Saturday, 24 September 2022
The rings of Neptune captured by James Webb Space Telescope after three decades
Tuesday, 6 September 2022
TOI-1452b: An Earth-like planet with deeper oceans and two suns.
Recently NASA discovered an exoplanet orbiting around two suns outside our solar system in the Draco constellation. It is named TOI-1452b and is 70% larger in size compared to Earth. The most striking feature of the planet is that it is covered with oceans considered to be deeper than those on Earth. But the feature that arouses the greatest interest is that the planet is situated in the habitable region of the parent stars and water on it remains in a liquid form unlike many moons in our solar system.
This super-earth was discovered two years ago by the TESS space telescope. The planet orbits a binary star system that has currently collapsed to its dwarf stage. So they are around four times smaller than the sun. The revolution speed of the planet is extremely high and so a year on this planet lasts for only 11 days. The orbit of the exoplanet is smaller compared to Earth separated by only 97 astronomical units. Moreover, it is cooler but receives enough light to sustain life.
Researchers have estimated a total ocean presence of around 30% of the total mass. This is huge compared to that of Earth because Earth's 70% water regions only make up about 1% of the total mass. The massiveness of the planet suggests that the depths of the oceans will be far greater than those on Earth. So from this, we can understand the huge reservoir of water that this planet holds. To add to this, all the water present on this planet is in liquid form, which is a real advantage. We know that Jupiter's two moons Ganymede and Callisto contain deep oceans, but they are buried deep beneath thick sheets of ice. The same applies to Saturn's moons Titan and Enceladus.
Jupiter and its moon GanymedeTitan: Saturn's moon
To draw some concrete inferences, scientists need to get more observations from powerful telescopes like the James Webb. It is theorized that life originated under the oceans near the hydrothermal vents. Considering this, presence of such a huge amount of water are really positive signs for us. Although scientists are of the idea that the planet does not have an atmosphere, we know that the planet can be brimming with life. This is because some of the branches of the oldest bacteria can live in extreme environments. So in all, the exoplanet is of great interest to us and can be significant in shaping the future of humanity.
Bacteria
by
Prabir Rudra
Saturday, 27 August 2022
Mathematical Theory of Probability: A historical perspective from Pascal to Laplace
3 dice rolling problem
Terminology
The term 'Probability' literally means chance or odds or expectation or likelihood. The term originates from the medieval Latin word 'probabilis' meaning plausible. Probability is always utilized to study the behavior of stochastic (random) processes like tossing a coin or rolling a dice. Historically probability has always been closely associated with the term chance and used synonymously with it until we had a proper mathematical perspective in the 18th century. The early form of the theory was called the 'Doctrine of Chances'.
Origin
The early form of the theory
The early form of the mathematical theory of probability can be attributed to four mathematicians of that era, namely, the Italian polymath Gerolamo Cardano, the French mathematicians Pierre de Fermat and Blaise Pascal, and the Dutch mathematician Christiaan Huygens. Cardano began his investigations as early as 1560, but his work was unknown to society for 100 years. He basically put his thoughts into investigating the sum of the numbers obtained from the throws of three dice. The randomness involved amazed him and he tried to find a pattern in it. This was such a booming topic in those days that Galileo could not stay away from it. In the early 17th century he considered the problem of throwing 3 dice and declared that it is possible to throw some numbers more often than others because there are more ways to create that number. From the middle of the 17th century, there began a correspondence between Fermat and Pascal aiming to find a solution for the games of chance. This triggered a serious attempt towards the development of a mathematical basis of probability. In 1657 Huygens gave a comprehensive treatment to the concept.
Subsequent developments
In the 18th century, the subject was taken up by the Swiss mathematician Jacob Bernoulli and the French mathematician Abraham De Moivre. In his Arcs Conjectandi (1713), Bernoulli derived the first version of the Law of Large Numbers (LLN), which states that the average of the results obtained from a large number of trials of a random experiment should be close to the expected value and the gap gradually decreases as the number of trails are increased. De Moivre in his Doctrine of Chances (1718) showed the method of calculating a wide range of complex probabilities.
By the 19th century, it was almost evident that the mathematical theory of probability is a powerful mathematical tool having a wide range of real-life applications. The randomness or uncertainties in various activities of human life and natural phenomenon can be well addressed by a well-formulated theory of probability. To re-affirm this idea German mathematician and physicist Gauss used the theory in astronomical studies and the predictions were great. From a few observational data, he determined the orbit of Ceres (a dwarf planet in the asteroid belt between Mars and Jupiter). He used the method of least squares to perform an error analysis to correct the errors in the observations, which became a routine analysis in astronomy thereafter. To do this he used the normal distribution of errors in his calculations, which is a probabilistic tool. In 1812 French scholar and polymath Laplace further developed the theory by introducing fundamental concepts of mathematical expectations which include the moment generating function, the method of least squares, and the testing of hypothesis. From here the mathematical theory of probability took a turn and slowly started to develop a bonding with the mathematical theory of statistics. It was understood that the two concepts are related and one cannot do without the other.
Probability in Physics
By the end of the 19th century, physics was gaining ground and was the leading science of the era. Classical mechanics developed by Newton, Lagrange, Hamilton, etc were no longer valid for the sub-atomic worlds. Science needed new physical theories to describe the observations. Who knew that the mathematical theory of probability will form the cornerstone of the new theories to come? It was found that the properties of gases like the temperature could only be expressed in terms of the motions of a large number of particles. This could not be done without the help of statistics as the number of particles that we are talking about here is huge. Ludwig Boltzmann and J. Willard Gibbs developed the field of Statistical Mechanics to address the problem, which involved the concepts of probabilities and statistics.
