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WorksPhysics and Astronomy

How Quickly Did the Giants Form? Constraining the Formation Timescales of Massive Quiescent Galaxies at Cosmic Noon Using Chemical Evolution Modelling

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CC BY 4.0
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Published
AI contributions
  • Gemini · multiple versions
  • Claude by Anthropic
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Abstract · v1

Massive quiescent galaxies (MQGs; M⋆∼1011 M⊙M_\star \sim 10^{11} \, \mathrm{M_\odot}) at cosmic noon (z∼2z \sim 2) host αα-enhanced stellar populations ([Mg/Fe]∼0.4−0.5\mathrm{[Mg/Fe]} \sim 0.4 - 0.5) at near-solar [Fe/H], implying rapid formation histories that spectral energy distribution (SED) fitting alone constrains poorly. To determine the physical conditions and formation timescales that generate these abundances, we employ a one-zone chemical evolution model with nucleosynthetic yields calibrated against resolved stars in the Sculptor dwarf spheroidal. Comparing our model to a compilation of observed abundances, we find MQGs are consistent with rapid formation timescales of ΔtSF∼0.1−0.4 GyrΔt_\mathrm{SF} \sim 0.1 - 0.4 \, \mathrm{Gyr}. The progenitors must sustain high star-formation efficiencies (approximately the molecular gas depletion time; τ⋆∼0.05 Gyrτ_\star \sim 0.05 \, \mathrm{Gyr}) and retain most of their metal-enriched ejecta (η∼0η\sim 0), consistent with high-redshift dusty star-forming galaxies (DSFGs). However, our model favours moderately active progenitors with typical star-formation rates (SFRs) of 200−400 M⊙ yr−1200-400 \, \mathrm{M_\odot \, yr^{-1}}, matching recently identified `NIRCam-dark' galaxies more closely than the broader DSFG population. Sustained starbursts (SFR≳1000 M⊙ yr−1\mathrm{SFR} \gtrsim 1000 \, \mathrm{M_\odot \, yr}^{-1}) are disfavoured, since they would form most stellar mass before significant SN Ia enrichment and underproduce the observed [Fe/H]. The same framework also reproduces the central abundances of local early-type galaxies over longer timescales (ΔtSF∼0.6−1 GyrΔt_\mathrm{SF} \sim 0.6 - 1 \, \mathrm{Gyr}). Chemical abundances can therefore provide powerful constraints on the formation histories of MQGs, and incorporating them into SED-fitting routines will ensure inferred histories remain consistent with the observed chemistry.

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