Predicted future fate of COSMOS galaxy protoclusters over 11 Gyr with constrained simulations

Ata, M.; Lee, Khee-Gan; Vecchia, Claudio Dalla; Kitaura, Francisco-Shu; Cucciati, O.; Lemaux, B. C.; Kashino, Daichi; Müller, Thomas

doi:10.1038/s41550-022-01693-0

Cited by 18 publications

(24 citation statements)

References 81 publications

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“…Forward-modeling techniques like the one used to construct Elucid, as well as BORG (Jasche & Wandelt 2013), TARDIS (Horowitz et al 2019), COSMIC BIRTH (Kitaura et al 2021), are gaining increasing popularity (e.g., Nguyen et al 2020;Tsaprazi et al 2021;Ata et al 2022), and they have immense potential for advancing our understanding of structure formation. In this study we have demonstrated that a pair of cluster samples exhibiting a probable AB signal can be constructed using Elucid.…”

Section: Summary and Prospectsmentioning

confidence: 99%

“…Furthermore, Yang et al (2018) have also used Elucid to develop the neighborhood abundance matching method. Finally, with rich spectroscopic data coming from surveys like Dark Energy Spectroscopic Instrument (DESI; DESI Collaboration et al 2016) and Subaru Prime Focus Spectrograph (PFS; Takada et al 2014;Greene et al 2022), one can expect the reconstruction to become much more reliable, particularly at higher redshifts (e.g., Ata et al 2022), which would facilitate studies of AB in the distant universe.…”

Section: Summary and Prospectsmentioning

confidence: 99%

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A pair of early- and late-forming galaxy cluster samples: A novel way of studying halo assembly bias assisted by a constrained simulation

Miyatake

Guo

Chiang

et al. 2022

A&A

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The halo assembly bias, a phenomenon referring to dependencies of the large-scale bias of a dark matter halo other than its mass, is a fundamental property of the standard cosmological model. First discovered in 2005 from the Millennium Run simulation, it has been proven very difficult to be detected observationally, with only a few convincing claims of detection so far. The main obstacle lies in finding an accurate proxy of the halo formation time. In this study, by utilizing a constrained simulation that can faithfully reproduce the observed structures larger than 2 Mpc in the local universe, for a sample of 634 massive clusters at z ≤ 0.12, we found their counterpart halos in the simulation and used the mass growth history of the matched halos to estimate the formation time of the observed clusters. This allowed us to construct a pair of early-and late-forming clusters, with a similar mass as measured via weak gravitational lensing, and large-scale biases differing at the ≈ 3σ level, suggestive of the signature of assembly bias, which is further corroborated by the properties of cluster galaxies, including the brightest cluster galaxy and the spatial distribution and number of member galaxies. Our study paves a way to further detect assembly bias based on cluster samples constructed purely on observed quantities.

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Section: Summary and Prospectsmentioning

confidence: 99%

Section: Summary and Prospectsmentioning

confidence: 99%

A pair of early- and late-forming galaxy cluster samples: A novel way of studying halo assembly bias assisted by a constrained simulation

Miyatake

Guo

Chiang

et al. 2022

A&A

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show abstract

“…Eventually, the structure is totally collapsed, and it evolves into a virialized cluster or group of galaxies in the local Universe, is Marie Curie Fellow. depleted of the cold gas, and has negligible star formation (e.g., Ata et al 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Later on, the core region of the cluster collapses, active galactic nucleus (AGN) activity takes place in cluster galaxies, and star formation declines -the so-called maturing phase (Shimakawa et al 2018). Eventually, the structure is totally collapsed, and it evolves into a virialized cluster or group of galaxies in the local Universe, is depleted of the cold gas, and has negligible star formation (e.g., Ata et al 2022).…”

