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:' Motivation Our motivation for this analysis is to create an efficient and transparent system to categorize anthropogenic space objects (ASO's) based on orbital behavior, namely angular momentum. Doing so, we hope to lay the groundwork for future studies that involve trackability, detection, and identification. Through the creation of 'orbital zip-codes', and characterization of these clusters of ASOs in angular momentum space, we can better understand their orbital behavior to a greater extent and identify migration patterns. Objects that moved from one cluster to another were considered to be 'nomadic' objects. In theory, ASOs should have a constant or near-constant angular momentum value. Objects that exhibit significant movement between clusters require keen investigation as to why they exhibit erratic orbital migration p' . 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:' Motivation Our motivation for this analysis is to create an efficient and transparent system to categorize anthropogenic space objects (ASO's) based on orbital behavior, namely angular momentum. Doing so, we hope to lay the groundwork for future studies that involve trackability, detection, and identification. Through the creation of 'orbital zip-codes', and characterization of these clusters of ASOs in angular momentum space, we can better understand their orbital behavior to a greater extent and identify migration patterns. Objects that moved from one cluster to another were considered to be 'nomadic' objects. In theory, ASOs should have a constant or near-constant angular momentum value. Objects that exhibit significant movement between clusters require keen investigation as to why they exhibit erratic orbital migration p' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
 Motivation Our motivation for this analysis is to create an efficient and transparent system to categorize anthropogenic space objects (ASO's) based on orbital behavior, namely angular momentum. Doing so, we hope to lay the groundwork for future studies that involve trackability, detection, and identification. Through the creation of 'orbital zip-codes', and characterization of these clusters of ASOs in angular momentum space, we can better understand their orbital behavior to a greater extent and identify migration patterns. Objects that moved from one cluster to another were considered to be 'nomadic' objects. In theory, ASOs should have a constant or near-constant angular momentum value. Objects that exhibit significant movement between clusters require keen investigation as to why they exhibit erratic orbital migration p
Anthropogenic Space Objects; Space Domain Awareness; Space Traffic Management