The Pentagon office in charge of fielding UFO reports says that it has resolved 118 cases over the past year, with most of those anomalous objects turning out to be balloons. But it also says many other cases remain unresolved.
This year’s legally mandated report from the Department of Defense’s All-Domain Anomaly Resolution Office, or AARO, also identifies areas of the world that seem to be hotspots for sightings of unidentified flying objects. Such objects have been re-branded as unidentified anomalous phenomena, or UAPs.
Today’s report come just one day after a House subcommittee hearing about UAPs, during which witnesses — and some lawmakers — voiced concerns about potential alien visitations and undisclosed efforts to gather evidence. In contrast, the Pentagon’s report for the 2023-2024 time period states that, “to date, AARO has discovered no evidence of extraterrestrial beings, activity or technology.”
“AARO has successfully resolved hundreds of cases in its holdings to commonplace objects such as balloons, birds, drones, satellites and aircraft,” the office’s director, Jon Kosloski, said in a news release. “Only a very small percentage of reports to AARO are potentially anomalous, but these are the cases that require significant time, resources and a focused scientific inquiry by AARO and its partners.”
In the past, U.S. military and intelligence officials have suggested that some UAP sightings may be attributable to intrusions by rival powers such as Russia or China. The Chinese spy balloon that was intercepted and destroyed by Air Force fighter jets last year after crossing over the U.S. serves as a prime example.
AARO’s latest report says that U.S. military aircrews provided two reports over the past year that identified flight safety concerns, and three reports described pilots being trailed or shadowed by anomalous objects. “To date, AARO has no indication or confirmation that these activities are attributable to foreign adversaries,” the report says, but the office is continuing to work with the U.S. intelligence community to investigate the cases.
“None of the reports AARO received during the reporting period indicated that observers suffered any adverse health effects,” the report says.
AARO’s reporting system was established to encourage members of the U.S. military to let the Pentagon know about UAP sightings and take the stigma out of the process. Based on the latest numbers, the strategy seems to be working. Between May 2023 and June 2024, AARO received 757 UAP reports, compared with 291 reports for the period between August 2022 and April 2023.
Here are more statistics from today’s report:
AARO’s global map of UAP reporting hotspots highlights four broad areas: the southeastern U.S. and Gulf of Mexico; the West Coast and Pacific Northwest; the Middle East; and northeastern Asia in the vicinity of Japan and the Korean peninsula. This doesn’t mean the aliens favor those regions. Instead, AARO says the distribution favors a “continued geographic collection bias based on locations near U.S. military assets and sensors operating globally.”
AARO says it’s getting an increasing number of cases that can be traced to sightings of SpaceX’s Starlink satellites. “For example, a commercial pilot reported white flashing lights in the night sky,” the report says. “The pilot did not report an altitude or speed, and no data or imagery was recorded. AARO assessed that this sighting of flashing lights correlated with a Starlink satellite launch from Cape Canaveral, Florida, the same evening about one hour prior to the sighting.”
One of the reports received via the FAA mentioned a possible flight safety issue. “In this instance, a commercial aircrew reported a near miss with a ‘cylindrical object’ while over the Atlantic Ocean off the coast of New York,” the report says. “AARO continues its research into, and analysis of, this case.”
AARO received 18 reports from the Nuclear Regulatory Commission that related to UAP incidents near U.S. nuclear infrastructure, weapons and launch sites. NRC officials attributed all those sightings to drones. One of the incidents, in August 2023, involved the recovery of a crashed drone in the vicinity of the D.C. Cook Nuclear Power Plant in Michigan — but AARO provided no further information about the drone.
What more can be done? In today’s report, AARO says its ability to resolve cases has been constrained due to “a lack of timely and actionable sensor data.”
“AARO continues to address this challenge by working with military and technical partners to optimize sensor requirements, information-sharing processes, and the content of UAP reporting,” the report says. “AARO is also expanding engagement with foreign partners to share information and collaborate on best practices for resolving UAP cases.”
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The Daisy World model describes a hypothetical planet that self-regulates, maintaining a delicate balance involving its biogeochemical cycles, climate, and feedback loops that keep it habitable. It’s associated with the Gaia Hypothesis developed by James Lovelock. How can we detect these worlds if they’re out there?
By looking closely at information.
A Daisy World (DW) is inhabited by two types of daisies: white and black. They have different albedos, and the blacks absorb more sunlight and warm the planet, while the whites reflect more sunlight and cool the planet.
