Speagle, Joshua S.Zucker, CatherineBonaca, AnaCargile, Phillip A.Johnson, Benjamin D.Beane, AngusConroy, CharlieFinkbeiner, Douglas P.Green, Gregory M.Kamdar, Harshil M.Naidu, RohanRix, Hans WalterSchlafly, Edward F.Dotter, AaronEadie, GwendolynEisenstein, Daniel J.Goodman, Alyssa A.Han, Jiwon JesseSaydjari, Andrew K.Ting, Yuan SenZelko, Ioana A.2025-05-232025-05-230004-637Xhttp://www.scopus.com/inward/record.url?scp=85199505452&partnerID=8YFLogxKhttps://hdl.handle.net/1885/733752646We present Augustus, a catalog of distance, extinction, and stellar parameter estimates for 170 million stars from 14 mag < r < 20 mag and with ∣b∣ > 10° drawing on a combination of optical to near-infrared photometry from Pan-STARRS, 2MASS, UKIDSS, and unWISE along with parallax measurements from Gaia DR2 and 3D dust extinction maps. After applying quality cuts, we find 125 million objects have “high-quality” posteriors with statistical distance uncertainties of ≲10% for objects with well-constrained stellar types. This is a substantial improvement over the distance estimates derived from Gaia parallaxes alone and in line with the recent results from Anders et al. We find the fits are able to reproduce the dereddened Gaia color-magnitude diagram accurately, which serves as a useful consistency check of our results. We show that we are able to detect large, kinematically coherent substructures in our data clearly relative to the input priors, including the Monoceros Ring and the Sagittarius Stream, attesting to the quality of the catalog. Our results are publicly available at doi:10.7910/DVN/WYMSXV. An accompanying interactive visualization can be found at http://allsky.s3-website.us-east-2.amazonaws.com.Data. The Pan-STARRS1 Surveys and the public science archive have been made possible through contributions by the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, the Queen's University Belfast, the Center for Astrophysics, Harvard & Smithsonian, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, the Space Telescope Science Institute, the National Aeronautics and Space Administration under grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation grant No. AST-1238877, the University of Maryland, Eotvos Lorand University (ELTE), the Los Alamos National Laboratory, and the Gordon and Betty Moore Foundation. Funding. J.S.S. and C.Z. were partially supported by the Harvard Data Science Initiative. H.M.K. acknowledges support from the DOE CSGF under grant No. DE-FG02-97ER25308. A.D. received support from the National Aeronautics and Space Administration (NASA) under Contract No. NNG16PJ26C issued through the WFIRST Science Investigation Teams Program. C.Z. and D.P.F. acknowledge support from NSF grant AST-1614941, \u201CExploring the Galaxy: 3-Dimensional Structure and Stellar Streams.\u201D A.K.S. gratefully acknowledges support by a National Science Foundation Graduate Research Fellowship (DGE-1745303). Y.S.T. acknowledges financial support from the Australian Research Council through DECRA Fellowship DE220101520. Computation. The bulk of the computation in this paper was done on the Cannon cluster, which is supported by the Research Computing Group in the FAS Division of Science at Harvard University.enPublisher Copyright: © 2024. The Author(s). Published by the American Astronomical Society.Mapping the Milky Way in 5D with 170 Million Stars2024-08-0110.3847/1538-4357/ad2b6285199505452