Expert Voices

SETI is searching for alien life at previously unexplored frequencies

A telescope image of three galaxies swirling around one another as they collide, with a bright orange burst of radiation at the center
(Image credit: ESA/NASA)

Is there life beyond Earth? The question has turned out to be one of the hardest to answer in science. Despite the seemingly boundless expanse of the universe, which implies there’s potential for abundant life, the vast distances between stars render the search akin to locating a needle in a cosmic haystack.

The Search for Extraterrestrial Intelligence (Seti) constitutes a branch of astronomy dedicated to finding extraterrestrial life by searching for unusual signals, dubbed technosignatures. The identification of a technosignature wouldn’t just signify the existence of life, but specifically point to the presence of intelligent life using advanced technology.

That said, 60 years of searches have so far come up short. But now my colleagues at Breakthrough Listen and I have started investigating a previously unexplored range of frequencies.

Seti makes the assumption that extraterrestrial civilisations might rely on technology in a similar way to people on Earth, such as using cell phones, satellites or radar.

Related: The search for extraterrestrial intelligence gets a new home at Oxford

Since a significant portion of such technology generates signals that are prominently detectable in radio frequencies, focusing on these wavelengths serves as a logical starting point in the quest for potential extraterrestrial intelligence.

Previous technosignature surveys have included only the radio frequency band above 600 MHz, leaving lower frequencies virtually unexplored. That’s despite the fact that everyday communication services such as air traffic control, marine emergency broadcasting and FM radio stations all emit this type of low-frequency radiation on Earth.

The reason it hasn’t been explored is that telescopes that operate at these frequencies are rather new. And lower-frequency radio waves have less energy, meaning they can be more challenging to detect.

In our concluded survey, we ventured into these frequencies for the first time ever.

The Low Frequency Array (Lofar) is the world’s most sensitive low-frequency telescope, operating from 10-250 MHz. It’s composed of 52 radio telescopes with more on the way, spread across Europe. These telescopes can reach a high resolution when used in unison.

Radio telescope at Birr, Ireland. (Image credit: wikipedia, CC BY-SA)

Our survey, however, only made use of two of these stations: one situated in Birr, Ireland, and the other in Onsala, Sweden. We surveyed 44 planets orbiting other stars than our Sun that had been identified by Nasa’s Transiting Exoplanet Survey Satellite. Over the course of two summers, we scanned these planets at 110 to 190 MHz with our two telescopes.

Initially, this doesn’t seem like a large amount of targets, but low-frequency observation boasts a major advantage in having large fields of view compared with their higher-frequency siblings. That’s because the area of the sky covered decreases with higher frequencies.

In the case of Lofar, we covered 5.27 square degrees of the sky for each pointing of our telescopes. This culminated in 36,000 targets per telescope pointing – or more than 1,600,000 targets in total, when you check what other stars are nearby and include their planets as well.

Interfering signals

Searching for technosignatures from space introduces a significant challenge — the same technosignatures are ubiquitous on Earth. This presents an obstacle as the telescopes in these searches boast sensitivity levels that can detect signals, such as a phone call, from halfway across the solar system.

Consequently, the data collected is inundated with thousands of signals originating from Earth, posing a considerable difficulty in isolating and identifying signals that could be of extraterrestrial origin. The need to sift through this extensive and noisy dataset adds a layer of complexity to the search.

Overview of the stars searched for technosignatures by Lofar in our Milky Way. (Image credit: Owen Johnson, CC BY)

We came up with an innovative approach to mitigating such radio frequency interference, called the “coincidence rejection” method. This takes into account the local radio emissions at each of our telescopes. For example, if I am using the telephone close to the telescope in Ireland to call my supervisor, that same call won’t appear in the data in Sweden, and vice versa (mainly because the telescope isn’t pointing in our direction, it’s pointing at an exoplanet candidate).

So, we decided to only include signatures in the dataset if they exhibited a simultaneous presence at both stations, suggesting they come from outside Earth.

In this way, we whittled down thousands of candidate signals to zero. This means we didn’t find any signs of intelligent life with our search, but we have only just started – and there are likely to be an enormous number of Earth-like planets out there. Knowing that the coincidence rejection method works with a high success rate may be key to helping us discover life at one of these planets in the future.

There are many ways forward for technosignature searches at low frequencies. Currently, there is a sister survey (Nenufar) being carried out on that operates at 30-85 MHz. Along with this, further Lofar observations will increase the volume of the survey by a factor of ten over the course of the coming year. The collected data is also used for investigating astronomical objects known as pulsars, fast radio bursts, radio exoplanets and more.

Thankfully, we’re only at the start of a long journey. I have no doubt that many wondrous things will be found. And if we’re lucky, we may reap the biggest reward of all: some company in the cosmos.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Owen Johnson
PhD Researcher of Astrophysics, Trinity College Dublin

I am an Irish astrophysicist, currently enrolled as a PhD researcher at Trinity College Dublin , jointly supported by UC Berkeley under the supervision of Prof. Evan Keane and Dr. Vishal Gajjar . My research is based on transient astronomical objects using everything from pulsars as gravitational probes to searching large data sets for signs of ET.

I completed my undergraduate degree in Physics with Astronomy and Space Science at University College Dublin (UCD) in 2022. During this time I worked as a research assistant at UC Berkeley. Working primarily using LOw Frequency ARrays (LOFAR) searching for technosignatures, pulsars and FRBs.

  • Homer10
    My thinking on this is that receiving a Extra Terrestrial signal is possible, but normal methods of signal processing make hearing these signals very hard. I think if the proper signal processing were used, these faint wisps of RF energy could be detected. The big problem here is distance, but another problem is that all those sources are antennas emitting these ET signals on another moving planet. Our planet is rotating on it's axis sweeping the receiving antennas here. It's also traveling around the Sun, and the Sun is going around the Galaxy. This is the movement of the Earth based detector. If there was a source on an exoplanet, that source would be rotating around that planets axis. And that planet would be going around it's star. And finally that star is moving in relation to our Sun. We can control the pointing of our radio telescopes very well, and we know very precisely the speed involved with everything involved with Earth, Sun, and our solar system, but that exoplanet is hard to pin down. That darn distance thing again. If there is any rotation of the exoplanet, it would mean that the signals coming from that planet will probably be very short blips as the signal sweeps past Earth, and we get a very brief 1us -100ms burst of signal. This makes the search much harder. If signal processing could be developed to better pick out a brief organized signal burst from an ocean of noise, then these kinds of signals might be able to be detected. It would have to be something different from the usual Fourier transforms processing that is done now. It would have to be fast, and spot quickly a short signal blip mixed with a ton of noise. This is a tall order.