BepiColombo is a joint ESA/JAXA mission to Mercury. It was launched in 2018 on a complex trajectory to the Solar System’s innermost planet. The ESA reports that the spacecraft’s thrusters have lost some power.
BepiColombo’s mission is to complete a comprehensive investigation of Mercury’s magnetosphere, magnetic field, and internal and external structure. But travelling around in the inner Solar System is complicated, and the BepiColombo spacecraft will use more energy getting to Mercury than it takes to get to Pluto. The spacecraft will perform nine planetary flybys before reaching its destination at the end of 2025. BepiColombo has already performed one gravity assist at Earth, two at Venus, and five at Mercury. It’ll perform one more at Mercury in January 2025.
The Mercury Transfer Module (MTM) is the part of the spacecraft that delivers a pair of orbiters to Mercury. On April 26th, as the spacecraft was about to execute its next maneuver, the MTM didn’t deliver enough electrical power to its thrusters. A team working on it restored the thrust back to 90% on May 7th. But the MTM still isn’t deliver enough electricity to get back to 100% thrust.
Despite the power problems, the spacecraft is on track to complete its final Mercury flyby. A team is working to maintain the current power level and to understand how the diminished thrust will affect future maneuvers. They’re also working on restoring full power to the thrusters. To facilitate this, the mission’s flight control team at the European Space Operations Centre in Darmstadt, Germany, has arranged additional ground station passes.
BepiColombo employs a solar-electric propulsion system. Two 15-meter-long solar cells gather energy and deliver it to four ion thrusters that use xenon propellant. The thrusters are mounted on gimbals, making them aimable.
This schematic shows the components of BepiColombo’s solar-electric propulsion system minus the solar arrays. There are four T6 gridded ion thrusters mounted on gimbals, three tanks of xenon gas holding 1,400 kg of xenon gas, a high-pressure regulator, four flow control units and two power processing units. The system also includes several metres of high-voltage harness and piping required to connect this complex system together. Image Credit: ESABepiColombo consists of three separate spacecraft. The Mercury Transfer Module is kind of like a tugboat delivering two separate orbiters to Mercury. One of the orbiters is the Mercury Planetary Orbiter and it carries 11 scientific instruments, including cameras, several spectrometers, a magnetometer, and others. The other one is the Mercury Magnetospheric Orbiter, largely built by JAXA. It carries five groups of instruments, including one group that will study the plasma and neutral particles from the planet, its magnetosphere, and the solar wind.
This simple schematic shows the three separate spacecraft that combine to make the BepiColombo mission. Image Credit: ESAThe ESA says that they’ll share more information as it becomes available.
The post The BepiColombo Mission To Mercury is Losing Power appeared first on Universe Today.
Walking along on the surface of the Moon, as aptly demonstrated by the Apollo astronauts, is no easy feat. The gravity at the Moon’s surface is 1/6th of Earth’s and there are plenty of videos of astronauts stumbling, falling and then trying to get up! Engineers have come up with a solution; a robotic arm system that can be attached to an astronauts back pack to give them a helping hand if they fall. The “SuperLimbs” as they have been called will not only aid them as they walk around the surface but also give them extra stability while carrying out tasks.
The team of MIT engineers identified the problem when considering movement across the lunar surface and were inspired to innovate when they saw videos of astronauts struggling. They acknowledged that while the astronauts were physically very capable, the combination of bulky space suits and 1/6th gravity was recipe for disaster. If an astronaut becomes unbalanced then even though gravity is less, their inertia is the same and they will still fall.
Sample collection on the surface of the Moon. Apollo 16 astronaut Charles M. Duke Jr. is shown collecting samples with the Lunar Roving Vehicle in the left background. Image: NASAThe solution they designed has been dubbed the Supernumerary Robotic Limbs can be built into their backpack and when needed, be extended. A prototype has been built and it includes a control system to operate the limbs. It was tested on a willing group of volunteers who donned suits to restrict mobility in an attempt to simulate the cumbersome space suits.