As the DW’s star brightens, the planet’s temperature rises. At first, black daisies thrive because they absorb more energy. However, as the planet gets hotter, absorbing more energy becomes undesirable, and the white daisies begin to outcompete the blacks and thrive. As they thrive, they reflect more sunlight and cool the planet.
The result is a delicate homeostasis where the daisies regulate the planet’s temperature and keep it in a habitable range. It can’t get too hot and it can’t get too cold. The DW model shows how life can influence a planet’s climate and create conditions favourable for its own survival.
Earth is not exactly a daisy world, but life on Earth influences the climate. The DW model simply illustrates the concept of basic climate feedback mechanisms.
The ESA’s Sentinel 2 satellite captured this image of an algae bloom in the Baltic Sea in 2015. A ship can be seen moving through it. Algae blooms interact with the climate through feedback loops. Image Credit: Copernicus Sentinel data / ESA.In new research, scientists from the Department of Physics and Astronomy and the Department of Computer Science at Rochester University wanted to find ways to analyze how planetary systems like biospheres and geospheres are coupled. If there are self-regulating “Daisy Worlds” out there, how can we detect them?
The research is “Exo-Daisy World: Revisiting Gaia Theory through an Informational Architecture Perspective.” The lead author is Damian Sowinski, a research physicist and postdoctoral associate in the Department of Physics and Astronomy at the University of Rochester. The research is awaiting publishing and is not peer-reviewed yet.
The idea is to find a way to detect agnostic biosignatures on exoplanets. Regular biosignatures are specific chemicals like oxygen or methane that can be byproducts of living organisms. Agnostic biosignatures are indications that life is present but don’t rely on identifying which types of organisms might be producing them. Instead, they’re like overarching planetary patterns that living worlds produce.
For the authors, finding agnostic biosignatures begins with information and how it flows.
“In this study, we extend the classic Daisy World model through the lens of Semantic Information Theory (SIT), aiming to characterize the information flow between the biosphere and planetary environment—what we term the information architecture of Daisy World systems,” the authors explain.
Semantic Information Theory has been around since the mid-20th century. It attempts to define meaning in different contexts, how human subjective interpretation affects it, and related concepts in the same vein. It’s taken on a new focus as artificial intelligence and machine learning become more prevalent.
There’s a drive to understand exoplanet atmospheres and environments and to have a way to differentiate between those that may be life-supporting and those that aren’t. This is a complex problem that hinges on agnostic biosignatures.
The JWST captured this atmospheric spectrum of exoplanet K2-18 b showing the presence of methane, which can act as a biosignature. The authors say that information theory can help undercover agnostic biosignatures. Rather than specific chemicals like methane, agnostic biosignatures are patterns that can only be created by a biosphere. Image Credit: NASA, CSA, ESA, R. Crawford (STScI), J. Olmsted (STScI), Science: N. Madhusudhan (Cambridge University)Agnostic biosignatures are complex patterns and structures that can’t be explained by non-biological processes. There’s also disequilibrium, novel energy transfer, unusual levels of organization at different scales, and cyclical or systematic changes that suggest a biological cause.
A search for agnostic biosignatures can involve complex molecules that need biological synthesis, chemical distributions that require metabolism, unexpected accumulations of specific molecules, and features in an atmosphere or on a planetary surface that require biological maintenance.
Some examples of agnostic biosignatures on Earth are methane and oxygen co-existing in the atmosphere, the ‘Red Edge‘ in Earth’s vegetation spectrum, and daily or seasonal cycles of gas emissions.
The Red Edge is a region of rapid change in vegetation reflectance in the near-infrared (NIR). It could be useful in detecting vegetation on exoplanets. Image Credit: Seager et al. 2024.“The search for life on exoplanets requires the identification of biosignatures, which rely on life having
significantly altered the spectroscopic properties of a planet. Thus, exoplanetary life searches focus not
on detecting individual organisms but on identifying the collective effects of life on the planetary system—what we refer to as exo-biospheres,” the authors explain.
In short, we can’t study biosignatures without studying biospheres. In doing so it’s critical to understand where and how an exo-biosphere reaches a “mature” state where they exert a strong influence on the atmosphere, hydrosphere, cryosphere, and lithosphere, collectively known as the geosphere. Once they’re mature and exert a strong influence, they’re in line with the Daisy World hypothesis.
The authors aim is to study how information flows between a biosphere and the planetary environment. To do this, they modelled potential conditions on M-dwarf exoplanets and came up with equations that describe the co-evolution of the daisies on these worlds with their planetary environments. They created what they term an ‘information narrative’ for exo-Daisy Worlds (eDWs).
