Like a witness to a violent death, NASA's Hubble Space Telescope recently gave astronomers an unprecedented, comprehensive view of the first moments of a star's cataclysmic demise. Hubble's data, combined with other observations of the doomed star from space- and ground-based telescopes, may give astronomers an early warning system for other stars on the verge of blowing up. ...
The supernova, called SN 2020fqv, is in the interacting Butterfly Galaxies, which are located about 60 million light-years away in the constellation Virgo. It was discovered in April 2020 by the Zwicky Transient Facility at the Palomar Observatory in San Diego, California. Astronomers realized that the supernova was simultaneously being observed by the Transiting Exoplanet Survey Satellite (TESS), a NASA satellite designed primarily to discover exoplanets, with the ability to detect an assortment of other phenomena. They quickly trained Hubble and a suite of ground-based telescopes on it.
Together, these observatories gave the first holistic view of a star in the very earliest stage of destruction. Hubble probed the material very close to the star, called circumstellar material, mere hours after the explosion. This material was blown off the star in the last year of its life. These observations allowed astronomers to understand what was happening to the star just before it died. ...
Right, thank you for sharing the news here.
Supernovas, neutron stars, back holes and even comets, exoplanets coming out of the Solar system show us a glimpse of potential of we can know about the universe even in it's observable part.
Recent years of discoveries are really unprecedented for the observation discoveries, including the predicted and unpredicted ones (for instance, the Milky Way galaxy arm 'break).
We keep humble understanding of how few we understand and bald intensions to go for as much as possible.
Astronomy is unstoppable in the sense of generations strive.
<<In chaos theory, the butterfly effect is the sensitive dependence on initial conditions in which a small change in one state of a deterministic nonlinear system can result in large differences in a later state. The butterfly effect is most familiar in terms of weather; it can easily be demonstrated in standard weather prediction models, for example. The idea that the death of one butterfly could eventually have a far-reaching ripple effect on subsequent historical events made its earliest known appearance in "A Sound of Thunder", a 1952 short story by Ray Bradbury. In 1961, Lorenz was running a numerical computer model to redo a weather prediction from the middle of the previous run as a shortcut. He entered the initial condition 0.506 from the printout instead of entering the full precision 0.506127 value. The result was a completely different weather scenario. The climate scientists James Annan and William Connolley explain that chaos is important in the development of weather prediction methods; models are sensitive to initial conditions. They add the caveat: "Of course the existence of an unknown butterfly flapping its wings has no direct bearing on weather forecasts, since it will take far too long for such a small perturbation to grow to a significant size, and we have many more immediate uncertainties to worry about. So the direct impact of this phenomenon on weather prediction is often somewhat wrong."
In The Vocation of Man (1800), Johann Gottlieb Fichte says "you could not remove a single grain of sand from its place without thereby ... changing something throughout all parts of the immeasurable whole". Chaos theory and the sensitive dependence on initial conditions were described in numerous forms of literature. This is evidenced by the case of the three-body problem by Henri Poincaré in 1890. He later proposed that such phenomena could be common, for example, in meteorology. In 1898, Jacques Hadamard noted general divergence of trajectories in spaces of negative curvature. Pierre Duhem discussed the possible general significance of this in 1908. The idea that small causes may have large effects in weather was earlier recognized by French mathematician and engineer Henri Poincaré. American mathematician and philosopher Norbert Wiener also contributed to this theory. Edward Lorenz's work placed the concept of instability of the Earth's atmosphere onto a quantitative base and linked the concept of instability to the properties of large classes of dynamic systems which are undergoing nonlinear dynamics and deterministic chaos.
The butterfly effect concept has been used as a broad term for any situation where a small change is supposed to be the cause of larger consequences. >>