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Astrophysics Source Code Library

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Searching for codes credited to 'Kruijssen, J. M. D.'

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Found 2 codes.

[ascl:1601.003] SCOUSE: Semi-automated multi-COmponent Universal Spectral-line fitting Engine
Henshaw, J. D.; Longmore, S. N.; Kruijssen, J. M. D.; Davies, B.; Bally, J.; Barnes, A.; Battersby, C.; Burton, M.; Cunningham, M. R.; Dale, J. E.; Ginsburg, A.; Immer, K.; Jones, P. A.; Kendrew, S.; Mills, E. A. C.; Molinari, S.; Moore, T. J. T.; Ott, J.; Pillai, T.; Rathborne, J.; Schilke, P.; Schmiedeke, A.; Testi, L.; Walker, D.; Walsh, A.; Zhang, Q.
The Semi-automated multi-COmponent Universal Spectral-line fitting Engine (SCOUSE) is a spectral line fitting algorithm that fits Gaussian files to spectral line emission. It identifies the spatial area over which to fit the data and generates a grid of spectral averaging areas (SAAs). The spatially averaged spectra are fitted according to user-provided tolerance levels, and the best fit is selected using the Akaike Information Criterion, which weights the chisq of a best-fitting solution according to the number of free-parameters. A more detailed inspection of the spectra can be performed to improve the fit through an iterative process, after which SCOUSE integrates the new solutions into the solution file.
[ascl:2105.020] PAP: PHANGS-ALMA pipeline
Leroy, Adam K.; Hughes, Annie; Liu, Daizhong; Pety, Jerome; Rosolowsky, Erik; Saito, Toshiki; Schinnerer, Eva; Schruba, Andreas; Usero, Antonio; Faesi, Christopher M.; Herrera, Cinthya N.; Chevance, Melanie; Hygate, Alexander P. S.; Kepley, Amanda A.; Koch, Eric W.; Querejeta, Miguel; Sliwa, Kazimierz; Will, David; Wilson, Christine D.; Anand, Gagandeep S. Barnes, Ashley; Belfiore, Francesco; Beslic, Ivana; Bigiel, Frank; Blanc, Guillermo A.; Bolatto, Alberto D.; Boquien, Mederic; Cao, Yixian; Chandar, Rupali; Chastenet, Jeremy; Chiang, I-Da; Congiu, Enrico; Dale, Daniel A.; Deger, Sinan; den Brok, Jakob S.; Eibensteiner, Cosima; Emsellem, Eric; Garcıa-Rodrıguez, Axel; Glover, Simon C. O.; Grasha, Kathryn; Groves, Brent; Henshaw, Jonathan D.; Jimenez Donaire, Maria J.; Kim, Jenny J.; Klessen, Ralf S.; Kreckel, Kathryn; Kruijssen, J. M. Diederik; Larson, Kirsten L.; Lee, Janice C.; Mayker, Ness; McElroy, Rebecca; Meidt, Sharon E.; Mok, Angus; Pan, Hsi-An; Puschnig, Johannes; Razza, Alessandro; Sanchez-Blazquez, Patricia; Sandstrom, Karin M.; Santoro, Francesco; Sardone, Amy; Scheuermann, Fabian; Sun, Jiayi; Thilker, David A.; Turner, Jordan A.; Ubeda, Leonardo; Utomo, Dyas; Watkins, Elizabeth J.; Williams, Thomas G.
The PHANGS-ALMA pipeline process data from radio interferometer observations. It uses CASA (ascl:1107.013), AstroPy (ascl:1304.002), and other affiliated packages to process data from calibrated visibilities to science-ready spectral cubes and maps. The PHANGS-ALMA pipeline offers a flexible alternative to the scriptForImaging script distributed by ALMA. The pipeline runs in two separate software environments: CASA 5.6 or 5.7 (staging, imaging and post-processing) and Python 3.6 or later (derived products) with modern versions of several packages.