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

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Abstract

Considering features of stellar spectral radiation and sky surveys, we established a computational model for stellar effective temperatures, detected angular parameters and gray rates. Using known stellar flux data in some bands, 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 data from the Midcourse Space Experiment (MSX) catalog. These derived stellar effective temperatures were accurate when we compared them to known values from literatures. This research makes full use of catalog data and presents an original technique for studying stellar characteristics. It proposes a novel method for calculating stellar effective temperatures and detecting angular parameters, and provides theoretical and practical data for finding information about radiation in any band.

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Zhang, C. X., Yuan, Y., Zhang, H. W., Shuai, Y., & Tan, H. P. (2016). Estimating stellar effective temperatures and detected angular parameters using stochastic particle swarm optimization. Research in Astronomy and Astrophysics, 16(9). https://doi.org/10.1088/1674-4527/16/9/140

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