Three-Dimensional Optimal Spectral Extraction (TDOSE) from integral field spectroscopy

• Published in: Astronomy and astrophysics (Berlin) Vol. 628; p. A91
• Main Authors: Schmidt, K. B., Wisotzki, L., Urrutia, T., Kerutt, J., Krajnović, D., Herenz, E. C., Saust, R., Contini, T., Epinat, B., Inami, H., Maseda, M. V.
• Format: Journal Article
• Language: English
• Published: Heidelberg EDP Sciences 01.08.2019
• Subjects: Apertures; Astrophysics; Contamination; Cubes; Demand analysis; Emitters; Fluctuations; Flux; Integral field spectroscopy; Light distribution; Metallicity; methods: data analysis; methods: observational; Morphology; Online analytical processing; Optimization; Physical properties; Sciences of the Universe; Spectra; Spectral emittance; Spectrum analysis; Star & galaxy formation; Star formation rate; techniques: imaging spectroscopy; Three dimensional models; Two dimensional models

The amount of integral field spectrograph (IFS) data has grown considerably over the last few decades. The demand for tools to analyze such data is therefore bigger now than ever. We present a flexible Python tool for Three-Dimensional Optimal Spectral Extraction (TDOSE) from IFS data cubes. TDOSE w...