Ezra Kelderman: Galileo Project | EXOQUEST Archives
Автор: EXOQUEST
Загружено: 2026-01-08
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EXOQUEST Archives: The science-based search for interstellar artifacts and the origins of the universe.
We sit down with Ezra Kelman, Project Manager for Project Galileo at the Harvard Center for Astrophysics. While mainstream SETI listens for signals, Project Galileo looks for physical objects and anomalous technosignatures within our solar system and atmosphere.
NOTE: This previously unreleased EXOQUEST interview was taped late 2024, prior to Project Galileo's new observatory in Las Vegas.
Ezra details the rigorous scientific pipeline built to differentiate between "known" human technology and truly anomalous phenomena. We go beyond the "what" and deep-dive into the HOW: from the constraints of infrared optics and the necessity of triangulation to the AI models being trained to filter out birds, balloons, and "leaf sightings."
KEY TOPICS COVERED:
The Foundation: Why Project Galileo was formed at Harvard following the 2021 Pentagon report.
The Targets: Interstellar objects (like 'Oumuamua), interstellar meteors, and Near-Earth UAP.
The Tech Stack: Multimodal detection using infrared, visible optics, passive radar, and acoustics.
The Methodology: How triangulation provides the kinematics (speed, size, altitude) needed to prove new physics.
Open Science: The drive to publish peer-reviewed data and invite global academic collaboration.
Curious. Rigorous. Unafraid.
SUBSCRIBE to the archive. When we have proof, this is the library you’ll need.
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#ProjectGalileo #Technosignatures #AviLoeb #InterstellarObjects #ScienceArchive #UAP #HarvardScience
00:00 – The Discovery Mindset: Science for the Greater Good
00:46 – Introduction: Project Galileo and the Harvard Connection
01:38 – Oumuamua: The Catalyst for Scientific Anomalies
02:24 – Defining UAP: Moving Beyond the "UFO" Stigma
03:13 – Inside the Harvard Center for Astrophysics
04:31 – The Three Pillars: Interstellar Objects, Meteors, and Near-Earth UAP
05:43 – Founding a Rigorous Scientific Process for Anomalies
06:58 – The Open-Source Goal: Academic Data vs. Government Secrecy
09:05 – Sensor Modalities: Throwing Everything at the Sky
10:47 – Filtering the Known: Using ADSB Transponders to Find Anomalies 12:44 – The Software Pipeline: Detection, Tracking, and Classification
14:38 – Technical Challenges: The High Cost of Infrared Optics
16:24 – Defining Detection Volume: The Scale of "All Sky"
18:50 – Why Triangulation is Critical for New Physics
22:18 – Overcoming Environmental Noise: Humidity, Heat, and Contrast 25:00 – Scaling the Archive: The Vision for Global Observatories
26:55 – AI Classification: Identifying the Known to Reveal the Unknown
29:48 – Training the Model: From Google Images to Manual Labeling
32:38 – Passive Radar and Acoustic Systems: Tracking Bats to 747s
35:05 – The Tech Tree: Waiting for Military-Grade Sensors
37:05 – Success Metrics: Removing Stigma and Changing Reality
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