How Did Mars Acquire Its Moons? – Cyworthy

The moon of Earth stands out as a prominent feature in our night sky. Scientists largely agree that during the early stages of Earth’s formation, a smaller, planet-like object collided with Earth, ejecting a substantial amount of material into space. This debris was subsequently pulled into orbit around Earth due to gravity and maintained a slow enough speed to become trapped in Earth’s gravitational field. However, the
giant impact hypothesis
has provided clarity on the origin of our moon. In contrast, the origins of other moons in our solar system, like the Martian moons Phobos and Deimos, remain a topic of debate.

An alternate theory suggests that two small celestial bodies approached Mars early in its existence and collided with the gas and dust clouds left from its formation. This surrounding dust could have decelerated them sufficiently for Mars’ gravity to capture them. This theory is referred to as the
gas drag capture hypothesis
and may account for the existence of Phobos and Deimos. Furthermore, they are composed of
different materials
than those found on Mars
, which raises additional questions.

One challenge to this theory is that the dust density around Mars would have to be several times greater than current models of solar system formation indicate, to slow down approaching objects effectively. Additionally, there’s a question of probability. Although Phobos and Deimos both have orbits that lie within 2° of the Martian equator, the odds of both objects aligning with Mars at an angle that matches the equator is around only 0.00001%.

To investigate the viability of this scenario, two scientists from Japan developed a model aimed at calculating the trajectory of a Phobos-sized object approaching Mars. The aim was to show, through various challenges, that the gas drag trap hypothesis might not be as implausible as previously believed.

Phobos orbits Mars about 3,700 miles or 6,000 kilometers above the planet’s surface and is slowly falling towards Mars. Deimos orbits Mars at a distance of 14,600 miles, or 23,500 kilometers. “Mars Moons” by Muskid is licensed under CC BY-SA 3.0.

Initially, the researchers defined the pertinent equations of motion to include in their model. This included variables such as the angular velocity of an object approaching Mars, its distance from the planet, its potential energy, and the drag force that reduces its speed. Additionally, they factored in Mars’ mass and the state of the surrounding matter at the time, which they referred to as the primitive atmosphere of Mars. They estimated this atmosphere’s temperature at 200 Kelvin (approximately -73°C or -100°F) and its density at 4.7 × 10.-7 kilograms per cubic meter, increasing near the Martian surface and decreasing exponentially with height.

Next, the team needed to establish the initial orbit of the incoming satellite, testing eight different speeds ranging from 20 meters/second to 160 meters/second (about 45 miles/hour to 360 miles/hour) in 20 meters/second increments. There were 4,096 angles of incidence to be tested relative to Mars’ equator and poles, leading to a total of 32,768 initial trajectory combinations for objects approaching Mars.

Their findings indicated three potential outcomes for objects entering Mars’ primordial atmosphere: they could escape Mars’ gravitational grasp, become temporarily trapped, or be permanently ensnared. Remarkably, nearly all objects approached at the slowest speeds were captured in some capacity, while only around 10% of those at the highest speeds were captured. The researchers posited that about 1 in 50 incoming objects would be permanently secured by Mars, particularly if they lost enough energy, limiting their orbits to within 10 degrees of Mars’ equator.

The research team proposed a potential history for Phobos and Deimos, suggesting that due to their composition, they likely formed in the outer solar system, possibly within or beyond the asteroid belt. Over time, they may have been scattered by Jupiter’s gravitational influence, gradually approaching Mars at the right angles and speeds to be captured by its gas, resulting in their current eccentric orbits. Eventually, their orbits became slower, more circular, and moved closer to Mars.

This proposed scenario aligns well with current observations of Phobos and Deimos. The research team anticipates that future
Mars satellite exploration
missions will further investigate these moons. The planned mission will orbit Mars and then Phobos, conducting detailed observations and remote sensing while collecting surface samples to return to Earth, enhancing our understanding of these moons’ origins. The mission is set to launch in 2026, with Phobos samples expected to arrive back on Earth in 2031.


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Source: sciworthy.com

Astronomers Acquire Post-Perihelion Images of Interstellar Comet 3I/ATLAS

Recent observations of 3I/ATLAS, the third interstellar object confirmed to traverse the solar system following 1I/Oumuamua and 2I/Borisov, reveal a sophisticated multi-jet configuration.

The image of 3I/ATLAS was captured by Lowell Observatory astronomer Qicheng Zhang on October 31, 2025. Image credit: Qicheng Zhang / Lowell Observatory.

