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A groundbreaking study on the freezing of water droplets suspended in air sheds light on a key process in Earth's water cycle: the transformation of supercooled water into ice.

A new platform for studying neuroinflammatory diseases, utilizing advanced 3D bioprinting technology has been developed.

This Hubble image shows a supernova named SN 2022aajn in a distant galaxy about 600 million light-years away with the unwieldy name of WISEA J070815.11+210422.3. However, the obtuse yet scientifically descriptive names aren’t what’s important.

What’s important is that SN 2022aajn is a Type 1a supernova, also known as a standard candle, and this image is part of a critical effort in cosmology.

Standard candles are an important part of the Cosmic Distance Ladder (CDL). Astronomers use the CDL to determine accurate distances to objects at extreme distances from us. There are different types of standard candles, though Type 1a supernovae are considered the most reliable. What do all standard candles have in common?

They have a known intrinsic luminosity. That means that they emit the same amount of energy across all wavelengths in all directions. So no matter from what angle it’s measured, its the same luminosity. For clarity, our Sun has intrinsic luminosity.

Astronomers compare a standard candle’s intrinsic luminosity with its apparent or observed brightness. Note the different terms “luminosity” and “brightness.” Brightness depends on both an object’s luminosity and how that luminosity is diminished by distance and any intervening matter like dust.

The Cosmic Distance Ladder is ubiquitous in cosmology and does a good job. However, it still faces some problems. The primary problem has to do with calibration: How can astronomers determine what a candle’s absolute magnitude is? How can they accurately describe the class of objects called Type 1a SN so that they can recognize all of them? And how can they find enough of them at well-known distances in order to determine their intrinsic luminosity with extreme accuracy?

The Cosmic Distance Ladder starts out using parallax, but it has its limits. Astronomers rely on standard candles beyond paralax. Image Credit: By ESA/Hubble, CC BY 4.0, https://commons.wikimedia.org/w/index.php?curid=49212250

This Hubble image is part of the effort. As part of an observing program, the Hubble is observing 100 known Type 1a supernovae to more finely calibrate our understanding of standard candles and their distances.

The program’s name gives a good idea of its goal. It’s named “Reducing Type Ia Supernova Distance Biases by Separating Reddening and Intrinsic Color.” Prof. Ryan Foley of the University of California at Santa Cruz is the Principal Investigator.

If Type 1a supernova exploded in a Universe without any dust, astronomers’ work would be simplified. But, of course, they dont. They explode in galaxies with their own dust. There can also be a lot of intergalactic dust between us and distant SN. All that dust reddens the light from the supernova, making its intrinsic luminosity more difficult to determine.

Type 1a Supernovae occur in binary systems where one star is a massive white dwarf. As its companion ages and swells, the white dwarf draws material away from the companion onto its surface. Eventually, the white dwarf explodes. Image Credit: By NASA, ESA and A. Feild (STScI); vectorisation by chris ? – http://hubblesite.org/newscenter/archive/releases/star/supernova/2004/34/image/d/, CC BY 3.0, https://commons.wikimedia.org/w/index.php?curid=8666262

In observations, the reddening from dust gets tangled up with the reddening from redshift. Dust in the intergalactic medium is about the same size as the wavelength of blue light. The dust absorbs and scatters the light from distant objects, making their light more red by the time it reaches us. Professor Foley’s observing program is an effort to “remove” intergalactic dust from our observations.

“Accurate distance measurements and unbiased cosmological constraints from Type Ia supernovae (SNe Ia) rely on proper correction for host-galaxy dust reddening that may attenuate the observed SN brightness,” Foley and his co-researchers write. To get around this, astronomers use what’s called a “reddening law.” “A correction is made by comparing observed and intrinsic color, and using a reddening law to determine extinction,” they write.

But reddening laws can be difficult to work with. It’s a delicate matter. “This procedure is nontrivial since a SN’s intrinsic color correlates with its luminosity in a manner nearly indistinguishable from the effects of dust reddening at optical wavelengths,” Foley writes in the description of the observing campaign.