As the volunteers attempted to get up from sitting or lying position, the researchers looked at how they moved and how the restrictive suits limited their mobility. The suits were adjusted to more closely simulate a space suit. Using the suit to mimic the stiffness of a traditional suit they got as close as possible to real world testing. The movements of the team in the restricted suits was similar to normal movement but the effort was far less when the SuperLimbs were used. They also found that the volunteers used a common sequence of motions from one step in the process to the next. Using this information enabled them to build the control system to provide maximum efficiency.
The control system that has been built is intelligent enough to detect the movement of the volunteers be they lying on their side, front or back. Having learned how people usually get up from such positions the system can detect the movement and provide suitable assistance to help.
The team hope that the benefits of the system will go further than just helping the astronauts recover. By making it easier to get up, the astronauts will be able to conserve energy for other important tasks. With Artemis just around the corner and a return to human lunar exploration, it may well be that the ‘SuperLimbs’ will soon be a regular sight on human space explorers.
Source : Robotic “SuperLimbs” could help moonwalkers recover from falls
The post Astronauts Could Deploy Extra Arms to Stay Stable on the Moon appeared first on Universe Today.
In the quest for intelligent machines, approaching, or even surpassing human intelligence, has been a prominent dot on the horizon since the 1950s. Aside from the various technological challenges, I believe this quest is enormously difficult for three reasons:
All this makes it difficult to “clone” intelligence. Consequently, experts disagree on when we will reach human-level AI. The dot on the horizon shifts with time and continuously seems to be equally far away (as in the quip “AI is five years away…and always will be”). Yet it is not inconceivable that the intelligence code will be cracked. Chess once seemed to require some form of human intelligence; you had to be able to think strategically and assess your opponent. We now know that all such “what ifs” and “if thens” can be programmed, and an abstract representation and brute computational power have proven sufficient to defeat even the greatest human chess champions. Granted, that’s just chess, but what if all those tasks that now seem immeasurably complex could also be solved with correspondingly complex algorithms, or even with relatively simple algorithms?
In that respect, creativity seems to be the new chess. AI is already capable of creating works of art and composing pieces of music. Many people have difficulty accepting the results as examples of true creativity. And there is the deeper philosophical discussion as to whether we ourselves are not simply programmed and thus do not act as autonomously as we like to think. AI can revive one of the most painful insults to humanity famously put forth by Sigmund Freud: many, if not most of our actions are not the result of conscious choice.
Machines long ago outperformed us in physical labor, and more recently in computational power. And now our intellectual ability is at stake. This ability has always set us apart from all other creatures on earth and has given us (at least instinctively) control over our future. It is therefore not surprising that some people resent this development. Think what we might, AI is a mirror for humanity. It teaches us an enormous amount about ourselves and asks us fundamental questions about what it means to be human.
However, in my opinion, the key question we should be asking is: In designing AI, should we pursue human intelligence at all? Submarines do not swim the way fish do, nor do airplanes fly like birds; so why should computers have to think the way humans do? If you give a spider human-level intelligence it will not start behaving like a human, but rather like a “super spider” that can spin even better webs and catch even more prey. We are only going to make real progress in AI when we let go of the idea that we are superior beings. Humans are not superior to insects; we each evolved based on the respective evolutionary adaptations to our respective environments. Humans may have more advanced cognitive skills, but insects will most likely survive even a nuclear disaster. So success is context-dependent and therefore relative.
This article appeared in Skeptic magazine 29.1
Buy print edition
Buy digital edition
Subscribe to print edition
Subscribe to digital edition
Download our app
We need to start asking ourselves for what purpose we want to use intelligent machines, rather than seeing intelligence as an end in itself. How can we use intelligent machines to create a better world? Indeed, what exactly is a better world? I submit the path forward is for humans and machines to work together, allocating tasks based on their respective specializations. Leave the complex statistics to computers but reserve the socially sensitive issues for human decision making. Let machines monitor railroads for possible damage, but let people watch over the application process for new railroad employees. Let machines assess CT scans for cancerous abnormalities, but let people discuss the treatment process with patients. Why should we build emotions into machines? On the contrary, I think we should strive to make computers operate as objectively as possible. After all, we humans with all our evolutionarily programmed biases and emotions have proven to be not very good at that at all. As the world chess champion Garry Kasparov, who was famously defeated by IBM’s Deep Blue computer, advised…
Machines have calculations.
