A Multiwavelength Investigation of Dust and Stellar Mass Distributions in Galaxies: Insights from High-resolution JWST Imaging

Liu, Zhaoran; Morishita, Takahiro; Kodama, Tadayuki

doi:10.3847/1538-4357/acef19

Cited by 4 publications

(1 citation statement)

References 131 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fluxes that include these models in their computation are tagged as "dustcorrected" fluxes. We point out that dust emission, including both the predominantly impacting far-infrared and submillimeter wavelengths as well as the mid-infrared contributions from PAH emission (Draine et al 2021;Liu et al 2023), is currently not included in FORECAST.…”

Section: Adding Dust Attenuationmentioning

confidence: 99%

FORECAST: A flexible software to forward model cosmological hydrodynamical simulations mimicking real observations

Fortuni¹,

Merlin²,

Fontana³

et al. 2023

A&A

View full text Add to dashboard Cite

Context. Comparing theoretical predictions to real data is crucial to properly formulate galaxy formation theories. However, this is usually done naively considering the direct output of simulations and quantities inferred from observations, which can lead to severe inconsistencies. Aims. We present FORECAST, a new flexible and adaptable software package that performs forward modeling of the output of any cosmological hydrodynamical simulations to create a wide range of realistic synthetic astronomical images, and thus providing a robust foundation for accurate comparison with observational data. With customizable options for filters, field-of-view size, and survey parameters, it allows users to tailor the synthetic images to their specific requirements. Methods. FORECAST constructs a light cone centered on the observer’s position exploiting the output snapshots of a simulation and computes the observed flux of each simulated stellar element, modeled as a single stellar population, in any chosen set of passband filters, including k correction, intergalactic medium absorption, and dust attenuation. These fluxes are then used to create an image on a grid of pixels, to which observational features such as background noise and PSF blurring can be added. This allows simulated galaxies to be obtained with realistic morphologies and star formation histories. Results. As a first application, we present a set of images obtained exploiting the ILLUSTRISTNG simulation, emulating the GOODS-South field as observed for the CANDELS survey. We produced images of ~200 sq. arcmin, in 13 bands (eight Hubble Space Telescope optical and near-infrared bands from ACS B435 to WFC3 H160, the VLT HAWK-I Ks band, and the four IRAC filters from Spitzer), with depths consistent with the real data. We analyzed the images with the same processing pipeline adopted for real data in CANDELS and ASTRODEEP publications, and we compared the results against both the input data used to create the images and the real data, generally finding good agreement with both, with some interesting exceptions which we discuss. As part of this work, we have released the FORECAST code and two datasets. The first is the CANDELS dataset analyzed in this study, and the second dataset emulates the JWST CEERS survey images in ten filters (eight NIRCam and two MIRI) in a field of view of 200 sq. arcmin between z = 0–20. Conclusions. FORECAST is a flexible tool: it creates images that can then be processed and analyzed using standard photometric algorithms, allowing for a consistent comparison among observations and models, and for a direct estimation of the biases introduced by such techniques.

show abstract

Section: Adding Dust Attenuationmentioning

confidence: 99%

FORECAST: A flexible software to forward model cosmological hydrodynamical simulations mimicking real observations

Fortuni¹,

Merlin²,

Fontana³

et al. 2023

A&A

View full text Add to dashboard Cite

show abstract

CEERS: MIRI deciphers the spatial distribution of dust-obscured star formation in galaxies at 0.1 < z < 2.5

Magnelli,

Gómez-Guijarro,

Elbaz

et al. 2023

A&A

View full text Add to dashboard Cite

Aims. We study the stellar (i.e., rest-optical) and dust-obscured star-forming (i.e., rest-mid-infrared) morphologies (i.e., sizes and Sérsic indices) of star-forming galaxies (SFGs) at 0.1 < z < 2.5. Methods. We combined Hubble Space Telescope (HST) images from the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS) with JWST images from the Cosmic Evolution Early Release Science (CEERS) survey to measure the stellar and dust-obscured star formation distributions of 69 SFGs. Rest-mid-infrared (rest-MIR) morphologies were determined using a Markov chain Monte Carlo (MCMC) approach applied to the sharpest Mid-InfraRed Instrument (MIRI) images (i.e., shortest wavelength) dominated by dust emission (Sνdust/Sνtotal > 75%), as inferred for each galaxy from our optical-to-far-infrared spectral energy distribution fits with CIGALE. Rest-MIR Sérsic indices were only measured for the brightest MIRI sources, that is, with a signal-to-noise (S/N) greater than 75 (35 galaxies). At a lower S/N, simulations do indeed show that simultaneous measurements of both the size and Sérsic index become less reliable. We extended our study to fainter sources (i.e., S/N > 10; 69 galaxies) by restricting our structural analysis to their rest-MIR sizes (ReMIR) and by fixing their Sérsic index to a value of one. Results. Our MIRI-selected sample corresponds to a mass-complete sample (> 80%) of SFGs down to stellar masses 109.5, 109.5, and 1010 M⊙ at z ∼ 0.3, 1, and 2, respectively. The rest-MIR Sérsic index of bright galaxies (S/N > 75) has a median value of 0.7−0.3+0.8 (the range corresponds to the 16th and 84th percentiles), which is in good agreement with their median rest-optical Sérsic indices. The Sérsic indices as well as the distribution of the axis ratio of these galaxies suggest that they have a disk-like morphology in the rest-MIR. Galaxies above the main sequence (MS) of star formation (i.e., starbursts) have rest-MIR sizes that are, on average, a factor ∼2 smaller than their rest-optical sizes (ReOpt.). The median rest-optical to rest-MIR size ratio of MS galaxies increases with their stellar mass, from 1.1−0.2+0.4 at ∼109.8 M⊙ to 1.6−0.3+1.0 at ∼1011 M⊙. This mass-dependent trend resembles the one found in the literature between the rest-optical and rest-near-infrared sizes of SFGs, suggesting that it is primarily due to radial color gradients affecting rest-optical sizes and that the sizes of the stellar and star-forming components of SFGs are, on average, consistent at all masses. There is, however, a small population of SFGs (∼15%) with a compact star-forming component embedded in a larger stellar structure, with ReOpt.c > 1.8 × ReMIR. This population could be the missing link between galaxies with an extended stellar component and those with a compact stellar component, the so-called blue nuggets.

