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R-Parity Violating Supersymmetry and Neutrinos

Exploring R-parity violating SUSY and the role of neutrinos in our universe.

Arghya Choudhury, Sourav Mitra, Arpita Mondal, Subhadeep Mondal

― 6 min read


R-Parity Violation in R-Parity Violation in SUSY R-parity violating supersymmetry. Examining neutrinos and their role in
Table of Contents

Let’s start with the basics. Supersymmetry (SUSY) is a theory that tries to explain some mysteries of our universe, like why particles have mass. Now, R-parity is a rule in the SUSY world that says particles should behave in a certain way. Think of it like a strict dress code at a party: you either follow it or you don’t. When we talk about R-parity violating (RPV) SUSY, we’re talking about scenarios where the dress code is ignored, leading to some fascinating possibilities.

Why Should We Care?

You might be wondering, “Why should I care about particles?” Well, understanding how the universe works on a tiny scale can help us grasp the bigger picture, like why the sky is blue or why your coffee goes cold when you forget it on the table. Neutrinos, which are tiny particles involved in this SUSY drama, have been shown to oscillate. This means they can change from one type to another, acting like a magician at a party!

The Neutrino Mystery

From various experiments, there’s strong evidence that neutrinos have some weight, which is a shocker since they’re known for being elusive little things. Imagine throwing a feather into a hurricane; the feather is like a neutrino: it’s there, but you won’t catch it easily. These experiments show that at least two of these little guys must have mass, and they mix with each other.

Our Goal: Finding Out More

The main aim is to find out how these sneaky neutrinos can fit into RPV SUSY. We’re interested in seeing what happens when we let some of the rules slide and allow certain interactions that break the R-parity dress code.

The Setup

To dig deeper into our neutrino and SUSY situation, we used some fancy statistical methods, specifically Markov Chain Monte Carlo (MCMC). This is essentially a super-sophisticated way of guessing where things might be, based on a lot of math and some educated guesses. Think of it as being on a treasure hunt with a map that keeps updating itself based on where you’ve been.

The Parameters We’re Playing With

In this game, we have some important players: different types of interactions (like lepton number violating interactions), and various SUSY parameters. Some of these parameters are like the rules of Monopoly: if you land on the wrong spot, you’re going to jail.

By studying these parameters, we can create maps (or graphs) that tell us where the neutrinos and SUSY particles might fit, and what their interactions look like.

Digging into the Data

While we tried to piece together our neutrino puzzle, we looked at the results from neutrino oscillation experiments, the properties of the Higgs Boson (another key player in this particle drama), and some Decay Processes related to B-mesons. The information gathered gives us a clearer picture of how these particles interact, or don’t, when the rules change.

Collider Constraints: The Party Bouncers

Another interesting twist is the rules set by colliders like the LHC (Large Hadron Collider). These colliders are like the security guards at the party. They have their own rules about what can enter and leave, which means they give us limits on which SUSY particles can exist, based on their interactions. If a SUSY particle doesn’t obey the collider rules, it gets kicked out of the party!

Analyzing Different Scenarios

To cover all bases, we looked at two scenarios where the lightest SUSY particle (LSP) could be either a bino or a stop. You can think of the bino like a shy person at the party, while the stop is the life of the party-both are fun, but they attract attention in different ways.

The Bino Model: A Quiet Approach

In the bino scenario, we focused on certain types of interactions that respect the rules while still allowing some violation. By adjusting our parameters, we tried to fit the neutrino data into the model.

However, it turns out that just a couple of types of interactions weren’t enough to explain everything. It was like trying to bake a cake with only flour; you need eggs, sugar, and some frosting to make it delicious!

The Stop Model: A Lively Twist

Next, we considered the stop scenario, which had more parameters to play with. This model proved to be somewhat more flexible, allowing for various interactions while still respecting the collider limits.

In this case, the results were like discovering a hidden talent at a party: the stop had some tricks up its sleeve that linked back to neutrino masses.

Back to the Future: What’s Next?

Now that we have our findings, we can think about future experiments. The goal is to design new tests that can search for these particles while keeping in mind the limits set by our previous studies.

By understanding these dimensions, we can start to grasp how these particles operate and contribute to the bigger picture of the universe.

The Collider: Where the Action Happens

Remember the LHC? Well, that’s where all the cool stuff happens! It’s like a cosmic wrestling match, where different particles collide at incredibly high speeds. These collisions give us clues about the different types of particles and their properties.

Keeping Track of Everything

As we analyze the data coming out of the collider experiments, we need to ensure that we keep track of how different SUSY particles might behave under varying conditions. It’s like checking the weather before heading to the beach; if you don’t prepare, you might get caught in a storm!

Looking for New Signs

We discussed possible signals that could indicate the presence of SUSY and RPV interactions. Possible outcomes like specific decay channels or particle interactions could provide insight into the workings of SUSY.

If we see something unusual at the collider, it might point us towards a new discovery in particle physics.

Climbing Up the Ladder of Knowledge

With every new piece of information, we climb a little higher up the ladder of understanding. By analyzing the results from RPV models, we can refine our theories and improve precision in future experiments.

This continuous cycle of testing and learning is what makes physics so exciting!

Conclusion: A World of Possibilities

So, what have we learned? R-parity violating SUSY opens up a world of possibilities. By examining neutrino oscillation and different SUSY scenarios, we gain valuable insight into the fundamental workings of our universe.

As researchers push forward, we can expect new discoveries that might one day solve some of the greatest mysteries in physics. Who knows? Just like a magic trick, the answers could be hiding in plain sight, waiting for the right moment to reveal themselves!

Original Source

Title: An MCMC analysis to probe trilinear RPV SUSY scenarios and possible LHC signatures

Abstract: In this article, we probe the trilinear R-parity violating (RPV) supersymmetric (SUSY) scenarios with specific non-zero interactions in the light of neutrino oscillation, Higgs, and flavor observables. We attempt to fit the set of observables using a state-of-the-art Markov Chain Monte Carlo (MCMC) set-up and study its impact on the model parameter space. Our main objective is to constrain the trilinear couplings individually, along with some other SUSY parameters relevant to the observables. We present the constrained parameter regions in the form of marginalized posterior distributions on different two-dimensional parameter planes. We perform our analyses with two different scenarios characterized by our choices for the lightest SUSY particle (LSP), bino, and stop. Our results indicate that the lepton number violating trilinear couplings $\lambda_{i33}$ ($i$=1,2) and $\lambda_{j33}^{\prime}$ ($j$=1,2,3) can be at most of the order of $10^{-4}$ or even smaller while $\tan\beta$ is restricted to below 15 even when $3\sigma$ allowed regions are considered. We further comment on the possible LHC signatures of these LSPs focusing on and around the best-fit regions.

Authors: Arghya Choudhury, Sourav Mitra, Arpita Mondal, Subhadeep Mondal

Last Update: 2024-11-12 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2411.08112

Source PDF: https://arxiv.org/pdf/2411.08112

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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