November 22, 2024

Electrons Set the Stage for Neutrino Experiments – Solving Mystery of the Origins of Our Matter-Dominated Universe

” There is this phenomenon of neutrinos altering from one type to another, and this phenomenon is called neutrino oscillation. Its interesting to study this phenomenon, due to the fact that it is not well comprehended,” said Mariana Khachatryan, a co-lead author on the study who was a graduate trainee at Old Dominion University in Professor and Eminent Scholar Larry Weinsteins research study group when she contributed to the research. She is now a postdoctoral research associate at Florida International University.
One way to study neutrino oscillation is to build gigantic, ultra-sensitive detectors to measure neutrinos deep underground. Physicists can use that information to tease out information about the neutrinos.
” The way that neutrino physicists are doing that is by measuring all particles coming out of the interaction of neutrinos with nuclei and rebuilding the inbound neutrino energy for more information about the neutrino, its oscillations, and to determine them really, really precisely,” described Adi Ashkenazi. Ashkenazi is the research studys contact author who dealt with this job as a research study scholar in Professor Or Hens research group at the Massachusetts Institute of Technology. She is now a senior lecturer at Tel Aviv University.
” The detectors are made from heavy nuclei, and the interactions of neutrinos with these nuclei are in fact very complex interactions,” Ashkenazi stated. “Those neutrino energy restoration approaches are still extremely tough, and it is our work to improve the models we utilize to describe them.”
These methods consist of modeling the interactions with a theoretical simulation called GENIE, enabling physicists to infer the energies of the inbound neutrinos. GENIE is an amalgam of lots of designs that each assistance physicists replicate specific aspects of interactions in between nuclei and neutrinos. Given that so little is learnt about neutrinos, its challenging to straight check GENIE to ensure it will produce both precise and high-precision arise from the brand-new data that will be supplied by future neutrino experiments, such as the Deep Underground Neutrino Experiment (DUNE) or Hyper-Kamiokande.
To evaluate GENIE, the group relied on a modest particle that nuclear physicists understand a lot more about: the electron.
” This makes use of the similarities in between neutrinos and electrons. We are using electron research studies to verify neutrino-nucleus interaction models,” stated Khachatryan.
Neutrinos and electrons have lots of things in typical. They both belong to the subatomic particle household called leptons, so they are both elementary particles that arent impacted by the strong force.
In this research study, the group utilized an electron-scattering version of GENIE, dubbed e-GENIE, to evaluate the same incoming energy reconstruction algorithms that neutrino researchers will use. Instead of utilizing neutrinos, they utilized current electron results.
” Electrons have been studied for years, and the beams of the electrons have very exact energies,” said Ashkenazi. “We know their energies. And when we are trying to reconstruct that inbound energy, we can compare that to what we understand. We can evaluate how well our approaches work for different energies, which is something you cant do with neutrinos.”
The input data for the research study originated from experiments carried out with the CLAS detector at Jefferson Labs Continuous Electron Beam Accelerator Facility, a DOE user center. CEBAF is the worlds most innovative electron accelerator for probing the nature of matter. The team used information that straight mirrored the simplest case to be studied in neutrino experiments: interactions that produced a proton and an electron (vs. a muon and a proton) from nuclei of helium, carbon and iron. These nuclei resemble products used in neutrino experiment detectors.
Even more, the group worked to make sure that the electron version of GENIE was as parallel as possible to the neutrino variation.
” We utilized the exact very same simulation as used by neutrino experiments, and we utilized the very same corrections,” explained Afroditi Papadopoulou, co-lead author on the study and a graduate trainee at MIT who is also in Hens research study group. “If the design doesnt work for electrons, where we are discussing the most streamlined case, it will never work for neutrinos.”
Even in this most basic case, precise modeling is vital, due to the fact that raw data from electron-nucleus interactions normally rebuild to the right inbound electron beam energy less than half the time. A great model can represent this impact and fix the data.
However, when GENIE was used to design these information occasions, it carried out even worse.
” This can predisposition the neutrino oscillation outcomes. Our simulations must have the ability to reproduce our electron data with its recognized beam energies prior to we can trust they will be accurate in neutrino experiments,” said Papadopoulou.
Khachatryan concurred.
” The result is in fact to point out that there are elements of these energy restoration techniques and designs that need to be improved,” stated Khachatryan. “It also shows a path to accomplish this for future experiments.”
The next step for this research is to evaluate particular target nuclei of interest to neutrino researchers and at a wider spectrum of inbound electron energies. Having these particular results for direct contrast will help neutrino researchers in fine-tuning their designs.
According to the research study group, the goal is to accomplish broad arrangement in between models and data, which will help guarantee DUNE and Hyper-Kamiokande can achieve their anticipated high-precision results.
Recommendation: “Electron Beam Energy Reconstruction for Neutrino Oscillation Measurements” 24 November 2021, Nature.DOI: 10.1038/ s41586-021-04046-5.

Neutrinos connecting with nuclei. Credit: DOEs Jefferson Lab
Early-career nuclear physicists show that a much better understanding of how neutrinos communicate with matter is required to maximize upcoming experiments.
Neutrinos may be the secret to lastly solving a mystery of the origins of our matter-dominated universe, and preparations for 2 significant, billion-dollar experiments are underway to reveal the particles secrets. Now, a team of nuclear physicists have actually turned to the simple electron to offer insight for how these experiments can much better prepare to record important info. Their research, which was carried out at the U.S. Department of Energys Thomas Jefferson National Accelerator Facility and recently published in Nature, reveals that major updates to neutrino models are needed for the experiments to attain high-precision outcomes.
Neutrinos are ubiquitous, created in generous numbers by stars throughout our universe. Widespread, these shy particles seldom communicate with matter, making them extremely hard to study.

” There is this phenomenon of neutrinos changing from one type to another, and this phenomenon is called neutrino oscillation. One method to study neutrino oscillation is to build gigantic, ultra-sensitive detectors to measure neutrinos deep underground.” The method that neutrino physicists are doing that is by determining all particles coming out of the interaction of neutrinos with nuclei and reconstructing the incoming neutrino energy to learn more about the neutrino, its oscillations, and to measure them really, extremely precisely,” described Adi Ashkenazi. Since so little is known about neutrinos, its tough to directly evaluate GENIE to guarantee it will produce both accurate and high-precision results from the brand-new information that will be provided by future neutrino experiments, such as the Deep Underground Neutrino Experiment (DUNE) or Hyper-Kamiokande.
The group utilized data that directly mirrored the simplest case to be studied in neutrino experiments: interactions that produced an electron and a proton (vs. a muon and a proton) from nuclei of helium, carbon and iron.