Tag: universe

  • 5 Most Unsolved Mysteries Of The Universe

    5 Most Unsolved Mysteries Of The Universe

    We’re still working hard to unravel the mysteries of the universe


    The more new things are found, the more intriguing they become. 

    Our universe is full of strange phenomena and we don’t know why some of them happen.

    1. Most of the universe is missing

    Astronomers are confronting a mystery that undermines much of what we thought we knew about the universe. 

    We once thought that the universe was dominated by two substances: normal matter, called “baryonic matter” (matter that interacts with light and other forms of radiation), and invisible “dark matter”, which is transparent to light and makes its presence felt only through gravity.

    But in the late 1990s, cosmologists made an unexpected discovery. The expansion of the universe was supposed to be slowing down because of the gravitational pull of the matter inside it, but instead it was accelerating.

     Evidence for this comes from supernova explosions in galaxies billions of light years away from Earth. According to previous models of cosmic expansion, these explosions are much fainter than expected.

    The culprit is called “dark energy” and it is thought to make up 70% of the universe. We don’t know exactly what dark energy is, but perhaps the most intriguing and even alarming aspect of the discovery is that it seems to be increasing. 

    Until 7.5 billion years ago, the expansion was slowing down. Then the force of dark energy overcame gravity and the expansion started again.

    Some scientists suggest that if dark energy continues to grow, after billions of years it will become so powerful that it will tear galaxies, stars and even particles of matter apart. In this case, our universe could end in the “Big Rip”.

    2. Impossible stars

    In 2011, scientists at the European Southern Observatory discovered a strange star: SDSS J102915+172927, located 4,500 light-years from Earth in the constellation Leo. This star, named Caffau’s Star, has about four-fifths the mass of the Sun. 

    Almost all of its mass is made up of hydrogen and helium, the two lightest elements in the universe. These two elements make up 99.99993% of the star’s composition. Heavier elements (metals) are almost non-existent.

    Such a pure and light star must have formed more than 13 billion years ago from raw cosmic matter left over from the Big Bang. The problem is that according to accepted models of star formation, this star should never have formed.

    For pre-star clouds to collapse and create enough gravity to form stars, they must either contain more metal than Caffau’s Star or have a mass greater than it. So small, low-density stars like this shouldn’t exist.

    3. Miranda’s secret

    In 1986, Voyager 2 flew past the planet Uranus and took pictures of the planet’s moon Miranda. Judging by the variety of surface features on this small moon, Miranda breaks the rule that small celestial bodies show no geological activity. 

    Astronomers have nicknamed it the “Frankenstein moon,” perhaps because it appears to have been torn apart and reassembled by an ancient planetary collision.

    But there is a problem with this theory. Miranda orbits so close to Uranus that if it were completely torn apart, it would never be able to come back together. That’s why some scientists think Miranda is being pulled into shape by enormous tides.

    4. Rectangular galaxies

    According to the laws of orbital mechanics, stars always follow elliptical orbits under the influence of gravity. Therefore, when they come together in large groups, they form either flat disk-like spirals or ball-shaped ellipticals. 

    It should be impossible for galaxies to have sharp rectangular corners, but astronomers have found a few such rectangular galaxies.

    For example, LEDA 074886 in the constellation Eridanus is a small, rectangular galaxy embedded in a nearby galaxy cluster. The question is whether this shape is a long-lived structure or a temporary coincidence. 

    Astronomers studying it with the giant Japanese Subaru telescope think the latter is more likely, and that a collision and merger between two galaxies may have scattered stars, creating the current box-like arrangement and triggering a wave of star formation at the new center.

    5.Orphan planet

    According to the standard definition, a planet is a celestial body of considerable mass orbiting a star, formed from the debris left over from star birth. So how is it that some planets wander alone in space, far from stars?

    Astronomers have discovered several such planets. The closest and most intriguing one has the catalog name CFBDSIR J214947.2 040308.9.

    First seen in 2012, this orphan planet is located about 100 light-years away, in the vibrant AB Doradus group (a cluster of young stars). With a surface temperature of about 400 degrees Celsius, it is probably a gas giant, much heavier than Jupiter. 

