Skip to main content

first-search-sueps-13-tev-cms-collider

Soft Unclustered Energy at 13 TeV: A First Search in Proton-Proton Collisions

Introduction to Hidden Valley Models and SUEPs

Researchers from the CMS experiment searching for soft unclustered energy patterns (SUEPs) in proton–proton collisions at CERN.

Many physics studies aim to experimentally uncover exotic phenomena extending beyond the Standard Model (SM), as outlined by theoretical frameworks. Among these are hidden valley models, which propose a dark sector where particles interact via a strong, dark force. These models predict particles and interactions with unique decay characteristics.

CMS Collaboration's Groundbreaking Search for SUEPs

In a recent publication in Physical Review Letters, researchers from the CMS (Compact Muon Solenoid) collaboration at CERN reported the results of the first search for soft unclustered energy patterns (SUEPs), a unique signal predicted by hidden valley models in high-energy particle collisions.

SUEPs and Their Role in Extending the Standard Model

"SUEPs belong to a broader class of theories aimed at extending the Standard Model to address unresolved phenomena in universe, such as dark matter and matter-antimatter asymmetry," said Luca Lavezzo of the CMS search team in an interview with Phys.

Theoretical Foundations of Hidden Valley Models

Specifically, these phenomena are among the predictions derived from hidden valley theories. Introduced nearly two decades ago by Matt Strassler and Kathryn Zurek, these theories propose a "Dark Sector" distinct from the Standard Model, characterized by its own strong, confining force, analogous to the Standard Model's strong force that binds quarks and gluons into hadrons such as protons and neutrons.

Challenges in Validating Hidden Valley Predictions

Many of the fascinating predictions made by hidden valley models have yet to undergo experimental validation. When these theories were first proposed, the technological limitations of the time rendered searches for the predicted dark sectors impractical, deferring such efforts to future studies.

Revisiting Hidden Valley Theories with Colliders

"Several years ago, as interest in investigating complex dark sectors grew within the scientific community, theorists and experimentalists revisited the unusual predictions of hidden valley theories, realizing that some could now be explored using colliders," said Lavezzo.

New Search Strategies for SUEPs and Other Phenomena

Soft unclustered energy patterns (SUEPs), semivisible jets, and emerging jets represent the initial set of searches aimed at validating specific predictions from hidden valley models, all published within the last few years.

Characterizing SUEPs in High-Energy Collisions

Hidden valley models suggest that high-energy particle collisions might produce distinct signatures, such as SUEPs, characterized by numerous low-momentum particles arranged in a spherical pattern within particle colliders like those used in the CMS experiment.

Challenges in Identifying SUEPs in Collider Events

"This is a highly distinct signature compared to Standard Model predictions. However, identifying a SUEP in a typical collider event is challenging due to the presence of several dozen simultaneous collisions, each generating numerous low-energy particles," Lavezzo explained.

Refining Trigger Mechanisms to Capture SUEP Events

"Additionally, our trigger mechanismscriteria determining which protonproton collisions are deemed noteworthy—are specifically configured to capture events involving high-energy particles, making it challenging to select those with naturally low energy."

New Strategies in Search of SUEPs

To overcome the challenges that hindered previous searches for these particles, the CMS Collaboration first ensured that the particle responsible for generating a SUEP—acting as the 'Portal' between the Standard Model and Hidden Valley models—recoiled against an SM particle, specifically a jet in their experiment. This recoil results in an event where both particles exhibit substantial yet balanced energy, enabling the event to be triggered on the SM jet.

Differentiating Between SUEPs and Standard Model Jets

"By employing this strategy, the SUEP's structure shifts from a spherical pattern to one resembling a broader version of an SM jet—s shower of particles from a quark," explained Lavezzo.

Challenges in Comparing Predictions to Experimental Observations

"The challenge now is to differentiate between SM jets and SUEPs. However, obtaining reliable predictions through our traditional methods proves difficult in these complex environments and events, which is essential for comparing our measurements to theoretical models and determining if there is any evidence of SUEPs or if the observations align with Standard Model expectations."