Typically, the homeostatic feedback in DWs rests on physical quantities like radiation fluxes, albedos, and plant life coverage fractions. That’s the physical narrative. However, the researchers used Semantic Information Theory to derive a complementary narrative based on how information flows. In their work, SIT focuses on correlations between an agent—the biosphere—and an environment and how those correlations benefit the agent.
Their model showed that as stellar luminosity rises, the correlations between the biosphere and its environment intensify. The correlations correspond to distinct phases of information exchange between the two. This leads to the idea of rein control, a control exerted by flora through the positive and negative differences of their albedos compared to the bare ground. This is how the biosphere exerts a regulatory influence on a planet’s climate. In their informational narrative, the planetary temperatures are more constrained “at the cooler and warmer boundaries of the bearable temperature range.”
Not all of the information that flows between the biosphere and the environment is relevant. The biosphere doesn’t use all of it because some of it doesn’t help the biosphere maintain control. The authors say that by analyzing all this information according to information theory, they can determine which information, and when and how, it contributes to its own viability.
The Daisy World model is instructive, but it’s a toy model. For example, it doesn’t include stochastic events like volcanic eruptions. But the big question is how does it relate to exobiospheres?
The authors say that their work shows the potential in using approaches like SIT to understand how exoplanets and their biospheres co-evolved like they have on Earth. More realistic models will be necessary that include more of the complex networks of interactions between an exoplanet’s living and non-living systems. The biosphere processes information in ways that non-living systems don’t, so information-centric systems can undercover agnostic biosignatures in ways that physical or chemical models can’t.
“As a result, the next step in our research program will involve applying SIT and other information-theoretic approaches to more complex models of coupled planetary systems,” the authors conclude.
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From Bluesky via Dr. Cobb:
I’ve decided to leave Scientific American after an exciting 4.5 years as editor in chief. I’m going to take some time to think about what comes next (and go birdwatching), but for now I’d like to share a very small sample of the work I’ve been so proud to support (thread)
— Laura Helmuth (@laurahelmuth.bsky.social) 2024-11-14T19:23:01.434Z
You can follow the thread by clicking on the tweet.
One can only speculate about what happened, and that is unproductive. The facts are that Helmuth had a total social-media meltdown the night of the election (see her tweets here), for which she later apologized (see tweet here). People called for her to be fired given the tenor of what she wrote, but I’ve never done that. We don’t know if she resigned or was fired, and it really makes no difference. I just hope the magazine hires a successor who can pivot the magazine back to doing what it’s famous for: having real scientists write engaging and instructive real science articles.
As for Helmuth, I wish her well. Everybody should have a second chance, and she does, after all, have a long history of science journalism in other places.
In March 2021, astronomers observed a high-energy burst of light from a distant galaxy. Assigned the name AT 2021hdr, it was thought to be a supernova. However, there were enough interesting features that flagged as potentially interesting by the Automatic Learning for the Rapid Classification of Events (ALeRCE). In 2022, another outburst was observed, and over time the Zwicky Transient Facility (ZTF) found a pattern of outbursts every 60–90 days. It clearly wasn’t a supernova, but it was unclear on what it could be until a recent study solved the mystery.
One idea was that AT 2021hdr was a tidal disruption event (TDE),] where a star strays too close to a black hole and is ripped apart. This can create periodic bursts as the stellar remnant orbits the black hole, but TDEs don’t tend to have such regular patterns. So the team considered another model, where a massive interstellar cloud passes into the realm of a pair of binary black holes.
Simulations show how binary black holes interact with a gas cloud. Credit: F. Goicovic et al. 2016Computer simulations show that rather than simply ripping apart the cloud, a binary black hole would churn the cloud as it consumes it. This would produce a periodic burst of light as the black holes orbit. The team observed AT 2021hdr using the Neil Gehrels Swift Observatory and found periodic oscillations of ultraviolet and X-ray light that match the transient bursts observed by ZTF. These observations match the simulations of a binary black hole.
Based on the data, the black holes have a combined mass of about 40 million Suns, and they orbit each other every 130 days. If they continue along their paths, the two black holes will merge in about 70,000 years. Without the passing cloud, we would have never noticed them.
The team plans to continue their observations of the system to further refine their model. They also plan to study how the black holes interact with their home galaxy.
Reference: L. Hernández-García, et al. “AT 2021hdr: A candidate tidal disruption of a gas cloud by a binary super massive black hole system.” Astronomy & Astrophysics 691 (2024)
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