Statistical Families of the Trackable Earth-Orbiting Anthropogenic Space Object Population in Their Specific Orbital Angular Moment Space
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:' The Data The 12 datasets included in this submission are JSON files that contain orbital information regarding ASOs over a 12-month period in 2019. Each dataset is a snapshot of the objects on the first day of each month. The orbital information includes angular momentum, semi-major axis, eccentricity, mean anomaly, longitude of the ascending node, equinoctial elements, and inclination. The data was acquired from ASTRIAGraph. Python scripts were written to convert the data from JSON format to a clean, manipulatable Pandas data frame. The angular momentum vectors in the x, y, and z axes were isolated and fed into K-means and spectral clustering models were implemented after conversion to polar coordinates. From here, plotting can be done if one wishes to observe the created clusters. The elbow method was used to determine th' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Anthropogenic Space Objects","Space Domain Awareness","Space Traffic Management"]} <|eot_id|>
 Here is the Description of a dataset. Description:' The Data The 12 datasets included in this submission are JSON files that contain orbital information regarding ASOs over a 12-month period in 2019. Each dataset is a snapshot of the objects on the first day of each month. The orbital information includes angular momentum, semi-major axis, eccentricity, mean anomaly, longitude of the ascending node, equinoctial elements, and inclination. The data was acquired from ASTRIAGraph. Python scripts were written to convert the data from JSON format to a clean, manipulatable Pandas data frame. The angular momentum vectors in the x, y, and z axes were isolated and fed into K-means and spectral clustering models were implemented after conversion to polar coordinates. From here, plotting can be done if one wishes to observe the created clusters. The elbow method was used to determine th' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
 The Data The 12 datasets included in this submission are JSON files that contain orbital information regarding ASOs over a 12-month period in 2019. Each dataset is a snapshot of the objects on the first day of each month. The orbital information includes angular momentum, semi-major axis, eccentricity, mean anomaly, longitude of the ascending node, equinoctial elements, and inclination. The data was acquired from ASTRIAGraph. Python scripts were written to convert the data from JSON format to a clean, manipulatable Pandas data frame. The angular momentum vectors in the x, y, and z axes were isolated and fed into K-means and spectral clustering models were implemented after conversion to polar coordinates. From here, plotting can be done if one wishes to observe the created clusters. The elbow method was used to determine th
Anthropogenic Space Objects; Space Domain Awareness; Space Traffic Management