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W. Pearson

Publications and source records attributed to W. Pearson.

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Impact of stochastic star-formation histories and dust on selecting quiescent galaxies with JWST photometry

While the James Webb Space Telescope (JWST) now allows identifying quiescent galaxies (QGs) out to early epochs, the photometric selection of quiescent galaxy candidates (QGCs) and the derivation of key physical quantities are highly sensitive to the assumed star-formation histories (SFHs). We aim to quantify how the inclusion of JWST/MIRI data and different SFH models impacts the selection and characterisation of QGCs. We test the robustness of the physical properties inferred from the spectral energy distribution (SED) fitting, such as M*, age, star formation rate (SFR), and AV, and study how they impact the quiescence criteria of the galaxies across cosmic time. We perform SED fitting for ~13000 galaxies at z<6 from the CEERS/MIRI fields with up to 20 optical-mid infrared (MIR) broadband coverage. We implement three SFH prescriptions: flexible delayed, NonParametric, and extended Regulator. For each model, we compare results obtained with and without MIRI photometry and dust emission models. We evaluate the impact of these configurations on the number of candidate QGCs, selected based on rest UVJ colours, sSFR and main-sequence offset, and on their key physical properties such as M*, AV, and stellar ages. The number of QGCs selected varies significantly with the choice of SFH from 171 to 224 out of 13000 galaxies, depending on the model. This number increases to 222-327 when MIRI data are used (up to ~45% more QGCs). This enhancement is driven by improved constraints on dust attenuation and M*. We find a strong correlation between AV and M*, with massive galaxies (M*~10^11 M\odot) being 1.5-4.2 times more attenuated in magnitude than low-mass systems (M*~10^9 M\odot), depending on SFH. Regardless of the SFH assumption, ~13% of QGCs exhibit significant attenuation (AV > 0.5) in support of recent JWST studies challenging the notion that quiescent galaxies are uniformly dust-free.

astro-ph.GA

Knocking on giants' doors: I. The evolution of the dust-to-stellar mass ratio in distant dusty galaxies

The dust-to-stellar mass ratio ($M_{\rm dust}$/$M_{\rm \star}$) is a crucial yet poorly constrained quantity to understand the production mechanisms of dust, metals and stars in galaxy evolution. In this work we explore and interpret the nature of $M_{\rm dust}$/$M_{\rm \star}$ in 300 massive ($M_{\star}>10^{10}M_{\odot}$), dusty star-forming galaxies detected with ALMA up to $z\approx5$. We find that $M_{\rm dust}$/$M_{\rm \star}$ evolves with redshift, stellar mass, specific SFR and integrated dust size, differently for main sequence and starburst galaxies. In both galaxy populations $M_{\rm dust}$/$M_{\rm \star}$ rises until $z\sim2$ followed by a roughly flat trend towards higher redshifts. We show that the inverse relation between $M_{\rm dust}$/$M_{\rm \star}$ and $M_{\star}$ holds up to $z\approx5$ and can be interpreted as an evolutionary transition from early to late starburst phases. We demonstrate that $M_{\rm dust}$/$M_{\rm \star}$ in starbursts mirrors the increase in molecular gas fraction with redshift, and is enhanced in objects with the most compact dusty star-formation. The state-of-the-art cosmological simulation SIMBA broadly matches the evolution of $M_{\rm dust}$/$M_{\rm \star}$ in main sequence galaxies, but underestimates it in starbursts. The latter is found to be linked to lower gas-phase metallicities and longer dust growth timescales relative to data. Our data are well reproduced by analytical model that includes recipes for rapid metal enrichment, strongly suggesting that high $M_{\rm dust}$/$M_{\rm \star}$ is due to fast grain growth in metal enriched ISM. Our work highlights multifold benefits of using $M_{\rm dust}$/$M_{\rm \star}$ as a diagnostic tool for: (1) separating main sequence and starburst galaxies until $z\sim5$; (2) probing the evolutionary phases of dusty galaxies, and (3) refining the treatment of dust life cycle in simulations.

astro-ph.GA