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Measurement of the average transverse momentum of forward prompt charged particles in $pp$ and pPbp\mathrm{Pb} collisions at sNN=5.02  TeV\sqrt{s_{NN}} = 5.02\; \mathrm{TeV}

Using LHCb data from $pp$ and pPbp\mathrm{Pb} collisions at sNN=5.02  TeV\sqrt{s_{NN}} = 5.02\; \mathrm{TeV}, this study presents the first measurements of the average transverse momentum of forward prompt charged particles, revealing a decreasing trend with pseudorapidity that supports collective behavior and aligns with hydrodynamic calculations while contradicting saturation models.

Original authors: LHCb collaboration, R. Aaij, M. Abdelfatah, A. S. W. Abdelmotteleb, C. Abellan Beteta, F. Abudinén, T. Ackernley, A. A. Adefisoye, B. Adeva, M. Adinolfi, P. Adlarson, C. Agapopoulou, C. A. Aidala, S.
Published 2026-07-30
📖 3 min read🧠 Deep dive

Original authors: LHCb collaboration, R. Aaij, M. Abdelfatah, A. S. W. Abdelmotteleb, C. Abellan Beteta, F. Abudinén, T. Ackernley, A. A. Adefisoye, B. Adeva, M. Adinolfi, P. Adlarson, C. Agapopoulou, C. A. Aidala, S. Akar, K. Akiba, P. Albicocco, J. Albrecht, R. Aleksiejunas, F. Alessio, P. Alvarez Cartelle, S. Amato, J. L. Amey, Y. Amhis, L. An, L. Anderlini, M. Andersson, P. Andreola, M. Andreotti, S. Andres Estrada, A. Anelli, D. Ao, C. Arata, F. Archilli, Z. Areg, M. Argenton, S. Arguedas Cuendis, L. Arnone, M. Artuso, E. Aslanides, R. Ataíde Da Silva, M. Atzeni, B. Audurier, J. A. Authier, D. Bacher, I. Bachiller Perea, S. Bachmann, M. Bachmayer, J. J. Back, Z. B. Bai, V. Balagura, A. Balboni, W. Baldini, Z. Baldwin, L. Balzani, H. Bao, J. Baptista de Souza Leite, C. Barbero Pretel, M. Barbetti, I. R. Barbosa, R. J. Barlow, M. Barnyakov, S. Baron, S. Barsuk, W. Barter, J. Bartz, S. Bashir, B. Batsukh, P. B. Battista, A. Bavarchee, A. Bay, A. Beck, M. Becker, F. Bedeschi, I. B. Bediaga, N. A. Behling, S. Belin, A. Bellavista, I. Belov, I. Belyaev, G. Bencivenni, E. Ben-Haim, J. L. M. Berkey, R. Bernet, A. Bertolin, F. Betti, J. Bex, O. Bezshyyko, S. Bhattacharya, M. S. Bieker, N. V. Biesuz, A. Biolchini, M. Birch, F. C. R. Bishop, A. Bitadze, A. Bizzeti, T. Blake, F. Blanc, J. E. Blank, S. Blusk, J. A. Boelhauve, O. Boente Garcia, T. Boettcher, A. Bohare, C. Bolognani, R. Bolzonella, R. B. Bonacci, A. Bordelius, F. Borgato, S. Borghi, M. Borsato, J. T. Borsuk, E. Bottalico, S. A. Bouchiba, M. Bovill, T. J. V. Bowcock, A. Boyer, C. Bozzi, J. D. Brandenburg, A. Brea Rodriguez, N. Breer, C. Breitfeld, J. Brodzicka, J. Brown, D. Brundu, E. Buchanan, M. Burgos Marcos, C. Burr, C. Buti, J. S. Butter, J. Buytaert, W. Byczynski, S. Cadeddu, H. Cai, Y. Cai, A. Caillet, R. Calabrese, L. Calefice, M. Calvi, M. Calvo Gomez, P. Camargo Magalhaes, J. I. Cambon Bouzas, P. Campana, A. C. Campos, A. F. Campoverde Quezada, Y. Cao, S. Capelli, M. Caporale, L. Capriotti, R. 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Darze, A. Davidson, J. E. Davies, O. De Aguiar Francisco, C. De Angelis, F. De Benedetti, J. de Boer, K. De Bruyn, S. De Capua, M. De Cian, U. De Freitas Carneiro Da Graca, E. De Lucia, J. M. De Miranda, L. De Paula, M. De Serio, P. De Simone, F. De Vellis, J. A. de Vries, F. Debernardis, D. Decamp, S. Dekkers, L. Del Buono, B. Delaney, J. Deng, V. Denysenko, O. Deschamps, F. Dettori, B. Dey, P. Di Nezza, S. Ding, Y. Ding, L. Dittmann, A. D. Docheva, A. Doheny, C. Dong, F. Dordei, A. C. dos Reis, A. D. Dowling, L. Dreyfus, W. Duan, P. Duda, L. Dufour, V. Duk, P. Durante, M. M. Duras, J. M. Durham, O. D. Durmus, K. Duwe, A. Dziurda, S. Easo, E. Eckstein, U. Egede, S. Eisenhardt, E. Ejopu, L. Eklund, M. Elashri, D. Elizondo Blanco, J. Ellbracht, S. Ely, A. Ene, J. Eschle, T. Evans, F. Fabiano, S. Faghih, L. N. Falcao, B. Fang, R. Fantechi, L. Fantini, M. Faria, K. Farmer, F. Fassin, D. Fazzini, L. Felkowski, C. Feng, M. Feng, A. Fernandez Casani, M. Fernandez Gomez, A. D. Fernez, F. 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Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine the universe as a giant, cosmic kitchen. For decades, physicists have been trying to figure out what happens when you smash ingredients together at speeds close to the speed of light. Usually, they use massive "ovens" called particle colliders to smash heavy atoms (like lead) into each other. When these heavy atoms collide, they melt into a super-hot, super-dense soup called a quark-gluon plasma. This soup behaves like a near-perfect fluid, flowing and swirling together in a coordinated dance known as "collective behavior." It's like dropping a drop of milk into a cup of coffee and watching it swirl in a perfect, organized pattern rather than just splashing randomly.