Astronomers use a somewhat simplified way to determine how red a distant supernova is by treating the reddening from both dust and distance the same. “The current standard for measuring SN distances treats both fainter-redder relations as a single SN color law,” Foley explains. However, this introduces a bias into measurements since both causes are unlikely to contribute equally and uniformly to the reddening.

“This issue is currently SN cosmology’s largest systematic uncertainty and if not addressed will prevent future cosmology experiments from meeting their goals,” Foley explains. He also says that the error can be as large as about 6%. That’s a lot when measuring objects that are hundreds of millions of light-years away, and even much further than that.

How can astronomers solve this problem? By getting better data and more of it. That’s the motivation for Foley’s campaign, which tries to get around the problem by observing across multiple wavelengths, something the Hubble is built to do.

“The path to breaking the degeneracy between SN color and dust reddening is to extend observations to the UV and NIR, where the dust and intrinsic color, respectively, dominate the observed color,” the observing program’s description states.

The researchers will try to get around the SN cosmology problem by using the Hubble to survey 100 Type Ia supernovae in seven wavelength bands from ultraviolet to near-infrared. The leading image is a combination of image data from four infrared wavelengths, since IR passes through dust more easily than either UV or visible light. The researchers will then compare the brightness of the SNe across the wavelengths and disentangle the distance reddening effect from the dust reddening effect.

We’re accustomed to the Hubble’s “eye candy” images that have been gracing web pages and magazines for decades now. They’ve transformed our understanding of nature. But the telescope’s purely scientific side is where some of its real transformative power lies.

An accurate cosmic distance ladder is integral to cosmology. By helping scientists determine accurate distances to standard candles, the Hubble is helping develop a more accurate cosmic distance ladder, paving the way for a better understanding of the Universe.

The post The Hubble Space Telescope is a Powerful Science Instrument Despite its Age appeared first on Universe Today.

It seems everyone is talking about the Moon and everyone wants to get their foot in the door with the renewed passion for lunar exploration. ESA too have jumped into the lunar landing game having just signed a contract with Thales Alenia Space to build its Argonaut Lunar Lander. Compared to other landers, it will be unique in its ability to handle the harsh night and day conditions on the lunar surface. Each mission is planned to have a 5 year life and will have a standard descent and cargo module but with different payloads determined by the Moon. If all goes to plan then the first lander will fly in 2031. 

The Moon, Earth’s only natural satellite, is a celestial body that has fascinated us for centuries. It orbits Earth at an average distance of about 384,400 kilometres and is a barren, rocky surface covered in craters, mountains, and vast plains of solidified lava. Its lack of atmosphere results in extreme temperature fluctuations, with daytime temperatures reaching up to 127°C and nighttime temperatures plummeting as low as -173°C. 

The occultation of Aldebaran by the Moon in 2016. Credit: Andrew Symes.

Since the Apollo missions of the 1960’s lunar exploration has become a central part of space science.  The first major milestone was achieved in 1959 when the Soviet Luna 2 mission became the first human-made object to impact the Moon. This was followed by Luna 9, which successfully landed and transmitted images from the surface. This was followed by Apollo 11 and humanity’s first steps on another celestial body. Since then robotic missions like China’s Chang’e program, India’s Chandrayaan missions, and NASA’s Artemis program have aimed to study lunar water ice, geology, and sustainability for long-term human presence. 

Apollo 11 launch using the Saturn V rocket

The European Space Agency have got in on the act now with their plans to build Argonaut, an autonomous lunar lander. It will launch on regular missions to the moon and can be used for delivering rovers, infrastructure, instrumentation or resources to the Moon for lunar explorers. The lander will compose of the descent module, the payload and the cargo platform which will act as the interface between the lander and the payload and will integrate operations between the two. 

ESA signed their contract with Thales Alenia Space in Italy, a joint venture and prominent player in the global space market. They have been delivering high-tech solutions for navigation, telecommunication and Earth observation for over 40 years. They will be leading the European group to build the descent module with the remaining core team from the Group’s UK and France. 

Artist’s impession of the Lunar Gateway with the Orion spacecraft docked on the left side. Credit: ESA

Once complete, Argonaut will become a key part of ESA’s lunar exploration strategy and will integrate with their Lunar Link on the new lunar Gateway. This new international space station is planned to orbit the Moon as part of the NASA Artemis programme. Argonaut will become one of Europe’s main contributions to international lunar exploration as nations work together to establish permanent presence on our nearest celestial neighbour. 