Discovered on July 1, 2025, by the NASA-funded ATLAS (Asteroid Terrestrial Impact Last Alert System) survey telescope in Rio Hurtado, Chile, 3I/ATLAS is also referred to as C/2025 N1 (ATLAS) and A11pl3Z.

Originating from the direction of the Sagittarius constellation, this comet holds the designation of being the most dynamically extreme object recorded, characterized by its hyperbolic orbit with high eccentricity and extreme hyperbolic velocity.

3I/ATLAS came closest to the Sun, reaching perihelion, on October 30, 2025.

This interstellar visitor approached within 1.4 AU (astronomical units), or approximately 210 million km, of the Sun, which is just inside Mars’ orbit.

At perihelion, the comet traveled at a remarkable speed of about 68 km/s, and its proximity to the Sun temporarily rendered it invisible to Earth’s telescopes.

Following perihelion, it will once again be observable through telescopes until December as it gradually distances itself from both the Sun and Earth, returning to interstellar space.

The initial post-perihelion optical image of 3I/ATLAS (as shown above) was captured. This was announced on October 31 by astronomer Zhang Qicheng of Lowell Observatory using the Discovery Telescope.

This image of 3I/ATLAS was taken on November 8, 2025 by astronomers from the ICQ Comet Observation Group. Image credit: M. Jaeger / G. Lehmann / E. Prosperi.

On November 8th, three astronomers from the ICQ Comet Observation Group observed the comet situated 29 degrees from the Sun in the sky.

The images they captured depict a complex jet structure with at least seven jets, including several anti-tail planes.

“Given the multitude of jets emerging in various directions, the noted non-gravitational acceleration of 3I/ATLAS implies that more than 10 to 20 percent of its initial mass would need to be ejected near perihelion,” remarked Professor Avi Loeb of Harvard University discussing the ICQ images. He stated,

“Only a small fraction of this mass carries the necessary momentum in the favored direction.”

“Consequently, the debris cloud enveloping 3I/ATLAS likely constitutes a considerable portion of the comet’s original mass.”

This 3I/ATLAS image was taken on November 9, 2025, by astronomers from the British Astronomical Society. Image credit: Michael Buechner / Frank Niebling.

On November 9th, two astronomers from the British Astronomical Association (BAA) studied the comet using two telescopes.

Their combined image displayed a long “smoking” tail along with two anti-tail jets.

“3I/ATLAS is expected to make its closest approach to Earth on December 19, 2025, making the multijet structure an intriguing target for future observations with the Hubble and Webb telescopes,” Professor Loeb mentioned discussing the BAA images. He noted.

The minimum distance to Earth will be 269 million km, roughly 100 times the extent of the jet structure illustrated in the image.

Source: www.sci.news

How Do Small Galaxies Acquire Their Magnetic Fields? – Sciworthy

Among the four fundamental forces in the universe, gravity often comes to mind when considering cosmic phenomena. This is quite logical, as gravity operates over vast distances, exerting its influence on massive objects, making it the most significant and far-reaching force. However, another essential force, known as electromagnetism, also plays a critical role in the study of space.

To begin with, all light is made up of electromagnetic radiation, which consists of oscillating electric and magnetic fields. This includes everything from radio waves to visible light and X-rays. Similar to Earth and the Sun, many celestial bodies are enveloped in magnetic fields. The Earth’s magnetic field serves as a shield against harmful radiation, while the solar magnetic field repels it. The generation of a magnetic field requires the movement of charged particles, such as protons and electrons. Consequently, a variety of objects, including entire galaxies, possess magnetic fields!

Researchers are aware that galaxies have magnetic fields, but it remains uncertain how various galaxies develop different magnetic intensities or how these fields influence their evolution over time. This investigation is further complicated by the fact that galaxies often exist in clusters. For instance, the Milky Way is surrounded by smaller galaxies known as satellites, which exert gravitational pull on each other and interfere with each other’s magnetic fields.

The research team explored how diverse environments in smaller galaxies affected the strength of their magnetic fields. They approached this by simulating the motion of materials within the galaxy as if they were liquids filled with striped particles. Two sets of simulations were conducted, the second of which also included the effects of high-energy particles known as cosmic rays.

In total, they simulated magnetic fields across 13 distinct scenarios, ranging from isolated galaxies with masses 10 billion times that of the Sun to those 10 trillion times greater, accompanied by up to 33 satellites. Each simulation commenced with galaxies exhibiting a magnetic field strength of 10-14 Gauss (g). For context, Earth’s magnetic field strength is about 0.3-0.6 g. The scenarios were evolved over 12 billion simulation years, allowing galaxies to interact, traverse space, and form stars, subsequently tracking the magnetic field strength in smaller galaxies.

