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Aging Popular Exoplanet Hosts
Get PDFThis paper presents an analysis of stellar ages and properties for a sample of stars hosting exoplanets in their habitable zones, using the BASE-9 software. BASE-9 employs Bayesian statistics to model stellar parameters such as age, mass, metallicity, and distance by fitting observed photometric data to theoretical isochrones. The primary goal of this study is to determine more accurate ages for these host stars, which is critical for understanding the long-term habitability of their exoplanets.
Our sample consists of 5 stars with well-characterized exoplanets, and we utilize a combination of observational data, including photometry and spectroscopy, to constrain the models. The stars chosen were Mu Arae, Upsilon Andromedae, HD11964, HD4732, and HD73534. The results show that the ages of these stars to be 7.02, 3.60, 8.23, 3.31, and 4.06 billion years respectively. The implications of these findings for exoplanet habitability and stellar evolution are discussed in detail.
By improving the precision of stellar age estimates, this research contributes to a deeper understanding of the evolutionary history of stars with potentially habitable exoplanets. Our results also underscore the importance of using advanced modeling techniques like BASE-9 for stellar characterization in exoplanet studies
Remote Sensing in Iberá Wetlands, Argentina: Uncrewed Aircraft Systems and Service Learning Supporting Environmental Resilience
No full textMapping wetland regions is challenging. Uncrewed aircraft systems (UAS) have inherent abilities to sense rapidly and efficiently remotely difficult to access locations. Wetland regions around the world are under pressure due to increasing human presence and climate change. Iberá Wetlands in Argentina provides an example of a region that rebounded from detritus effects of human activity. Although the Iberá Wetlands suffered great environmental degradation causing large animals to be driven from the area, visitors today see a biologically diverse region bearing the fruit of restoration. It serves as a prime location for demonstrating the ability of UAS to efficiently collect data to monitor the environment. A team traveled to the Iberá Wetlands to collaborate with local stakeholders with a common interest in the health of the regional environment. The team flew UAS equipped with RGB and multispectral cameras with local stakeholders. The UAS could generate vegetative indices in real time for viewing as well as record video and still images for post hoc analysis. The team worked with concerned parties from the local community and agencies from the nongovernmental sector to gather and show how UAS could readily collect data facilitating the understanding of the Iberá Wetlands and its current state of being
Derek Schatz, Participant
No full textDerek has been working in cybersecurity for over 25 years, with much of that time in the aviation/aerospace sector at Boeing and in his currently role as head of information security for Virgin Galactic. At Boeing he was the technical lead for ground and airborne security for inflight Wi-Fi provider Connexion by Boeing, and later worked in the Commercial Airplanes division in Cabin and Network Systems.
He represented Boeing in a number of international aviation cybersecurity standards committees, including as a founding member of both Eurocae Working Group 72 and RTCA Special Committee 216. As part of that work, he performed the industry’s first cybersecurity safety analysis using SC-216’s DO-326A process for the Swift Broadband Safety specification in ARINC 781. At Virgin Galactic, he is responsible for the overall information security program for the leading provider of commercial private space travel. He lives in Southern California, where he enjoys hiking and gourmet cooking with his wife.https://commons.erau.edu/avcysecworkshop-bios-2024/1044/thumbnail.jp
Meet Your Northeast FL RM
No full textMeet your Northeast Florida Regional Manager, Shawna Hendrix. Counties - Baker, Columbia, Duval, Madison, Nassau, Suwannee
The Future of Education: How Artificial Intelligence (AI) is Revolutionizing the Classroom
No full textArtificial intelligence (AI) is rapidly changing the world, and education is no exception. AI-powered tools and technologies are being used to personalize learning, automate tasks, and provide students with more engaging and interactive experiences
The Future of Education: How Artificial Intelligence (AI) is Revolutionizing the Classroom
No full textArtificial intelligence (AI) is rapidly changing the world, and education is no exception. AI-powered tools and technologies are being used to personalize learning, automate tasks, and provide students with more engaging and interactive experiences