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A New Method for Detecting Dark Matter

Scientists explore neutron detection for dark matter insights.

Koun Choi, Jong-Chul Park

― 5 min read


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Table of Contents

Dark matter is a mysterious substance that makes up a large part of the universe's mass. Scientists have been trying to understand it better, and one way is through experiments that use neutrinos and Neutrons. This article discusses a new approach to look for dark matter by using neutrons in large neutrino detectors.

What is Boosted Dark Matter?

Boosted dark matter (BDM) is a type of dark matter that is thought to gain energy from other processes, such as interactions with cosmic rays or astrophysical objects. Traditional searches have focused on more well-known particles like protons and electrons. However, this new method proposes using neutrons to detect dark matter.

Neutrons are neutral particles found in the nucleus of an atom. When dark matter interacts with these neutrons, it can cause them to be knocked out of their normal positions. This knocking out process can create signals that researchers can measure.

The Role of Water Cerenkov Detectors

Water Cerenkov detectors, like Super-Kamiokande, are large underground instruments that help detect particles like neutrinos. These detectors work by using water as a medium. When charged particles move through water faster than the speed of light in that medium, they emit Cerenkov light, which can be captured by sensors.

However, detecting certain types of signals can be challenging. For example, protons have a high energy threshold. To improve the detection capability, a small amount of Gadolinium can be added to the water. Gadolinium increases the chances of capturing neutrons, which helps in identifying the dark matter interactions.

Interaction of Dark Matter with Neutrons

Dark matter can interact with the neutrons found in oxygen atoms in water. When dark matter collides with a neutron, it can cause the neutron to be ejected from the nucleus. This is known as a quasi-elastic process. After the neutron is knocked out, the remaining nucleus may release energy in the form of rays.

These rays carry specific energy signatures that can be detected. A key aspect of this search strategy is to look for timing and spatial coincidences between the emitted rays and captured neutrons. Collecting this data can help reduce background noise, making it easier to find the dark matter signals.

The Importance of Neutron Signals

Past research has mainly concentrated on detecting protons, but the energy required to measure proton signals can be quite high. By focusing on neutron signals, which are easier to detect at lower energy levels, scientists can explore a broader range of dark matter models. This approach enhances the ability to identify lighter types of dark matter that previous methods may have missed.

Future Developments with Hyper-Kamiokande

Upcoming detectors, such as Hyper-Kamiokande, promise to take this research even further. Proposals suggest that adding gadolinium to these detectors will further enhance their sensitivity to dark matter interactions. Researchers expect that these new setups will allow for even more extensive searches than current technologies.

Understanding Dark Matter Models

The research involves various models of dark matter. One important model looks at two types of dark matter particles that interact with normal matter through a special particle called a gauge boson. These interactions can be studied to understand how dark matter behaves and what it might be made of.

Different scenarios are examined to see how these dark matter particles might signal their presence. For example, a model called "baryophilic dark matter" deals with interactions that could occur in regions where baryon number (a property of particles) plays a significant role.

The Detection Process

To detect dark matter signals from neutrons, researchers simulate different scenarios to see how these interactions would occur. They look for patterns in energy transfer and the resulting emissions from the interaction. By using advanced simulation tools, scientists can model what happens when dark matter interacts with bound neutrons and protons.

Once the signals are generated, they are analyzed to identify potential dark matter events. An important aspect of this is finding ways to distinguish real signals from background noise, which consists of other particles and events that could confuse the results.

Challenges and Improvements in Detection

Detecting dark matter signals is not without its challenges. The interaction modeling can be uncertain, and there are many variables to consider, such as the behavior of neutrons and how they interact with the water in the detectors. Future experiments aim to improve these models and reduce uncertainties.

Recent advances have included improving gadolinium concentrations in water, which increases neutron capture rates. New detection technologies that can better differentiate between dark matter interactions and background noise are also being explored.

Conclusion

Researching dark matter remains one of the most exciting and challenging areas in science. By focusing on neutron detection within neutrino detectors, scientists hope to uncover new insights into how dark matter interacts with ordinary matter.

This method has the potential to reveal a rich array of dark matter phenomena, especially among lighter dark matter models that have not received much attention until now. With ongoing improvements in detection technology and experimental designs, the future of dark matter research looks promising, and it may lead to significant breakthroughs in our understanding of the universe.

Original Source

Title: New Search for Dark Matter with Neutrons at Neutrino Detectors

Abstract: Large-volume neutrino experiments are ideal for testing boosted dark matter (BDM) scenarios. We propose, for the first time, an approach to utilize knockout neutrons by detecting de-excitation $\gamma$ rays and coincident captured neutrons from dark-matter interactions with bound neutrons in oxygen, while previous studies have focused on knockout-protons and electrons. This method is especially crucial for water \v{C}erenkov detectors, where high proton \v{C}erenkov threshold ($\sim$1 GeV) suppresses signal acceptance. Recently, Super-Kamiokande (SK) was doped with 0.03\% gadolinium (SK-Gd) to enhance neutron tagging efficiency. Using SK-Gd as a target experiment, we demonstrate that this method increases sensitivity to BDM models by an order of magnitude compared to proton-based analysis, and it allows exploration of a wider range of light dark-matter models previously inaccessible with proton-based analysis. We also present the projected sensitivity for the upcoming Hyper-Kamiokande detector.

Authors: Koun Choi, Jong-Chul Park

Last Update: Sep 9, 2024

Language: English

Source URL: https://arxiv.org/abs/2409.05646

Source PDF: https://arxiv.org/pdf/2409.05646

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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