Source : Argonaut: a first European lunar lander

The post ESA is Building its Own Lunar Lander appeared first on Universe Today.

Seven years ago, researchers caught an unexpected phenomenon on film: A pool of red dye that somehow 'knew' how to solve a maze filled with milk. Propelled forward by a couple drops of soap, it unerringly found its way, avoiding dead ends and even making 90 degree turns in its path toward the exit.

Through a multi-university collaboration, researchers have discovered a new, solid lubricating mechanism that can reduce friction in machinery at extremely high temperatures, well beyond the breakdown temperature of traditional solid lubricant such as graphite.

Scientist have concluded water did not arrive as early during Earth's formation as previously thought, an insight that bears directly on the question of when life originated on the planet. The finding is significant because the data reported by the study support the idea that water arrived towards the final stages of Earth's development into a planet from dust and gas, what geologists refer to as late accretion.

We can’t help ourselves but wonder about life elsewhere in the Universe. Any hint of a biosignature or even a faint, technosignature-like event wrests our attention away from our tumultuous daily affairs. In 1984, our wistful quest took concrete form as SETI, the Search for Extraterrestrial Intelligence.

Unfortunately, or maybe fortunately, SETI has turned up nothing. Recently, scientists used a powerful new data system to re-examine data from one million cosmic objects and still came up empty-handed. Did they learn anything from this attempt?

This effort used COSMIC, which stands for Commensal Open-Source Multimode Interferometer Cluster. It’s a signal-processing and algorithm system attached to the Karl G. Jansky Very Large Array (VLA) radio astronomy observatory. According to SETI, it’s designed to “search for signals throughout the Galaxy consistent with our understanding of artificial radio emissions. “

Modern astronomy generates vast volumes of data and algorithms and automated processing are needed to comb through it all. So far, COSMIC has observed more than 950,000 objects, and the results of the effort are in a new paper. It’s titled “COSMIC’s Large-Scale Search for Technosignatures during the VLA sky Survey: Survey Description and First Results” and will be published in The Astronomical Journal. The lead author is Chenoa Tremblay from SETI.

Image of radio telescopes at the Karl G. Jansky Very Large Array, located in Socorro, New Mexico. Image Credit: National Radio Astronomy Observatory

“The place of humanity in the Universe and the existence of life is one of the most profound and widespread questions in astronomy and society in general,” the authors write. “Throughout history, humans have marvelled at the starry night sky.”

In our modern technological age, we marvel not only with our eyes but with powerful telescopes. The Karl G. Jansky Array is one of those telescopes, though it’s actually 28 radio dishes working together as an interferometer. Each one is 25 meters across, and they’re all mounted on movable bases that are maneuvered around railway tracks. This gives the system the ability to change its radius and density so it can balance its angular resolution and its sensitivity.

The Array is used to observe astronomical objects like quasars, pulsars, supernova remnants, and black holes. It’s also used to search trillions of systems quickly for signs of radio transmissions.

Currently, the VLA is engaged in the VLA Sky Survey (VLASS), a long-term effort to detect transient radio signals in the entire visible sky. The elegance of the COSMIC system is that it can “tag along” as VLASS progresses. “COSMIC was designed to provide an autonomous real-time pipeline for observing and processing data for one of the largest experiments in the search for extraterrestrial intelligence to date,” the authors write.

One of the problems facing modern astronomy is the deluge of data. There aren’t enough astronomers or students to possibly manage it. “The idea is that we are receiving increasing quantities of data that must be sorted in new ways in order to find information of scientific interest,” the authors write. “Developing algorithms to search through data efficiently is a challenging part of searching for signs of technology beyond our solar system.”

There aren’t enough human brains to manage the tidal wave of valuable data created by modern astronomy. The signals we seek are buried in this wave, and we need automated help to find them. Image Credit: DALL-E

COSMIC is a digital signal processing pipeline that VLASS data flows through. It searches for signals that display temporal and spectral characteristics consistent with our idea of what an artificial technological signal would look like.

