A survey search for technosignatures in the decameter band (50–86 MHz) was performed using the OVRO-LWA array. Voltage data were digitized and analyzed on GPUs with a frequency resolution of ~10 Hz, yielding over 3 million all-sky images for a single 30-second epoch. Candidate selection employed multichannel matched filtering, empirical noise normalization, and false discovery rate control. After rejecting extended sources and interference, three narrowband candidates with signal-to-noise ratios above 10 sigma were examined with high temporal and frequency resolution; all proved inconsistent with compact extraterrestrial emitters. The characteristic sensitivity reached ~100 Jy per channel over the entire visible hemisphere, giving 10-sigma limits on the equivalent isotropic radiated power of about 10^14 W at 10 pc and 10^18 W at a kiloparsec. The method simultaneously probes millions of stellar systems and provides a scalable framework for deeper observations, including searches for axion-like particles near neutron stars.
The search for extraterrestrial intelligence is one of the fundamental tasks of modern science. The radio band remains the primary window for detecting technosignatures (engineered signals from civilizations), and low frequencies like decameter waves have been largely unexplored. They can pick up powerful transmitters or even radio leakage similar to Earth's TV broadcasts. Way back when Vera Rubin showed that dark matter dominates the universe, and now this same band is perfect for hunting its manifestations—hypothetical particles that can turn into radio waves in the strong magnetic fields of neutron stars. As Jocelyn Bell Burnell, who discovered pulsars, found out, these objects are true cosmic laboratories where we can search for signs of new physics. Moreover, the survey covers millions of star systems, many of which contain exoplanets.
Observations were made with the OVRO–LWA array, consisting of 352 dipole antennas spread over distances up to 2.4 km. Raw data from each element underwent digital processing: first, splitting into fine frequency channels (down to 10 Hz), then cross-correlation between antennas on GPUs, calibration, and construction of all-sky images. In essence, this was spectroscopy at ultra-high resolution. A key step was spectral filtering to remove the smooth background and reveal narrow lines. Candidate detection employed matched filtering with kernels of varying widths—from 10 Hz to 1 kHz—and significance was assessed with false-positive control.
In a single 30-second epoch, over 3 million images were formed at each frequency. After quality cuts and automatic removal of extended sources and obvious radio interference, three candidates with signal-to-noise ratio above 10 remained. Detailed analysis with higher time and spectral resolution showed that none of them are compact point sources: two candidates at 60 MHz break up into spatially separated components, and the third at 84 MHz appears irregularly and shifts between frames. Thus, all three are identified as terrestrial radio interference. The survey sensitivity was ~100 Jy per channel, yielding 10-sigma upper limits on equivalent isotropically radiated power (EIRP): ~10^14 W for a source at 10 parsecs and ~10^18 W at 1 kiloparsec. Even in the plane of the Galaxy, where emission is brightest, no narrowband signals were found.
The results demonstrate that even short observations with extreme spectral resolution and a wide field of view can cover millions of star systems without pre-selecting targets. The absence of bright, continuous narrowband signals in this band constrains hypothetical technosignatures, but does not rule out weaker, pulsed, or frequency-drifting sources. For dark matter physics, this is just the beginning: current limits on the radio photon flux from axion conversion are still far from theoretical predictions, but the method can be scaled up.
In the future, increasing integration time (to hours or more) and applying drift searches will lower the detection threshold by an order of magnitude. Additionally, coherently stacking images of many neutron stars can boost the signal from axion-like particles. Advances in software processing on NVMe drives, as tests have shown, will speed up the pipeline severalfold, opening the path to real-time all-sky monitoring. Synchronization with gravitational wave detectors is also possible, allowing rapid follow-up of radio emission from mergers. A separate direction will be observations of the 21 cm hydrogen line to study the cosmic dawn.
This work lays the groundwork for future decameter-wave surveys and strengthens the connection between astronomy and fundamental physics. It will influence SETI programs and dark matter particle detection experiments.
Next steps include deeper integrations, accounting for frequency drift due to planetary motion, and joint analysis of multiple epochs. There are also plans to apply the method for detailed mapping of terrestrial radio interference and improving its removal algorithms.
The study is directly connected to two unsolved problems: the nature of dark matter and the question of the existence of extraterrestrial civilizations. Detection of an axion line in the radio band would be a revolution in particle physics, and any technosignature would be the greatest discovery in human history.
🎯 Interestingly, in 30 seconds the OVRO–LWA telescope produced more images than all Instagram users during the same time span. And none of them had aliens in them.
🎬 The very idea of searching for narrowband signals from our cosmic siblings is familiar to us from Carl Sagan's novel and film 'Contact.' There, the heroine Dr. Arroway perseveringly listened to the radio noise until she caught a mysterious signal from the Vega system. Our telescope is also listening, but so far only hears static.