Zobrazeno 1 - 10
of 2 122
pro vyhledávání: '"Sekmen , Sezen"'
Autor:
Araz, Jack Y., Buckley, Andy, Kasieczka, Gregor, Kieseler, Jan, Kraml, Sabine, Kvellestad, Anders, Lessa, Andre, Procter, Tomasz, Raklev, Are, Reyes-Gonzalez, Humberto, Rolbiecki, Krzysztof, Sekmen, Sezen, Unel, Gokhan
With the increasing usage of machine-learning in high-energy physics analyses, the publication of the trained models in a reusable form has become a crucial question for analysis preservation and reuse. The complexity of these models creates practica
Externí odkaz:
http://arxiv.org/abs/2312.14575
Autor:
Aly, Mohamed, Burzynski, Jackson, Cardwell, Bryan, Craik, Daniel C., van Daalen, Tal, Dado, Tomas, Das, Ayanabha, Peris, Antonio Delgado, Doglioni, Caterina, Elmer, Peter, Eren, Engin, Eriksen, Martin B., Eschle, Jonas, Eulisse, Giulio, Fitzpatrick, Conor, Molina, José Flix, Forti, Alessandra, Galewsky, Ben, Gasiorowski, Sean, Goel, Aman, Gouskos, Loukas, Guiraud, Enrico, Gupta, Kanhaiya, Hageboeck, Stephan, Hall, Allison Reinsvold, Heinrich, Lukas, Held, Alexander, Hernández, José M., Villanueva, Michel Hernández, Hrivnac, Julius, Jouvin, Michel, Khoo, Teng Jian, Kreczko, Luke, Krumnack, Nils, Kuhr, Thomas, Kundu, Baidyanath, Lancon, Eric, Lange, Johannes, Laycock, Paul, Lieret, Kilian, Manganelli, Nicholas J., Villa, Pere Mato, Novak, Andrzej, Yzquierdo, Antonio Perez-Calero, Pivarski, Jim, Proffitt, Mason, Rembser, Jonas, Rodrigues, Eduardo, Rybkin, Grigori, Schaarschmidt, Jana, Schreiner, Henry F., Schulz, Markus, Sciabà, Andrea, Sekmen, Sezen, Sexton-Kennedy, Elizabeth, Shadura, Oksana, Simko, Tibor, Simpson, Nathan, Singh, Jaydip, Skidmore, Nicola, Smith, Nicholas, Sokoloff, Michael, Stewart, Graeme A., Strong, Giles C., Unel, Gokhan, Vassilev, Vassil, Waterlaat, Mark, Watts, Gordon, Yazgan, Efe
The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the needs of HL-LHC and DUNE, as well as the very pressing needs of LHC R
Externí odkaz:
http://arxiv.org/abs/2212.04889
Autor:
Bose, Tulika, Boveia, Antonio, Doglioni, Caterina, Griso, Simone Pagan, Hirschauer, James, Lipeles, Elliot, Liu, Zhen, Shah, Nausheen R., Wang, Lian-Tao, Agashe, Kaustubh, Alimena, Juliette, Baum, Sebastian, Berkat, Mohamed, Black, Kevin, Gardner, Gwen, Gherghetta, Tony, Greaves, Josh, Haehn, Maxx, Harris, Phil C., Harris, Robert, Hogan, Julie, Jayawardana, Suneth, Kahn, Abraham, Kalinowski, Jan, Knapen, Simon, Lewis, Ian M., Narain, Meenakshi, Pachal, Katherine, Reece, Matthew, Reina, Laura, Robens, Tania, Tricoli, Alessandro, Wagner, Carlos E. M., Xu, Riley, Yu, Felix, Zarnecki, Filip, Aboubrahim, Amin, Albert, Andreas, Albrow, Michael, Altmannshofer, Wolfgang, Andonian, Gerard, Apresyan, Artur, Assamagan, Kétévi Adikle, Azzi, Patrizia, Baer, Howard, Baker, Michael J., Banerjee, Avik, Barger, Vernon, Batell, Brian, Bauer, Martin, Beauchesne, Hugues, Bein, Samuel, Belyaev, Alexander, Beniwal, Ankit, Berggren, Mikael, Bhattiprolu, Prudhvi N., Blinov, Nikita, Blondel, Alain, Brandt, Oleg, Cacciapaglia, Giacomo, Capdevilla, Rodolfo, Carena, Marcela, Cazzaniga, Cesare, Celiberto, Francesco Giovanni, Cesarotti, Cari, Chekanov, Sergei V., Cheng, Hsin-Chia, Chen, Thomas Y., Chen, Yuze, Chivukula, R. Sekhar, Citron, Matthew, Cline, James, Cohen, Tim, Collins, Jack