Print Email Facebook Twitter Spectral observations at the Canary Island Long-Baseline Observatory (CILBO): calibration and datasets Title Spectral observations at the Canary Island Long-Baseline Observatory (CILBO): calibration and datasets Author Zender, Joe (European Space Agency (ESA)) Koschny, D (European Space Agency (ESA); Technische Universität München) Rudawska, Regina (European Space Agency (ESA)) Vicinanza, S. (Student TU Delft) Loehle, Stefan (University of Stuttgart) Eberhart, Martin (University of Stuttgart) Meindl, Arne (MPI for Plasma Physics) Smit, Hans (European Space Agency (ESA)) Stam, D.M. (TU Delft Astrodynamics & Space Missions) Date 2023 Abstract The Canary Island Long-Baseline Observatory (CILBO) is a double-station meteor camera setup located on the Canary Islands operated by ESA's Meteor Research Group since 2010. Observations of meteors are obtained in the visual wavelength band by intensified video cameras from both stations, supplemented by an intensified video camera mounted with a spectral grating at one of the locations. The cameras observe during cloudless and precipitation-free nights, and data are transferred to a main computer located at ESA/ESTEC once a day. The image frames that contain spectral information are calibrated, corrected, and finally processed into line intensity profiles. An ablation simulation, based on Bayesian statistics using a Markov chain Monte Carlo method, allows determining a parameter space, including the ablation temperatures, chemical elements, and their corresponding line intensities, to fit against the line intensity profiles of the observed meteor spectra. The algorithm is presented in this paper and one example is discussed. Several hundred spectra have been processed and made available through the Guest Archive Facility of the Planetary Science Archive of ESA. The data format and metadata are explained. To reference this document use: http://resolver.tudelft.nl/uuid:50f0c8f8-0c72-457b-b6d3-8b7f4cbd01dd DOI https://doi.org/10.5194/gi-12-91-2023 ISSN 2193-0856 Source Geoscientific Instrumentation, Methods and Data Systems, 12 (1), 91-109 Part of collection Institutional Repository Document type journal article Rights © 2023 Joe Zender, D Koschny, Regina Rudawska, S. Vicinanza, Stefan Loehle, Martin Eberhart, Arne Meindl, Hans Smit, D.M. Stam, More Authors Files PDF gi_12_91_2023.pdf 4.21 MB Close viewer /islandora/object/uuid:50f0c8f8-0c72-457b-b6d3-8b7f4cbd01dd/datastream/OBJ/view