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World's largest solar telescope reveals unprecedented photo of the sun

World's largest solar telescope reveals unprecedented photo of the sun

Yahoo25-04-2025

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Weather on Earth can be wild, but it's not the only kind of weather we have to deal with. Space weather — all the winds and particles streaming off the sun — can have major impacts on Earth and human infrastructure. In the worst cases, this can mean dangerous disruption to our power grids and communications satellites.
To help us predict these space storms, astronomers have a newly improved space weatherman — and it's the best one to date. The Daniel K. Inouye Solar Telescope (DKIST), perched atop the Hawaiian mountain of Haleakalā, is the world's largest telescope used for studying the sun and predicting these storms.
The team behind this technological marvel recently hit a major milestone, finally turning on one of DKIST's most powerful cameras — known as the Visible Tunable Filter, or VTF — after more than a decade working on its creation.
This camera is the final piece of the puzzle for DKIST, and the VTF's addition "will complete its initial arsenal of scientific instruments," Carrie Black, director of the National Solar Observatory, said in a statement.
"The significance of the technological achievement is such that one could easily argue the VTF is the Inouye Solar Telescope's heart, and it is finally beating at its forever place," Matthias Schubert, project scientist for the VTF, said in the statement.
VTF's first image shows a major clump of sunspots, dark blobs on the sun's surface caused by its intense magnetic field, each blob measuring wider than the continental United States. This impressive camera can see details down to a resolution of about 6.2 miles (10 kilometers) per pixel on the solar surface — an absolutely wild resolution given that the sun is tens of millions of miles away from us.
Related: A mysterious, 100-year solar cycle may have just restarted — and it could mean decades of dangerous space weather
VTF provides more than just a simple snapshot. It captures images at multiple wavelengths of light to measure a spectrum, while also gathering information on how the light's electric field is oriented (known as polarization). These extra perspectives on the sun help reveal details of the solar surface, magnetic field and plasma that are otherwise invisible, informing our predictions for space weather and solar flares.
During just one observation of the sun, this instrument can collect more than 10 million spectra — graphs of the light's intensity over different wavelengths — which help scientists determine how hot the solar atmosphere is, how strong the sun's magnetic field is and more.
RELATED STORIES
—Has the sun already passed solar maximum?
—NASA's daredevil solar spacecraft survives 2nd close flyby of our sun
—Watch eerie 'UFOs' and a solar 'cyclone' take shape in stunning new ESA video of the sun
Today's news is only the beginning for the VTF and DKIST. The incredibly complex instrument still requires more testing and set-up, which is expected to be completed by next year.
But the newly released first images show great promise for how much we can learn about the sun, our nearest star. These images are "something no other instrument in the telescope can achieve in the same way," said National Solar Observatory optical engineer Stacey Sueoka. "I'm excited to see what's possible as we complete the system."

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Just 1 dose of magic mushroom compound eases depression for at least 5 years in most patients, small study suggests
Just 1 dose of magic mushroom compound eases depression for at least 5 years in most patients, small study suggests

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Just 1 dose of magic mushroom compound eases depression for at least 5 years in most patients, small study suggests

When you buy through links on our articles, Future and its syndication partners may earn a commission. DENVER—Psilocybin, the main psychoactive ingredient in magic mushrooms, can alleviate depression for at least five years after a single dose, a new study finds. The research, presented June 18 at the Psychedelic Science 2025 conference in Denver, focused on patients with major depressive disorder (MDD), which is often called clinical depression. The serious mood disorder causes a persistent feeling of sadness and a loss of interest or pleasure in activities that were once enjoyable. The most common treatments for MDD include talk therapy and medications such as selective serotonin reuptake inhibitors, and both can take a long time to show any benefits. When early studies hinted at psilocybin's potential as an antidepressant, a team of researchers undertook the first-ever randomized clinical trial to explore the use of the psychedelic for treating severe depression. The trial included 24 patients, half of whom received psilocybin at the very start of the trial and half of whom received the same dose eight weeks later—the "waitlist" group. Each patient also received 11 hours of psychotherapy. Even in that short time frame, "there was a significant reduction in depression in the immediate-treatment group compared to those on the waitlist," study co-author Alan Davis, director of the Center for Psychedelic Drug Research and Education at The Ohio State University, told Live Science. Once all of the patients had completed the four-week study, the psilocybin appeared to be four times more effective than traditional antidepressant medications, based on previous research data. One month after the treatment, 17 patients had relieved symptoms, including 14 who were in full remission from depression. Patients also responded much faster to psilocybin than is typical for conventional antidepressants. But do these benefits of psilocybin last? Related: Magic mushrooms temporarily 'dissolve' brain network responsible for sense of self Very few long-term studies of psilocybin for depression have been conducted to date, said Dr. Charles Raison, a professor of human ecology and psychiatry at the University of Wisconsin-Madison who was not involved in the research. "They are very difficult to do because people drop out," Raison told Live Science in an email. "But also because they go on all sorts of other treatments that obfuscate the degree to which any longer lasting benefits result from the psychedelic or because the participant got therapy or restarted an antidepressant." To investigate whether the benefits for psilocybin lasted and if the patients had experienced any side effects, the researchers contacted the original trial participants several years later to request their enrollment in a follow-up study. Twenty-one patients enrolled, and their clinicians rated any changes in the participants' levels of depression from before the original treatment to the present day. The patients also filled out a series of self-reported, online questionnaires and met up with clinicians to document their ability to engage in everyday tasks, their levels of anxiety and their general mental health. The researchers assumed that the three patients that didn't sign up for the follow up, and the three that didn't complete the questionnaires had not remained in remission. Even so, the researchers found that 67% of the participants who had suffered from depression half a decade earlier remained in remission after a single psychedelic therapy session. These patients also reported less anxiety and less difficulty functioning on a daily basis. In general, the two-thirds of the patients who responded well reported lasting positive changes in their mindsets, emotional health and relationships. "I'm excited by these deeper aspects of their lives that really speaks to the importance of these interventions beyond just reduction of depression," Davis said. RELATED STORIES —Psychedelics rapidly change the brain. Here's how. —Australia clears legal use of MDMA and psilocybin to treat PTSD and depression —'Magic mushroom' treatment for depression inches closer to approval Most of the patients shared that, following the original treatment, they'd engaged in self-reflection and therapy to help understand themselves and navigate life's challenges. Davis hypothesizes that the psychedelic experience catalyzes a deeper therapy process and would like to conduct future studies comparing the relative influences of psilocybin and psychotherapy in alleviating depression. "The biggest caveat of this study is the small sample size, and the fact that the original trial showed larger antidepressant effects than subsequent larger multi-site studies seem to be showing," Raison said. 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Vera C. Rubin debut images: How to see the groundbreaking space photos from the world's largest camera
Vera C. Rubin debut images: How to see the groundbreaking space photos from the world's largest camera

