MétaCan
Menu
Back to cohort
Record W4360602116 · doi:10.2172/1962477

The Present and Future of QCD: QCD Town Meeting White Paper – An Input to the 2023 NSAC Long Range Plan

2023· report· en· W4360602116 on OpenAlexaff
P. Achenbach, D. Adhikari, A. Afanasev, F. Afzal, C. Aidala, A. Al-bataineh, D. Almaaloi, M. Amaryan, D. Androić, W Armstrong, M. Arriatia, J. Arrington, A. Asaturyan, E. Aschenauer, H Atac, H. Avakian, T Averett, C. Ayerbe Gayoso, X Bai, K. Barish, N. Barnea, G. Basar, M Battaglieri, A. Baty, I. Bautista, A Bazilevsky, C. Beattie, S. Behera, Vincenzo Bellini, R. Bellwied, J. Benesch, F Benmokhtar, C. Bernardes, J. Bernauer, H. Bhatt, S. Bhatta, M. Boer, T. J. Boettcher, S. Bogacz, H.J. Bossi, J. Brandenburg, E. Brash, R.A Briceño, W. Briscoe, S. Brodsky, D. Brown, V Burkert, H. Caines, I. Cali, A Camsonne, Dennis K. Carman, J. Caylor, S. Cerci, M. Chamizo Llatas, J. Chen, Y. Chen, Y. Chien, Pin-Chun Chou, X. Chu, E. Chudakov, E. Cline, Ian C. Cloët, P. Cole, M. Conners, M. Constantinou, W. Cosyn, S. Covrig Dusa, R. Cruz-Torres, U. D'Alesio, C. L. Da Silva, Z. Davoudi, C. Dean, D. Dean, M. Demarteau, A Deshpande, W. Detmold, A Deur, B.R. Devkota, S. Dhital, M. Diefenthaler, S. Dobbs, M. Doring, X. Dong, R. Dotel, K. Dow, E. J. Downie, J. Drachenberg, Adrian Dumitru, J. Dunlop, R. Dupre, J. M. Durham, D. Dutta, R. Edwards, Riza Ehlers, L. El Fassi, L. Elouadrhiri, M. Elaasar, M. Engelhardt, R. Ent, S. Esumi, O. Evdokimov, O. Eyser, C. Fanelli, R. Fatemi, I. Fernando, F. Flor, N. Fomin, A. Frawley, T. Federico, RAINER FRIES, C. Gal, B. Gamage, Leonard Gamberg, H. Gao, D. Gaskell, F. J. M. Geurts, Y. Ghandilyan, R. Gilman, C. Gleason, K. Gnanvo, R. Gothe, S. Greene, Harald W. Grießhammer, S.K. Grossberndt, B. Grube, D.C. Hackett, Tyler Hague, H. Hakobyan, J. Hansen, Y. Hatta, M Hattawy, L. Havener, O. Hen, W. Henry, D Higinbotham, T. Hobbs, A.M. Hodges, T. Holmstrom, B. Hong, T. Horn, C. Howell, H. Huang, M. Huang, S. Huang, G. Huber, C. Hyde, E. Isupov, Peter W. Jacobs, J Jalilian-Marian, A. Jentsch, H. Jheng, C-R. Ji, X. Ji, J. Jia, D. Jones, M. Jones, N Kalantarians, G. Kalicy, Zhang An Kang, J.M. Karthein, D Keller, C. Keppel, V. Khachartryan, D. Kharzeev, M. Kim, Y. Kim, P. King, E. Kinney, H. S. Ko, Volker Koch, M. Kohl, Y. Kovchegov, G. Krintiras, V Kubarovsky, S. Kuhn, K. Kumar, T. Kutz, J. G. Lajoie, J. Lauret, I. Lavrukhin, D. Lawrence, J Lee, Kyle Lee, S. Lee, Y Lee, S. Li, W. Li, X. Li, X. Li, J. Liao, H. Lin, M. Lisa, K. Liu, M. Liu, T. Liu, S. Liuti, N. Liyanage, W. Llope, C. Loizides, R. Longo, W. Lorenzon, X. Luo, R. Ma, B. McKinnon, D. Meekins, Y. Mehtar-Tani, W. Melnitchouk, Andreas Metz, C. Meyer, Z. Meziani, R Michaels, R. Milner, H. Mkrtchyan, P. Mohanmurthy, B. Mohanty, V. Mokeev, I. Mooney, C. Morningstar, D. Morrison, Bruna Mariah Martins Muller, S. Mukherjee, James Declan Mulligan, C. Muñoz Camacho, J. Murillo Quijada, M. Murray, S.A. Nadeeshani, P. Nadel-Turonski, J. Nam, C. Nattrass, G. Nijs, J. Norohna, J. Noronha-Hostler, N. Novitzky, M. Nycz, F. Olness, J. Osborn, R. Pak, B Pandey, M. Paolone, Z. Papandreou, J. Paquet, S Park, K. Paschke, B. Pasquini, E Pasyuk, T. Patel, A. Patton, C. Paudel, C. Peng, J. Peng, H. Pereira Da Costa, D. Perepelitsa, M. Peters, P. Petreczky, R. Pisarski, D. Pitonyak, Mateusz Andrzej Ploskon, M. Posik, R. K. Pradhan, A. Prokudin, C. A. Pruneau, J. Putschke, J.R. Pybus, Jinjuan Qiu, K. Rajagopal, C. Ratti, K. Read, R. Reed, D. Richards, C. Riedl, F. Ringer, T. Rinn, Jennifer Rittenhouse West, J. Roche, A. Rodas, G. Roland, F. Romero-Lopez, P. Rossi, T. Rostomyan, Long Ruan, O.M. Ruimi, N. Saha, N. Sahoo, T Sakaguchi, Farid Salazar, C. Salgado, G. Salme, S. Salur, S. Santiesteban, M. Sargsian, M Sarsour, N. Sato, T. Satogata, S. Sawada, Thomas Schäfer, B. Scheihing-Hitschfeld, B. Schenke, S.T. Schindler, A Schmidt, R. Seidl, M. Sabestari, P. Shanahan, Chun Shen, Ting Wen Sheng, M. Shepherd, A. M. Sickles, M.D. Sievert, K. Smith, Y. Song, A. Sorensen, P. Souder, N. Spareveris, S. Srednyak, A. Stahl Leiton, A. Stasto, P. Steinberg, S. Stepanyan, M. Stephanov, J. Stevens, D. Stewart, I. Stewart, M. Stojanovic, I. Strakovsky, S. Strauch, M. Strickland, D.S. Cerci, M. Suresh, B. Surrow, S. Syritsyn, A. Szczepaniak, A. Tadepalli, Z. Tang, JD Tapia Takaki, T. Tarnowsky, A. Tawfik, M. Taylor, C. Tennant, A. Thiel, D. Thomas, Y. Tian, A. Timmins, P. Tribedy, Z. Tu, S. Tuo, T. Ullrich, E. Umaka, N. Ghimire, J. Vary, J. Velkovska, R. Venugopalan, A Vijayakumar, Ivan Vitev, W. Vogelsang, R. Vogt, E. Voutier, V. Vovchenko, André Walker-Loud, F. Wang, J. Wang, X. Wang, X. Wang, L. Weinstein, T. Wenaus, S. Weyhmiller, S. Wissink, B. Wojtsekhowski, Chun-Shang Wong, M. Wood, Y. Wunderlich, B Wyslouch, baotong Xiao, W. Xie, W. Xiong, N. Xu, Q. Xu, Z. Xu, D. Yaari, Xiaojun Yao, Z. Ye, C. Yero, Feng Yuan, W. Zajc, C. Zhang, J. Zhang, F. Zhao, Y. Zhao, Zhongyin Zhao, X. Zheng, J. Zhou

