tokens: ACKNOWLEDGEMENTS We would like to thank Laurent Pueyo for his encouragement, and Suzanne Aigrain, Vinesh Maguire-Rajpaul, Jane Kaczmarek, Rocio Kiman, Daniella Bardalez Gagliuffi, David Hogg, Jim Davenport, and Brett Morris for their valuable comments. We are especially grateful for the thorough and insightful comments of the anonymous reviewer. This work was performed in part under contract with the Jet Propulsion Laboratory (JPL) funded by NASA through the Sagan Fellowship Program executed by the NASA Exoplanet Science Institute. This project was developed in part at the 2018 NYC Gaia Sprint, hosted by the Center for Computational Astrophysics of the Flatiron Institute in New York City. We have made use of data from the European Space Agency (ESA) mission Gaia ( https://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France; NASA’s Astrophysics Data System; and the ALMA Sensitivity Calculator in the ALMA Observing Tool by Mark Nicol. The Observing Tool is the software tool that will be used for the preparation of ALMA Observing Projects. The Tool is built by the Proposal and Observing Preparation System team within the ALMA Computing IPT. This research has made use of the following softwares: ipython (Pérez Granger 2007 ), scipy (Jones et al. 2001 ), matplotlib (Hunter 2007 ), astropy (Astropy Collaboration 2013 ), and numpy (Van Der Walt, Colbert Varoquaux 2011 ).
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