Zobrazeno 1 - 10
of 350
pro vyhledávání: '"Wunsch Stefan"'
Autor:
Albertsson Kim, An Sitong, Gleyzer Sergei, Moneta Lorenzo, Niermann Joana, Wunsch Stefan, Zampieri Luca, Zapata Mesa Omar Andres
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06019 (2020)
ROOT provides, through TMVA, machine learning tools for data analysis at HEP experiments and beyond. We present recently included features in TMVA and the strategy for future developments in the diversified machine learning landscape. Focus is put on
Externí odkaz:
https://doaj.org/article/1f42177b23164469b9219e717fb4b60d
Autor:
Wunsch Stefan
Publikováno v:
EPJ Web of Conferences, Vol 245, p 08006 (2020)
The CMS collaboration at the CERN LHC has made more than one petabyte of open data available to the public, including large parts of the data which formed the basis for the discovery of the Higgs boson in 2012. Apart from their scientific value, thes
Externí odkaz:
https://doaj.org/article/57533c5e32714cc3ace886ddb21e27c8
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06004 (2020)
Python is nowadays one of the most widely-used languages for data science. Its rich ecosystem of libraries together with its simplicity and readability are behind its popularity. HEP is also embracing that trend, often using Python as an interface la
Externí odkaz:
https://doaj.org/article/103e59948f07457dae98ddfdbba6b955
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06008 (2020)
ROOT provides, through TMVA, machine learning tools for data analysis at HEP experiments and beyond. However, with the rapidly evolving ecosystem for machine learning, the focus of TMVA is shifting. We present the new developments and strategy of TMV
Externí odkaz:
https://doaj.org/article/d6b2dcfbe1ae4af38f4017eeb2f98b13
Autor:
Albertsson Kim, Gleyzer Sergei, Huwiler Marc, Ilievski Vladimir, Moneta Lorenzo, Shekar Saurav, Estrade Victor, Vashistha Akshay, Wunsch Stefan, Zapata Mesa Omar Andres
Publikováno v:
EPJ Web of Conferences, Vol 214, p 06014 (2019)
The Toolkit for Multivariate Analysis, TMVA, the machine learning package integrated into the ROOT data analysis framework, has recently seen improvements to its deep learning module, parallelisation of multivariate methods and cross validation. Perf
Externí odkaz:
https://doaj.org/article/7a1e9ea337eb41e0a9a5996c5206bc43
Autor:
Malik, Sudhir, Meehan, Samuel, Lieret, Kilian, Evans, Meirin Oan, Villanueva, Michel H., Katz, Daniel S., Stewart, Graeme A., Elmer, Peter, Aziz, Sizar, Bellis, Matthew, Bianchi, Riccardo Maria, Bianco, Gianluca, Bonilla, Johan Sebastian, Burger, Angela, Burzynski, Jackson, Chamont, David, Feickert, Matthew, Gadow, Philipp, Gruber, Bernhard Manfred, Guest, Daniel, Hageboeck, Stephan, Heinrich, Lukas, Horzela, Maximilian M., Huwiler, Marc, Lange, Clemens, Lehmann, Konstantin, Li, Ke, Majumder, Devdatta, Mamužić, Judita, Nelson, Kevin, Newhouse, Robin, Nibigira, Emery, Norberg, Scarlet, Pineda, Arturo Sánchez, Proffitt, Mason, Regnery, Brendan, Roepe, Amber, Roiser, Stefan, Schreiner, Henry, Shadura, Oksana, Stark, Giordon, Swatman, Stephen Nicholas, Thais, Savannah, Valassi, Andrea, Wunsch, Stefan, Yakobovitch, David, Yuan, Siqi
Long term sustainability of the high energy physics (HEP) research software ecosystem is essential for the field. With upgrades and new facilities coming online throughout the 2020s this will only become increasingly relevant throughout this decade.