Throughout the simulated timeline, the magnetic fields of all galaxies strengthened as star formation progressed. The birth of stars stirs the galactic matter, enhancing magnetic field strength and producing cosmic rays. Most galaxies concluded with magnetic fields ranging from 10-7 to 10-6 G, with larger galaxies typically achieving stronger fields. Interestingly, the researchers found that small galaxies passing in close proximity to larger companions exhibited stronger magnetic fields than equivalent isolated galaxies.

They monitored satellite galaxies over a series of simulations and discovered that, on average, magnetic field strength increased by 2-8 times as these galaxies approached their host. In extreme cases, the satellite’s magnetic field intensified by up to 15 times after nearing the host. In contrast, satellite galaxies that were more distant or had not yet approached their host did not show such significant increases in magnetic field strength.

The researchers interpret their findings to suggest that the more turbulent the interstellar medium (ISM) within a galaxy, the greater the strength of its magnetic field. Orbiting near a host galaxy tends to disturb the ISM of the satellite galaxy, rendering it more magnetic than a solitary small galaxy. Approaching a massive galaxy compresses the satellite, exposing it to magnetizing materials, and both interactions contribute to amplifying the magnetic field strength.

The team recommends that future studies utilize these results to inform radio and gamma-ray observations of galaxies, as these two segments of the electromagnetic spectrum can provide astronomers insights into the magnetic field properties of celestial bodies. They also caution that astronomers conducting simulations of isolated galaxies might yield skewed results since such a scenario does not accurately reflect the reality in which many galaxies are in proximity to companions.

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Source: sciworthy.com

OpenAI in Negotiations to Acquire Programming Tool Windsurf for $3 Billion

OpenAI is reportedly negotiating to acquire Windsurf, an AI-driven programming tool, for approximately $3 billion, according to two informed sources.

This acquisition could potentially draw in thousands of new customers from the tech sector, as it swiftly embraces tools like Windsurf, which enables instant code generation.

Should the deal go through, it would represent OpenAI’s largest acquisition to date, aiming to broaden its offerings beyond its well-known chatbot ChatGPT. Last year, OpenAI acquired Rockset, a startup aimed at assisting businesses in constructing the foundational elements of large-scale computer networks.

Windsurf, previously recognized as Codeum, was valued at $1.25 billion following a $150 million funding round led by the venture capital firm General Catalyst last year.

The agreement is not finalized yet, as the two anonymous sources indicated. Initial reports of discussions have surfaced previously on Bloomberg.

OpenAI currently offers technology that enables users to create their own code. In fact, Windsurf utilizes OpenAI technology or similar systems from firms like Google and Anthropic for code generation.

About four years ago, researchers from companies such as OpenAI and Google started developing systems to analyze extensive text data sourced from the Internet, including digital books, Wikipedia articles, and chat logs. By recognizing patterns within this content, these systems can generate text, including poetry and news articles.

What surprised many was that researchers were able to create their own programming code. Currently, developers use these systems to produce code and integrate it into large software projects with tools like Windsurf and Microsoft’s Copilot.

(Times has filed a lawsuit against OpenAI and its partner Microsoft, accusing them of copyright violation regarding AI Systems news content. Both OpenAI and Microsoft have denied these allegations.)

Developing technologies that enhance coding tools is incredibly costly for companies such as OpenAI, and startups face pressure to generate revenue.

OpenAI anticipates earning around $3.7 billion this year, according to financial documents reviewed by The New York Times. The company expects revenues to reach $11.6 billion next year.

In March, OpenAI concluded a $40 billion funding round, which valued the company at $300 billion, making it one of the most valuable private enterprises globally, alongside prominent players like TikTok parent company ByteDance and SpaceX. This funding round was led by Japan’s SoftBank.

However, scrutiny is placed on this transaction as OpenAI plans to revise its complex corporate structure, and failure to accomplish this by year-end could allow SoftBank to reduce its overall investment to $20 billion.

Source: www.nytimes.com

How did humans acquire the ability to communicate through speech?

Scientists researching human speech believe that this ability likely evolved in the human brain during our evolution from primates, but the exact process remains unclear. These researchers can compare the human brain to that of other primates to study how it changed over time and gave rise to language.

Previous studies have proposed that groove-like structures in the front of the primate brain may aid humans in learning language. To explore if these and other brain changes are involved in language evolution, an international team of scientists recently compared the speech-related regions of human and primate brains. The primates they studied included baboons and chimpanzees.

Using high-resolution scans from sources like the National Chimpanzee Brain Resource and the Human Connectome Project database, the scientists analyzed specific areas of the human and primate brains to identify differences that may have contributed to the development of language.

