• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Scientists Test Asymmetry Between Matter and Antimatter

Scientists Test Asymmetry Between Matter and Antimatter

© iStock

An international team, including scientists from HSE University, has collected and analysed data from dozens of experiments on charm mixing—the process in which an unstable charm meson oscillates between its particle and antiparticle states. These oscillations were observed only four times per thousand decays, fully consistent with the predictions of the Standard Model. This indicates that no signs of new physics have yet been detected in these processes, and if unknown particles do exist, they are likely too heavy to be observed with current equipment. The paper has been published in Physical Review D.

Immediately after the Big Bang, matter and antimatter should have formed in equal amounts and annihilated each other in perfect symmetry. Yet the universe has persisted, made up almost entirely of matter—evidence that this symmetry was somehow broken. The cause remains unknown. The Standard Model, the main theory of particle physics, describes the properties of elementary particles and has been confirmed by numerous experiments, but it does not explain the disappearance of antimatter. To search for answers, physicists study the weak interaction, a process in which particles can transform into their antiparticles and back. These transformations are especially sensitive to symmetry violations, making them a convenient tool for testing the limits of the Standard Model.

UTfit, an international team including researchers from HSE University, has carried out the most comprehensive analysis of these processes to date, combining data from dozens of experiments. This includes new results from the LHCb detector at the Large Hadron Collider and Japan’s Belle II experiment, both of which record rare particle decays under different conditions. The scientists focused on charmed mesons—short-lived particles that can spontaneously transform into their antiparticles and back, making them a useful tool for detecting even the slightest differences between matter and antimatter. If such transformations showed even a tiny asymmetry between particles and antiparticles, it would suggest the existence of previously unknown particles or interactions. To process the data, the researchers used a Bayesian approach with Markov chains, which made it possible to account for both statistical and systematic errors and to combine diverse experiments into a single coherent picture.

The results show that meson-to-antimeson transformations are extremely rare—occurring in only about four out of every thousand decays—and that the difference in decay rates between particles and antiparticles is roughly six per thousand. These values align perfectly with the predictions of the Standard Model. The observed CP violation—the very asymmetry between matter and antimatter—is far too small to account for the disappearance of antimatter from the universe.

However, even when no anomalies are detected, such studies help refine the boundaries within which the Standard Model holds and allow researchers to estimate the possible properties of hypothetical new physics. The analysis indicates that if new particles do exist, they must be so heavy that their effects are almost imperceptible at the current level of precision. In other words, such effects could only appear at energy scales that today’s colliders cannot yet reach.

Denis Derkach

'The heavier a hypothetical particle, the weaker its contribution to observed processes at accessible energies,' explains Denis Derkach, Head of the Laboratory of Methods for Big Data Analysis at the AI and Digital Science Institute of the HSE FCS. 'We combined data from dozens of experiments and found that all results remain consistent with the Standard Model. This suggests that if new physics exists, its particles are so heavy that their influence on these processes is nearly undetectable. Noticing even such faint effects will require further accumulation of data and continued improvements in measurement precision.'

See also:

Resource Race and Green Transition: Three Unexpected Conclusions from Foresight Centre’s Research on Climate and Poverty

Beneath the surface of green energy—which most people associate with solar panels, electric vehicles, and reduced CO2 emissions—lies a complex web of geopolitical interests, international inequality, and resource constraints. Researchers from the Laboratory for Science and Technology Studies (LST) at the HSE ISSEK Foresight Centre have published a series of articles in leading international journals on hidden and overt conflicts surrounding critically important metals and minerals, as well as related processes in the energy sector.

Immersion in Second Language Environment Influences Bilinguals’ Perception of Emotions

Researchers at the Cognitive Health and Intelligence Centre at the HSE Institute for Cognitive Neuroscience have discovered how bilingual individuals process emotional words in their native (first) and non-native (second) languages. It was found that the link between word meaning and bodily sensations is weaker in a second language than in a first language. However, the more a person is immersed in a language environment, the smaller this difference becomes. The article has been published in Language, Cognition and Neuroscience.

HSE Students Among Winners of Yandex High-Tech Startup Accelerator

Yandex has announced the results of its Yandex AI Startup Lab accelerator, whose final round featured 12 IT projects. Over the course of three months, their creators—students and young entrepreneurs—worked alongside the company’s experts to develop their products. Four startups in digital marketing, medicine, and robotics were named the best, with their teams receiving cash prizes and cloud resource grants. Among them was Gradius, a startup founded by students from HSE University.

Researchers Find More Effective Approach to Revealing Majorana Zero Modes in Superconductors

An international team of researchers, including physicists from HSE MIEM, has demonstrated that nonmagnetic impurities can help more accurately reveal Majorana zero modes—quantum states considered promising building blocks for quantum computing. The researchers found that these impurities shift the energy levels that typically obscure the Majorana signal, while leaving the mode itself largely unaffected, thereby making its spectral peak more distinct. The study has been published in Research.

New Development by HSE Scientists Helps Design Reliable Electronics Faster at a Lower Cost

Scientists from HSE MIEM have developed a new approach to modelling electrothermal processes in high-power electronic circuits on printed circuit boards (PCB). The method allows engineers to quickly and accurately predict how electronic components heat up during operation, helping prevent overheating and potential failures. The results have been published in Russian Microelectronics.

The Future of Cardiogenetics Lies in Artificial Intelligence

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a program capable of analysing regions of the human genome that were previously inaccessible for accurate interpretation in genetic testing. The program adapts large generative AI (GenAI) models for cardiogenetics to predict how specific mutations affect the function of individual genes.

HSE Researchers: Young Russians Have Sufficient Knowledge About Money but Lack Money Management Skills

Adolescents and young adults in Russia today are well versed in financial terminology: they know what bank cards, loans, interest rates, and online payments are. However, as researchers at HSE University have found, real money-management skills remain poorly developed among most young people. The study ‘Financial Literacy, Financial Culture, and Financial Autonomy of Youth’ has been published in Monitoring of Public Opinion: Economic and Social Changes.

Why Weaker Competitors Give Up—and How to Keep Them in the Game

Anastasia Antsygina, Assistant Professor at HSE University’s Faculty of Economic Sciences, has developed a prize distribution model that maximises competitor engagement. She proposed revising the traditional ‘winner-takes-all’ approach and, in certain cases, offering a small reward even to those who have lost. According to her, this could increase participant motivation and make the competition more intense. The findings of her research were published in the Economic Theory journal.

HSE Researchers Compile Scientific Database for Studying Children’s Eating Habits

The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.

New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind

A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.