Thomas Kallinger, Jack T. Warfield, Daniel Huber, Caitlin D. Jones, Sanjib Sharma, Marc Hon, Jennifer A. Johnson, L. Bugnet, Guy R. Davies, Joel C. Zinn, Dennis Stello, William J. Chaplin, Ralph Schönrich, Marc H. Pinsonneault, Benoit Mosser, Andrea Miglio, Yvonne Elsworth, Rafael A. García, Rodrigo Luger, Victor Silva Aguirre, Savita Mathur, Joel C. Zinn, Dennis Stello, Yvonne Elsworth, Rafael A. García, Thomas Kallinger, Savita Mathur, Benoît Mosser, Lisa Bugnet, Caitlin Jones, Marc Hon, Sanjib Sharma, Ralph Schönrich, Jack T. Warfield, Rodrigo Luger, Marc H. Pinsonneault, Jennifer A. Johnson, Daniel Huber, Victor Silva Aguirre, William J. Chaplin, Guy R. Davies, Andrea Miglio, Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA (UMR_8109)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)
Studies of Galactic structure and evolution have benefitted enormously from Gaia kinematic information, though additional, intrinsic stellar parameters like age are required to best constrain Galactic models. Asteroseismology is the most precise method of providing such information for field star populations $\textit{en masse}$, but existing samples for the most part have been limited to a few narrow fields of view by the CoRoT and Kepler missions. In an effort to provide well-characterized stellar parameters across a wide range in Galactic position, we present the second data release of red giant asteroseismic parameters for the K2 Galactic Archaeology Program (GAP). We provide $\nu_{\mathrm{max}}$ and $\Delta \nu$ based on six independent pipeline analyses; first-ascent red giant branch (RGB) and red clump (RC) evolutionary state classifications from machine learning; and ready-to-use radius & mass coefficients, $\kappa_R$ & $\kappa_M$, which, when appropriately multiplied by a solar-scaled effective temperature factor, yield physical stellar radii and masses. In total, we report 4395 radius and mass coefficients, with typical uncertainties of $3.3\% \mathrm{\ (stat.)} \pm 1\% \mathrm{\ (syst.)}$ for $\kappa_R$ and $7.7\% \mathrm{\ (stat.)} \pm 2\% \mathrm{\ (syst.)}$ for $\kappa_M$ among RGB stars, and $5.0\% \mathrm{\ (stat.)} \pm 1\% \mathrm{\ (syst.)}$ for $\kappa_R$ and $10.5\% \mathrm{\ (stat.)} \pm 2\% \mathrm{\ (syst.)}$ for $\kappa_M$ among RC stars. We verify that the sample is nearly complete -- except for a dearth of stars with $\nu_{\mathrm{max}} \lesssim 10-20\mu$Hz -- by comparing to Galactic models and visual inspection. Our asteroseismic radii agree with radii derived from Gaia Data Release 2 parallaxes to within $2.2 \pm 0.3\%$ for RGB stars and $2.0 \pm 0.6\%$ for RC stars., Comment: Published in ApJS