Massive and Multiphase Gas Outflow in a Quenching Galaxy at z=2.445
Authors: Sirio Belli, Minjung Park, Rebecca L. Davies, J. Trevor Mendel, Benjamin D. Johnson, Charlie Conroy, Chloë Benton, Letizia Bugiani, Razieh Emami, Joel Leja, Yijia Li, Gabriel Maheson, Elijah P. Mathews, Rohan P. Naidu, Erica J. Nelson, Sandro Tacchella, Bryan A. Terrazas, Rainer Weinberger
Abstract: Large-scale outflows driven by supermassive black holes are thought to play a fundamental role in suppressing star formation in massive galaxies. However, direct observational evidence for this hypothesis is still lacking, particularly in the young universe where star formation quenching is remarkably rapid, thus requiring effective removal of gas as opposed to slow gas heating. While outflows of ionized gas are commonly detected in massive distant galaxies, the amount of ejected mass is too small to be able to suppress star formation. Gas ejection is expected to be more efficient in the neutral and molecular phases, but at high redshift these have only been observed in starbursts and quasars. Using deep spectroscopy from JWST, here we show the presence of an outflow of neutral and ionized gas in a massive galaxy observed during the rapid quenching of its star formation, at a redshift of z=2.445. The outflowing mass is mostly in the neutral phase, and the mass outflow rate is larger than the residual star formation rate, indicating that the gas ejection is likely to have a strong impact on the evolution of the galaxy. We do not detect X-ray or radio activity; however the presence of a supermassive black hole is suggested by the properties of the ionized gas emission lines. We thus conclude that supermassive black holes are able to rapidly suppress star formation in massive galaxies by efficiently ejecting neutral gas.
Explore the paper tree
Click on the tree nodes to be redirected to a given paper and access their summaries and virtual assistant
Look for similar papers (in beta version)
By clicking on the button above, our algorithm will scan all papers in our database to find the closest based on the contents of the full papers and not just on metadata. Please note that it only works for papers that we have generated summaries for and you can rerun it from time to time to get a more accurate result while our database grows.