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Photon Triggered Jets: Shedding Light on Particle Physics

Explore the link between photons and jets in high-energy particle collisions.

C. Sirimanna, Y. Tachibana, A. Majumder, A. Angerami, R. Arora, S. A. Bass, Y. Chen, R. Datta, L. Du, R. Ehlers, H. Elfner, R. J. Fries, C. Gale, Y. He, B. V. Jacak, P. M. Jacobs, S. Jeon, Y. Ji, F. Jonas, L. Kasper, M. Kordell, A. Kumar, R. Kunnawalkam-Elayavalli, J. Latessa, Y. -J. Lee, R. Lemmon, M. Luzum, S. Mak, A. Mankolli, C. Martin, H. Mehryar, T. Mengel, C. Nattrass, J. Norman, C. Parker, J. -F. Paquet, J. H. Putschke, H. Roch, G. Roland, B. Schenke, L. Schwiebert, A. Sengupta, C. Shen, M. Singh, D. Soeder, R. A. Soltz, I. Soudi, J. Velkovska, G. Vujanovic, X. -N. Wang, X. Wu, W. Zhao

― 6 min read


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Table of Contents

In the world of particle physics, researchers are always looking for ways to understand how particles behave during high-energy collisions. One exciting area of study involves "photon triggered Jets." So, what exactly does that mean? Well, let's break it down.

When particles collide at very high speeds, they can create a variety of outcomes, including jets. These jets are streams of particles that are produced as a result of the collision. A photon is a particle of light that can also be produced during these collisions. By studying the connection between these light particles (Photons) and the jets, scientists can gain insights into how matter behaves under extreme conditions.

What Are Jets and Photons?

To grasp what photon triggered jets are, we first need to understand jets and photons individually.

Jets

Imagine throwing a rock into a pond. The rock creates ripples that spread out, right? In particle physics, when heavy particles collide, they create jets in a similar way. These jets are made up of multiple particles flying out from the point of collision, much like ripples in water.

Photons

On the flip side, photons are the light particles that also come from these high-energy collisions. Think of them as tiny messengers that carry information about what happened during the smash-up. When scientists observe these photons, they can gather valuable data about the collision itself.

Why Study Photon Triggered Jets?

Now you might be wondering, why focus on photon triggered jets? Well, photons can tell us a lot about the environment in which the jets are formed. This is particularly important in collisions that happen in a special state of matter known as Quark-gluon Plasma. In this state, which can occur at extremely high energies, quarks and gluons (the building blocks of protons and neutrons) become free from their usual dance inside particles.

By studying the jets produced in conjunction with photons, researchers can learn about how the quark-gluon plasma behaves. This is crucial for understanding fundamental forces in nature!

The Role of Experiments

To observe photon triggered jets, scientists conduct experiments in large particle colliders. These machines smash atoms together at incredibly high energies. When the collisions happen, detectors around the collision point capture the particles produced, including jets and photons.

These detectors are like high-tech cameras that take snapshots of the chaotic aftermath of the collisions. Once the data is collected, researchers analyze it to understand the relationships between photons and jets.

Previous Research and Findings

In previous studies, scientists have examined how jets evolve when they pass through the quark-gluon plasma. They use computer simulations to recreate the conditions of these collisions and see how different factors affect the jets.

Researchers have found that including more types of photons, such as decay photons, in their studies leads to better agreement with experimental data. This means that even small contributions from various types of photons can help fine-tune their understanding of what’s happening during these collisions.

The Importance of Non-Prompt Photons

One fascinating aspect of photon triggered jets is the role of non-prompt photons, which are photons that are not produced directly from the initial collision. Instead, they can come from other processes, like when particles decay after the collision.

Researchers have discovered that these non-prompt photons significantly affect the observed jet properties, especially in certain kinematic regions. They add complexity to the data but also enhance the richness of information researchers can glean from the experiments.

The Multistage Model

To study jet behavior, scientists often employ what they call a multistage model. Think of it as a recipe with multiple steps, each affecting the final dish. The multistage model breaks down the evolution of the jets into phases, including:

  1. Initial Hard Scattering: This is where the high-energy smash occurs, producing the jets and photons.

  2. Medium Effects: After the collision, the jets travel through the quark-gluon plasma, and this medium can alter their properties.

  3. Final State Radiation: As jets evolve, they emit additional particles, including photons, which can affect their motions and distributions.

By analyzing each stage, researchers can better understand the complexities of how jets behave in these extreme environments.

Data Analysis and Machine Learning

Once the data is collected from experiments, it must be analyzed to extract meaningful insights. This is where machine learning comes into play.

Modern particle physics experiments generate massive amounts of data. Traditional analytical methods may struggle to find patterns in such vast datasets. However, machine learning techniques can help identify correlations and relationships between jets and photons more effectively.

Utilizing these advanced algorithms, scientists can gain a better understanding of the underlying physics of photon triggered jets.