But here's the mystery: scientists started seeing this same organized "swirling" dance even when they smashed tiny ingredients together, like single protons (the building blocks of atoms) or a proton against a lead atom. These are much smaller collisions, and according to old theories, they should be too small to create a fluid soup. It's like seeing a perfect swirl in a single drop of coffee. This has sparked a huge debate. One group of scientists thinks this is actually a tiny drop of the same fluid soup. Another group thinks it's something else entirely, like a "Color Glass Condensate"—a state where the tiny particles inside the proton are so packed together they act like a frozen, saturated sponge. To solve this, we need to look at how the particles fly out of the collision. If they are flowing like a fluid, they should move in a specific way depending on where you look. If they are just a saturated sponge, they should move differently.

This paper from the LHCb collaboration at CERN takes a fresh look at this puzzle by measuring the "average push" (transverse momentum) of particles flying out of these tiny collisions. They didn't just look at the particles; they looked at how many particles were created in each crash and where they were flying. They found that in collisions with a lot of particles (high multiplicity), the particles fly out in a way that strongly suggests they are flowing like a fluid. The data matches the predictions of complex fluid simulations perfectly. However, the data does not match the predictions of the "saturated sponge" models, especially when there are many particles involved.

The researchers used the LHCb detector, which is like a high-speed camera positioned to the side of the collision point, to catch particles flying out at a forward angle. They analyzed data from collisions at an energy of 5.02 TeV. They measured the average transverse momentum (how hard the particles are kicked sideways) for different numbers of particles produced. They discovered that as you look further out toward the "edges" of the collision (higher pseudorapidity), the average kick gets weaker. This drop-off is much more noticeable when a lot of particles are created.

The results are a strong hint that the "fluid soup" theory is the right one for these small systems. The authors state that their measurements are reproduced by state-of-the-art hydrodynamic calculations (the fluid models). In contrast, they explicitly note that the saturation models (the "saturated sponge" or Color Glass Condensate ideas) are not compatible with their data. While the models can describe the data qualitatively in some low-particle cases, they fail to explain the trend when many particles are produced. The paper concludes that this specific behavior—where the particle push decreases as you look further forward, especially in crowded collisions—is a signature of collective fluid behavior, providing a unique view into how matter behaves even in the smallest collision systems.

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