We have understanding.
Machines have instructions.
We have purpose.
There’s one thing only a human can do.
That’s dream. So let us dream big.
Rudy van Belkom is the Executive Director of The Netherlands Study Centre for Technology Trends (STT). His book, AI No Longer Has A Plug, offers developers, policymakers, philosophers, and anyone with an interest in AI the tools needed for integrating ethics into the AI design process. In addition, he developed an ethical design game for AI, inspired by the scrum process, that can be used to translate ethical issues into practice.
Some Supermassive Black Holes (SMBHs) consume vast quantities of gas and dust, triggering brilliant light shows that can outshine an entire galaxy. But others are much more sedate, emitting faint but steady light from their home in the heart of their galaxy.
Observations from the now-retired Spitzer Space Telescope help show why that is.
It appears that every large galaxy has an SMBH at its heart. This is true of our Milky Way galaxy and of our closest galactic neighbour, Andromeda (M31.) Like all black holes, SMBHs draw material towards them that gathers in an accretion disk. As the material in the disk rotates and heats up, it emits light before it falls into the hole.
It turns out that both of those SMBHs are among the quiet eaters in the black hole population. Others are much more ravenous, consuming large amounts of matter in clumps and shining brightly for periods of time. Astrophysicists wonder what’s behind the difference.
Recent research published in The Astrophysical Journal has determined what’s happening in these different black holes. The title is “The Accretion Mode in Sub-Eddington Supermassive Black Holes: Getting into the Central Parsecs of Andromeda.” The lead author is Christian Alig, a post-doc student at the Max Planck Institute for Extraterrestrial Physics.
Andromeda (M31) is a close neighbour in cosmic terms. It’s about 780 kiloparsecs away, or about 2.5 million light years. It’s a sub-Eddington SMBH, meaning that it hasn’t reached the theoretical maximum accretion rate. Its proximity makes it an excellent target for observing and studying large-scale galactic structure, especially the nucleus. The nucleus is where most of the action is, dominated by an SMBH and containing a dense population of stars and a network of gas and dust. This research focuses on the gas and dust.
“This paper investigates the formation, stability, and role of the network of dust/gas filaments surrounding the M31 nucleus,” the authors write in their research. “The proximity of M31, 780 kpc, allows us to visualize in great detail the morphology, size, and kinematics of the filaments in ionized gas and dust.”
The researchers worked with images from the Hubble and Spitzer Space Telescopes. Using different filters, the telescope images revealed the shape and other characteristics of the network of gas and dust. “The appearance of the central region of M31 varies dramatically in the different mid-infrared bands, from a smooth, featureless bulge dominated by the old stellar population at 3.6 ?m to the distinct spiral dust filament structure that dominates the 8 ?m image,” the authors explain.
These images from the research show how different telescopes and filters can work together to reveal structure. The top row is Spitzer images of M31 at different wavelengths. Structure emerges successively with each image. The bottom right image is the 8 ?m image minus the 4.5 ?m image, which basically removes starlight. The middle right bottom image is a Hubble image showing H-alpha and ionized nitrogen. The bottom left image is a Hubble UV image, and the middle left is the same image with starlight removed. Image Credit: Alig et al. 2024.The researchers found a circumnuclear dust ring around the galactic nucleus that measures between 0.5 and 1 kpc from the center (1,630 to 3,260 light-years.) Filaments of dust emanate from this ring, forming a spiral inside it. “Inside the ring, the dust filaments follow circularized orbits around the center, ending in a nuclear spiral in the central hundred parsecs,” the authors explain.
