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ESA’s Euclid lifts off on quest to unravel the cosmic mystery of dark matter and dark energy
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By USH
During a recent interview, Darkjournalist Daniel Liszt lays out beyond critical information regarding the recent sightings of mystery drones across the U.S.
Here is a brief summary outlining the key points of what Darkjournalist believes is actually happen, according to his analysis.
The unfolding events surrounding the mystery drone swarms and UFO/Orb sightings appear to be part of a larger, coordinated operation led by covert organizations. At the heart of this situation, we see an apparent "dry run" for a massive UFO related event, something unprecedented in scale.
Two significant secret structures are operating in overdrive: the Continuity of Government (COG) framework, the Secret Space Program (SSP), and their affiliated Deep State entities.
Reports describe unidentified drones hovering over populated metropolitan areas, creating unease and confusion. These occurrences seem designed to provoke public panic and gauge reactions to aerial threats. This data mining effort aligns with a broader plan to cement the idea of a UFO threat in the collective consciousness.
The objective appears to involve large-scale public tests through overflights of drones to observe how communities respond to the perception of an "alien" threat. This effort dovetails with the government’s ability to invoke emergency powers, potentially leading to the activation of the Continuity of Government (COG) program.
In recent months, reports indicate that combatant commanders have been conducting drone tests under the guise of countering Unidentified Aerial Phenomena (UAP).
Historical patterns show that drills often precede major events. For example, during the events of 9/11, a drill reportedly transitioned into an actual crisis. The concern now is whether the current exercises, involving drones and UAP narratives, could similarly go live.
The recent increase in mystery drone sightings across the U.S. suggests a coordinated rollout of these narratives. There are rumors of additional drills, described as "full lockout" exercises, are scheduled to continue through the holiday season. These events involve the military taking over air traffic and communication systems for hours at a time.
NORAD and NORTHCOM are central to these operations. In an emergency scenario, the NORAD Commander—who also serves as the COG combatant commander—would assume control of the United States under the COG framework.
Insiders hint at a significant public spectacle on the horizon, with the possibility of transitioning from a test scenario to a live event. This could involve widespread sightings of drone swarms, coupled with UAP reports, creating a perceived crisis that demands emergency powers.
The recent drone and UFO/Orb activities reflect a calculated test by elements within the Deep State to shape public perception and readiness for a potential UFO-related crisis. These operations aim to solidify control and prepare the groundwork for leveraging emergency powers under a fabricated or exaggerated threat scenario.
In summary: The recent flurry of activities points to a deliberate effort to shape how we think and react to an extraterrestrial threat, real or not. At its core, this is a calculated test, designed to prepare the public for a potential UFO crisis where emergency powers could reshape the social and political landscape.
It might be a coincidence, but this year Congress passed a law granting NORTHCOM authority in the event drones are deemed a national security threat, potentially triggering the implementation of Continuity of Government (COG). This scenario could unfold before Trump’s inauguration, bypassing both Biden’s presidency and Trump’s assumption of office, leading instead to an emergency powers president.
This isn’t just about UFOs or drones, it's about power, perception, and control. The Deep State is losing its grip, pushing them to play their final card: a fake UFO invasion to maintain authority. This is why their once-hidden advanced technologies are now being revealed, indicating ongoing testing and strategic preparations. Evidence points to highly advanced drone technology, cutting edge tech designed to simulate a so-called "UFO threat."
