Session
2024 Poster Session
Location
Salt Lake Community College Westpointe Campus, Salt Lake City, UT
Start Date
5-6-2024 9:55 AM
Description
Recent advancements in astrometry and photometry from the Gaia mission's Data Release 3 (DR3) offer new opportunities for astronomical research, particularly in studying interstellar reddening. Traditional approaches to correcting for reddening involve extensive calculations with data from multiple sources. This study aims to streamline the process by crafting relations internal to the DR3 dataset. Using a Gaia RR Lyrae variable color and their membership in globular clusters, we identified a correlation between the Gaia’s internal G - GRP magnitude and g-band absorption. Leveraging this correlation, we developed a relation to estimate reddening effects using solely Gaia data. Our predictions are consistent with existing studies on interstellar dust, supporting the reliability of our simplified method. This approach not only refines the process of correcting for reddening but also enhances the accessibility and efficiency of data analysis in research pertaining to light intensity from objects measured by Gaia.
Exploring Using DR3 RR Lyrae Photometry to Determine Extinction in the Native Gaia Bandpasses
Salt Lake Community College Westpointe Campus, Salt Lake City, UT
Recent advancements in astrometry and photometry from the Gaia mission's Data Release 3 (DR3) offer new opportunities for astronomical research, particularly in studying interstellar reddening. Traditional approaches to correcting for reddening involve extensive calculations with data from multiple sources. This study aims to streamline the process by crafting relations internal to the DR3 dataset. Using a Gaia RR Lyrae variable color and their membership in globular clusters, we identified a correlation between the Gaia’s internal G - GRP magnitude and g-band absorption. Leveraging this correlation, we developed a relation to estimate reddening effects using solely Gaia data. Our predictions are consistent with existing studies on interstellar dust, supporting the reliability of our simplified method. This approach not only refines the process of correcting for reddening but also enhances the accessibility and efficiency of data analysis in research pertaining to light intensity from objects measured by Gaia.