Autor:
Dembinski, Hans, Schmelling, Michael
We compute bias, variance, and approximate confidence intervals for the efficiency of a random selection process under various special conditions that occur in practical data analysis. We consider the following cases: a) the number of trials is not c
Externí odkaz:
http://arxiv.org/abs/2110.00294
Autor:
Cranmer, Kyle, Kraml, Sabine, Prosper, Harrison B., Bechtle, Philip, Bernlochner, Florian U., Bloch, Itay M., Canonero, Enzo, Chrzaszcz, Marcin, Coccaro, Andrea, Conrad, Jan, Cowan, Glen, Feickert, Matthew, Iachellini, Nahuel Ferreiro, Fowlie, Andrew, Heinrich, Lukas, Held, Alexander, Kuhr, Thomas, Kvellestad, Anders, Madigan, Maeve, Mahmoudi, Farvah, Morå, Knut Dundas, Neubauer, Mark S., Pierini, Maurizio, Rojo, Juan, Sekmen, Sezen, Silvestrini, Luca, Sanz, Veronica, Stark, Giordon, Torre, Riccardo, Thorne, Robert, Waltenberger, Wolfgang, Wardle, Nicholas, Wittbrodt, Jonas
Publikováno v:
SciPost Phys. 12, 037 (2022)
The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically publishing
Externí odkaz:
http://arxiv.org/abs/2109.04981