@article{8747469,
  abstract     = {{We describe the processing of the PHANGS-ALMA survey and present the PHANGS-ALMA pipeline, a public software package that processes calibrated interferometric and total power data into science-ready data products. PHANGS-ALMA is a large, high-resolution survey of CO(2-1) emission from nearby galaxies. The observations combine ALMA's main 12 m array, the 7 m array, and total power observations, and use mosaics of dozens to hundreds of individual pointings. We describe the processing of the u - v data, imaging and deconvolution, linear mosaicking, combining interferometer and total power data, noise estimation, masking, data product creation, and quality assurance. Our pipeline has a general design and can also be applied to Very Large Array and ALMA observations of other spectral lines and continuum emission. We highlight our recipe for deconvolution of complex spectral line observations, which combines multiscale clean, single-scale clean, and automatic mask generation in a way that appears robust and effective. We also emphasize our two-track approach to masking and data product creation. We construct one set of "broadly masked" data products, which have high completeness but significant contamination by noise, and another set of "strictly masked" data products, which have high confidence but exclude faint, low signal-to-noise emission. Our quality assurance tests, supported by simulations, demonstrate that 12 m+7 m deconvolved data recover a total flux that is significantly closer to the total power flux than the 7 m deconvolved data alone. In the appendices, we measure the stability of the ALMA total power calibration in PHANGS-ALMA and test the performance of popular short-spacing correction algorithms.}},
  articleno    = {{19}},
  author       = {{Leroy, Adam K. and Hughes, Annie and Liu, Daizhong and Pety, Jérôme and Rosolowsky, Erik and Saito, Toshiki and Schinnerer, Eva and Schruba, Andreas and Usero, Antonio and Faesi, Christopher M. and Herrera, Cinthya N. and Chevance, Mélanie and Hygate, Alexander P.~S. and Kepley, Amanda A. and Koch, Eric W. and Querejeta, Miguel and Sliwa, Kazimierz and Will, David and Wilson, Christine D. and Anand, Gagandeep S. and Barnes, Ashley and Belfiore, Francesco and Bešlić, Ivana and Bigiel, Frank and Blanc, Guillermo A. and Bolatto, Alberto D. and Boquien, Mèdèric and Cao, Yixian and Chandar, Rupali and Chastenet, Jérémy and Chiang, I. -Da and Congiu, Enrico and Dale, Daniel A. and Deger, Sinan and den Brok, Jakob S. and Eibensteiner, Cosima and Emsellem, Eric and García-Rodríguez, Axel and Glover, Simon C.~O. and Grasha, Kathryn and Groves, Brent and Henshaw, Jonathan D. and Jiménez Donaire, María J. and Kim, Jaeyeon and Klessen, Ralf S. and Kreckel, Kathryn and Kruijssen, J.~M. Diederik and Larson, Kirsten L. and Lee, Janice C. and Mayker, Ness and McElroy, Rebecca and van der Wel, Sharon Meidt and Mok, Angus and Pan, Hsi-An and Puschnig, Johannes and Razza, Alessandro and Sánchez-Bl’azquez, Patricia and Sandstrom, Karin M. and Santoro, Francesco and Sardone, Amy and Scheuermann, Fabian and Sun, Jiayi and Thilker, David A. and Turner, Jordan A. and Ubeda, Leonardo and Utomo, Dyas and Watkins, Elizabeth J. and Williams, Thomas G.}},
  issn         = {{0067-0049}},
  journal      = {{ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES}},
  keywords     = {{Radio interferometry,Interstellar medium,CO line emission,Millimeter astronomy,Astronomy data reduction,Galaxies,Star formation,1346,847,262,1061,1861,573,1569,Astrophysics - Instrumentation and Methods for Astrophysics,Astrophysics - Astrophysics of Galaxies,MOLECULAR GAS PROPERTIES,KINEMATICS}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{54}},
  title        = {{PHANGS-ALMA data processing and pipeline}},
  url          = {{http://doi.org/10.3847/1538-4365/abec80}},
  volume       = {{255}},
  year         = {{2021}},
}

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