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arxiv: 2606.19463 · v1 · pith:4ZWOX2BEnew · submitted 2026-06-17 · 🌌 astro-ph.GA

On the later evolution of observationally selected protocluster candidates at z\,{gtrsim}\,5

Pith reviewed 2026-06-26 20:02 UTC · model grok-4.3

classification 🌌 astro-ph.GA
keywords protoclustershigh-redshift galaxiesgalaxy clusterscosmological simulationsstructure formationmerger historiesnumber density
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The pith

Observationally selected protocluster candidates at z ≳ 5 include both genuine cluster progenitors and many interlopers that will not reach cluster mass by z=0.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper uses simulations to follow what happens to protocluster candidates identified at redshift 5 and above in the same way observers select them. It compares the number density of these candidates to two other ways of picking systems in the simulations: by mass and by abundance matching. The real observed density sits between those two, showing that current searches capture some systems that will grow into clusters and many that will not. The candidates turn out to be strongly clustered, with a neighbor within 5 comoving megaparsecs raising the chance of later merger above 50 percent. This means forecasts based only on a candidate's mass and local overdensity at high redshift carry large scatter.

Core claim

Using the FLAMINGO simulations, observationally selected protocluster candidates at z ≳ 5 have a number density that falls between the mass-selected and abundance-matched samples, indicating that searches recover both genuine cluster progenitors and significant interlopers that will not reach cluster masses by z=0. These candidates are heavily clustered, with 2-10 neighbors within 10 cMpc, and a neighbor at 5 cMpc (10 cMpc) implies ≳50% (≳30%) probability of later merging into a larger system, mostly at z ≲ 2. Each candidate experiences 2-6 later major mergers, mostly with systems too small to be identified as massive at the selection epoch, while observations exhibit weaker clustering than

What carries the argument

Comparison of three selection methods (mass-selected, abundance-matched, and observational) within the FLAMINGO simulations to track later evolution and merger histories from z ≳ 5 to z=0.

If this is right

  • A candidate with a neighbor at 5 cMpc faces ≳50% chance of merging into a larger system, mostly at z ≲ 2.
  • Merger counts converge beyond ~10 cMpc, marking a characteristic scale in structure formation.
  • Relying only on high-z mass and galaxy overdensity produces severe scatter and systematic error in predicting final fate.
  • Robust identification requires summing total galaxy mass down to faint limits inside a 10 cMpc radius.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Clustering strength around candidates could serve as an additional diagnostic to separate true progenitors from interlopers.
  • Upcoming wide and deep surveys can test the prediction by measuring total enclosed mass rather than just bright galaxy counts.
  • The mismatch between observed and simulated clustering may point to either selection biases in real data or missing processes in the models.

Load-bearing premise

The simulations correctly capture the clustering, merger rates, and mass growth of these systems from high redshift down to the present.

What would settle it

Direct measurement of how many observed z ≳ 5 protocluster candidates actually end up as z=0 clusters of the expected mass, compared against the simulated fractions.

Figures

Figures reproduced from arXiv: 2606.19463 by Seunghwan Lim.

Figure 1
Figure 1. Figure 1: Abundance (left) and total mass (right) of protocluster candidates. The solid lines show the number density (left) and total mass M200 (right) of our three samples from the FLAMINGO simulation (L1 m8) as a function of redshift: Sample 1 (mass-based; blue), Sample 2 (abundance-matched; orange), and Sample 3 (true main progenitor; green). The shaded bands represent the 2σ cosmic variance from 1,000 sub-volum… view at source ↗
Figure 2
Figure 2. Figure 2: Average number of neighboring protocluster candi￾dates, ⟨N⟩, within a 3D comoving radius r3D, shown for our three FLAMINGO samples—mass-based: Sample 1 (solid), abundance￾matched: Sample 2 (dashed), true progenitor: Sample 3 (dotted)— and the observational sample of Helton et al. (2024) (dash-dotted). The shaded bands indicate 2σ cosmic variance for Sample 1, ob￾tained from 1,000 sub-volumes of (100 cMpc)3… view at source ↗
Figure 3
Figure 3. Figure 3: Cumulative fraction of protocluster candidates (main panel; for our fiducial sample, Sample 1, from the FLAMINGO simulation L1 m8) as a function of the distance to their nearest neighbour, rNN, at z = 5 and z = 10. The thick lines show the mean for the whole simulation box, with the shaded bands representing 2σ cosmic variance from 1,000 sub-volumes of (100 cMpc)3 ; thin lines show individual sub-volume nu… view at source ↗
Figure 4
Figure 4. Figure 4: Merger probability and survival fraction as a function of nearest neighbour distance rNN at z = 5 and z = 10, for our fiducial mass-based protocluster samples from the FLAMINGO simulation (L1 m8). The main panel shows the probability that a protocluster candidate merges into a more massive system by z = 0 (Pmerge; solid). The dashed lines (right axis) show the average redshift of the first such merger, zme… view at source ↗
Figure 5
Figure 5. Figure 5: Cumulative number of later mergers into more massive systems as a function of the 3D separation at the selection redshift z = 5, z = 7, and z = 10, for our fiducial mass-based protoclus￾ter sample from the FLAMINGO simulation (L1 m8). The dashed lines count only mergers with systems that are already above the protocluster mass threshold Mh,PC(z) at the selection epoch, while the solid lines include all mer… view at source ↗
read the original abstract

