The sun's violent death could look like this A white dwarf and an unusual exoplanet hint that'stellar death is not the end.' More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . The sun still has a long life ahead of it, say five billion years or so.

This Is the Most Detailed Image Yet of the Milky Way's Center The Euclid space telescope's stunning photo of our galaxy's "crowded heart" captures more than 60 million stars. The European Space Agency's (ESA) Euclid space telescope has captured the largest and most detailed visible-light image ever obtained of the Milky Way's galactic bulge, the central region of our galaxy. The image is a mosaic containing more than 60 million stars, as well as nebulae and star clusters. It will allow scientists to confirm the possible presence of exoplanets using a microlensing technique and measure their masses with greater precision. Although Euclid was designed to observe billions of distant galaxies, its visible-light camera is sensitive enough to resolve individual stars at the center of the Milky Way--a region that is both extremely bright and densely populated--without being overwhelmed by the intense light.

'Project Hail Mary' may be fiction, but this list could still come in handy. An artist's impression of a theoretical planet orbiting a redder star, which could cause microbes and plants on the planet's surface to reflect very different colors from Earth's green forests. Breakthroughs, discoveries, and DIY tips sent six days a week. Life on Earth is a precious thing, especially given what astronomers know about the visible universe. Although researchers have so far identified over 6,000 exoplanets beyond our solar system, only a handful of them be suitable for human visitors.

Aomawa Shields '97 was equally enticed by the prospect of studying stars and the dream of becoming one herself. Today, she draws from her exploration of acting and astronomy to search for life on other planets. Few people, if any, contemplate stars--celestial or cinematic--the way Aomawa Shields does. An astronomer and astrobiologist, Shields explores the potential habitability of planets beyond our solar system. But she is also a classically trained actor--and that's helped shape her professional trajectory in unexpected ways. Today, Shields is an associate professor in the Department of Physics and Astronomy at the University of California, Irvine, where she oversees a research team that uses computer models to explore conditions on exoplanets, or planets that revolve around stars other than the sun.

Astronomers initially thought the dramatic burst of light was a new exoplanet. Breakthroughs, discoveries, and DIY tips sent every weekday. What astronomers initially suspected to be a new exoplanet is actually a never-before-seen, head-on cosmic crash. As detailed in a study published today in the journal, researchers describe the aftermath of two separate collisions between two small, rocky cosmic objects called planetesimals . However, their findings were only made possible by some eagle eye imaging courtesy of the Hubble Space Telescope .

Interstellar Arc is an immersive sci-fi experience that uses recent advances in headset tech to break new ground in virtual reality. And it all happens inside an empty-looking room in Las Vegas. It feels like I've been transported into a scene straight out of a science fiction movie. I'm walking around on a giant centrifuge in space, which I can see the outlines of at the edge of my vision. Beyond it, I see the planet we're orbiting. The pathways I walk on stretch endlessly above and below me, giving me the feeling I'm in an absolutely massive structure.

In this work, we propose a new flow-matching Markov chain Monte Carlo (FM-MCMC) algorithm for estimating the orbital parameters of exoplanetary systems, especially for those only one exoplanet is involved. Compared to traditional methods that rely on random sampling within the Bayesian framework, our approach first leverages flow matching posterior estimation (FMPE) to efficiently constrain the prior range of physical parameters, and then employs MCMC to accurately infer the posterior distribution. For example, in the orbital parameter inference of beta Pictoris b, our model achieved a substantial speed-up while maintaining comparable accuracy-running 77.8 times faster than Parallel Tempered MCMC (PTMCMC) and 365.4 times faster than nested sampling. Moreover, our FM-MCMC method also attained the highest average log-likelihood among all approaches, demonstrating its superior sampling efficiency and accuracy. This highlights the scalability and efficiency of our approach, making it well-suited for processing the massive datasets expected from future exoplanet surveys. Beyond astrophysics, our methodology establishes a versatile paradigm for synergizing deep generative models with traditional sampling, which can be adopted to tackle complex inference problems in other fields, such as cosmology, biomedical imaging, and particle physics.

From lava worlds to gas giants, NASA says the variety of these worlds is staggering--and that signs of a further 8,000 distant planets are awaiting confirmation. The number of confirmed planets outside of our solar system--known as exoplanets-- has risen to 6,000, NASA has said. There is huge variety across these distant worlds, the space agency says, with discoveries including rocky planets, lava worlds, and gas giants enveloping their stars. Plenty more discoveries are likely on the way. As a result of continued monitoring by NASA's Exoplanet Science Institute (NExScI), there are more than 8,000 potential planets that have been identified and are awaiting confirmation.

Exoplanet imaging is a major challenge in astrophysics due to the need for high angular resolution and high contrast. We present a multi-scale statistical model for the nuisance component corrupting multivariate image series at high contrast. Integrated into a learnable architecture, it leverages the physics of the problem and enables the fusion of multiple observations of the same star in a way that is optimal in terms of detection signal-to-noise ratio. Applied to data from the VLT/SPHERE instrument, the method significantly improves the detection sensitivity and the accuracy of astrometric and photometric estimation.

With manual searching processes, the rate at which scientists and astronomers discover exoplanets is slow because of inefficiencies that require an extensive time of laborious inspections. In fact, as of now there have been about only 5,000 confirmed exoplanets since the late 1900s. Recently, machine learning (ML) has proven to be extremely valuable and efficient in various fields, capable of processing massive amounts of data in addition to increasing its accuracy by learning. Though ML models for discovering exoplanets owned by large corporations (e.g. NASA) exist already, they largely depend on complex algorithms and supercomputers. In an effort to reduce such complexities, in this paper, we report the results and potential benefits of various, well-known ML models in the discovery and validation of extrasolar planets. The ML models that are examined in this study include logistic regression, k-nearest neighbors, and random forest. The dataset on which the models train and predict is acquired from NASA's Kepler space telescope. The initial results show promising scores for each model. However, potential biases and dataset imbalances necessitate the use of data augmentation techniques to further ensure fairer predictions and improved generalization. This study concludes that, in the context of searching for exoplanets, data augmentation techniques significantly improve the recall and precision, while the accuracy varies for each model.