In 2021, the Director of National Intelligence (ODNI) presented information on the recent classified information. Unidentified public phenomenon (UAP).
Since then, the Pentagon has been released. Annual report UAP through all domain solving offices (AARO). Nevertheless, there is still a lack of scientific data that is still available openly.
To solve this, a New study Led Harvard Smithsonian Center for astronomical physics (CFA) and Galileo Project To search for the potential signs of the alien spacecraft, we propose all of the infrared cameras (Dalek) of all the sky.
The study was led by Laura Domine, a member of the Keto-Galileo Wish and a researcher at the Galileo project.
She joined CFA, Galileo Project, Whitin Observatory, Science Union for UAP Research, and fellow researchers at Atlas Lens Co..
The paper that summarizes their proposals 2025 Lunar and Planetary Science Association (2025 LPSC) was held in Woodland, Texas from March 10 to 14.
The tools they describe in paper are the nickname Dalek. Doctor Franchise (above image). The device said in a 2023 independent study based on the recommendations written by NASA:
“The future sensor built for the purpose of UAP detection should be designed to adjust the Milly Time scale to help better detection. The LockStep requires a warning system to detect and share temporary information quickly and uniformly … Multisensor platform is important for providing a complete picture of the UAP event. You need to provide motion (imaging data) and other data and hyperperperpertra and hyperSpectral data.
Their papers detail the first tools and orthodontics that have been committed to the development of multi -modal, multi -spectrum ground -based observatory, and Galileo Institute.
professor Abby RobeFrank B. Baird JR. Science professor at Harvard University, Theory and calculation research institute In the CFA (2007-prediction), Galileo Project (2021-present). As he told UNIVERSE through his email:
“Often US government data is classified because it is collected or completely understood by classified sensors and may be related to national security. In infrared, optics, radio and audio bands.”
As Loeb describes in detail, these three observers have detected about 100,000 objects a month and have already obtained data for about 1 million objects. This is the largest database systematically assembled in NEOS that the Galileo project analyzes using machine learning software.
This software consists of a YOLO (YOU LOOK) model for object detection and a simple online and real -time tracking (sorting) algorithm.
This algorithm can classify all the UAPs observed and detect unusual UAPs for familiar objects (plane, drones, balloons, birds, satellites, etc.). The paper also includes the first five months of surgery of the observatory.
As the team mentioned in the paper, about 500,000 objects were detected at this time. About 16% (to 80,000) of the trajectory they reconstructed were displayed in a peculiarity at 95% confidence and manually inspected with infrared images.
From them, the 144 trajectors were maintained in an ambiguous state, which is likely to be an ordinary object that can no longer be classified without information, distance and other sensor data. LOEB:
“In the first five -month commissioning data reported in this paper, we evaluated the ability to study 500,000 objects and classify them without distance information. In the future, we hope to measure the distance from the object based on the triangular measurement based on the triangular measurement by various detectors within each observatory. You can decide and clearly identify. “
In contrast, classified research conducted by government agencies, such as AARO, which can utilize street estimates in radar data and multiple sensors, reported that 3%of the cases of attention are remained ambiguous.
LOEB says that the ultimate goal is to find a small number of unusuals that can be considered evidence of technical advanced species (also known as Technocignatures). LOEB:
“Our goal is to make sure there are objects that indicate anomalous flight characteristics or shapes. One in one million people will form the greatest scientific discovery even if it shows the ability beyond human skills. Such objects can suggest the presence of science and technology that we can learn about science, science and technology.”
The official version of their paper newspaper Sensor.
This article was originally published by Today universe. Read Original article.