Bibliographic record

Venuenot available
Typereport
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsHomeland securityExploitTracking (education)HomelandRange (aeronautics)White paperBeam (structure)Quantum chromodynamicsPhysicsNuclear physicsDetectorEngineeringAerospace engineeringPolitical scienceComputer scienceElectrical engineeringParticle physicsComputer securitySociologyOptics

Abstract

fetched live from OpenAlex

It is currently understood that there are four fundamental forces in nature: gravitational, electromagnetic, weak and strong forces. The strong force governs the interactions between quarks and gluons, elementary particles whose interactions give rise to the vast majority of visible mass in the universe. The mathematical description of the strong force is provided by the non-Abelian gauge theory Quantum Chromodynamics (QCD). While QCD is an exquisite theory, constructing the nucleons and nuclei from quarks, and furthermore explaining the behavior of quarks and gluons at all energies, remain to be complex and challenging problems. Such challenges, along with the desire to understand all visible matter at the most fundamental level, position the study of QCD as a central thrust of research in nuclear science. Experimental insight into the strong force can be gained using large particle accelerator facilities, which are necessary to probe the very short distance scales over which quarks and gluons interact. The Long Range Plans (LRPs) exercise of 1989 and 1996 led directly to the construction of two world-class facilities: the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab (JLab) that is focused on studying how the structure of hadrons emerges from QCD (cold QCD research), and the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Lab (BNL) that aims at the discovery and study of a new state of matter, the quark-gluon plasma (QGP), at extremely high temperatures (hot QCD research). These past investments have produced major advances. Nucleons and nuclei are being studied with increasing precision with a unified description of the partonic structure utilizing multi-dimensional imaging. Significant progress has been made, paving the way towards a complete picture of how quarks and gluons give rise to the mass, spin, and momentum of the nucleon. In hot QCD, the QGP is created in the collisions of nuclei at RHIC and the Large Hadron Collider (LHC) and is observed to behave like a fluid with very low specific shear viscosity; the current goals are to understand how the fluid behavior emerges from QCD and to characterize the temperature (and chemical potential) dependence of the properties of the QGP. As this White Paper is written, current experimental programs at CEBAF, RHIC and the LHC continue to provide exciting near term opportunities to capitalize on the investments in experimental equipment and accelerator operations. Most importantly, the QCD community looks forward to the construction of the Electron Ion Collider (EIC) as a major new facility to push forward QCD research in the next decades, with significant focus on exploring the properties of gluons, the mediators of the strong force.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.288
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicParticle Detector Development and PerformanceFrench-language works237,207