Section: Introductionmentioning

confidence: 99%

A galaxy group candidate at z ≈ 3.7 in the COSMOS field

Sillassen

Jin

Magdis

et al. 2022

A&A

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We report a galaxy group candidate HPC1001 at z ≈ 3.7 in the COSMOS field. This structure was selected as a high galaxy overdensity at z > 3 in the COSMOS2020 catalog. It contains ten candidate members, of which eight are assembled in a 10″ × 10″ area with the highest sky density among known protoclusters and groups at z > 3. Four out of ten sources were also detected at 1.2 mm with Atacama Large Millimeter Array continuum observations. Photometric redshifts, measured by four independent methods, fall within a narrow range of 3.5 < z < 3.9 and with a weighted average of z = 3.65 ± 0.07. The integrated far-IR-to-radio spectral energy distribution yields a total UV and IR star formation rate SFR ≈ 900 M⊙ yr−1. We also estimated a halo mass of ∼1013 M⊙ for the structure, which at this redshift is consistent with potential cold gas inflow. Remarkably, the most massive member has a specific star formation rate and dust to stellar mass ratio of Mdust/M* that are both significantly lower than that of star-forming galaxies at this redshift, suggesting that HPC1001 could be a z ≈ 3.7 galaxy group in maturing phase. If confirmed, this would be the earliest structure in maturing phase to date, and an ideal laboratory to study the formation of the earliest quiescent galaxies as well as cold gas accretion in dense environments.

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“…In Ata et al (2021), highredshift data from multiple spectroscopic galaxy surveys were combined, along with a galaxy bias prescription, to reconstruct the 3D matter density field of the COSMOS field using constrained realizations. This resulted in a 3D map of the matter density within a portion of the COSMOS field, with an effective spatial resolution of ∼5 Mpc over a redshift range of 1.6 < z < 3.2 (see also Ata et al 2022). This data set can therefore uniquely be combined with the tomographic Lyα forest data from CLAMATO, which covers the same cosmic volume, in order to study the effects of heating on the intergalactic gas (see also Kooistra et al 2022) specifically in protocluster overdensities.…”

Section: Introductionmentioning

confidence: 99%

Constraining the Fluctuating Gunn–Peterson Approximation using Lyα Forest Tomography at z = 2

Kooistra

Lee

Horowitz

2022

ApJ

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The fluctuating Gunn–Peterson approximation (FGPA) is a commonly used method to generate mock Lyα forest absorption skewers at Cosmic Noon (z ≳ 2) from the matter density field of N-body simulations without running expensive hydrodynamical simulations. Motivated by recent developments in 3D intergalactic medium (IGM) tomography observations as well as matter density field reconstruction techniques applied to galaxy redshift samples at z ∼ 2, we examine the possibility of observationally testing FGPA by directly examining the relationship between Lyα transmission and the underlying matter density field. Specifically, we analyze the EAGLE, Illustris, IllustrisTNG, and Nyx cosmological hydrodynamic simulations that were run with different codes and sub-grid models. While the FGPA is an excellent description of the IGM in lower-density regions, the slope of the transmission–density distribution at higher densities is significantly affected by feedback processes causing the FGPA to break down in that regime. Even without added feedback, we find significant deviations caused by hydrodynamical effects arising from nonlinear structure growth. We then proceed to make comparisons using realistic mock data assuming the sightline sampling and spectral properties of the recent CLAMATO survey, and find that it would be challenging to discern between the FGPA and hydrodynamical models with current data sets. However, the improved sightline sampling from future extremely large telescopes or large volumes from multiplexed spectroscopic surveys such as Subaru PFS should allow for stringent tests of the FGPA, and make it possible to detect the effect of galaxy feedback on the IGM.

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Predicted future fate of COSMOS galaxy protoclusters over 11 Gyr with constrained simulations

Cited by 18 publications

References 81 publications

A pair of early- and late-forming galaxy cluster samples: A novel way of studying halo assembly bias assisted by a constrained simulation

A pair of early- and late-forming galaxy cluster samples: A novel way of studying halo assembly bias assisted by a constrained simulation

A galaxy group candidate at z ≈ 3.7 in the COSMOS field

Constraining the Fluctuating Gunn–Peterson Approximation using Lyα Forest Tomography at z = 2

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