Erratum: Scaled momentum spectra in deep inelastic scattering at HERA (Journal of High Energy Physics (2010) 06 (009)) by Abramowicz, H, Abt, I, Adamczyk, L, Adamus, M, Antonelli, S, Antonioli, P, Antonov, A, Arneodo, M, Aushev, V, Aushev, Y, Bachynska, O, Bamberger, A, Barakbaev, A, Barbagli, G, Bari, G, Barreiro, F, Bartsch, D, Basile, M, Behnke, O, Behr, J, Behrens, U, Bellagamba, L, Bertolin, A, Bhadra, S, Bindi, M

Proceedings of the Fifth International Conference on Calorimetry in High Energy Physics, Brookhaven National Laboratory, September 25 - October 1, 1994 / by International Conference on Calorimetry in High Energy Physics (5th : 1994 : Brookhaven), Gordon, Howard A., Rueger, Doris

Cover your bases: asymptotic distributions of the profile likelihood ratio when constraining effective field theories in high-energy physics by Florian Urs Bernlochner, Daniel C. Fry, Stephen Burns Menary, Eric Persson

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The locus of legitimate interpretation in Big Data sciences: Lessons for computational social science from -omic biology and high-energy physics by Andrew Bartlett, Jamie Lewis, Luis Reyes-Galindo, Neil Stephens

“…We use examples drawn from our Science and Technology Studies (STS) analyses of -omic biology and high energy physics to demonstrate the utility of three theoretical concepts: (i) primary and secondary inscriptions, (ii) crafted and found data, and (iii) the locus of legitimate interpretation. …”
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Exploring New Frontiers in High Energy Physics: Boosted Resonances Decaying To Quarks, Foundation Models, and Heterogeneous Computing at the CMS Experiment by Krupa, Jeffrey

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On the parametrization of solutions of the Yang--Baxter equations by J. Hietarinta, C. Viallet

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TITUS: Visualization of Neutrino Events in Liquid Argon Time Projection Chambers by Corey Adams, Marco del Tutto

Subjects: “…high energy physics…”
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Deep Learning Study of an Electromagnetic Calorimeter by Elihu Sela, Shan Huang, David Horn

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How to Use Machine Learning to Improve the Discrimination between Signal and Background at Particle Colliders by Xabier Cid Vidal, Lorena Dieste Maroñas, Álvaro Dosil Suárez

Subjects: “…high-energy physics…”
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Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning by Jieun Yoo, Jennet Dickinson, Morris Swartz, Giuseppe Di Guglielmo, Alice Bean, Douglas Berry, Manuel Blanco Valentin, Karri DiPetrillo, Farah Fahim, Lindsey Gray, James Hirschauer, Shruti R Kulkarni, Ron Lipton, Petar Maksimovic, Corrinne Mills, Mark S Neubauer, Benjamin Parpillon, Gauri Pradhan, Chinar Syal, Nhan Tran, Dahai Wen, Aaron Young

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Searching for Beyond the Standard Model resonances in the HH → bb̄bb̄ final state using the ATLAS detector by Stanislaus, B

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High energy physics ICHEP 2006 : proceedings of the 33rd International Conference, Moscow, Russia, 26 July- 2 August 2006 / by Sissakian, Alexey

Monte Carlo Threshold Energy Estimation for A + B → C + D processes: An Educational Resource in Experimental High Energy Physics Research by Manuel Alejandro Segura, Julian Salamanca, Edwin Munevar

“…Specialized documentation envisioned from a pedagogical bases to train scientifically and technologically teachers and researchers, who initiate themselves in the analysis of high energy physics (HEP) experiments, is scarce. The lack of this material makes that young scientists' learning process be prolonged in time, raising costs in experimental research. …”
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Stable micro black holes at fusion nuclear reactions by Aref Yazdani, Ali Tofighi, Jafar Sadeghi

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Universal properties of primary and secondary cosmic ray energy spectra by Marco Smolla, Benjamin Schäfer, Harald Lesch, Christian Beck

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Experimental background and theory ladenness of experimentation by Pronskikh V.S.

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Hough Transform Proposal and Simulations for Particle Track Recognition for LHC Phase-II Upgrade by Alessandro Gabrielli, Fabrizio Alfonsi, Francesca Del Corso

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Data Readout Techniques on FPGA for the ATLAS RPC-BIS78 Detectors by Andreas Vgenopoulos, Kostas Kordas, Federico Lasagni, Sabrina Perrella, Alessandro Polini, Riccardo Vari

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The Atlas Experiment Simulations As The Computing Challenge For The Ack Cyfronet Agh by Anna Kaczmarska, Paweł Malecki, Tadeusz Szymocha, Elżbieta Richter-Wąs

Subjects: “…High Energy Physics; HEP; ATLAS; tau lepton physics…”
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Artificial Intelligence for the Electron Ion Collider (AI4EIC) by Allaire, C., Ammendola, R., Aschenauer, E.-C., Balandat, M., Battaglieri, M., Bernauer, J., Bondì, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., Ent, R., Fanelli, C., Finger, M., Finger, M., Fol, E., Furletov, S., Gao, Y., Giroux, J., Waduge, N. C. Gunawardhana, Hassan, O., Hegde, P. L., Hernández-Pinto, R. J., Blin, A. Hiller, Horn, T., Huang, J., Jalotra, A., Jayakodige, D., Joo, B., Junaid, M., Kalantarians, N., Karande, P., Kriesten, B., Elayavalli, R. Kunnawalkam, Li, Y., Lin, M., Liu, F., Liuti, S., Matousek, G., McEneaney, M., McSpadden, D., Menzo, T., Miceli, T., Mikuni, V., Montgomery, R., Nachman, B., Nair, R. R., Niestroy, J., Oregon, S. A. Ochoa, Oleniacz, J., Osborn, J. D., Paudel, C., Pecar, C., Peng, C., Perdue, G. N., Phelps, W., Purschke, M. L., Rajendran, H., Rajput, K., Ren, Y., Renteria-Estrada, D. F., Richford, D., Roy, B. J., Roy, D., Saini, A., Sato, N., Satogata, T., Sborlini, G., Schram, M., Shih, D., Singh, J., Singh, R., Siodmok, A., Stevens, J., Stone, P., Suarez, L., Suresh, K., Tawfik, A.-N., Acosta, F. Torales, Tran, N., Trotta, R., Twagirayezu, F. J., Tyson, R., Volkova, S., Vossen, A., Walter, E., Whiteson, D., Williams, M., Wu, S., Zachariou, N., Zurita, P.

Subjects: “…Nuclear and High Energy Physics…”
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