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Evolved Star Classification Dataset
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About
Data for classifying stars using asteroseismology. It focuses on distinguishing between Red Giant Branch (RGB) stars and Helium Burning (HeB) stars based on their oscillation properties. This information is valuable for understanding stellar evolution and characterising different types of giant stars.
Columns
- Pop: Represents the stellar population. A value of '0' indicates a Red Giant Branch (RGB) star, while '1' signifies a Helium Burning (HeB) star.
- Dnu F8.5 (uHz): The mean large frequency separation of modes with the same degree and consecutive order, denoted as Δnu, measured in microhertz (uHz).
- numax F9.5 (uHz): The frequency at which maximum oscillation power occurs, also measured in microhertz (uHz).
- epsilon F7.3: Specifies the location of the l=0 mode.
Distribution
The data is presented in a tabular format, likely a CSV file, with 4 columns and 1001 entries. There are no mismatched or missing values reported across the columns.
- Pop: Contains 288 entries classified as RGB (0) and 713 as HeB (1).
- Dnu: Values range from 2.5 to 17.7 uHz.
- numax: Values span from 18 to 240 uHz.
- epsilon: Values are between 0.01 and 1.
Usage
This data is suitable for developing and testing classification algorithms in asteroseismology, for educational purposes in astrophysics, and for research into stellar interiors and evolutionary stages of red giant stars. It can support machine learning model development for automated star classification.
Coverage
The data originates from asteroseismic observations, focusing on the physical properties of stars to classify their evolutionary stage as either Red Giant Branch or Helium Burning. There is no specific geographic or time-based coverage as it relates to astronomical objects and their intrinsic characteristics.
License
CC0: Public Domain
Who Can Use It
Astronomers, astrophysicists, data scientists, and researchers interested in stellar classification, asteroseismology, and building predictive models for star types will find this data beneficial. It is also suitable for students and educators in relevant scientific fields.
Dataset Name Suggestions
- Stellar Oscillation Classification Parameters
- Red Giant and Helium Burning Star Data
- Asteroseismic Star Type Classification
- Evolved Star Classification Dataset
- RGB-HeB Stellar Data
Attributes
Original Data Source: Evolved Star Classification Dataset
QUALITY