Is Pulsar Light the Key to Solving the Dark Matter Mystery?

New research explores the possibility that dark matter is composed of theoretical particles called axions, and focuses on detecting them through additional light from pulsars. Although axions have not yet been confirmed in early observations, this research is critical to understanding dark matter.

A central question in the ongoing search for dark matter is: What is dark matter made of? One possible answer is that dark matter is made up of particles known as axions. A recent study by astrophysicists at the University of Amsterdam and Princeton University suggests that if dark matter is indeed made of axions, it could manifest itself in the form of subtle additional glow emanating from pulsating stars.

Dark matter may be the most sought-after building block in our universe. Remarkably, this mysterious form of matter, so far undetectable by physicists and astronomers, is thought to make up a huge portion of what exists on Earth. It is suspected that more than 85% of the matter in the universe is “dark”, and at the moment it is only recognized by the gravitational force it exerts on other celestial bodies. Naturally, scientists want to look directly detect its existence rather than just inferring it from gravitational effects. And of course they want to know what of course, solve two problems One thing is clear: dark matter cannot be the same kind of matter that makes up you and me. If so, dark matter would simply behave like ordinary matter. Dark matter will form star-like objects, will glow, and will no longer be “dark.” So scientists are looking for something new, a type of particle that no one has detected yet, and perhaps one that only interacts very weakly with the types of particles we know about.

One common hypothesis is that dark matter may be made of: Axion. This hypothetical type of particle was first introduced in the 1970s when he solved a problem that had nothing to do with dark matter. The separation of positive and negative charges inside a neutron, one of the building blocks of a normal atom, turns out to be unexpectedly small. Of course, scientists wanted to know why. It turns out that the presence of a previously undetected type of particle that interacts very weakly with components of neutrons can cause just such an effect. Frank Wilczek, who later won the Nobel Prize, came up with the name for this new particle. Axion – as well as similar to another particle name such as protons, neutrons, and electrons. photon, but it’s also inspired by the laundry detergent of the same name. Axion existed to solve problems. In fact, it might clean up the two even if it’s not detected. Several theories about elementary particles, including string theory, one of the leading candidate theories for unifying all the forces in nature, seem to predict the possibility of axion-like particles.

Fortunately, there appears to be a way out of this conundrum for axions. If the theory predicting axions is correct, not only would axions be expected to be produced in large quantities in the universe, but some axions could also be converted to light in the presence of strong electromagnetic fields. If there is light, we can see. Could this be the key to detecting axions and, by extension, dark matter? To answer this question, scientists first had to ask themselves where in the universe the strongest known electric and magnetic fields occur. The answer is known in the region around rotating neutron stars. pulsar. These pulsars (short for “pulsating stars”) are dense objects with a mass about the same as the Sun, but a radius about 100,000 times smaller, or only about 10 km. Because pulsars are so small, they rotate at enormous frequencies and emit bright, narrow beams of radio radiation along their axis of rotation. Just like a lighthouse pulsarThe beam can sweep across the Earth, making it easy to observe the pulsating star. But the pulsar’s massive rotation does more than that. it is, neutron star It turns into a very powerful electromagnet. That could mean Pulsar is a highly efficient axion factory. The average pulsar can produce 50 orders of magnitude axions per second. Because of the strong electromagnetic fields surrounding pulsars, some of these axions can be converted into observable light.

As always in science, carrying out such observations in practice is, of course, not so easy. The light emitted by axions (which can be detected in the form of radio waves) is only a fraction of the total light these bright cosmic lighthouses send back to us. Much less can we quantify the difference and turn it into a measurement of the amount of dark matter. This is exactly what a team of physicists and astronomers are currently doing. Through a collaboration between the Netherlands, Portugal, and the United States, the research team has uncovered details about how axions are created, how axions escape the neutron star’s gravity, and…

First observational tests were performed on the theory and simulation results…referencesystem, simulate a subtle glow

Next, first observational tests were performed on the theory and simulation results…referencesystem to show that it is very unlikely that axions are a component of…s

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Source: scitechdaily.com

Active Matter Theory sheds new light on longstanding biological enigmas

November 22, 2023A team of scientists has developed a new algorithm to solve theoretical equations for active materials, deepening our understanding of living materials. This research is of vital importance in biology and computational science, paving the way for new discoveries in cell morphology and the creation of artificial biological machines. Advanced open-source supercomputer algorithms predict the patterns and dynamics of living matter and enable exploration of its behavior across space and time. Biological materials are made up of individual components, such as tiny motors that convert fuel into motion. This process creates a pattern of movement, guiding the shape of the material itself through a consistent flow driven by constant energy consumption. Such permanently driven substances are called “active substances.”

