The intrinsic SFRF and sSFRF of galaxies: comparing SDSS observation with IllustrisTNG simulation
Ping Zhao, Haojie Xu, Antonios Katsianis, Xiaohu Yang

TL;DR
This paper develops a method to correct for Eddington bias in SDSS data, revealing the intrinsic star formation rate functions and sSFRF bi-modality, and compares these with IllustrisTNG simulations highlighting model limitations.
Contribution
It introduces a novel bias correction method and provides the first detailed comparison of intrinsic SFRF and sSFRF with state-of-the-art simulations.
Findings
Intrinsic SFRF agrees with UV-based measurements but is lower than IR/radio tracers.
The sSFRF from SDSS is bi-modal, with peaks at star-forming and quenched populations.
TNG simulations match observations better than previous models but lack the observed sSFRF bi-modality.
Abstract
The star formation rate function (SFRF) and specific star formation rate function (sSFRF) from the observation are impacted by the Eddington bias, due to the uncertainties on the estimated SFR. We develop a novel method to correct the Eddington bias and obtained the intrinsic SFRF and sSFRF from the Sloan Digital Sky Survey Data Release 7. The intrinsic SFRF is in good agreement with measurements from previous data in the literature that relied on UV SFRs but its high star-forming end is slightly lower than those IR and radio tracers. We demonstrate that the intrinsic sSFRF from SDSS has a bi-modal form with the one peak found at representing the star-forming objects while the other peak is found at representing the quenched population. Furthermore, we compare our observations with the predictions from the…
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