Planetary atmosphere observation analysis

Abstract:

Misconceptions are understandings of concepts that are not in accordance with scientific concepts. Teachers have the potential to experience misconceptions and misconceptions that occur in teachers can result in students also experiencing misconceptions. Research that examines science misconceptions in elementary school teachers is still rare, so there is a need for research examining science misconceptions in elementary school teachers, especially in elementary school teachers who are certified educators. Therefore, this study aims at determining whether science misconceptions occur in elementary school teachers with teaching certificates or not and how much misconceptions are experienced and the misconceptions occurred. This study employs descriptive quantitative by involving 17 certified elementary school teachers who are classroom teachers teaching several subjects in elementary schools including science subjects. Data collection was done by conducting a four tier misconception diagnosis test and the result was analyzed using by referring to four tier test concept developed by various researchers. The findings indicated that primary school teachers possessing teaching certificates exhibited science misconceptions at a rate of 22%, placing them in the low category of scientific understanding at 66%. Despite the relatively low occurrence of misconceptions, it is advisable for certified primary school teachers to further enhance their grasp of the concepts they impart to prevent any potential hindrance to the learning process

Abstract:

The study of isotopic ratios in planetary atmospheres gives an insight into the formation history and evolution of these objects. The more we can constrain these ratios, the better we can understand the history and future of our solar system. To help in this endeavour, we used Infrared Space Observatory Short Wavelength Spectrometer (ISO/SWS) Jupiter observations in the 793–1500 cm (Formula presented.) region together with the Nonlinear Optimal Estimator for MultivariatE Spectral analySIS (NEMESIS) radiative transfer suite to retrieve the temperature–pressure profile and the chemical abundances for various chemical species. We also used the 1500–2499 cm (Formula presented.) region to determine the cloud and aerosol structure of the upper troposphere. We obtained a best-fit simulated spectrum with (Formula presented.) for the 793–1500 cm (Formula presented.) region and (Formula presented.) for the 1500–2499 cm (Formula presented.) region. From the retrieved methane abundances, we obtained, within a 1 (Formula presented.) uncertainty, a (Formula presented.) C/ (Formula presented.) C ratio of 84 ± 27 and a D/H ratio of (3.5 ± 0.6) × 10 (Formula presented.), and these ratios are consistent with other published results from the literature.