Tyler O'Neal, Staff Editor PHYSICS

Manchester scientists take a step towards detecting nanohertz gravitational-wave background

The European Pulsar Timing Array (EPTA) is a scientific collaboration bringing together teams of astronomers around the largest European radio telescopes, as well as groups specialized in data analysis and supercomputer modeling of gravitational wave (GW) signals. 1920 eptagravitationalwaveback

The international research team has a detailed analysis of a candidate signal for the since-long sought gravitational wave background (GWB) due to in-spiraling supermassive black-hole binaries. Although a detection cannot be claimed yet, this represents another significant step in the effort to finally unveil GWs at very low frequencies, of order one billionth of a Hertz.

The candidate signal has emerged from an unprecedented detailed analysis and using two independent methodologies. Moreover, the signal shares strong similarities with those found from the analyses of other teams.

Dr. Michael Keith of The University of Manchester said: “For the last 20 years or so we have been trying to detect the gravitational waves produced by supermassive black holes in the centers of distant galaxies. Although these waves are very tiny - nanosecond fluctuations over tens of years, the detection of these waves have implications for the formation of all galaxies, including our own Milky Way.

“So far nobody has detected these waves, but we have found an intriguing signal in the data that matches some, but not all, of the properties of the gravitational wave signal, we are looking for. The paper presents the data and some of the extensive range of tests we have done to support the hypothesis that the observed signal is from ultra-low frequency gravitational waves passing over the earth.”

The results were made possible thanks to the data collected over 24 years with five large-aperture radio telescopes in Europe. They include; the world-renowned Lovell Telescope at The University of Manchester’s Jodrell Bank, MPIfR’s 100-m Radio Telescope near Effelsberg in Germany, the 94-m Nançay Decimetric Radio Telescope in France, the 64-m Sardinia Radio Telescope at Pranu Sanguni, Italy, and the 16 antennas of the Westerbork Synthesis Radio Telescope in the Netherlands. In the observing mode of the Large European Array for Pulsars (LEAP), the EPTA telescopes are tied together to synthesize a fully steerable 200-m dish to greatly enhance the sensitivity of the EPTA towards gravitational waves.

Radiation beams from the pulsars’ magnetic poles circle their rotational axes, and we observe them as pulses when they pass our line of sight, like the light of a distant lighthouse. Pulsar timing arrays (PTAs) are networks of very stably rotating pulsars, used as galactic-scale GW detectors. In particular, they are sensitive to very low-frequency GWs in the billionth-of-a-Hertz regime. This will extend the GW observing window from the high frequencies (hundreds of Hertz) currently observed by the ground-based detectors LIGO/Virgo/KAGRA.

While those detectors probe short-lasting collisions of stellar-mass black holes and neutron stars, PTAs can probe GWs such as those emitted by systems of slowly in-spiraling supermassive black-hole binaries hosted at the centers of galaxies. The addition of the GWs released from a cosmic population of these binaries forms a GWB.

The small fluctuations in the arrival times of the pulsars’ radio signal at Earth can be measured, caused by the spacetime deformation due to passing-by very-low-frequency gravitational waves. In practice, these deformations manifest as sources of very low-frequency noise in the series of the observed times of arrival of the pulses, a noise which is shared by all the pulsars of a pulsar timing array.

However, the amplitude of this noise is incredibly tiny (estimated to be tens to a couple of hundreds of a billionth of a second) and in principle, many other effects could impart that to any given pulsar in the PTA.

To validate the results, multiple independent codes with different statistical frameworks were then used to mitigate alternate sources of noise and search for the GWB. Importantly, two independent end-to-end procedures were used in the analysis for cross-consistency. Additionally, three independent methods were used to account for possible systematics in the Solar-system planetary parameters used in the models predicting the pulse arrival times, a prime candidate for false-positive GW signals.

The EPTA analysis with both procedures found a clear candidate signal for a GWB and its spectral properties (i.e. how the amplitude of the observed noise varies with its frequency) remain within theoretical expectations for the noise attributable to a GWB.

Dr. Nicolas Caballero, a researcher at the Kavli Institute for Astronomy and Astrophysics in Beijing and co-lead author explains: “The EPTA first found indications for this signal in their previously published data set in 2015, but as the results had larger statistical uncertainties, they were only strictly discussed as upper limits. Our new data now clearly confirm the presence of this signal, making it a candidate for a GWB."