H., Corrigan, Eric, Craig, Nathaniel, Craik, Daniel, Crivellin, Andreas, Curtin, David, Darmora, Smita, Das, Arindam, Dasu, Sridhara, de Cosa, Annapaola, Deandrea, Aldo, Delgado, Antonio, Demiragli, Zeynep, d'Enterria, David, Deppisch, Frank F., Dermisek, Radovan, Desai, Nishita, Deshpande, Abhay, de Vries, Jordy, Dickinson, Jennet, Dienes, Keith R., Di Petrillo, Karri Folan, Dolan, Matthew J., Dong, Peter, Draper, Patrick, Drewes, Marco, Dreyer, Etienne, Du, Peizhi, Eble, Florian, Ekhterachian, Majid, Endo, Motoi, Essig, Rouven, Farr, Jesse N., Fassi, Farida, Feng, Jonathan L., Ferretti, Gabriele, Filipetto, Daniele, Flacke, Thomas, Franceschini, Roberto, Franzosi, Diogo Buarque, Fujii, Keisuke, Fuks, Benjamin, Gadam, Sri Aditya, Gao, Boyu, Garcia-Bellido, Aran, Garcia, Isabel Garcia, Garzelli, Maria Vittoria, Gedney, Stephen, Genest, Marie-Hélène, Ghosh, Tathagata, Golkowski, Mark, di Cortona, Giovanni Grilli, Guler, Emine Gurpinar, Guler, Yalcin, Guo, C., Graf, Nate, Haisch, Ulrich, Hajer, Jan, Hamaguchi, Koichi, Han, Tao, Harris, Philip, Heinemeyer, Sven, Hill, Christopher S., Hiltbrand, Joshua, Holmes, Tova Ray, Homiller, Samuel, Hong, Sungwoo, Hopkins, Walter, Hsu, Shih-Chieh, Ilten, Phil, Islam, Wasikul, Iwamoto, Sho, Jeans, Daniel, Jeanty, Laura, Jia, Haoyi, Jindariani, Sergo, Johnson, Daniel, Kahlhoefer, Felix, Kahn, Yonatan, Karchin, Paul, Katsouleas, Thomas, Kawada, Shin-ichi, Kawamura, Junichiro, Kelso, Chris, Khoda, Elham E, Khoze, Valery, Kim, Doojin, Kitahara, Teppei, Klaric, Juraj, Klasen, Michael, Kong, Kyoungchul, Kotlarski, Wojciech, Kotwal, Ashutosh V., Kozaczuk, Jonathan, Kriske, Richard, Kulkarni, Suchita, Kumar, Jason, Kunkel, Manuel, Landsberg, Greg, Lane, Kenneth, Lange, Clemens, Lee, Lawrence, Liao, Jiajun, Lillard, Benjamin, Li, Lingfeng, Li, Shuailong, Li, Shu, List, Jenny, Li, Tong, Liu, Hongkai, Liu, Jia, Long, Jonathan D, Lunghi, Enrico, Lyu, Kun-Feng, Marfatia, Danny, Martinez, Dakotah, Martin, Stephen P., McGinnis, Navin, McGinty, Karrick, Mękała, Krzysztof, Meloni, Federico, Mikulenko, Oleksii, Huang, Ming, Mishra, Rashmish K., Mitra, Manimala, Mitsou, Vasiliki A., Moon, Chang-Seong, Moreno, Alexander, Moroi, Takeo, Mourou, Gerard, Mrowietz, Malte, Muggli, Patric, Nakajima, Jurina, Nath, Pran, Nelson, J., Neubert, Matthias, Nosler, Laura, de Vera, Maria Teresa Núñez Pardo, Okada, Nobuchika, Okada, Satomi, Okorokov, Vitalii A., Onel, Yasar, Ou, Tong, Ovchynnikov, Maksym, Padhan, Rojalin, Pani, Priscilla, Panizzi, Luca, Papaefstathiou, Andreas, Pedro, Kevin, Peña, Cristián, Piazza, Federica, Pinfold, James, Pinna, Deborah, Porod, Werner, Potter, Chris, Prim, Markus Tobias, Profumo, Stefano, Proudfoot, James, Rai, Mudit, Rajec, Filip, Ramos, Reese, Ramsey-Musolf, Michael J., Resta-Lopez, Javier, Reuter, Jürgen, Ringwald, Andreas, Rizzi, Chiara, Rizzo, Thomas G., Rossi, Giancarlo, Ruiz, Richard, Rygaard, L., Sahai, Aakash A., Salam, Shadman, Sandick, Pearl, Sathyan, Deepak, Scherb, Christiane, Schwaller, Pedro, Schwarze, Leonard, Scott, Pat, Sekmen, Sezen, Sengupta, Dibyashree, Sen, S., Sfyrla, Anna, Shackelford, Eric, Sharma, T., Sharma, Varun, Shelton, Jessie, Shepherd, William, Shin, Seodong, Simmons, Elizabeth H., Sloneker, Zoie, Sierra, Carlos Vázquez, Sjöstrand, Torbjörn, Snyder, Scott, Song, Huayang, Stark, Giordon, Stengel, Patrick, Stohr, Joachim, Stolarski, Daniel, Strassler, Matt, Strobbe, Nadja, Gonski, Julia, Suarez, Rebeca