As the successor to the venerable Hubble Space Telescope, one of the main duties of the James Webb Space Telescope has been to take deep-field images of iconic cosmic objects and structures. The JWST’s next-generation instruments and improved resolution provide breathtakingly detailed images, allowing astronomers to learn more about the cosmos and the laws that govern it. The latest JWST deep-field is of a region of space known as Abell 7244 – aka. Pandora’s Cluster – where three galaxy clusters are in the process of coming together to form a megacluster.
Continue reading “Webb Sees Three Galaxy Clusters Coming Together to Form a Megacluster”Another Russian Spacecraft is Leaking Coolant
Roscosmos appears to be having some issues with a spacecraft again. In December, the Soyuz MS-22 spacecraft that delivered three crewmembers of Expedition 68 to the International Space Station (ISS) reported a leak in its coolant loop. On February 11th, engineers at the Russian Mission Control Center outside Moscow recorded a depressurization in Progress 82, an uncrewed cargo craft docked with the Poisk laboratory module. The cause of these leaks remains unknown, but Roscosmos engineers (with support from their NASA counterparts) will continue investigating.
Continue reading “Another Russian Spacecraft is Leaking Coolant”Ingenuity is Doing Surprisingly Well
Exploring Mars is hazardous work. Robotic missions that are sent there have to contend with extreme temperatures, dust storms, intermittent sunlight, and rough terrain. In recent years, two robotic missions were lost due to dust alone, and all that roving around has done a number on the Curiosity rover’s treads. It’s understandable why mission teams are pleasantly surprised when their missions make it through a rough patch. This was the case with the Ingenuity team when they discovered that the rotorcraft, which has been exploring Mars alongside Perseverance, survived the night and is back in working order.
Testing how robotic helicopters fair in the Martian environment is one of the objectives of Ingenuity, which is the first mission of its kind on Mars. On May 3rd, 2022, the mission team learned that Ingenuity had lost power after trying to keep itself warm during the cold Martian night. Luckily, there was enough sunlight the following morning for the little rotorcraft to power up its batteries again and resume normal operations. This was a welcome relief, given that the Opportunity rover and InSight lander were both lost to the extreme cold and dust that characterize a Martian winter.
Continue reading “Ingenuity is Doing Surprisingly Well”Are We Entering the Era of Quantum Telescopes?
For astronomers, one of the greatest challenges is capturing images of objects and phenomena that are difficult to see using optical (or visible light) telescopes. This problem has been largely addressed by interferometry, a technique where multiple telescopes gather signals, which is then combined to create a more complete picture. Examples include the Event Horizon Telescope, which relies on observatories from around the world to capture the first images of the supermassive black hole (SMBH) at the center of the M87 galaxy, and of Sagittarius A* at the center of the Milky Way.
That being said, classic interferometry requires that optical links be maintained between observatories, which imposes limitations and can lead to drastically increased costs. In a recent study, a team of astrophysicists and theoretical physicists proposed how these limitations could be overcome by relying on quantum mechanics. Rather than relying on optical links, they propose how the principle of quantum entanglements could be used to share photons between observatories. This technique is part of a growing field of research that could lead to “quantum telescopes” someday.
Continue reading “Are We Entering the Era of Quantum Telescopes?”Do Advanced Civilizations use Black Holes as Giant Quantum Computers?
If life is common in our Universe, and we have every reason to suspect it is, why do we not see evidence of it everywhere? This is the essence of the Fermi Paradox, a question that has plagued astronomers and cosmologists almost since the birth of modern astronomy. It is also the reasoning behind the Hart-TIpler Conjecture, one of the many (many!) proposed resolutions, which asserts that if advanced life had emerged in our galaxy sometime in the past, we would see signs of their activity everywhere we looked. Possible indications include self-replicating probes, megastructures, and other Type III-like activity.
On the other hand, several proposed resolutions challenge the notion that advanced life would operate on such massive scales. Others suggest that advanced extraterrestrial civilizations would be engaged in activities and locales that would make them less noticeable. In a recent study, a German-Georgian team of researchers proposed that advanced extraterrestrial civilizations (ETCs) could use black holes as quantum computers. This makes sense from a computing standpoint and offers an explanation for the apparent lack of activity we see when we look at the cosmos.
Continue reading “Do Advanced Civilizations use Black Holes as Giant Quantum Computers?”Dust From the Moon Could Help the Shade the Earth and Slow Down Climate Change
Alongside nuclear war or a massive impact from an asteroid, anthropogenic climate change is one of the greatest existential threats facing humanity today. With the rise in greenhouse gas emissions through the 20th century, Earth’s atmosphere continues to absorb more of the Sun’s energy. This has led to rising temperatures, rising sea levels, and increased drought, famine, wildfires, and other ecological consequences. According to the Intergovernmental Panel on Climate Change (IPCC), global temperatures will increase by an average of 1.5 to 2 °C (2.7 to 3.6 °F) by 2050.