So, the next time you glance up at the sky and spot something strange, remember: what you’re seeing might not be an alien invasion. It could be the latest move in a high-stakes chess game, played by forces that thrive in the shadows. View the full article
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By NASA
Hubble Space Telescope Hubble Home Overview About Hubble The History of Hubble Hubble Timeline Why Have a Telescope in Space? Hubble by the Numbers At the Museum FAQs Impact & Benefits Hubble’s Impact & Benefits Science Impacts Cultural Impact Technology Benefits Impact on Human Spaceflight Astro Community Impacts Science Hubble Science Science Themes Science Highlights Science Behind Discoveries Hubble’s Partners in Science Universe Uncovered Explore the Night Sky Observatory Hubble Observatory Hubble Design Mission Operations Missions to Hubble Hubble vs Webb Team Hubble Team Career Aspirations Hubble Astronauts News Hubble News Hubble News Archive Social Media Media Resources Multimedia Multimedia Images Videos Sonifications Podcasts E-books Online Activities Lithographs Fact Sheets Glossary Posters Hubble on the NASA App More 35th Anniversary 2 min read
Hubble Spies a Cosmic Eye
This NASA/ESA Hubble Space Telescope image features the spiral galaxy NGC 2566. ESA/Hubble & NASA, D. Thilker This NASA/ESA Hubble Space Telescope image features the spiral galaxy NGC 2566, which sits 76 million light-years away in the constellation Puppis. A prominent bar of stars stretches across the center of this galaxy, and spiral arms emerge from each end of the bar. Because NGC 2566 appears tilted from our perspective, its disk takes on an almond shape, giving the galaxy the appearance of a cosmic eye.
As NGC 2566 appears to gaze at us, astronomers gaze right back, using Hubble to survey the galaxy’s star clusters and star-forming regions. The Hubble data are especially valuable for studying stars that are just a few million years old; these stars are bright at the ultraviolet and visible wavelengths to which Hubble is sensitive. Using these data, researchers can measure the ages of NGC 2566’s stars, which helps piece together the timeline of the galaxy’s star formation and the exchange of gas between star-forming clouds and the stars themselves.
Hubble regularly teams up with other astronomical observatories to examine objects like NGC 2566, including the NASA/ESA/CSA James Webb Space Telescope. Webb data complements Hubble’s by going beyond the infrared wavelengths of light Hubble can see, better defining areas of warm, glowing dust. At even longer wavelengths, the Atacama Large Millimeter/submillimeter Array (ALMA) of 66 radio telescopes that work together can capture detailed images of the clouds of gas and dust in which stars form. Together, Hubble, Webb, and ALMA provide an overview of the formation, lives, and deaths of stars in galaxies across the universe.
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Hubble Focus E-Book: Galaxies through Space and Time
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NASA’s Goddard Space Flight Center, Greenbelt, MD
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Last Updated Dec 19, 2024 Editor Andrea Gianopoulos Location NASA Goddard Space Flight Center Related Terms
Astrophysics Astrophysics Division Galaxies Goddard Space Flight Center Hubble Space Telescope Spiral Galaxies Keep Exploring Discover More Topics From NASA
Hubble Space Telescope
Since its 1990 launch, the Hubble Space Telescope has changed our fundamental understanding of the universe.
Hubble’s Partners in Science
Hubble’s Night Sky Challenge
Hubble’s Galaxies
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By NASA
Download PDF: Statistical Analysis Using Random Forest Algorithm Provides Key Insights into Parachute Energy Modulator System
Energy modulators (EM), also known as energy absorbers, are safety-critical components that are used to control shocks and impulses in a load path. EMs are textile devices typically manufactured out of nylon, Kevlar® and other materials, and control loads by breaking rows of stitches that bind a strong base webbing together as shown in Figure 1. A familiar EM application is a fall-protection harness used by workers to prevent injury from shock loads when the harness arrests a fall. EMs are also widely used in parachute systems to control shock loads experienced during the various stages of parachute system deployment.
Random forest is an innovative algorithm for data classification used in statistics and machine learning. It is an easy to use and highly flexible ensemble learning method. The random forest algorithm is capable of modeling both categorical and continuous data and can handle large datasets, making it applicable in many situations. It also makes it easy to evaluate the relative importance of variables and maintains accuracy even when a dataset has missing values.
Random forests model the relationship between a response variable and a set of predictor or independent variables by creating a collection of decision trees. Each decision tree is built from a random sample of the data. The individual trees are then combined through methods such as averaging or voting to determine the final prediction (Figure 2). A decision tree is a non-parametric supervised learning algorithm that partitions the data using a series of branching binary decisions. Decision trees inherently identify key features of the data and provide a ranking of the contribution of each feature based on when it becomes relevant. This capability can be used to determine the relative importance of the input variables (Figure 3). Decision trees are useful for exploring relationships but can have poor accuracy unless they are combined into random forests or other tree-based models.
