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New Method Reveals Stellar Rotation Periods

Researchers measure rotation periods of stars using a new innovative method.

― 7 min read


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The Kepler space telescope has been a groundbreaking tool for collecting information on the Rotation Periods of numerous stars. It has measured rotation periods for thousands of stars, but some still lack this data. This is particularly true for stars that display irregular Brightness patterns, making it hard to identify their rotation periods.

To address this shortcoming, a new method has been developed to measure the rotation periods of stars with more unpredictable light changes. This technique has significantly expanded the number of stars for which we can determine rotation periods, especially stars that are not very variable, akin to our Sun.

The Importance of Stellar Rotation Periods

The rotation period of a star is an important characteristic that is closely associated with its activity level and age. Research has shown a pattern where younger stars tend to rotate faster and exhibit more activity. In contrast, older stars rotate more slowly and show less activity. This relationship has led to the development of a method called gyrochronology, which helps researchers estimate a star's age based on its rotation period.

Typically, scientists measure stellar rotation periods by observing how the brightness of a star changes over time. They look for regular patterns in this brightness, caused by spots on the star's surface that rotate in and out of view. The nearly continuous observations made by the Kepler telescope over four years have allowed for the collection of rotation period data for many stars.

Among the extensive data collected, one of the largest rotations periods datasets has included a significant number of Kepler stars, which has been useful for various scientific studies.

Despite these advances, some stars' rotation periods have not been successfully measured, particularly those with less stable brightness patterns. This often skews our understanding of stellar behavior, especially among stars similar to our Sun.

A New Method for Measuring Rotation Periods

The proposed method leverages the Gradient of the Power Spectrum (GPS), which can effectively measure the rotation periods of stars even when they show irregular brightness changes. The GPS method identifies an “inflection point” in the brightness data, which correlates well with the star’s rotation period.

In the analysis of stars from the Kepler archive, researchers combined the GPS method with traditional techniques. This combination allowed them to derive rotation periods for many more stars than previously possible. The GPS method proved especially useful for cooler stars with effective Temperatures below 4000 K, which are believed to have spots at higher latitudes.

Data Collection

Data for this study was taken from the long-cadence light curves of Kepler stars, specifically from a particular release of the Kepler data. The light curves represent how the brightness of these stars changes over time, and researchers carefully chose which data to include in their analyses.

There were known issues with the Kepler data, many of which stemmed from instrumental effects that could obscure the true stellar brightness variations. These variations could mimic the behavior of slower-rotating stars, so great care was taken to clean the data and eliminate misleading signals.

To find a suitable set of stars for analysis, the researchers used criteria to select main-sequence stars, which are stars that are in a steady phase of their lifecycle. After a careful review, a large sample of stars was chosen for the study.

Applying the GPS Method

The light curves used in the study were processed to enhance their clarity. Each observing quarter of data was adjusted and cleaned up, making it easier to identify the brightness changes that correspond to stellar rotation.

When calculating the ACF (auto-correlation function), researchers looked for patterns in the brightness changes over time, measuring the fluctuations and determining whether they showed any periodicity.

Next, they created a wavelet power spectrum, which is a tool that helps visualize changes in the brightness data across different periods. The GPS method was then employed to examine these power spectra, looking for inflection points that would reveal the rotation periods.

Evaluating the Results

For many stars in the sample, researchers measured inflection point periods, which they compared against rotation periods derived from traditional methods. The findings showed a good correlation between these two measurements, though certain discrepancies were noted.

A key result from this study revealed that variations in temperature among stars influenced the calibration factor used in the GPS method. In cooler stars, the GPS method frequently indicated longer periods, likely due to the position of spots on the star's surface.

Metrics for Assessing Period Reliability

To ensure the accuracy of their findings, researchers defined several metrics for assessing the reliability of the determined rotation periods. These metrics took into account the quality of the light curve data, the presence of periodic signals, and overall variability.

The highest peaks in the power spectrum and auto-correlation function were used to quantify periodicity. In particular, a scoring system was created where stars were given points based on how well their light curves displayed consistent periodic behavior.

Stars that showed clear periodicity received higher points, while those that were dominated by noise were assigned lower scores. A threshold was set, determining that stars achieving a certain score would be considered as having reliably measured rotation periods.

Findings From the Study

The new method allowed researchers to determine rotation periods for a larger sample of stars than ever before. They discovered numerous new rotation periods, many of which matched closely with the average rotation and variability seen in the Sun.

