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Specifically, the Antipas team used their experiments to search for a class of dark matter known as ultralight dark matter. At their heaviest, ultra-bright dark matter particles are still about a trillion times lighter than electrons. According to quantum mechanics, all matter has both particle-like and wave-like qualities, with larger objects typically having more particle-like qualities and smaller ones having more wave-like qualities. “When people talk about ultra-bright dark matter, they mean that dark matter is more like a wave,” said physicist Kathryn Zurek of the California Institute of Technology, who was not involved in the experiment. Like all other dark matter experiments so far, the Antipas search has found nothing. However, the absence of their discovery helps limit the properties of dark matter, as experiments show what dark matter is not. Also, the team’s approach differs from that of the more famous dark matter experiment, which looks for particles known as WIMPs (

Pick up any physics textbook and you’ll find formula after formula that explains how things sway, fly, turn, and stop. The formula describes actions that we can observe, but behind each can be a series of factors that are not immediately apparent. Now, a new AI program developed by researchers at Columbia University appears to have found its own alternative physics. After being shown videos of physical phenomena on Earth, AI did not rediscover the current variables we used; instead, it actually comes up with a new variable to explain what it sees. To be clear, this does not mean that our current physics is flawed or that there is a more suitable model to explain the world around us. (Einstein’s laws have proven to be very powerful.) But they can only exist because they are built on a pre-existing ‘language’ of theories and principles established by centuries of tradition. Given an alternate timeline where other minds tackle the same problem from a slightly different perspective, wou

The first step to understanding physics is to identify the relevant variables. Columbia Engineers developed an AI program to address a longstanding problem: is it possible to identify state variables only from high-dimensional observational data. Using video footage of various physical dynamic systems, the algorithm discovers the intrinsic dimensions of the observed dynamics and identifies a candidate set of state variables — with no prior knowledge of the underlying physics. Energy, Mass, Speed. These three variables make up Einstein’s iconic equation E=MC 2 . But how did Einstein know about these concepts? The first step to understanding physics is to identify the relevant variables. Without the concepts of energy, mass, and velocity, even Einstein could not have discovered relativity. But can such a variable be found automatically? Doing so can greatly speed up scientific discovery. This is the question that researchers at Columbia Engineering are asking on a new AI program.

15 July 2022 • Physics 15, 108 Tests of standard models of particle physics using nuclear isotopes are becoming increasingly precise but they have a way to go before they can confirm the existence of new particles. Diana Prado Lopes Aude Craik/Harvard University On the right, ytterbium ions are trapped in a vacuum chamber and examined with a laser, which produces blue light. This test allowed the MIT group to determine the energy levels of each isotope. Diana Prado Lopes Aude Craik/Harvard University On the right, ytterbium ions are trapped in a vacuum chamber and examined with a laser, which produces blue light. This test allowed the MIT group to determine the energy levels of each isotope. × Traditionally, to find new fundamental particles, physicists have used pulverizers, smashed high-energy particles, and surveyed the wreckage. But in recent years, the search for low-energy nuclear has emerged as a more refined path to particle discovery. Two new studies hint at thei

Forced to spend their days slamming their tiny skulls into the sides of trees in search of buried pieces, woodpeckers should have developed a trick or two to avoid brain damage. So you would think. A new study of woodpecker biomechanics has cast doubt on speculation that the chisel-headed little bird avoided turning its brains to mush through a fancy shock-absorbing adaptation. On the other hand, his brain may be too small to care. “By analyzing high-speed video of three woodpecker species, we found that woodpeckers do not absorb the shock of impact with trees,” said Sam Van Wassenbergh, a biomechanics researcher from the University of Antwerp in Belgium. Anyone who’s ever seen, or even just heard of, machine gun fire from the woodpecker’s signature beat will appreciate the physics involved. Snapping their heads back and forth at an astonishing 20 times per second, members of some species can experience forces of up to 1400 g. Compare that to the paltry 90 to 100 grams that can cause

Washington [US]July 9 (ANI): Researchers have entangled two quantum memories via a 33-kilometer-long fiber-optic connection, a record and an important step towards a quantum internet. A network where data transmission is highly secure against hacking? If physicists succeed, this will one day become a reality with the help of the quantum mechanical phenomenon known as entanglement. For entangled particles, the rule is: If you measure the state of one particle, you automatically know the state of the other. It makes no difference how far the particles are entangled with each other. This is the ideal state for transmitting information over long distances in a way that makes eavesdropping impossible. Read Also | Germany vs Denmark, UEFA Women’s Euro 2022, Live Streaming Online & Match Times on IST: How to Get Live SPA vs FIN on TV & Free Football Score Updates in India. A team led by physicist Prof. Harald Weinfurter from LMU and Prof. Christoph Becher of the University of S