Long-Term Changes in Blazar Radio Waves
This study examines radio wave variations in AGNs over 42 years.
Sofia Kankkunen, Merja Tornikoski, Talvikki Hovatta, Anne Lähteenmäki
― 5 min read
Table of Contents
Active Galactic Nuclei (AGNS) are among the most powerful and energetic objects in the universe. They can emit light across a wide range of wavelengths, including radio waves, which is where we focus our attention. This article dives into the long-term changes in radio waves from a specific group of these AGNs, measured at 37 GHz.
Blazars?
What Are AGNs andAGNs are regions at the centers of galaxies that are highly active and emit massive amounts of energy, often outshining their host galaxies. When we observe these objects, particularly those whose jets are pointed almost directly at us, we call them blazars. Blazars are famous for their bright and rapid changes in brightness, meaning they can go from dim to bright in a flash.
What Did We Study?
The study analyzed 123 AGNs over a period that extended up to an impressive 42 years. The researchers wanted to identify the typical Timescales of variability in these sources and see if such an extensive observation window was sufficient to capture their behavior over time.
How Did We Analyze the Data?
To understand the variability, the researchers used a method called a periodogram, a fancy way of breaking down how power (in this case, brightness) is distributed over different timescales. They looked for something called a bend in the power spectrum, which would indicate a shift from one type of variability behavior to another. They compared two models to see which fit the data better: a bending Power Law and a simple power law.
The Bending Power Law and Simple Power Law
In simple terms, the power law describes how consistent the variations are. When we say bending power law, we mean that this rule changes at a certain point, suggesting a new regime of behavior in how brightness varies. The simple power law, on the other hand, is more straightforward, suggesting the same degree of variability across the entire observation period. The researchers hoped to find a noticeable difference between these two models, which could help reveal the characteristic timescales of the AGNs.
What Did We Find?
Surprisingly, it turned out that researchers were only able to confidently determine the timescale for 11 out of the 123 sources studied. These timescales averaged around 1300 days, with their power-law slopes averaging around 2.3. This tells us that the brightness of these sources varies slowly over time.
However, it became clear that 42 years might not always be enough to get a complete picture. In some cases, the variability was so slow or the data gathering so uneven that the impact of longer monitoring would be necessary to draw more conclusions.
Comparison with Other Data
To further dig into the results, the researchers compared these timescales with previous observations made at 43 GHz using a technique called very long baseline interferometry (VLBI). This method looks at very fine details of the jets emitted by AGNs. The researchers noted that sometimes the duration for which a bright spot (or knot) in a jet was visible connected well with the characteristic timescale they observed in their radio data.
Issues with Observational Data
The study highlighted some challenges researchers face with long-term monitoring. Fluctuating weather conditions can interrupt observations, leading to gaps in data collection. This uneven sampling means there could be biases in the results because brighter, more active sources may receive more observational attention than quieter ones.
Noise Factor
TheIn dealing with all this data, the team encountered various types of noise, which can obscure the true signal of AGN variability. In simpler terms, when you’re trying to listen to a guitar solo at a rock concert, the crowd's noise can make it difficult to hear the music clearly. They encountered three types of noise: white noise (no correlation), flicker noise (correlation), and red noise (showing a specific trend over time). The researchers adjusted for this noise to make sure their results were as accurate as possible.
The Importance of Timescales
Understanding the timescales of AGN variability helps researchers learn more about the underlying processes that cause these changes. It can shed light on phenomena such as the energy production mechanisms at play within the jets. Are the jets acting like champagne fountains, with bubbles of energy bursting forth at random intervals, or is there a more systematic pattern?
Future Directions
The findings in this study set the stage for more in-depth investigations. The researchers plan to refine their methods and adjust their models to get more precise results, especially when working with the limited data available.
Conclusion
Studying the long-term variability of AGNs is like piecing together a cosmic puzzle. Each observation provides a snapshot of these dynamic, energetic systems, helping us understand the ever-changing universe. While this study revealed some intriguing results, there is still much to learn about the cosmos hidden in the radio waves emitted by AGNs.
In summary, the long-term radio variations of AGNs represent a fascinating field of study, filled with challenges, surprises, and the promise of new discoveries. Just like trying to keep track of a multi-part TV series, researchers are piecing together the backstory of some of the most energetic phenomena in our universe, one episode- or in this case, one observation- at a time.
Title: Long-term radio variability of active galactic nuclei at 37 GHz
Abstract: We present the results of analysing the long-term radio variability of active galactic nuclei at 37 GHz using data of 123 sources observed in the Aalto University Mets\"ahovi Radio Observatory. Our aim was to constrain the characteristic timescales of the studied sources and to analyse whether up to 42 years of monitoring was enough to describe their variability behaviour. We used a periodogram to estimate the power spectral density of each source. The power spectral density is used to analyse the power content of a time series in the frequency domain, and it is a powerful tool in describing the variability of active galactic nuclei. We were interested in finding a bend frequency in the power spectrum, that is, a frequency at which the slope $\beta$ of the spectrum changes from a non-zero value to zero. We fitted two models to the periodograms of each source, namely the bending power law and the simple power law. The bend frequency in the bending power law corresponds to a characteristic timescale. We were able to constrain a timescale for 11 out of 123 sources, with an average characteristic timescale x_b = 1300 days and an average power-law slope $\beta$ = 2.3. The results suggest that up to 42 years of observations may not always be enough for obtaining a characteristic timescale in the radio domain. This is likely caused by a combination of both slow variability as well as sampling induced effects. We also compared the obtained timescales to 43 GHz very long baseline interferometry images. The maximum length of time a knot was visible was often close to the obtained characteristic timescale. This suggests a connection between the characteristic timescale and the jet structure.
Authors: Sofia Kankkunen, Merja Tornikoski, Talvikki Hovatta, Anne Lähteenmäki
Last Update: Dec 11, 2024
Language: English
Source URL: https://arxiv.org/abs/2412.08191
Source PDF: https://arxiv.org/pdf/2412.08191
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
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