The Ripple Factor: Economic losses from weather extremes can amplify each other across the world

Tyler O'Neal, Staff Editor PHYSICS

Weather extremes can cause economic ripples along our supply chains. If they occur at roughly the same time the ripples start interacting and can amplify even if they occur at completely different places around the world, a new study shows. The resulting economic losses are greater than the sum of the initial events, the researchers find in supercomputer simulations of the global economic network. Rich economies are affected much stronger than poor ones, according to the calculations. Currently, weather extremes around the world are increasing due to greenhouse gas emissions from burning fossil fuels. If they happen simultaneously or in quick succession even at different places on the planet, their economic repercussions can become much bigger than previously thought. Photo by Ian Taylor on Unsplash

“Ripple resonance, as we call it, might become key in assessing economic climate impacts especially in the future,” says Kilian Kuhla from the Potsdam Institute for Climate Impact Research, the first author of the study. “The effect of weather extremes in our globalized economy yield losses in some regions that face supply shortages and gains in others that see increased demand and thereby higher prices. But when extremes overlap economic losses in the entire global supply network are on average  20 percent higher. This is what we see in our simulations of heat stress events, river floodings, and tropical cyclones; and it is a most worrying insight.”

Generally, extreme weather leading to, for example, the flooding of a factory does lead not only to direct local output losses. It is known that the economic shocks also propagate in the global trade network. Now the researchers find that these propagated effects do not just add up but can amplify each other. The researchers modeled the response of the global network, calculating 1.8 Million economic relations between more than 7000 regional economic sectors.

Richer economies are hit harder

While not all countries suffer from the ripple resonance effect, most countries that are economically relevant do. Specifically China, due to its prominent position in the world economy, shows an above-average effect of more than 27% of extra losses when extreme events overlap compared to when they hit independently from each other.

“The phenomenon of economic ripple resonance means that two separate incidents send shock waves through the world economy, and those waves build up – like a tidal wave,” says Anders Levermann department head at Potsdam Institute and scientist at Columbia University in New York, who led the author team. “Supply shortages increase the demand and that increases the prices. Firms have to pay more for their production goods.  In most cases, this will get passed down to the consumer. Since weather extremes happen abruptly, there’s no smooth adaptation of capacities and prices at least for a short period of time. If other suppliers fail, due to economic repercussions of another weather extreme elsewhere, the interfering price shocks are intensified.”

The overlap makes total losses larger than the sum of two events’ damages

“If something gets rare, it gets expensive, and if it gets rare worldwide it gets very expensive – clearly, that’s not new,” says Levermann. “The new thing is the overlap. So far, people mostly looked at the local damage or at most the economic repercussions of one disaster at a time. Now we find that a second disaster happening at about the same time, even if it’s in a different corner of the world, can lead to higher worldwide economic losses.”

This holds not just for simultaneous but also for consecutive disasters if the economic effects of the different disasters overlap. “By allowing climate change to run wild, we add climate-induced economic losses on top of everything else. If we do not rapidly reduce greenhouse gases, this will cost us – even more than we’ve expected so far.”

TU Kaiserslautern students present new technique to identify, predict stroke lesions

Tyler O'Neal, Staff Editor PHYSICS

Strokes are the cause of various disabilities, as they damage the brain such that some areas do not function properly anymore. Those areas are called lesions. Directly identifying or predicting lesions in clinical daily routine is still not possible with today’s imaging tools, creating the need for new software solutions. Scientists are working on such software that could greatly improve therapy preparation, improving the patient’s condition faster. It uses neural network technology, learning from CT data processed by clinicians. The resulting prediction of strokes lesions yields a system helping to spot current damage and to forecast the healing process. The Technische Universität Kaiserslautern, Germany team will be presenting their project at the medical technology show Medica held from November 15 to 18 in Düsseldorf, Germany at the research stand of Rhineland-Palatinate (stand E80, hall 3). A research team around Robin Maack (l.) und Kurt Schardt is working on the new software.

Strokes cause the closure of vessels leading to a lack of blood supply in the brain. Therefore, some areas are not provided sufficiently with oxygen which causes damage. Those areas, called lesions, are not fully functional anymore and require treatment. Currently, lesions are still hard to locate by only using CT imaging. “Lesions might evolve over time by growing and shrinking,” commented Robin Maack, a doctoral student in the Computer Graphics and Human-Computer Interaction group of Professor Dr. Hans Hagen at Technische Universität Kaiserslautern. “The final shape of the lesion is of great importance for the treatment and rehabilitation of a patient.” Together with Dr. Christina Gillmann from Leipzig University, Maack is working on a new method to quickly identify lesions, including the prediction of their future shape.

To achieve their goal, they use a neural network. “This is a technique of Artificial Intelligence using data to learn about lesion properties in CT images,” explains Maack. “Those special algorithms implement the clinicians’ experience, drawing the lesion shapes into existing images and thus feeding the network with information.” With this procedure, Maack and Gillmann can analyze new CT images without the need for direct assistance by a clinician.

This technique is a valuable addition to current stroke treatment to speed up treatment plan creation. The team will be presenting their work at the trade show.