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Vera C. Rubin debut images: How to see the groundbreaking space photos from the world's largest camera

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Hurricanes and sandstorms can be forecast 5,000 times faster thanks to new Microsoft AI model
Hurricanes and sandstorms can be forecast 5,000 times faster thanks to new Microsoft AI model

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Hurricanes and sandstorms can be forecast 5,000 times faster thanks to new Microsoft AI model

When you buy through links on our articles, Future and its syndication partners may earn a commission. A new artificial intelligence (AI) model can predict major weather events faster and more accurately than some of the world's most widely used forecasting systems. The model, called Aurora, is trained on more than 1 million hours of global atmospheric data, including weather station readings, satellite images and radar measurements. Scientists at Microsoft say it's likely the largest dataset ever used to train a weather AI model. Aurora correctly forecast that Typhoon Doksuri would strike the northern Philippines four days before the storm made landfall in July 2023. At the time, official forecasts placed the storm's landfall over Taiwan — several hundred miles away. It also outperformed standard forecasting tools used by agencies, including the U.S. National Hurricane Center and the Joint Typhoon Warning Center. It delivered more accurate five-day storm tracks and produced high-resolution forecasts up to 5,000 times faster than conventional weather models powered by supercomputers. More broadly, Aurora beat existing systems in predicting weather conditions over a 14-day period in 91% of cases, the scientists said. They published their findings May 21 in the journal Nature. Researchers hope Aurora and models like it could support a new approach to predicting environmental conditions called Earth system forecasting, where a single AI model simulates weather, air quality and ocean conditions together. This could help produce faster and more consistent forecasts, especially in places that lack access to high-end computing or comprehensive monitoring infrastructure. Related: Google builds an AI model that can predict future weather catastrophes Aurora belongs to a class of large-scale AI systems known as foundation models — the same category of AI models that power tools like ChatGPT. Foundation models can be adapted to different tasks because they're designed to learn general patterns and relationships from large volumes of training data, rather than being built for a single, fixed task. In Aurora's case, the model learns to generate forecasts in a matter of seconds by analyzing weather patterns from sources like satellites, radar and weather stations, as well as simulated forecasts, the researchers said. The model can then be fine-tuned for a wide range of scenarios with relatively little extra data — unlike traditional forecasting models, which are typically built for narrow, task-specific purposes and often need retraining to adapt. The diverse dataset Aurora is trained on not only results in greater accuracy in general versus conventional methods, but also means the model is better at forecasting extreme events, researchers said. Related stories —Google's DeepMind AI can make better weather forecasts than supercomputers —Is climate change making the weather worse? —What is the Turing test? How the rise of generative AI may have broken the famous imitation game In one example, Aurora successfully predicted a major sandstorm in Iraq in 2022, despite having limited air quality data. It also outperformed wave simulation models at forecasting ocean swell height and direction in 86% of tests, showing it could extract useful patterns from complex data even when specific inputs were missing or incomplete. "It's got the potential to have [a] huge impact because people can really fine tune it to whatever task is relevant to them … particularly in countries which are underserved by other weather forecasting capabilities," study co-author Megan Stanley, a senior researcher at Microsoft, said in a statement. Microsoft has made Aurora's code and training data publicly available for research and experimentation. The model has been integrated into services like MSN Weather, which itself is integrated into tools like the Windows Weather app and Microsoft's Bing search results.

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