Modeling the Accretion Disk around the High-mass Protostar GGD 27-MM1

We are grateful to Nuria Calvet for making D'Alessio's code available to us and for very useful discussions. We would also like to deeply thank Guillem Anglada for his critical comments on this work that have undoubtedly improved it very substantially. We thank our anonymous referee for her or his very helpful comments and suggestions to improve our manuscript. We also thank Rosine Lallement for the support on STILISM. This paper makes use of the following ALMA data: ADS/JAO.ALMA#2015.1.00480.S. ALMA is a partnership of ESO (representing its member states), NSF (USA), and NINS (Japan), together with NRC (Canada) and NSC and ASIAA (Taiwan) and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO, and NAOJ. This work has 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. N.A.-L., M.O., J.M.G, G.B., R.E., and J.M.T. are supported by the Spanish grant AYA2017-84390-C2-R (AEI/FEDER, UE). R.E. is also supported by MDM-2014-0369 of ICCUB (Unidad de Excelencia "Maria de Maeztu"). M.O. acknowledges financial support from the State Agency for Research of the Spanish MCIU through the "Center of Excellence Severo Ochoa" award for the Instituto de Astrofisica de Andalucia (SEV-2017-0709). S.C. acknowledges support from DGAPA, UNAM, and CONACyT, Mexico. M.F.-L. acknowledges support from the LACEGAL project, which has received funding from the European Union's Horizon 2020 Research and Innovation Program under the Marie SklodowskaCurie grant agreement No. 734374. C.C.-G. and R.G.M. acknowledges support from UNAM-DGAPA PAPIIT project IN 108218 and IN 104319. J.K. is supported by MEXT KAKENHI grant No. 19K14755.