Comparing Theoretical Models to Experimental Results

In any scientific endeavor, it is crucial to compare experimental results with theoretical predictions. This is where consistency becomes key.

Researchers use different models to predict how jets should behave based on the data collected. By comparing these predictions with what is seen in actual experiments, they can refine their models for better accuracy.

If discrepancies arise, it might indicate a need to revisit some assumptions or include additional variables in the models. This iterative process helps physics evolve and ensures that theories align closely with reality.

Photon-Triggered Jet Observables

When studying photon-triggered jets, physicists look at various observables, which are measurable quantities that can provide insights into the jets' behaviors. Some of the key observables include:

Jet Yield

This refers to the number of jets produced in a collision relative to the number of photons. Scientists analyze the yield to understand how different factors during the collision relate to the formation of jets.

Transverse Momentum Imbalance

This observable examines the imbalance between the momentum of the jet and the photon. It sheds light on how energy is distributed among the particles involved, revealing important information about their interactions.

Azimuthal Correlation

Azimuthal correlation looks at the angles between the photon and the jet. By studying these angles, researchers can learn about the dynamics of the collision and how jets emerge from it.

Challenges and Future Directions

Like many scientific pursuits, studying photon triggered jets comes with its challenges. The complexity of the data, the need for accurate simulations, and the inherent uncertainties in measurements can all complicate the analysis.

As researchers continue to refine their models and incorporate emerging data, they can overcome these challenges. Observables like jet substructure will be crucial to future studies, offering deeper insights into the underlying physics.

Conclusion

In summary, photon triggered jets offer a fascinating glimpse into the world of particle physics. By examining the relationship between jets and photons in high-energy collisions, researchers can better understand the fundamental processes that govern matter at extreme conditions.

Just as our understanding of light changes when it bounces off surfaces or travels through different media, the behavior of particles in these collisions can yield surprising results. The journey to grasp these complexities continues to unfold, driven by curiosity and the relentless pursuit of knowledge. So, the next time you see a photon—remember, it's not just a particle of light; it also plays a vital role in the cosmic dance of jets in the universe!

Original Source

Title: Hard Photon Triggered Jets in $p$-$p$ and $A$-$A$ Collisions

Abstract: An investigation of high transverse momentum (high-$p_T$) photon triggered jets in proton-proton ($p$-$p$) and ion-ion ($A$-$A$) collisions at $\sqrt{s_{NN}} = 0.2$ and $5.02~\mathrm{TeV}$ is carried out, using the multistage description of in-medium jet evolution. Monte Carlo simulations of hard scattering and energy loss in heavy-ion collisions are performed using parameters tuned in a previous study of the nuclear modification factor ($R_{AA}$) for inclusive jets and high-$p_T$ hadrons. We obtain a good reproduction of the experimental data for photon triggered jet $R_{AA}$, as measured by the ATLAS detector, the distribution of the ratio of jet to photon $p_T$ ($X_{\rm J \gamma}$), measured by both CMS and ATLAS, and the photon-jet azimuthal correlation as measured by CMS. We obtain a moderate description of the photon triggered jet $I_{AA}$, as measured by STAR. A noticeable improvement in the comparison is observed when one goes beyond prompt photons and includes bremsstrahlung and decay photons, revealing their significance in certain kinematic regions, particularly at $X_{J\gamma} > 1$. Moreover, azimuthal angle correlations demonstrate a notable impact of non-prompt photons on the distribution, emphasizing their role in accurately describing experimental results. This work highlights the success of the multistage model of jet modification to straightforwardly predict (this set of) photon triggered jet observables. This comparison, along with the role played by non-prompt photons, has important consequences on the inclusion of such observables in a future Bayesian analysis.

Authors: C. Sirimanna, Y. Tachibana, A. Majumder, A. Angerami, R. Arora, S. A. Bass, Y. Chen, R. Datta, L. Du, R. Ehlers, H. Elfner, R. J. Fries, C. Gale, Y. He, B. V. Jacak, P. M. Jacobs, S. Jeon, Y. Ji, F. Jonas, L. Kasper, M. Kordell, A. Kumar, R. Kunnawalkam-Elayavalli, J. Latessa, Y. -J. Lee, R. Lemmon, M. Luzum, S. Mak, A. Mankolli, C. Martin, H. Mehryar, T. Mengel, C. Nattrass, J. Norman, C. Parker, J. -F. Paquet, J. H. Putschke, H. Roch, G. Roland, B. Schenke, L. Schwiebert, A. Sengupta, C. Shen, M. Singh, D. Soeder, R. A. Soltz, I. Soudi, J. Velkovska, G. Vujanovic, X. -N. Wang, X. Wu, W. Zhao

Last Update: 2024-12-27 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2412.19738

Source PDF: https://arxiv.org/pdf/2412.19738

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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