    It is still hot, either because of the events of its formation, or perhaps because of its own internal energy source, driven by gravitational contraction. It is too far from stars to reflect any starlight. We were able to detect it thanks to the infrared radiation from its surface.

    Like all orphan planets, astronomers are not sure how it formed. Perhaps it began its life orbiting a star, then got too close to another star and was ejected far away. 

    Or, if it formed in the same nebula as the cluster of stars around it, it might not be a planet at all, but a “sub-brown dwarf star”.

  • Surprising Similarities Between Human Brain And Universe

    Surprising Similarities Between Human Brain And Universe

    If you want to understand yourself, you will understand the whole universe – Human Brain And Universe

    Merlin says:

    “Remember, Arthur, if you want to understand the whole universe, you will understand nothing. But if you want to understand yourself, you will understand the whole universe.”

    Could there really be similarities between the human brain and the universe? The human brain weighs about 1.5 kilograms and contains about 1oo billion neurons. 

    Coincidentally, this is roughly the same number as the number of stars in our galaxy, the number of galaxies in the universe and the number of people who have ever lived. 

    Edward Wilson: 

    “The human brain is the most complex object known in the universe. And it is he who knows it.”

    An astrophysicist from the University of Bologna and a neurosurgeon from the University of Verona compared the network of neuronal cells in the human brain with the network of cosmic galaxies. 

    Actually, this is not such a strange comparison. You may have seen the image below, which is occasionally shared, showing a human neuron and a simulated galaxy cluster side by side. Indeed, the two look surprisingly similar. 

    But there is much more to the human brain — and to the Universe — than meets the eye. That’s why the first results of the comparison were truly astonishing. Not only were the brain and the cosmic web identical in complexity, but also in structure. 

    Similarities between the human brain and the Universe

    The human brain functions thanks to its vast network of neurons, which is believed to contain around 69 billion neurons. On the other hand, the observable universe consists of a cosmic network of at least 100 billion galaxies. 

    In both systems, only 30% of their mass consists of galaxies and neurons. In both systems, galaxies and neurons organize themselves into long filaments or nodes between filaments. 

    Finally, in both systems, 70% of the distribution of mass or energy is made up of components that play a seemingly passive role. To be precise, the brain is made up of 77 per cent water. And 72 per cent of the universe is dark energy. 

    Based on the common features of the two systems, the researchers compared a simulation of the network of galaxies with parts of the cerebral cortex and cerebellum. Their aim was to observe how matter fluctuations are distributed at such diverse scales. 

    The researchers used a technique called power spectrum analysis to study the large-scale distribution of galaxies. The power spectrum of an image measures the strength of structural fluctuations at a given spatial scale. 

    A striking message emerges from the power spectrum plot in Figure 2. The relative distribution of the fluctuations in the two networks is quite similar, with a difference of a few measurements. 

    The distribution of fluctuations in the cerebellum on scales of 0.1–1 mm is reminiscent of the distribution of galaxies over hundreds of billions of light-years. 

    The structure of the cortex at the smallest scales available for microscopic observation (about 10 µm) is quite close to that of galaxies on the scale of several hundreds of thousands of light-years. 

    Unexpected agreement in structural parameters

    Power spectrum comparison does not tell us whether the two systems being compared are equally complex. A practical way to estimate the complexity of a network is to measure the difficulty of predicting its behaviour.

    This can be done by calculating the amount of information required to create the smallest possible computer program that can make such an estimate.

    A recent study shows that the memory of the human brain is around 2.5 petabytes. Another study suggests that the memory capacity needed to store the complexity of the Universe is about 4.3 petabytes.

    This similarity in memory capacity means that all the information stored in a human brain could also be encoded into the distribution of galaxies in our Universe.

    The team also looked at other morphological features, such as the number of filaments attached to each node. The cosmic network, based on a sample of 3,800 to 4,700 nodes, had an average of 3.8 to 4.1 connections per node.

    The human cortex, with 1,800 to 2,000 nodes, had an average of 4.6 to 5.4 connections per node.

    Conclusion

    The results of this pilot study are very encouraging. Therefore, the researchers believe that new and efficient analysis techniques in both fields will allow a better understanding of the dynamics underlying the temporal evolution of these two systems.