The improved detection of rotation periods was most notable for stars that exhibited smaller and more irregular brightness variations. The GPS method proved to be especially useful in these cases, allowing for the detection of periods that traditional methods had missed.

The study also highlighted the impact of stellar temperature on rotation periods. For example, stars that were cooler than 4000 K often showed a tendency toward higher latitudes for their spots, leading to longer inferred rotation periods.

Understanding Stellar Activity Levels

The research delved deeper into how these rotation periods relate to stellar activity. As the study found, there is a complex interplay between a star's rotation and its activity indicators, which can include brightness variations linked to magnetic activity on the star’s surface.

In examining the results across different temperature ranges, researchers found that stars have different behaviors depending on their temperatures. For example, hotter stars showed fewer signs of regular variability compared to cooler stars.

More specifically, the average variability of stars with new rotation periods was found to be quite similar to that of the Sun. This finding points to a clearer understanding of solar-like behavior in stars across different categories.

Comparison of GPS and Traditional Methods

When comparing results from the GPS method to traditional methods, a distinct difference was observed particularly in specific periods ranging from 10 to 20 days. The GPS method did not show the same kind of anomalies that traditional methods did, which often produced misleading results.

The GPS method's ability to successfully measure rotation periods in stars with smaller variabilities stands as a key advantage over previous approaches. This ability can lead to a more accurate representation of how these stars behave compared to our Sun.

Future Directions

The findings of this study pave the way for future research into stellar rotation and activity. By continuing to refine these methods, researchers could uncover even more about our universe.

In particular, the approach using the GPS method can be expanded to scan for periods in less active stars that were previously overlooked. As more data becomes available, the insights gained from understanding stellar rotation will enhance our knowledge of stellar evolution and behavior.

The study also emphasizes the need for further examination of stellar features, particularly regarding the positioning of magnetic spots on various types of stars. Such studies could yield additional valuable data for interpreting how stars like our Sun operate over time.

Conclusion

In summary, the research highlights an innovative approach to measuring stellar rotation periods using the GPS method. By successfully applying this technique to a vast number of stars, researchers provide a clearer picture of stellar behavior and variability.

This new method not only sheds light on the rotation periods of numerous stars but also emphasizes the importance of considering temperature and other factors in understanding stellar activity. As scientists continue to explore this area, there is potential for even more groundbreaking discoveries that will deepen our understanding of the cosmos.

Original Source

Title: New rotation period measurements of 67,163 Kepler stars

Abstract: The Kepler space telescope leaves a legacy of tens of thousands of stellar rotation period measurements. While many of these stars show strong periodicity, there exists an even bigger fraction of stars with irregular variability for which rotation periods are unknown. As a consequence, many stellar activity studies might be strongly biased toward the behavior of more active stars with measured rotation periods. To at least partially lift this bias, we apply a new method based on the Gradient of the Power Spectrum (GPS). The maximum of the gradient corresponds to the position of the inflection point (IP). It was shown previously that the stellar rotation period $P_{rot}$ is linked to the inflection point period $P_{IP}$ by the simple equation $P_{rot} = P_{IP}/\alpha$, where $\alpha$ is a calibration factor. The GPS method is superior to classical methods (such as auto-correlation functions (ACF)) because it does not require a repeatable variability pattern in the time series. From the initial sample of 142,168 stars with effective temperature $T_{eff}\leq6500K$ and surface gravity $log g\geq4.0$ in the Kepler archive, we could measure rotation periods for 67,163 stars by combining the GPS and the ACF method. We further report the first determination of a rotation period for 20,397 stars. The GPS periods show good agreement with previous period measurements using classical methods, where these are available. Furthermore, we show that the scaling factor $\alpha$ increases for very cool stars with effective temperatures below 4000K, which we interpret as spots located at higher latitudes. We conclude that new techniques (such as the GPS method) must be applied to detect rotation periods of stars with small and more irregular variabilities. Ignoring these stars will distort the overall picture of stellar activity and, in particular, solar-stellar comparison studies.

Authors: Timo Reinhold, Alexander I. Shapiro, Sami K. Solanki, Gibor Basri

Last Update: 2023-08-08 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2308.04272

Source PDF: https://arxiv.org/pdf/2308.04272

Licence: https://creativecommons.org/licenses/by-sa/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.

Thank you to arxiv for use of its open access interoperability.

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