2019
DOI: 10.1051/0004-6361/201936144
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Spectral Line Identification and Modelling (SLIM) in the MAdrid Data CUBe Analysis (MADCUBA) package

Abstract: Context. The increase in bandwidth and sensitivity of state-of-the-art radio observatories is providing a wealth of molecular data from nearby star-forming regions up to high-z galaxies. Analysing large data sets of spectral cubes requires efficient and user-friendly tools optimized for astronomers with a wide range of backgrounds. Aims. In this paper we present the detailed formalism at the core of the Spectral Line Identification and Modelling (SLIM) within the MAdrid Data CUBe Analysis (MADCUBA) package and… Show more

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Cited by 117 publications
(150 citation statements)
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“…The identification of the molecular lines was performed using the new spectroscopic PGIM data and the Spectral Line Identification and Modelling (SLIM) tool within the MAD-CUBA package 5 (Martín et al 2019). The SLIM tool generates synthetic spectra of molecular species under the assumption of local thermodynamic equilibrium (LTE) conditions.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The identification of the molecular lines was performed using the new spectroscopic PGIM data and the Spectral Line Identification and Modelling (SLIM) tool within the MAD-CUBA package 5 (Martín et al 2019). The SLIM tool generates synthetic spectra of molecular species under the assumption of local thermodynamic equilibrium (LTE) conditions.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…The SLIM tool generates synthetic spectra of molecular species under the assumption of local thermodynamic equilibrium (LTE) conditions. We used the MADCUBA-AUTOFIT tool that compares the observed spectra with LTE synthetic spectra, and provides the best non-linear least-squares fit using the Levenberg-Marquardt algorithm (see details in Martín et al 2019). The free parameters of the fit are: the molecular column density (N), the excitation temperature (T ex ), the systemic velocity (v LSR ), and the full width at half maximum (FWHM) of the line Gaussian profiles.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…The extremely rich gas-phase chemical composition of this region is due to erosion of the ice mantles of interstellar dust grains by large-scale lowvelocity (<20 km•s −1 ) shocks (26) induced by a collision between massive molecular clouds (27). For the typical (intermediate) (28). We predicted the synthetic spectrum of EtA under the assumption of local thermodynamic equilibrium (LTE) conditions.…”
Section: Significancementioning
confidence: 99%
“…The data were calibrated and imaged using standard ALMA calibration scripts of the Common Astronomy Software Applications package (CASA) 1 . Further analysis was done with MADCUBA 2 software package (Martín et al 2019).…”
Section: Alma Observationsmentioning
confidence: 99%