Herschel PEP: The star-formation rates of 1.5<z<2.5 massive galaxies
R. Nordon, D. Lutz, L. Shao, B. Magnelli, S. Berta, B. Altieri, P., Andreani, H. Aussel, A. Bongiovanni, A. Cava, J. Cepa, A. Cimatti, E. Daddi,, H. Dominguez, D. Elbaz, N.M. Forster Schreiber, R. Genzel, A. Grazian, G., Magdis, R. Maiolino, A.M. Perez Garcia, A. Poglitsch

TL;DR
This study uses Herschel FIR observations to accurately measure star formation rates of massive galaxies at redshifts 1.5 to 2.5, revealing significant overestimations in previous 24 micron-based SFRs and providing insights into galaxy evolution.
Contribution
First direct FIR-based SFR measurements for individual galaxies at these redshifts, clarifying discrepancies with prior UV and 24 micron estimates and informing galaxy evolution models.
Findings
24 micron SFRs overestimate true SFRs by a factor of 4-7.5.
UV SFRs are closer to FIR-based SFRs but still show some excess.
FIR measurements resolve individual galaxies at these redshifts for the first time.
Abstract
The star formation rate (SFR) is a key parameter in the study of galaxy evolution. The accuracy of SFR measurements at z~2 has been questioned following a disagreement between observations and theoretical models. The latter predict SFRs at this redshift that are typically a factor 4 or more lower than the measurements. We present star-formation rates based on calorimetric measurements of the far-infrared (FIR) luminosities for massive 1.5<z<2.5, normal star-forming galaxies (SFGs), which do not depend on extinction corrections and/or extrapolations of spectral energy distributions. The measurements are based on observations in GOODS-N with the Photodetector Array Camera & Spectrometer (PACS) onboard Herschel, as part of the PACS Evolutionary Probe (PEP) project, that resolve for the first time individual SFGs at these redshifts at FIR wavelengths. We compare FIR-based SFRs to the more…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