show abstract

Measuring the gas reservoirs in 10⁸ < M_⋆ < 10¹¹ M_⊙ galaxies at 1 ≤ z ≤ 3

Mérida,

Gómez-Guijarro,

Pérez-González

et al. 2024

A&A

View full text Add to dashboard Cite

Context. Understanding the gas content in galaxies, along with its consumption and replenishment, is vital to our grasp of the evolution of the Universe. Numerous studies have addressed this notion, utilizing various observational tools and analytical methods. These include examining low-transition 12CO millimeter rotational lines and exploring the far-infrared and the (sub-)millimeter emission of galaxies. With the capabilities of present-day facilities, much of this research has been centered on relatively bright galaxies. Aims. This study is aimed at exploring the gas reservoirs of a more general type of galaxy population at 1.0 < z < 3.0 that is not restricted to bright (sub-)millimeter objects. We strive to obtain a measurement that will help to constrain our knowledge of the gas content at 1010 − 11 M⊙, with upper limits at ∼108 − 10 M⊙. Methods. We stacked ALMA 1.1 mm data to measure the gas content of a mass-complete sample of galaxies down to ∼108.6 M⊙ at z = 1 (∼109.2 M⊙ at z = 3) extracted from the HST/CANDELS sample in GOODS-S. The selected sample is composed of 5530 predominantly blue (⟨b − i⟩∼0.12 mag, ⟨i − H⟩∼0.81 mag), star-forming main sequence (MS) objects (ΔMS = log SFR−log SFRMS ∼ −0.03 dex). Results. At 1010 − 11 M⊙, our gas fractions (fgas = Mgas/(Mgas + M⋆)), ranging from 0.32 to 0.48 at these redshifts, are in good agreement with other studies based on mass-complete samples down to 1010 M⊙. These values are, however, lower than expected, according to other works more biased to individual detections. At 109 − 10 M⊙, we obtained 3σ upper limits for the fgas values ranging from 0.69 to 0.77. At 108 − 9 M⊙, these upper limits rise to ∼0.97. The upper limits at 109 − 10 M⊙ are on the level of the extrapolations of scaling relations based on mass-complete samples and below those based on individual detections. As such, these results suggest that the gas content of low-mass galaxies is, at most, equivalent to what has been extrapolated from the literature scaling relations based on mass-complete samples down to 1010 M⊙. Overall, the comparison of our results with the literature reflects how the inclusion of bluer, less obscured, and more MS-like objects progressively pushes the gas content down to lower values.

show abstract

A Multiwavelength Investigation of Dust and Stellar Mass Distributions in Galaxies: Insights from High-resolution JWST Imaging

Cited by 4 publications

References 131 publications

FORECAST: A flexible software to forward model cosmological hydrodynamical simulations mimicking real observations

FORECAST: A flexible software to forward model cosmological hydrodynamical simulations mimicking real observations

CEERS: MIRI deciphers the spatial distribution of dust-obscured star formation in galaxies at 0.1 < z < 2.5

Measuring the gas reservoirs in 10⁸ < M_⋆ < 10¹¹ M_⊙ galaxies at 1 ≤ z ≤ 3

Contact Info

Product

Resources

About

A Multiwavelength Investigation of Dust and Stellar Mass Distributions in Galaxies: Insights from High-resolution JWST Imaging

Cited by 4 publications

References 131 publications

FORECAST: A flexible software to forward model cosmological hydrodynamical simulations mimicking real observations

FORECAST: A flexible software to forward model cosmological hydrodynamical simulations mimicking real observations

CEERS: MIRI deciphers the spatial distribution of dust-obscured star formation in galaxies at 0.1 < z < 2.5

Measuring the gas reservoirs in 108 < M⋆ < 1011 M⊙ galaxies at 1 ≤ z ≤ 3

Contact Info

Product

Resources

About

Measuring the gas reservoirs in 10⁸ < M_⋆ < 10¹¹ M_⊙ galaxies at 1 ≤ z ≤ 3