Innovative Methods for Estimating SM Contributions

The CMS collaboration chose to estimate the contribution of SM events directly from the data they gathered during their search. This was done by utilizing the extended-ABCD method, a method that helps assess the SM contribution in the signal region.

Successful Exclusion of SUEP Theorie's Phase Space

"We are the first team to conduct a search for SUEPs at colliders, and we successfully excluded a significant portion of the available phase space for SUEP theories. Additionally, we've established a set of methods that we hope will be further developed in future studies," stated Lavezzo. "The response from theorists, including Matt Strassler who originally proposed SUEPs, was incredibly positive. They were excited about our experimental findings, as it opens the door for testing more hypotheses."

Future Directions and Open Questions in SUEP Research

The recent search undertaken by this research group has provided new constraints that will inform future strategies for detecting SUEPs in particle colliders. Hidden Valley models suggest that SUEPs should be fully visible, meaning that all dark sector particles decay to Standard Model particles. However, this assumption may not necessarily apply.

The Possibility of Stable, Undetectable, SUEPs

"SUEPs may decay into the Standard Model after a certain lifespan, or some could remain stable and undetectable, leading to distinct signatures that previous searches might have missed," explained Lavezzo. "Further focused searches could be conducted in areas where our approach was not optimized; notably, low-mass portals remain largely unconstrained.

Source


"Stay ahead of groundbreaking discoveries in particle physics. Subscribe for more updates on SUEPs, dark sector theories, and collider research."

Comments

Popular posts from this blog

fractal universe cosmic structure mandelbrot

Is the Universe a Fractal? Unraveling the Patterns of Nature The Cosmic Debate: Is the Universe a Fractal? For decades, cosmologists have debated whether the universe's large-scale structure exhibits fractal characteristics — appearing identical across scales. The answer is nuanced: not entirely, but in certain res pects, yes. It's a com plex matter. The Vast Universe and Its Hierarchical Structure Our universe is incredibly vast, com prising a p proximately 2 trillion galaxies. These galaxies are not distributed randomly but are organized into hierarchical structures. Small grou ps ty pically consist of u p to a dozen galaxies. Larger clusters contain thousands, while immense su perclusters extend for millions of light-years, forming intricate cosmic  patterns. Is this where the story comes to an end? Benoit Mandelbrot and the Introduction of Fractals During the mid-20th century, Benoit Mandelbrot introduced fractals to a wider audience . While he did not invent the conce pt —...

Quantum neural algorithms for creating illusions

Quantum Neural Networks and Optical Illusions: A New Era for AI? Introduction At first glance, optical illusions, quantum mechanics, and neural networks may appear unrelated. However, my recent research in APL Machine Learning Leverages "quantum tunneling" to create a neural network that perceives optical illusions similarly to humans. Neural Network Performance The neural network I developed successfully replicated human perception of the Necker cube and Rubin's vase illusions, surpassing the performance of several larger, conventional neural networks in computer vision tasks. This study may offer new perspectives on the potential for AI systems to approximate human cognitive processes. Why Focus on Optical Illusions? Understanding Visual Perception O ptical illusions mani pulate our visual  perce ption,  presenting scenarios that may or may not align with reality. Investigating these illusions  provides valuable understanding of brain function and dysfunction, inc...

Theory Quantum Mechanics Gravity Fifth Dimension

Quantum Theory vs Relativity: A Classical Five-Dimensional Approach to Unifying Physics Quantum mechanics and Albert Einstein's general theory of relativity stand as two towering achievements of modern science. Each has proven remarkably successful within its own territory: quantum theory governs the behaviour of particles and atoms , while general relativity explains gravity and the very fabric of space and time . Yet, after decades of intense research, physicists still lack a convincing framework that unites these two pillars into a single, coherent description of the universe . Related science coverage : Physics and cosmology updates Why Quantum Mechanics and Gravity Remain Unreconciled Most mainstream attempts assume that gravity itself must be treated as a quantum phenomenon . The late physicist Richard Feynman famously warned that accepting quantum mechanics without quantizing gravity would leave physics in serious difficulty. However, quantum theory carries unresolved ...