2023
DOI: 10.3847/1538-4365/acb04c
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Sample and Statistical Analysis of the Near-Earth Object Wide-field Infrared Survey Explorer Variability of the 6.7 GHz Methanol Maser Sources

Abstract: We present a statistical study of infrared variability using the Near-Earth Object Wide-field Infrared Survey Explorer (NEOWISE) database for a sample consisting of 1085 high-mass young stellar objects (YSOs) related to 6.7 GHz methanol masers. A total of 383 maser sources were identified as NEOWISE variables and classified in two variability behavior classifications: 204 secular (linear, curved, and periodic) and 179 stochastic (burst, drop, and irregular) variables. Statistical analysis of the properties of … Show more

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Cited by 3 publications
(8 citation statements)
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“…Appendix Table A3 provides the fitting results and additional information relative to these sources. The extracted temperatures range from 430 to 1100 K with an average value of 840 K. Given such high temperatures, we suggest that these sources are probably premain-sequence (PMS) stars, albeit our current study cannot completely rule out the possibility that some of them are evolved stars (e.g., AGB stars; Chen et al 2013) (Mei et al 2023), and high-mass YSOs associated with 6.7 GHz methanol masers (Song et al 2023). In most cases, the variability behaviors of these YSOs is considered to be caused by their intrinsic nature in the PMS phase.…”
Section: Periodic Variable Sources Surrounding G24mentioning
confidence: 76%
“…Appendix Table A3 provides the fitting results and additional information relative to these sources. The extracted temperatures range from 430 to 1100 K with an average value of 840 K. Given such high temperatures, we suggest that these sources are probably premain-sequence (PMS) stars, albeit our current study cannot completely rule out the possibility that some of them are evolved stars (e.g., AGB stars; Chen et al 2013) (Mei et al 2023), and high-mass YSOs associated with 6.7 GHz methanol masers (Song et al 2023). In most cases, the variability behaviors of these YSOs is considered to be caused by their intrinsic nature in the PMS phase.…”
Section: Periodic Variable Sources Surrounding G24mentioning
confidence: 76%
“…With reference to Park et al (2021), Mei et al (2023), andSong et al (2023), the light curves of the identified variables are classified into two categories: secular and stochastic. The secular category includes linear, sin, and sin+linear, while the stochastic category includes burst, drop, and irregular.…”
Section: Variability Classificationmentioning
confidence: 99%
“…The secular category includes linear, sin, and sin+linear, while the stochastic category includes burst, drop, and irregular. In a method similar to Mei et al (2023) and Song et al (2023), we used Python package scipy.optimize.curve_fit (Virtanen et al 2020) to fit the light curve, and prioritize simple models to classify the variable sources as linear, sin, sin+linear, and stochastic in order based on goodness (R 2 ) of fit. The detailed fitted parameters of all types of variables are listed in Tables B1 and B2 in Appendix B, and Table B3 gives parameters of nonvariables.…”
Section: Variability Classificationmentioning
confidence: 99%
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