The laws followed by the sub-atomic (micro) particles were queer and totally different from the classical world. To address this issue Quantum Mechanics was developed in the 20th century by people like Max Planck, Albert Einstein, Niels Bohr, Werner Heisenberg, Erwin Schrodinger, Paul Dirac, Wolfgang Pauli, Richard Feynman, etc. The basis of the modern quantum theory is the Uncertainty principle proposed by Heisenberg and it is built on the concepts of probability.
Probability in today's World
The twentieth century saw the mathematical theory of probability develop leaps and bounds. One of the basic problems of probability is finding a formal unambiguous definition of the mathematical origin. The theory is so realistic, obvious, and application-based that it was really tough to find a theoretical definition of probability. The classical definition was initially formed which was far from being sufficient and made way for the frequency definition. Finally, the frequency definition was replaced by the axiomatic definition given by the Russian mathematician Andrey Kolmogorov in 1933. The axiomatic definition is based on three axioms which are logical and accepted worldwide. It settled the long-standing disputes between mathematicians regarding the definition of probability.
Probability and Statistics found a link and came together through the concept of hypothesis testing introduced by the Polish mathematician Jerzy Neyman and the British polymath R.A. Fisher. In modern times the concept of hypothesis testing is applied in various fields like biological and psychological experiments. It is used in the clinical trial of drugs and also in economics. Nowadays the idea of probability is used in concepts like the Markov process, Brownian motion, and other places where we have to deal with an aggregate of entities. Random fluctuations of stock markets are studied using probabilistic mathematical models to provide predictions for investors. So Mathematical finance has emerged as a new area of mathematics.
The modern era is an era of computer simulations, artificial intelligence, quantum computing, data science, etc. In almost all these areas the mathematical theory of probability plays a significant role. It is understandable that there is still a lot of room for development. Mathematicians all over the world work on stochastic models with the aim of improving the theory and increasing its applicability. We hope that a theory that developed from within the human society out of utmost necessity, will continue to develop and help humanity reach new heights in science and technology.
By
Prabir Rudra
Wednesday, 24 August 2022
Quantum Mechanics: Are we a particle or a wave or both!!!?? Two contradictory pictures of reality!!
I think I can safely say that nobody understands quantum mechanics-- Richard Feynman
The macro world that we know around us works on some simple set of rules and principles, that have been deeply inscribed in our intuition. When we push or pull an object, it tends to move. Throw a stone upwards and it returns to the Earth. Move towards a wall and try to walk through it and you cannot do it. These are familiar and accepted pictures of our day-to-day life. But as soon as we glance into the atomic and sub-atomic world (micro) the picture completely changes. As more and more observations were made it was clear that these microparticles followed some laws which were really very queer when compared to our accepted laws of the classical world. By the end of the 19th century, it was quite clear that classical mechanics will not work at micro levels.
Black body radiation
It began with the problem of black body radiation. A perfectly black body is one that absorbs all the electromagnetic radiation that falls on it. It is a perfectly idealized system. The radiation spectrum of such a body could not be explained by the classical law of Rayleigh-Jeans. Max Planck adopted a mathematical trick to get a solution for this problem. He assumed that light is not a continuous wave, but is made up of discrete packets of energy called quanta. This means that energy can only exist as integral multiples of some small units of energy (quanta) and not in any arbitrary amount.
Planck himself was very confused about this and did not believe it, calling it an act of sheer desperation. But with the assumption, the equations worked perfectly. With this adjustment, Planck proposed the basic form of quantum theory in 1900. It took some time for the people to get adjusted to such ideas but slowly it did happen. In 1905, Albert Einstein discovered the photoelectric effect where he considered the discrete quanta of light as discrete particles called photons. He was awarded the Nobel prize in physics for this contribution in 1921. Planck's theory coupled with Einstein's photoelectric effect is considered as the "old quantum theory".
Dawn of the era of quanta
Wave-particle duality: How it really got bizarre!!
Further Developments
The fifth Solvay conference on physics was held in 1927. The conference was dedicated to various aspects of quantum theory. Considered to be the image with the highest IQ in history.
Implications of the theory
Friday, 19 August 2022
Tuesday, 16 August 2022
Sunday, 7 August 2022
Saturday, 6 August 2022
White dwarf: The death-bed of a star telling the story of its glorious past
A white dwarf is a compact stellar core remnant resulting from gravitational collapse. Dense electron degenerate matter fills up such astronomical objects. Since nuclear fusion ceases to take place in a white dwarf, it almost has no light of its own. But still, a white dwarf may appear faintly lit in the sky, due to the residual thermal energy that it carries forward from the fusion reaction during the star's lifetime. Sirius B at a distance of 8.6 lightyears is the nearest known white dwarf. Around 8 white dwarfs are known to us in the vicinity of our solar system.
Formation
Stellar Equilibrium
Transformation into a black dwarf and the final fate
Friday, 5 August 2022
Prisoners of space and time!! (Meme)
Read the full article at:
https://www.spacetimerecipe.com/2019/03/prisoner-of-space-and-time.html
By
Prabir Rudra



