Gonzalez, Suehara, Taikan, Su, Shufang, Su, Wei, Syed, Raza M., Tait, Tim M. P., Tajima, Toshiki, Tang, Andy, Tata, Xerxes, Tchalokov, Teodor, Thamm, Andrea, Thomas, Brooks, Toro, Natalia, Tran, Nhan V., Truong, Loan, Tsai, Yu-Dai, Tuecke, Eva, Venkatasubramanian, Nikhilesh, Verhaaren, Chris B., Vuosalo, Carl, Wang, Xiao-Ping, Wang, Xing, Wang, Yikun, Wang, Zhen, Weber, Christian, White, Glen, White, Martin, Williams, Anthony G., Williams, Brady, Williams, Mike, Willocq, Stephane, Woodcock, Alex, Wu, Yongcheng, Xie, Ke-Pan, Xie, Keping, Xie, Si, Yeh, C. -H., Yonamine, Ryo, Yu, David, Yu, S. -S., Zaazoua, Mohamed, Żarnecki, Aleksander Filip, Zembaczynski, Kamil, Zhang, Danyi, Zhang, Jinlong, Zimmermann, Frank, Zurita, Jose
This is the Snowmass2021 Energy Frontier (EF) Beyond the Standard Model (BSM) report. It combines the EF topical group reports of EF08 (Model-specific explorations), EF09 (More general explorations), and EF10 (Dark Matter at Colliders). The report in
Externí odkaz:
http://arxiv.org/abs/2209.13128
Autor:
Sekmen, Sezen
The Run 2 data taking period of the Large Hadron Collider (LHC) at CERN in years 2015-2018 has presented a great opportunity to search for physics beyond the standard model (BSM). It will be followed by the Run 3 period starting in 2022, and by the H
Externí odkaz:
http://arxiv.org/abs/2204.03053
Publikováno v:
PoS(EPS-HEP2021)906
Data analysis at the LHC has a very steep learning curve, which erects a formidable barrier between data and anyone who wishes to analyze data, either to study an idea or to simply understand how data analysis is performed. To make analysis more acce
Externí odkaz:
http://arxiv.org/abs/2203.13302
We propose to adopt a declarative domain specific language for describing the physics algorithm of a high energy physics (HEP) analysis in a standard and unambiguous way decoupled from analysis software frameworks, and argue that this approach provid
Externí odkaz:
http://arxiv.org/abs/2203.09886
Autor:
Bailey, Stephen, Bierlich, Christian, Buckley, Andy, Butterworth, Jon, Cranmer, Kyle, Feickert, Matthew, Heinrich, Lukas, Huebl, Axel, Kraml, Sabine, Kvellestad, Anders, Lange, Clemens, Lessa, Andre, Lassila-Perini, Kati, Nattrass, Christine, Neubauer, Mark S., Sekmen, Sezen, Stark, Giordon, Watt, Graeme
We make the case for the systematic, reliable preservation of event-wise data, derived data products, and executable analysis code. This preservation enables the analyses' long-term future reuse, in order to maximise the scientific impact of publicly
Externí odkaz:
http://arxiv.org/abs/2203.10057
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
This paper presents an overview and features of an Analysis Description Language (ADL) designed for HEP data analysis. ADL is a domain specific, declarative language that describes the physics content of an analysis in a standard and unambiguous way,
Externí odkaz:
http://arxiv.org/abs/2108.00857
Autor:
Sekmen, Sezen
Publikováno v:
Proceedings of Science, PoS(ICHEP2020)280
The classic searches for supersymmetry have not given any strong indication for new physics. Therefore CMS is designing dedicated searches to target the more difficult and specific supersymmetry scenarios. This contribution present three such recent
Externí odkaz:
http://arxiv.org/abs/2101.10888