The Case for Technosignatures: Why They May Be Abundant, Long-lived, Highly Detectable, and Unambiguous
March 21, 2022 Β· Declared Dead Β· π Astrophysical Journal Letters
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Jason T. Wright, Jacob Haqq-Misra, Adam Frank, Ravi Kopparapu, Manasvi Lingam, Sofia Z. Sheikh
arXiv ID
2203.10899
Category
astro-ph.EP
Cross-listed
astro-ph.IM,
cs.CR,
physics.pop-ph
Citations
45
Venue
Astrophysical Journal Letters
Last Checked
3 months ago
Abstract
The intuition suggested by the Drake equation implies that technology should be less prevalent than biology in the galaxy. However, it has been appreciated for decades in the SETI community that technosignatures could be more abundant, longer-lived, more detectable, and less ambiguous than biosignatures. We collect the arguments for and against technosignatures' ubiquity and discuss the implications of some properties of technological life that fundamentally differ from nontechnological life in the context of modern astrobiology: It can spread among the stars to many sites, it can be more easily detected at large distances, and it can produce signs that are unambiguously technological. As an illustration in terms of the Drake equation, we consider two Drake-like equations, for technosignatures (calculating N(tech)) and biosignatures (calculating N(bio)). We argue that Earth and humanity may be poor guides to the longevity term L and that its maximum value could be very large, in that technology can outlive its creators and even its host star. We conclude that while the Drake equation implies that N(bio)>>N(tech), it is also plausible that N(tech)>>N(bio). As a consequence, as we seek possible indicators of extraterrestrial life, for instance, via characterization of the atmospheres of habitable exoplanets, we should search for both biosignatures and technosignatures. This exercise also illustrates ways in which biosignature and technosignature searches can complement and supplement each other and how methods of technosignature search, including old ideas from SETI, can inform the search for biosignatures and life generally.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β astro-ph.EP
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals
R.I.P.
π»
Ghosted
Mapping Tropical Forest Cover and Deforestation with Planet NICFI Satellite Images and Deep Learning in Mato Grosso State (Brazil) from 2015 to 2021
R.I.P.
π»
Ghosted
Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks
R.I.P.
π»
Ghosted
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
R.I.P.
π»
Ghosted
PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted