Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Gavalian, Gagik"'
Autor:
Gavalian, Gagik
This paper presents the results of charged particle track reconstruction in CLAS12 using artificial intelligence. In our approach, we use machine learning algorithms to reconstruct tracks, including their momentum and direction, with high accuracy fr
Externí odkaz:
http://arxiv.org/abs/2403.04020
Fast, efficient and accurate triggers are a critical requirement for modern high-energy physics experiments given the increasingly large quantities of data that they produce. The CEBAF Large Acceptance Spectrometer (CLAS12) employs a highly efficient
Externí odkaz:
http://arxiv.org/abs/2302.07635
In this article, we present the results of using Convolutional Auto-Encoders for de-noising raw data for CLAS12 drift chambers. The de-noising neural network provides increased efficiency in track reconstruction and also improved performance for high
Externí odkaz:
http://arxiv.org/abs/2205.02616
Autor:
Gavalian, Gagik, Thomadakis, Polykarpos, Angelopoulos, Angelos, Chrisochoides, Nikos, De Vita, Raffaella, Ziegler, Veronique
In this article we describe the implementation of Artificial Intelligence models in track reconstruction software for the CLAS12 detector at Jefferson Lab. The Artificial Intelligence based approach resulted in improved track reconstruction efficienc
Externí odkaz:
http://arxiv.org/abs/2202.06869
Autor:
Gavalian, Gagik1 gavalian@jlab.org, Thomadakis, Polykarpos2 pthom001@odu.edu, Angelopoulos, Angelos2 aangelos28@gmail.com, Chrisochoides, Nikos2 npchris@gmail.com
Publikováno v:
EPJ Web of Conferences. 5/6/2024, Vol. 295, p1-9. 9p.
Publikováno v:
EPJ Web of Conferences. 5/6/2024, Vol. 295, p1-8. 8p.
Autor:
Gavalian, Gagik
In this article we describe the development of machine learning models to assist the CLAS12 tracking algorithm by identifying tracks through inferring missing segments in the drift chambers. Auto encoders are used to reconstruct missing segments from
Externí odkaz:
http://arxiv.org/abs/2009.05144
Particle track reconstruction is the most computationally intensive process in nuclear physics experiments. Traditional algorithms use a combinatorial approach that exhaustively tests track measurements ("hits") to identify those that form an actual
Externí odkaz:
http://arxiv.org/abs/2008.12860
Autor:
KLF Collaboration, Amaryan, Moskov, Bashkanov, Mikhail, Dobbs, Sean, Ritman, James, Stevens, Justin, Strakovsky, Igor, Adhikari, Shankar, Asaturyan, Arshak, Austregesilo, Alexander, Baalouch, Marouen, Baturin, Vitaly, Berdnikov, Vladimir, Becerra, Olga Cortes, Black, Timothy, Boeglin, Werner, Briscoe, William, Brooks, William, Burkert, Volker, Chudakov, Eugene, Clash, Geraint, Cole, Philip, Crede, Volker, Day, Donal, Degtyarenko, Pavel, Deur, Alexandre, Dodge, Gail, Dolgolenko, Anatoly, Eidelman, Simon, Egiyan, Hovanes, Epifanov, Denis, Eugenio, Paul, Fegan, Stuart, Filippi, Alessandra, Furletov, Sergey, Gan, Liping, Garibaldi, Franco, Gasparian, Ashot, Gavalian, Gagik, Glazier, Derek, Gleason, Colin, Goryachev, Vladimir, Guo, Lei, Hamilton, David, Hayrapetyan, Avetik, Huber, Garth, Hurley, Andrew, Hyde, Charles, Illari, Isabella, Ireland, David, Jaegle, Igal, Joo, Kyungseon, Kakoyan, Vanik, Kalicy, Grzegorz, Kamel, Mahmoud, Keith, Christopher, Kim, Chan Wook, Klemp, Eberhard, Krafft, Geoffrey, Kuhn, Sebastian, Kuleshov, Sergey, Laptev, Alexander, Larin, Ilya, Lawrence, David, Lersch, Daniel, Li, Wenliang, Luckas, Kevin, Lyubovitskij, Valery, Mack, David, McCaughan, Michael, Manley, Mark, Marukyan, Hrachya, Matveev, Vladimir, Mocanu, Mihai, Mokeev, Viktor, Meyer, Curtis, McKinnon, Bryan, Nerling, Frank, Nicol, Matthew, Niculescu, Gabriel, Ostrovidov, Alexander, Papandreou, Zisis, Park, KiJun, Pasyuk, Eugene, Pauli, Peter, Pentchev, Lubomir, Phelps, William, Price, John, Reinhold, Jorg, Romanov, Dimitri, Salgado, Carlos, Satogata, Todd, Schadmand, Susan, Schertz, Amy, Schmidt, Axel, Sober, Daniel, Somov, Alexander, Somov, Sergei, Tarasov, Victor, Taylor, Simon, Thiel, Annika, Urciuoli, Guido Maria, Szumila-Vance, Holly, Watts, Daniel, Weinstein, Lawrence, Whitlatch, Timothy, Wickramaarachchi, Nilanga, Wojtsekhowski, Bogdan, Zachariou, Nicholas, Zarling, Jonathan, Zhang, Jixie, Anisovich, Alexey, Bazavov, Alexei, Bellwied, Rene, Bernard, Veronique, Colangelo, Gilberto, Cieply, Ales, Doring, Michael, Eskanderian, Ali, Goity, Jose, Haberzettl, Helmut, Hadzimehmedovic, Mirza, Jaffe, Robert, Kopeliovich, Boris, Leutwyler, Heinrich, Mai, Maxim, Mart, Terry, Matveev, Maxim, Meissner, Ulf-G., Morningstar, Colin, Moussallam, Bachir, Nakayama, Kanzo, Ochs, Wolfgang, Oh, Youngseok, Omerovic, Rifat, Osmanovic, Hedim, Oset, Eulogio, Palano, Antimo, Pelaez, Jose, Pilloni, Alessandro, Polyakov, Maxim, Richards, David, Rodas, Arkaitz, Riska, Dan-Olof, de Elvira, Jacobo Ruiz, Ryu, Hui-Young, Santopinto, Elena, Sarantsev, Andrey, Stahov, Jugoslav, Svarc, Alfred, Szczepaniak, Adam, Workman, Ronald, Zou, Bing-Song
We propose to create a secondary beam of neutral kaons in Hall D at Jefferson Lab to be used with the GlueX experimental setup for strange hadron spectroscopy. The superior CEBAF electron beam will enable a flux on the order of $1\times 10^4~K_L/sec$
Externí odkaz:
http://arxiv.org/abs/2008.08215
Publikováno v:
In Computer Physics Communications June 2023 287