Browsing by Subject "Absorption Spectroscopy"

Accurate interpretation of high-resolution molecule spectral data is important for scientific research such as atmospheric chemistry. This master thesis describes the development of a user-friendly visualization tool to improve the accessibility and interpretation of spectral data in the HITRAN database. By using Tkinker, a Python interface for creating graphical user interfaces (GUI), the spectral simulation tool simplifies the data visualization and analysis of molecular spectra. Users can plot line intensities and absorption spectra of various molecular species and isotopes, and adjust parameters such as wavelength, wavenumber, frequency, temperature, pressure, length, and volume mixing ratio (VMR). The GUI allows for the selection of linear or logarithmic scales to improve the clarity and depth of the spectral analysis. The GUI not only provides a practical application for the visualization of complex spectral data, but also contributes to expanding the accessibility of the HITRAN database, making it more accessible to researchers, professionals, and students in related fields. In conclusion, the thesis describes the related background and theory of the tool, the technical implementation of the GUI and its validation, a case study on NH3 measurements, and the potential for future improvements.