These images from the research successive zoom-ins at different wavelengths. In the middle image, a dotted white line outlines the circumnuclear ring in M31. The third image “… is a pure dust map of the central kiloparsec of M31,” the authors write. In the third image, an arrow shows the filament used as a reference in simulations. Image Credit: Alig et al. 2024.After identifying structures in the telescope images, the researchers turned to simulations. They used hydrodynamical simulations to see what initial conditions made filaments and streamers of flowing gas move nearer to the SMBH. “By predicting the orbit and velocity of the filaments, we aim to infer the role of the nuclear spiral as a feeder of the M31 BH,” they explain.
The hydrodynamical simulations cover a wide area of the nucleus, from 900 parsecs to 6 parsecs from the SMBH in M31. The starting point for the simulations is the brightest and longest dust filament the team found in the images. In the image above, it’s marked with a white arrow. “The filament curves progressively toward the center as it approaches,” the researchers write. “It is also seen in the ionized gas <H-alpha and NII> though more diffuse, in the central few hundred parsecs.”
The simulations assume that the dust filament is made of dust infalling from the circumnuclear ring, though the researchers didn’t investigate how the dust made its way into the ring in the first place. The simulation began by injecting gas into the ring. The team let the simulation fun for millions of years to see how the gas behaves. “In the end, we needed about 200 Myr of simulation time to arrive at a configuration that best reproduces the observations,” the authors explain.
This figure shows snapshots from the simulation at different intervals from 17.5 million years to 156 million years. (a) and (b) don’t deviate much from an N-body simulation, but eventually, a ring takes shape. In (b,) the freshly injected material collides with the uppermost arc. That heats up the gas, creating a hot surrounding atmosphere shown in blue/pink. The stream crosses itself repeatedly after that and experiences friction from the atmosphere. (d) through (f) shows how the gas eventually circularizes into a ring shape. Image Credit: Alig et al. 2024.“Friction at the inner edge of an elongated ring structure that forms in (e) causes thin filaments to spiral inward, eventually forming a small disk in the inner 100 pc, visible in (f),” the authors explain.
All of the team’s simulations arrived at similar results, even though they began with different parameters like initial angles, velocities, distances, and angle of injection. “Interestingly, due to the relatively good radial symmetry of the M31 potential in the inner 1 kpc, all simulations lead to very similar results,” the researchers explain.
The observations and images of M31’s inner region are in line with what astronomers find in other quiet galaxies. Those surveys “… reveal a common pattern in the dust morphology, formed by narrow, long dust filaments ending in a spiral in the central few hundred parsecs,” the authors write. The majority of low-luminosity galaxies in a 2003 study also have nuclear spirals that span several hundred parsecs.
Interestingly, high-accreting galaxies different than M31 also show a network of dust lanes and filaments, but their morphology is less organized. It often consists of one long filament that runs right across the nucleus. This could be the critical difference between the sedate SMBH in M31 and galaxies with much brighter black holes.
M31 and its ilk are fed a slow, steady diet of gas, which means their brightness is steady. But other galaxies are fed matter in larger clumps, which makes their brightness reach brilliant peaks, outshining all the stars in their galaxy. That’s the difference between gluttonous SMBHs and well-behaved ones.
“The hydrodynamical simulations show that the role of these filaments <in M31> is to transport matter to the center; however, the net amount that they transport to the center is small—a consequence of their extensive interaction with themselves, their surrounding atmosphere, and the ISM over a timescale of several million years,” the authors conclude. “We postulate that when dust/gas filaments in the central hundred parsecs of galaxies get to settle in a nuclear spiral configuration, a low accretion mode of the central BH will result.”
So galaxies with spiral patterns of gas in their nuclei have low accretion modes and lower, steadier luminosity. Galaxies without these patterns accrete more matter irregularly, and their luminosity surges.
One of the interesting things about this research is that it didn’t rely on new observations from new, powerful telescopes like the JWST. Instead, it relied on images from NASA’s Spitzer Space Telescope, which ended its mission in January 2020. It illustrates how modern telescopes and observatories generate massive amounts of data that scientists can utilize in different ways long after the telescope’s mission has ended.
