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arXiv · 1906.04746

The GIST Pipeline: A Multi-Purpose Tool for the Analysis and Visualisation of (Integral-field) Spectroscopic Data

A. Bittner·J. Falcón-Barroso·B. Nedelchev·A. Dorta·D. A. Gadotti·M. Sarzi·A. Molaeinezhad·E. Iodice·D. Rosado-Belza·A. de Lorenzo-Cáceres·F. Fragkoudi·P. M. Galán-de Anta·B. Husemann·J. Méndez-Abreu·J. Neumann·F. Pinna·M. Querejeta·P. Sánchez-Blázquez·M. K. Seidel
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Abstract

We present a convenient, all-in-one framework for the scientific analysis of fully reduced, (integral-field) spectroscopic data. The GIST pipeline (Galaxy IFU Spectroscopy Tool) is entirely written in Python3 and conducts all steps from the preparation of input data, over the scientific analysis to the production of publication-quality plots. In its basic setup, it extracts stellar kinematics, performs an emission-line analysis and derives stellar population properties from full spectral fitting as well as via the measurement of absorption line-strength indices by exploiting the well-known pPXF and GandALF routines, where the latter has now been implemented in Python. The pipeline is not specific to any instrument or analysis technique and provides easy means of modification and further development, as of its modular code architecture. An elaborate, Python-native parallelisation is implemented and tested on various machines. The software further features a dedicated visualization routine with a sophisticated graphical user interface. This allows an easy, fully-interactive plotting of all measurements, spectra, fits, and residuals, as well as star formation histories and the weight distribution of the models. The pipeline has successfully been applied to both low and high-redshift data from MUSE, PPAK (CALIFA), and SINFONI, as well as to simulated data for HARMONI@ELT and WEAVE and is currently being used by the TIMER, Fornax3D, and PHANGS collaborations. We demonstrate its capabilities by applying it to MUSE TIMER observations of NGC 1433.

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A. Bittner, J. Falcón-Barroso, B. Nedelchev, A. Dorta, D. A. Gadotti, M. Sarzi, A. Molaeinezhad, E. Iodice, D. Rosado-Belza, A. de Lorenzo-Cáceres, F. Fragkoudi, P. M. Galán-de Anta, B. Husemann, J. Méndez-Abreu, J. Neumann, F. Pinna, M. Querejeta, P. Sánchez-Blázquez, M. K. Seidel. 2019-06-11. The GIST Pipeline: A Multi-Purpose Tool for the Analysis and Visualisation of (Integral-field) Spectroscopic Data. https://doi.org/10.1051/0004-6361/201935829

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