Externí odkaz:
http://arxiv.org/abs/2103.00659
Autor:
ROOT Team, Brann, Kim Albertsson, Amadio, Guilherme, An, Sitong, Bellenot, Bertrand, Blomer, Jakob, Canal, Philippe, Couet, Olivier, Galli, Massimiliano, Guiraud, Enrico, Hageboeck, Stephan, Linev, Sergey, Vila, Pere Mato, Moneta, Lorenzo, Naumann, Axel, Tadel, Alja Mrak, Padulano, Vincenzo Eduardo, Rademakers, Fons, Shadura, Oksana, Tadel, Matevz, Saavedra, Enric Tejedor, Pla, Xavier Valls, Vassilev, Vassil, Wunsch, Stefan
The high energy physics community is discussing where investment is needed to prepare software for the HL-LHC and its unprecedented challenges. The ROOT project is one of the central software players in high energy physics since decades. From its exp
Externí odkaz:
http://arxiv.org/abs/2004.07675
Autor:
Abdallah, Waleed, AbdusSalam, Shehu, Ahmadov, Azar, Ahriche, Amine, Alguero, Gaël, Allanach, Benjamin C., Araz, Jack Y., Arbey, Alexandre, Arina, Chiara, Athron, Peter, Bagnaschi, Emanuele, Bai, Yang, Baker, Michael J., Balazs, Csaba, Barducci, Daniele, Bechtle, Philip, Bharucha, Aoife, Buckley, Andy, Butterworth, Jonathan, Cai, Haiying, Campagnari, Claudio, Cesarotti, Cari, Chrzaszcz, Marcin, Coccaro, Andrea, Conte, Eric, Cornell, Jonathan M., Corpe, Louie Dartmoor, Danninger, Matthias, Darmé, Luc, Deandrea, Aldo, Desai, Nishita, Dillon, Barry, Doglioni, Caterina, Dutta, Juhi, Ellis, John R., Ellis, Sebastian, Fassi, Farida, Feickert, Matthew, Fernandez, Nicolas, Fichet, Sylvain, Kamenik, Jernej F., Flacke, Thomas, Fuks, Benjamin, Geiser, Achim, Genest, Marie-Hélène, Ghalsasi, Akshay, Gonzalo, Tomas, Goodsell, Mark, Gori, Stefania, Gras, Philippe, Greljo, Admir, Guadagnoli, Diego, Heinemeyer, Sven, Heinrich, Lukas A., Heisig, Jan, Hong, Deog Ki, Hryn'ova, Tetiana, Huitu, Katri, Ilten, Philip, Ismail, Ahmed, Jueid, Adil, Kahlhoefer, Felix, Kalinowski, Jan, Kar, Deepak, Kats, Yevgeny, Khosa, Charanjit K., Khoze, Valeri, Klingl, Tobias, Ko, Pyungwon, Kong, Kyoungchul, Kotlarski, Wojciech, Krämer, Michael, Kraml, Sabine, Kulkarni, Suchita, Kvellestad, Anders, Lange, Clemens, Lassila-Perini, Kati, Lee, Seung J., Lessa, Andre, Liu, Zhen, Iglesias, Lara Lloret, Lorenz, Jeanette M., MacDonell, Danika, Mahmoudi, Farvah, Mamuzic, Judita, Marini, Andrea C., Markowitz, Pete, del Arbol, Pablo Martinez Ruiz, Miller, David, Mitsou, Vasiliki, Moretti, Stefano, Nardecchia, Marco, Neshatpour, Siavash, Nhung, Dao Thi, Osland, Per, Owen, Patrick H., Panella, Orlando, Pankov, Alexander, Park, Myeonghun, Porod, Werner, Price, Darren, Prosper, Harrison, Raklev, Are, Reuter, Jürgen, Reyes-González, Humberto, Rizzo, Thomas, Robens, Tania, Rojo, Juan, Rosiek, Janusz A., Ruchayskiy, Oleg, Sanz, Veronica, Schmidt-Hoberg, Kai, Scott, Pat, Sekmen, Sezen, Sengupta, Dipan, Sexton-Kennedy, Elizabeth, Shao, Hua-Sheng, Shin, Seodong, Silvestrini, Luca, Singh, Ritesh, Sinha, Sukanya, Sonneveld, Jory, Soreq, Yotam, Stark, Giordon H., Stefaniak, Tim, Thaler, Jesse, Torre, Riccardo, Torrente-Lujan, Emilio, Unel, Gokhan, Vignaroli, Natascia, Waltenberger, Wolfgang, Wardle, Nicholas, Watt, Graeme, Weiglein, Georg, White, Martin J., Williamson, Sophie L., Wittbrodt, Jonas, Wu, Lei, Wunsch, Stefan, You, Tevong, Zhang, Yang, Zurita, José
Publikováno v:
SciPost Phys. 9, 022 (2020)
We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum. We detail current experimental offerings in direct search
Externí odkaz:
http://arxiv.org/abs/2003.07868
Publikováno v:
Comput Softw Big Sci 5, 4 (2021)
Data analysis in science, e.g., high-energy particle physics, is often subject to an intractable likelihood if the observables and observations span a high-dimensional input space. Typically the problem is solved by reducing the dimensionality using
Externí odkaz:
http://arxiv.org/abs/2003.07186