Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Shmakov, Alexander"'
Autor:
Huetsch, Nathan, Villadamigo, Javier Mariño, Shmakov, Alexander, Diefenbacher, Sascha, Mikuni, Vinicius, Heimel, Theo, Fenton, Michael, Greif, Kevin, Nachman, Benjamin, Whiteson, Daniel, Butter, Anja, Plehn, Tilman
Recent innovations from machine learning allow for data unfolding, without binning and including correlations across many dimensions. We describe a set of known, upgraded, and new methods for ML-based unfolding. The performance of these approaches ar
Externí odkaz:
http://arxiv.org/abs/2404.18807
Autor:
Shmakov, Alexander, Greif, Kevin, Fenton, Michael James, Ghosh, Aishik, Baldi, Pierre, Whiteson, Daniel
The measurements performed by particle physics experiments must account for the imperfect response of the detectors used to observe the interactions. One approach, unfolding, statistically adjusts the experimental data for detector effects. Recently,
Externí odkaz:
http://arxiv.org/abs/2404.14332
Autor:
Sarkar, Soumyendu, Gundecha, Vineet, Ghorbanpour, Sahand, Shmakov, Alexander, Babu, Ashwin Ramesh, Naug, Avisek, Pichard, Alexandre, Cocho, Mathieu
Publikováno v:
IJCAI 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial IntelligenceAugust 2023, Article No 688, Pages 6201 to 6209
The industrial multi-generator Wave Energy Converters (WEC) must handle multiple simultaneous waves coming from different directions called spread waves. These complex devices in challenging circumstances need controllers with multiple objectives of
Externí odkaz:
http://arxiv.org/abs/2404.10991
Autor:
Tavakoli, Mohammadamin, Chiu, Yin Ting T., Shmakov, Alexander, Carlton, Ann Marie, Van Vranken, David, Baldi, Pierre
Deep learning-based reaction predictors have undergone significant architectural evolution. However, their reliance on reactions from the US Patent Office results in a lack of interpretable predictions and limited generalization capability to other c
Externí odkaz:
http://arxiv.org/abs/2311.01118
Autor:
Shmakov, Alexander, Naug, Avisek, Gundecha, Vineet, Ghorbanpour, Sahand, Gutierrez, Ricardo Luna, Babu, Ashwin Ramesh, Guillen, Antonio, Sarkar, Soumyendu
Bayesian Optimization (BO), guided by Gaussian process (GP) surrogates, has proven to be an invaluable technique for efficient, high-dimensional, black-box optimization, a critical problem inherent to many applications such as industrial design and s
Externí odkaz:
http://arxiv.org/abs/2310.03912
Autor:
Fenton, Michael James, Shmakov, Alexander, Okawa, Hideki, Li, Yuji, Hsiao, Ko-Yang, Hsu, Shih-Chieh, Whiteson, Daniel, Baldi, Pierre
Publikováno v:
Commun Phys 7, 139 (2024)
Reconstructing unstable heavy particles requires sophisticated techniques to sift through the large number of possible permutations for assignment of detector objects to the underlying partons. Anapproach based on a generalized attention mechanism, s
Externí odkaz:
http://arxiv.org/abs/2309.01886
Autor:
Shmakov, Alexander, Greif, Kevin, Fenton, Michael, Ghosh, Aishik, Baldi, Pierre, Whiteson, Daniel
High-energy collisions at the Large Hadron Collider (LHC) provide valuable insights into open questions in particle physics. However, detector effects must be corrected before measurements can be compared to certain theoretical predictions or measure
Externí odkaz:
http://arxiv.org/abs/2305.10399
The complex events observed at the NOvA long-baseline neutrino oscillation experiment contain vital information for understanding the most elusive particles in the standard model. The NOvA detectors observe interactions of neutrinos from the NuMI bea
Externí odkaz:
http://arxiv.org/abs/2303.06201
Autor:
Sarkar, Soumyendu, Gundecha, Vineet, Ghorbanpour, Sahand, Shmakov, Alexander, Babu, Ashwin Ramesh, Pichard, Alexandre, Cocho, Mathieu
Publikováno v:
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)
Recent Wave Energy Converters (WEC) are equipped with multiple legs and generators to maximize energy generation. Traditional controllers have shown limitations to capture complex wave patterns and the controllers must efficiently maximize the energy
Externí odkaz:
http://arxiv.org/abs/2209.05656
Autor:
Shmakov, Alexander, Tavakoli, Mohammadamin, Baldi, Pierre, Karwin, Christopher M., Broughton, Alex, Murgia, Simona
A significant point-like component from the small scale (or discrete) structure in the H2 interstellar gas might be present in the Fermi-LAT data, but modeling this emission relies on observations of rare gas tracers only available in limited regions
Externí odkaz:
http://arxiv.org/abs/2206.02819