For some parts of the world, the temperature increases will be manageable with the right adaptation and mitigation strategies. For others, especially in the equatorial regions (where most of Earth’s population lives), the temperature increases will be severe and will make life untenable for millions of people. For decades, scientists have considered using a sunshield to block a fraction of the Sun’s energy (1 to 2%) before it reaches Earth’s atmosphere. According to a new study by a team led by the University of Utah, lunar dust could be used to shield Earth from sunlight.
Continue reading “Dust From the Moon Could Help the Shade the Earth and Slow Down Climate Change”Humans Can Still Find Galaxies That Machine Learning Algorithms Miss
The age of big data is upon us, and there are scarcely any fields of scientific research that are not affected. Take astronomy, for example. Thanks to cutting-edge instruments, software, and data-sharing, observatories worldwide are accumulating hundreds of terabytes in a single day and between 100 to 200 Petabytes a year. Once next-generation telescopes become operational, astronomy will likely enter the “exabyte era,” where 1018 bytes (one quintillion) of data are obtained annually. To keep up with this volume, astronomers are turning to machine learning and AI to handle the job of analysis.
While AI plays a growing role in data analysis, there are some instances where citizen astronomers are proving more capable. While examining data collected by the Dark Energy Survey (DES), amateur astronomer Giuseppe Donatiello discovered three faint galaxies that a machine-learning algorithm had apparently missed. These galaxies, all satellites of the Sculptor Galaxy (NGC 253), are now named Donatello II, III, and IV, in his honor. In this day of data-driven research, it’s good to know that sometimes there’s no substitute for human eyeballs and intellect.
Continue reading “Humans Can Still Find Galaxies That Machine Learning Algorithms Miss”Machine Learning is a Powerful Tool When Searching for Exoplanets
Astronomy has entered the era of big data, where astronomers find themselves inundated with information thanks to cutting-edge instruments and data-sharing techniques. Facilities like the Vera Rubin Observatory (VRO) are collecting about 20 terabytes (TB) of data on a daily basis. Others, like the Thirty-Meter Telescope (TMT), are expected to gather up to 90 TB once operational. As a result, astronomers are dealing with 100 to 200 Petabytes of data every year, and astronomy is expected to reach the “exabyte era” before long.
In response, observatories have been crowdsourcing solutions and making their data open-access so citizen scientists can assist with the time-consuming analysis process. In addition, astronomers have been increasingly turning to machine learning algorithms to help them identify objects of interest (OI) in the Universe. In a recent study, a team led by the University of Georgia revealed how artificial intelligence could distinguish between false positives and exoplanet candidates simultaneously, making the job of exoplanet hunters that much easier.
Continue reading “Machine Learning is a Powerful Tool When Searching for Exoplanets”More Data and Machine Learning has Kicked SETI Into High Gear
For over sixty years, astronomers and astrophysicists have been engaged in the Search for Extraterrestrial Intelligence (SETI). This consists of listening to other star systems for signs of technological activity (or “technosignatures), such as radio transmissions. This first attempt was in 1960, known as Project Ozma, where famed SETI researcher Dr. Frank Drake (father of the Drake Equation) and his colleagues used the radio telescope at the Green Bank Observatory in West Virginia to conduct a radio survey of Tau Ceti and Epsilon Eridani.
Since then, the vast majority of SETI surveys have similarly looked for narrowband radio signals since they are very good at propagating through interstellar space. However, the biggest challenge has always been how to filter out radio transmissions on Earth – aka. radio frequency interference (RFI). In a recent study, an international team led by the Dunlap Institute for Astronomy and Astrophysics (DIAA) applied a new deep-learning algorithm to data collected by the Green Bank Telescope (GBT), which revealed eight promising signals that will be of interest to SETI initiatives like Breakthrough Listen.
Continue reading “More Data and Machine Learning has Kicked SETI Into High Gear”SpaceX Sets New Record with Successful Test-Firing of 31 Raptor Engines!
Another day, another static fire test, another milestone on the road to space! For months, crews at the SpaceX Starbase near Boca Chica, Texas, have been conducting static fire tests of the B7 Super Heavy booster prototype. In previous tests, the ground crews test-fired 7 to 14 of the B7s Raptor 2 engines for periods lasting 7 to 13 seconds. Today, the crews prepped the BN7 Booster for the first static fire test, where all thirty-three engines would fire simultaneously. While two of its Raptors did not fire, the test was a success and set a new record for the amount of thrust produced in a single booster fire.
Continue reading “SpaceX Sets New Record with Successful Test-Firing of 31 Raptor Engines!”