The performance of a random forest can be evaluated using out-of-bag error and cross-validation techniques. Random forests often use random sampling with replacement from the original dataset to create each decision tree. This is also known as bootstrap sampling and forms a bootstrap forest. The data included in the bootstrap sample are referred to as in-the-bag, while the data not selected are out-of-bag. Since the out-of-bag data were not used to generate the decision tree, they can be used as an internal measure of the accuracy of the model. Cross-validation can be used to assess how well the results of a random forest model will generalize to an independent dataset. In this approach, the data are split into a training dataset used to generate the decision trees and build the model and a validation dataset used to evaluate the model’s performance. Evaluating the model on the independent validation dataset provides an estimate of how accurately the model will perform in practice and helps avoid problems such as overfitting or sampling bias. A good model performs well on
both the training data and the validation data.
The complex nature of the EM system made it difficult for the team to identify how various parameters influenced EM behavior. A bootstrap forest analysis was applied to the test dataset and was able to identify five key variables associated with higher probability of damage and/or anomalous behavior. The identified key variables provided a basis for further testing and redesign of the EM system. These results also provided essential insight to the investigation and aided in development of flight rationale for future use cases.
For information, contact Dr. Sara R. Wilson. sara.r.wilson@nasa.gov
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By European Space Agency
Video: 00:01:22 An ethereal dance of misty clouds of interstellar dust with a myriad of distant stars and galaxies speckled like paint drops over a black canvas. This is a sonification of a breathtaking image king image taken by ESA's Euclid space telescope of the young star-forming region Messier 78.
The sonification offers a different representation of the data collected by Euclid, and lets us explore the stellar nurseries in M78 through sound. Close your eyes and listen to let the cosmic image be drawn by your mind’s eye, or watch as the traceback line in this video follows the sounds to colour the image from left to right.
The twinkling sounds of various pitches and volumes represent the galaxies and stars in the frame. The pitch of the sound points towards where we see the dot of light in the image. Higher pitches tell us that a star or galaxy appears further at the top in the image along the traceback line.
The brightness of these objects in and around M78 are represented by the volume of the twinkles. Whenever we hear a particularly loud clink, the star or galaxy that Euclid observed appears particularly bright in the image.
Underlying these jingling sounds, we can hear a steady undertone, made up of two chords which represent different regions in Messier 78. This sound intensifies as the traceback line approaches first the brightest, and later the densest regions in the nebula.
The first two deeper crescendos in this undertone indicate two patches in the image where the most intense colour is blue/purple. These appear as two ‘cavities’ in M78, where newly forming stars carve out and illuminate the dust and gas in which they were born.
The chords intensify a third time at a slightly higher pitch corresponding to the red-orange colours in the image, as the sound draws over the densest star-forming region of the frame. This stellar nursery is hidden by a layer of dust and gas that is so thick that it obscures almost all the light of the young stars within it.
As the sound traces over the entire Euclid image, these different tones together form a cosmic symphony that represents the image of Messier 78, and the stars and galaxies that lie behind and within it. You can read more about this image that was first revealed to the eyes of the world earlier this year here.
Many thanks to Klaus Nielsen (DTU Space / Maple Pools) for making the sonification in this video. If you would like to hear more sonifications and music by this artist, please visit: https://linktr.ee/maplepools
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By NASA
ESA/Webb, NASA & CSA, P. Zeidler This new image of star cluster NGC 602, released on Dec. 17, 2024, combines data from NASA’s Chandra X-ray Observatory with a previously released image from the agency’s James Webb Space Telescope. Webb data provide the ring-like outline of the “wreath,” while X-rays from Chandra (red) show young, massive stars that are illuminating the wreath, sending high-energy light into interstellar space.
NGC 602 lies on the outskirts of the Small Magellanic Cloud, which is one of the closest galaxies to the Milky Way, about 200,000 light-years from Earth.
See another new, festive image: the “Christmas tree cluster.”
Image credit: X-ray: NASA/CXC; Infrared: ESA/Webb, NASA & CSA, P. Zeilder, E.Sabbi, A. Nota, M. Zamani; Image Processing: NASA/CXC/SAO/L. Frattare and K. Arcand
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