Estimating stellar effective temperatures and detected angular parameters using stochastic particle swarm optimization

TL;DR

This paper introduces a novel stochastic particle swarm optimization method to accurately estimate stellar effective temperatures and angular parameters from spectral data, validated with extensive catalog data.

Contribution

It presents an original technique using SPSO for stellar parameter estimation, improving accuracy and reliability over existing methods.

Findings

Estimated 177,860 stellar parameters with high accuracy.

Validated SPSO reliability and parameter determination.

Provided theoretical and practical data for stellar radiation analysis.

Abstract

Considering features of stellar spectral radiation and survey explorers, we established a computational model for stellar effective temperatures, detected angular parameters, and gray rates. Using known stellar flux data in some band, we estimated stellar effective temperatures and detected angular parameters using stochastic particle swarm optimization (SPSO). We first verified the reliability of SPSO, and then determined reasonable parameters that produced highly accurate estimates under certain gray deviation levels. Finally, we calculated 177,860 stellar effective temperatures and detected angular parameters using the Midcourse Space Experiment (MSX) catalog data. These derived stellar effective temperatures were accurate when we compared them to known values from literatures. This research made full use of catalog data and presented an original technique for studying stellar characteristics. It proposed a novel method for calculating stellar effective temperatures and detected angular parameters, and provided theoretical and practical data support for finding radiation flow information for any band.