Polycyclic Aromatic Hydrocarbons are prevalent in the universe and interstellar medium but are primarily attributed to anthropogenic sources on Earth, such as fossil fuel combustion and firewood burning.
SETI & Technosignatures
High-resolution Imaging Of The Radio Source Associated With Project Hephaistos Dyson Sphere Candidate G
We present high-resolution e-MERLIN and EVN (e-VLBI) observations of a radio source associated with Dyson Sphere candidate G, identified as part of Project Hephaistos.
Percolation Of ‘Civilisation’ In A Homogeneous Isotropic Universe
In this work, we consider the spread of a ‘civilisation’ in an idealised homogeneous isotropic universe where all the planets of interest are habitable.
A Signal Discovery Step In Interstellar Communication
Prior work using synchronized, geographically spaced radio telescopes, and a radio interferometer, suggests that narrow-bandwidth polarized pulse pair measurements repeatedly falsify a noise-cause hypothesis, given a prior celestial direction of […]
In Search of Extraterrestrial Artificial Intelligence through the Dyson Sphere-like structures around the Primordial Black Holes
Are we alone? It is a compelling question that human beings have confronted for centuries. The search for extraterrestrial life is a broad range of quests for finding the simple […]
Conducting High Frequency Radio SETI Using ALMA
The Atacama Millimeter/Submillimeter Array (ALMA) remains unparalleled in sensitivity at radio frequencies above 35 GHz.
The Challenge of Detecting Remote Spectroscopic Signatures From Radionuclides
The characterization of exoplanetary atmospheres through transit spectra is becoming increasingly feasible, and technology for direct detection remains ongoing.
Projections of Earth’s Technosphere. I. Scenario Modeling, Worldbuilding, and Overview of Remotely Detectable Technosignatures
This study uses methods from futures studies to develop a set of ten self-consistent scenarios for Earth’s 1000-year future, which can serve as examples for defining technosignature search strategies.
Decoding Geometric Properties in Non-Random Data from First Information-Theoretic Principles
Based on the principles of information theory, measure theory, and theoretical computer science, we introduce a univariate signal deconvolution method with a wide range of applications to coding theory, particularly […]
Anomaly Detection and RFI Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches
The search for radio technosignatures is an anomaly detection problem: candidate signals represent needles of interest in the proverbial haystack of radio-frequency interference (RFI).