How cells and tissues work can be explained by active matter theory, a scientific framework for understanding the shape, flow, and form of living matter. Active matter theory consists of many difficult mathematical equations. Scientists from Dresden’s Max Planck Institute for Molecular Cell Biology and Genetics (MPI-CBG), the Dresden Center for Systems Biology (CSBD), and the Dresden University of Technology have developed an algorithm implemented in open-source supercomputer code. For the first time, you can solve active matter theory equations in realistic scenarios. These solutions bring him a big step closer to solving his century-old mystery of how cells and tissues acquire their shape, and to designing artificial biological machines. 3D simulation of active substances in a dividing cell-like geometry. Credit: Singh et al. Physics of Fluids (2023) / MPI-CBG

Biological processes and behaviors are often highly complex. Physical theory provides a precise and quantitative framework for understanding physical theories. Active matter theory provides a framework for understanding and explaining the behavior of active substances, which are materials made up of individual components that can convert chemical fuels (“food”) into mechanical forces. The development of this theory was led by several Dresden scientists, including Frank Uricher, director of the Max Planck Institute for Complex Systems Physics, and Stefan Grill, director of MPI-CBG. These physical principles allow us to mathematically describe and predict the dynamics of active organisms. However, these equations are very complex and difficult to solve. Therefore, scientists need the power of supercomputers to understand and analyze living matter. There are various ways to predict the behavior of active materials, including by focusing on small individual particles, by studying active materials at the molecular level, and by studying active fluids on a larger scale. These studies help scientists understand how active substances behave at different scales in space and time. Scientist in the research group of Dresden University of Technology Ivo Sbalzarini Professor at the Dresden Center for Systems Biology (CSBD), research group leader at the Max Planck Institute molecular cell The Dean of the Department of Biology and Genetics (MPI-CBG) and Computer Science at the Technical University of Dresden has now developed a computer algorithm to solve the active substance equation. Their research was published in the journal fluid physics and it appeared on the cover. They present an algorithm that is capable of solving complex equations for active materials in three-dimensional and complex-shaped spaces.

“Our approach can handle a variety of shapes in three dimensions over time,” says research mathematician Abhinav Singh, one of the study’s first authors. He continued, “Even when the data points are not regularly distributed, our algorithm employs a novel numerical approach that works seamlessly for complex biologically realistic scenarios, and the theoretical equations Using our approach, we can finally understand the long-term behavior of active materials in both mobile and non-mobile scenarios in order to predict dynamic scenarios. Additionally, theory and simulation can be used to program biological materials and create engines at the nanoscale to extract useful work.” The other first author, Philipp Suhrcke, holds a master’s degree in computational modeling and simulation from the Technical University of Dresden. “Thanks to our research, scientists can predict, for example, the shape of tissues and when biological materials will become unstable or dysregulated, leading to growth and disease. This has far-reaching implications for our understanding of mechanisms.”

The scientists implemented the software using the open source library OpenFPM. This means that others can use it freely. OpenFPM was developed by his Sbalzarini group to democratize large-scale scientific and technical computing. The authors first developed a custom computer language that allows computational scientists to write code for a supercomputer by specifying mathematical formulas that let the computer do the work of writing the correct program code. As a result, you no longer have to start from scratch every time you write code, effectively reducing code development time in scientific research from months or years to days or weeks, greatly increasing productivity.

Because the study of three-dimensional active materials has significant computational demands, using OpenFPM the new code is scalable on shared and distributed memory multiprocessor parallel supercomputers. This application is designed to run on powerful supercomputers, but can also be run on regular office computers to study 2D materials. Ivo Sbalzarini, the study’s lead researcher, summarizes: All this has been integrated into a tool for understanding her three-dimensional behavior of living matter. Our code, which is open source, scalable, and able to handle complex scenarios, opens new avenues in active materials modeling. This could ultimately lead to an understanding of how cells and tissues acquire their shape, addressing fundamental questions in morphogenesis that have puzzled scientists for centuries. There is a gender. But it may also be useful for designing artificial biological machines with minimal components.

References: “Numerical solver for three-dimensional active fluid dynamics and its application to active turbulence” by Abhinav Singh, Philipp H. Suhrcke, Pietro Incardina, and Ivo F. Sbalzarini, October 30, 2023. fluid physics. DOI: 10.1063/5.0169546 This research was funded by the Federal Ministry of Education and Research (Bundesministerium f€ur Bildung und Forschung, BMBF), the Federal Center for Scalable Data Analysis and Artificial Intelligence, ScaDS.AI, and Dresden/Leipzig. The computer code supporting the results of this study is publicly available in the 3Dactive-hydynamics github repository at: https://github.com/mosaic-group/3Dactive-hydrodynamic sThe open source framework OpenFPM is available at: https://github.com/mosaic-group/openfpm_pdataRelated publications for embedded computer languages https://doi.org/10.1016/j.cpc.2019.03.007https://doi.org/10.1140/epje/s10189-021-00121-x (function (d, s, id) {var js, fjs = d.getElementsByTagName (s) [0]; if (d.getElementById (id)) return; js = d.createElement (s); js.id = id; js.src = “https://connect.facebook.net/en_US/sdk.js#xfbml=1&version=v2.6”; fjs.parentNode.insertBefore (js, fjs); } (document, ‘script’, ‘facebook-jssdk’));

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