Abstract
One-halo galactic conformity is the tendency for satellites in halos with quenched centrals to have lower star formation activity than those in halos with star-forming centrals at fixed halo mass. It is an important probe of the galaxy–halo connection and halo-wide quenching processes that may couple central and satellite evolution. However, its existence remains controversial, because conformity must be measured at fixed halo mass, while halo masses are difficult to estimate accurately. In this Letter, we measure one-halo conformity in the Sloan Digital Sky Survey (SDSS) using five stellar-mass-complete samples and three halo-mass estimates: a machine learning (ML) estimate whose star-forming and quenched stellar mass–halo mass relations agree with independent weak-lensing constraints, and two conventional abundance-matching (AM) estimates. We quantify conformity as the difference in median log ( sSFR ) between satellites of star-forming and quenched centrals, using both satellite-level and halo-level statistics. The two AM estimates produce strong positive conformity signals, consistent with previous AM-based measurements, but these signals are not reproduced with the ML halo masses. For the halo-level statistic, the representative AM-based signals are +0.38 ± 0.04 dex and +0.23 ± 0.04 dex for the luminosity-ranking and mass-ranking AM halo masses, detected relative to no conformity at about 10 σ and 6 σ , respectively. In contrast, the ML result is consistent with no conformity, +0.00 ± 0.03 dex; the satellite-level statistic gives a similar result. Thus, with halo-mass estimates consistent with weak-lensing constraints, we find no detectable one-halo conformity signal in the present SDSS sample, suggesting that the strong AM-based signal is largely driven by halo-mass estimation biases.
Funding Information
  • MOST ∣ National Natural Science Foundation of China (12125301)
  • MOST ∣ National Natural Science Foundation of China (12192220)
  • MOST ∣ National Natural Science Foundation of China (12192222)
  • UKRI ∣ Science and Technology Facilities Council (ST/X001075/1)
  • National Natural Science Foundation of China (12403019)
  • Natural Science Foundation of Jiangsu Province (BK20241188)
  • National Natural Science Foundation of China (12303010)

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