They focused on brain regions controlling speech, facial expressions, and language, such as the prefrontal extent of the frontal skull (PFOP). They found that the PFOP is fully developed in humans, partially in chimpanzees, and absent in Old World monkeys.

Another notable difference in the human brain was the presence of a groove called the operculum, which was more pronounced on the left side. This suggests that the left hemisphere of the human brain has a larger PFOP compared to the right hemisphere, a feature not found in other primates.

By comparing chimpanzee brains, the researchers found that the size of the chimpanzee’s PFOP was consistent on both sides, indicating a recent full development of the PFOP in humans.

The scientists also examined the distance between two brain grooves, the circular sulcus and the operculum. Previous studies linked these grooves to communication sounds in chimpanzees, leading the researchers to investigate their role in human language development.

Based on their findings, the scientists suggested that the development of certain brain structures like the D-FO and V-FO grooves contributed to the emergence of human language. They emphasized the need for further research to understand how these structures function in the human brain.

In conclusion, changes in brain structures like the operculum and cerebral sulci likely play a role in human language acquisition, but more research is needed to fully understand this association. Future studies should explore how specific features like the PFOP function in the human brain to better comprehend their role in speech development.


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Source: sciworthy.com

New study finds bumblebees can acquire intricate skills through social learning

Culture refers to behaviors that are socially learned and persist within a group over long periods of time. Growing evidence suggests that animal culture, like human culture, may be cumulative. However, the accumulated culture of humans contains behaviors so complex that they exceed the ability of individuals to discover them independently over a lifetime. New research shows that the buff-tailed bumblebee (Western bumblebee) can learn how to open new two-step puzzle boxes and obtain food from trained conspecifics, even if they fail to open them independently.

Bufftail Bumblebee (Western bumblebee) socially learn behaviors that are too complex to innovate alone. Image credit: Ralphs Fotos.

“This groundbreaking research opens new avenues for understanding the evolution of intelligence and social learning in animals,” said study lead author Lars, a researcher at Queen Mary University of London. Professor Chitka said.

“This challenges long-held assumptions, paves the way to further explore the cognitive wonders hidden in the insect world, and even suggests the exciting possibility of accumulated culture among seemingly simple creatures. Masu.”

Professor Chitka and his colleagues designed a two-step puzzle box that required bumblebees to perform two different actions in sequence to access a sweet reward at the end.

Training bees to do this was no easy task, and we had to help them by adding additional rewards along the way.

This temporary reward was eventually taken away, and the bees were forced to open the entire box before getting the treat.

Surprisingly, while individual bees had difficulty solving the puzzle from the beginning, bees allowed to observe trained demonstration bees completed the entire sequence, including the first step. You just learned quickly and got rewarded at the end.

This study shows that bumblebees have a level of social learning that was previously thought to be unique to humans.

They can share and acquire behaviors that are beyond the cognitive capacity of individuals. This ability is thought to underpin the vast and complex nature of human culture, and was previously thought to be exclusive to us.

“This is a very difficult task for bees,” said study lead author Dr. Alice Bridges, a researcher at Queen Mary University of London and the University of Sheffield.

“They had to learn two steps to get the reward, and the first action in the sequence was not rewarded.”

“Initially, we had to train demonstration bees to include temporary rewards, which highlighted the complexity.”

“But other bees learned the sequence from the social observations of these trained bees, without ever experiencing the reward of the first step.”

“But when we tried to get other bees to open the box without a bee trained to show them the solution, they couldn't open it at all.”

This study opens up exciting possibilities for understanding the emergence of cumulative culture in the animal kingdom, beyond individual learning.

Cumulative culture refers to the gradual accumulation of knowledge and skills over generations, allowing increasingly complex behaviors to develop.

The ability of bees to learn such complex tasks from demonstrators suggests potential pathways for cultural transmission and innovation beyond the bees' individual learning abilities.

“This challenges the traditional view that only humans can learn socially complex behaviors beyond individual learning,” says Professor Chitka.

“Many of the most remarkable achievements of social insects, such as the nesting structures of honey bees and wasps and the agricultural habits of ants that farm aphids and fungi, may have first been spread by imitation by clever innovators, and then spread. , which is increasingly likely.'' They eventually became part of the species-specific behavioral repertoire. ”

Regarding this research, paper Published in the Journal on March 6, 2024 Nature.

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AD bridge other. Bumblebees socially learn behaviors that are too complex to innovate alone. Nature, published online March 6, 2024. doi: 10.1038/s41586-024-07126-4

Source: www.sci.news