“This is a great example of scientists reexamining archival data to reveal more about galaxy dynamics by comparing it to the latest computer simulations,” said study co-author Almudena Prieto, an astrophysicist at the Institute of Astrophysics of the Canary Islands and the University Observatory Munich. “We have 20-year-old data telling us things we didn’t recognize in it when we first collected it.”
The post Not All Black Holes are Ravenous Gluttons appeared first on Universe Today.
The Egyptian pyramids, and especially the Pyramids at Giza, have fascinated people probably since their construction between 4700 and 3700 years ago. They are massive structures, and it boggles the mind that an ancient culture, without the benefit of any industrial technology, could have achieved such a feat. This has led to endless speculation, especially in modern times, that perhaps some lost advanced civilization was at work, or maybe aliens.
This view has been criticized as being partly driven by racism – whenever some amazing artifact of non-European culture is discovered, it must be aliens, because those savages could not be responsible. But also it reflects our general fascination with the idea of aliens or lost civilizations (like Atlantis). And perhaps mostly it results from the fact that modern cultures tend to underestimate the intelligence and ingenuity of past and especially ancient cultures. We have a bias that pre-modern people were all superstitious, simple, and generally ignorant – with a few exceptions, like ancient Rome (which is Occidental, so that’s OK). You’ll notice that no one thinks the Colosseum was built by aliens – those Romans were clever.
In any case, we also tend to underestimate how effective simple engineering principles can be. The ancient Egyptians had all six of the basic engineering tools at their disposal – the wheel, lever, wedge, screw, inclined plane, and pulley. These tools can be leveraged to accomplish amazing feats – “Give me a lever long enough and a fulcrum on which to place it and I will move the world.”
The ancients also discovered the power of water, with the oldest water wheel being about 6000 years old (wind power came somewhat after the Egyptians). This brings me to an interesting news item – scientists have discovered that the main cluster of Egyptian pyramids, 31 of them, currently lies along a remote strip of dry desert, but thousands of years ago there was a branch of the Nile (named the Ahramat, Arabic for pyramids) that ran right through that region.
This, by the way, is sometimes another reason for modern confusion – some may assume conditions in the past were the same as they are today. Or, more generally, we may just not know something about the ancient world, their resources and their abilities, and should not just fill in the gaps with aliens.
The researchers used radar satellite imagery, historical maps, geophysical surveys, and sediment coring to determine that there was an ancient river in that location. It has since dried up and been buried by sand, and so is not visible without using these techniques. But the Ahramat river branch would have run right along those 31 pyramids.
This solves a long-standing puzzle. We know that the ancient Egyptians had the ability and the person power to move large blocks of stone, but this is difficult and tedious. It is far easier to move stones along rivers. Why, then, build all these pyramids far from any water power? Well, they didn’t. They followed that ancient river branch building pyramids all along its shore, using the river to move the heavy stones.
They would still need all that muscle power to do the actual building, but at least they weren’t moving the stones long distances in the most inefficient way possible.
To beat this dead horse a bit further, though, this is a good example of why the alien hypothesis can be so counterproductive. First, it ignores a ton of actual anthropological and archaeological data. It’s often not even filling in real gaps, but making gaps by ignoring answers we already have. (Joe Nickel calls this the “unsolving mysteries” approach.) But when there are actual gaps in our knowledge, filling them in with the equivalent of magic does not lead anywhere. I know aliens are not magic, but they can be like magic in that we assume their technology was so advanced it was indistinguishable from magic. It also becomes an unfalsifiable hypothesis in that whatever evidence we find or don’t find we can make consistent with the alien hypothesis because they were clearly using advanced technology we can’t understand.
If instead we look for more prosaic explanations, we tend to eventually find them. We come up with actual solutions by doing real science. The Ahramat river branch is just one great example.
The post How Were the Pyramids Built? first appeared on NeuroLogica Blog.