Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Greif, Kevin"'
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:
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
Autor:
Greif Kevin, Lannon Kevin
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06029 (2020)
Deep neural networks (DNNs) have been applied to the fields of computer vision and natural language processing with great success in recent years. The success of these applications has hinged on the development of specialized DNN architectures that t
Externí odkaz:
https://doaj.org/article/f7ddee4787104ba594d61ec7f4674d1d
Autor:
Doglioni, C., Kim, D., Stewart, G.A., Silvestris, L., Jackson, P., Kamleh, W., Greif, Kevin, Lannon, Kevin
Publikováno v:
EPJ Web of Conferences; 11/16/2020, Vol. 245, p1-8, 8p