Rotational Doppler Cartography of Technosignatures on Unresolved Planets

TL;DR

This paper introduces a novel method to map and analyze extraterrestrial technosignatures on unresolved planets by exploiting rotational Doppler effects in radio signals, enabling detailed cartography of alien technological activity.

Contribution

It develops a new inversion framework that reconstructs the distribution of extraterrestrial transmitters from time-resolved spectral data, advancing SETI from detection to detailed mapping.

Findings

Method recovers low-order spherical-harmonic structure of transmitter distribution.

Successfully identifies major population centers despite observational degeneracies.

Approach links spectral patterns to planetary features like continents and population density.

Abstract

The discovery of many Earth-like planets has renewed interest in whether life and technological civilizations exist elsewhere. The Search for Extraterrestrial Intelligence (SETI) seeks evidence for technological civilizations via technosignatures across the electromagnetic spectrum. Here, focusing on artificial radio emissions with extremely narrowband signals, we model Earth as a distant, unresolved source and simulate its narrowband transmissions as observed with current and forthcoming radio facilities. Planetary rotation induces small but coherent Doppler drifts (maximum fractional shift of order $10^{-6}$) that imprint a characteristic, time-varying pattern on the spectrum. We develop a forward-inverse framework that exploits this modulation: adopting a population-weighted model for terrestrial transmitters, we compute time-resolved spectra and then apply a new inversion method that reconstructs the underlying transmitter distribution from the temporal pattern of fractional frequency offsets. In noise-added tests, the method recovers the low-order spherical-harmonic structure of the map and retrieves major population centers despite the north-south degeneracy of unresolved observations. The recovered distribution is expected to correlate with continents, climate zones, and population density. This approach moves SETI beyond mere detection, enabling quantitative cartography of a civilization's activity and inference of host-planet properties through sustained, time-resolved spectroscopy.