The sky is full of radio signals from astrophysical objects. In order for a signal to be considered a technosignature, it needs to be a narrowband signal, and its frequency should change over time as a result of the Doppler effect. That still leaves potentially millions of hits. Researchers are forced to make other assumptions about what might constitute a technosignature, and COSMIC filters through signals based on those assumptions. “In this pipeline, extraterrestrial technosignatures are characterized by a set of assumptions and conditions that, if not met, are used to eliminate hits that do not meet these assumptions,” Tremblay and her co-authors write. “The output of this search is a database of “hits” and small cutouts of the phase-corrected voltage data for each antenna around the hits called “postage stamps.”

COSMIC examined more than 950 million objects in space for technosignatures and found nothing. But that’s okay. SETI scientists still learned things from the effort by testing their system.

“As shown in <Figure 15>, within the last 11 months of operation, COSMIC has observed over 950,000 fields and is rapidly becoming one of the largest SETI experiments ever designed,” the authors write.

Figure 15 from the paper shows a plot in galactic coordinates of all the coordinates currently in the database observed from 29 March 2023 to 14 July 2024. The orange points represent data from
frequencies below 4 GHz (S-band), and the blue points are from data collected above 4 GHz (C-band). Image Credit: Tremblay et al. 2025.

Though COSMIC has observed almost 1 million sources, researchers focused on a small subset to rigorously test the postprocessing system. In a test field of 30 minutes of data, they searched toward 511 stars from the Gaia catalogue. “In this search, no potential technosignatures were identified,” the authors write.

However, this is just the beginning and constitutes a successful test of the system. Future efforts with COSMIC will be both faster and more automated, which is necessary to manage the vast volume of data in modern astronomy.

“This work overall represents an important milestone in our search,” the authors write in their paper’s conclusion. “With the rapidly growing database, we need new methods for sorting through the data, and this paper describes a rapid and viable filtering mechanism.”

Research: COSMIC’s Large-Scale Search for Technosignatures during the VLA Sky Survey:
Survey Description and First Results

The post SETI Researchers Double-Checked 1 Million Objects for Signs of Alien Signals appeared first on Universe Today.

Recognising that someone lacks information you possess is key for effective communication and cooperation, and bonobos seem to share this skill with humans

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: sparsity and symmetry.

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: sparsity and symmetry.

Scientists are hoping a new research technique will help unlock underwater secrets of marine wildlife.

National targets for solar and wind power will see reliance on natural gas plummet, reducing electricity price volatility across Europe, with major beneficiaries including the UK and Ireland, the Nordics, and the Netherlands.

Tiny copper 'nano-flowers' have been attached to an artificial leaf to produce clean fuels and chemicals that are the backbone of modern energy and manufacturing.

Researchers have developed a computer model to help scientists identify tumor-fighting immune cells in patients with lung cancer treated with immune checkpoint inhibitors.

Researchers have developed a way to print nanoparticles like ink, creating inexpensive sweat sensors that can continuously monitor multiple molecules.

Electrochemical reaction-based stimuli-responsive materials are shaping up the era of innovative display devices. By embedding luminescent europium(III) complexes and color-changing viologen derivatives in a layered clay matrix, the device achieves simultaneous control of light emission and color at low voltage. The use of clay-based materials also highlights an eco-friendly approach to enhancing electronic device performance. This innovation could revolutionize display technology and the development of sensors, adaptable to changing light conditions.

Electrochemical reaction-based stimuli-responsive materials are shaping up the era of innovative display devices. By embedding luminescent europium(III) complexes and color-changing viologen derivatives in a layered clay matrix, the device achieves simultaneous control of light emission and color at low voltage. The use of clay-based materials also highlights an eco-friendly approach to enhancing electronic device performance. This innovation could revolutionize display technology and the development of sensors, adaptable to changing light conditions.

Most metals expand when their temperature rises. This effect is extremely undesirable for many technical applications. Now, scientists have created a new material that hardly changes in length over an extremely wide temperature range.

Engineers developed a training method for multiagent systems, such as large numbers of drones, that can guarantee their safe operation in crowded environments.