Recent observations have revealed numerous protocluster candidates at $z\,{\gtrsim}\,5$, yet whether these systems will eventually evolve into today's galaxy clusters remains an open question. Using the FLAMINGO simulations -- resolving protocluster cores up to $z\,{\simeq}\,10$ -- we track the later evolution of observationally selected protocluster candidates, comparing three selection methods against observational samples. The observed number density falls between our mass-selected and abundance-matched samples, implying that current searches pick up both genuine cluster progenitors and significant interlopers that will not reach cluster masses by $z\,{=}\,0$. We find that candidates at $z\gtrsim5$ are heavily clustered, hosting 2$-$10 neighbors within 10\,cMpc. Consequently, a candidate with a neighbor at 5\,cMpc (10\,cMpc) faces a $\gtrsim50\%$ ($\gtrsim30\%$) probability of later merging into a larger system, mostly at $z\,{\lesssim}\,2$. The merger count converges beyond ${\sim}10$\,cMpc, pointing to a fundamental scale in structure formation. Observations show markedly weaker clustering than our simulations predict, suggesting clustering offers a currently overlooked diagnostic. Each candidate undergoes roughly 2$-$6 later major mergers, mostly with systems too small to be recognized as massive at the selection epoch. Hence, relying solely on high-$z$ mass and galaxy overdensity to forecast a candidate's fate is prone to severe scatter and systematic error. A robust identification of true cluster progenitors demands a total mass sum of galaxies down to the faintest levels within a 10\,cMpc radius. Upcoming surveys with both depth and area will be key to reliably linking high-$z$ protocluster candidates to their ultimate destiny.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 0 minor

Summary. The paper uses the FLAMINGO simulations to follow the z=0 descendants of protocluster candidates at z≳5. Three selection methods are compared: mass-selected, abundance-matched, and observationally selected. The observed number density is reported to lie between the mass-selected and abundance-matched samples, implying a mixture of genuine progenitors and interlopers. The simulations show strong clustering (2–10 neighbors within 10 cMpc), yielding merger probabilities of ≳50% (≳30%) for a neighbor at 5 cMpc (10 cMpc), mostly at z≲2. Observations exhibit weaker clustering than the simulations; each candidate experiences 2–6 later major mergers, mostly with systems too small to be identified at selection. The paper concludes that mass and overdensity alone are insufficient and that a total mass sum within 10 cMpc is required for robust identification.

Significance. If the simulation-based merger statistics and selection comparisons hold, the work supplies quantitative guidance on the reliability of current high-z protocluster searches and identifies clustering amplitude as a potentially useful diagnostic. The large-volume simulation approach that tracks individual systems across cosmic time is a clear methodological strength.

major comments (2)
  1. [Abstract] Abstract: The inference that the observed number density lying between the mass-selected and abundance-matched samples implies a substantial interloper fraction rests on the assumption that FLAMINGO correctly predicts merger probabilities from the measured clustering (e.g., neighbor at 5 cMpc → ≳50% merger probability). The same abstract states that observations show markedly weaker clustering than the simulations, creating an internal tension: if the simulated clustering (and therefore the derived merger dynamics) does not match reality, the positioning of the observed density does not reliably constrain the interloper fraction or later evolution.
  2. [Abstract] Abstract: No numerical values, error bars, or tables are provided for the number densities of the three samples or for the observed sample, nor are the precise definitions of the mass-selected and abundance-matched selections given. Without these, the claim that the observed density 'falls between' the two simulated samples cannot be evaluated for statistical significance or sensitivity to parameter choices.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive comments, which help clarify the presentation of our results. We address each major comment below.

read point-by-point responses
  1. Referee: [Abstract] Abstract: The inference that the observed number density lying between the mass-selected and abundance-matched samples implies a substantial interloper fraction rests on the assumption that FLAMINGO correctly predicts merger probabilities from the measured clustering (e.g., neighbor at 5 cMpc → ≳50% merger probability). The same abstract states that observations show markedly weaker clustering than the simulations, creating an internal tension: if the simulated clustering (and therefore the derived merger dynamics) does not match reality, the positioning of the observed density does not reliably constrain the interloper fraction or later evolution.

    Authors: The number density comparison and resulting implication for interlopers is based on the high-redshift selection statistics in the simulations versus observations, not directly on the merger probabilities. The merger probabilities are derived separately from the clustering properties within the simulations. We do note the discrepancy in clustering strength between simulations and observations, which we interpret as suggesting that clustering amplitude could serve as an additional diagnostic. However, we agree that this discrepancy introduces some uncertainty when applying the simulated merger rates to observed systems. We will revise the abstract to explicitly separate these points and add a caveat regarding the applicability of the merger statistics to observations given the clustering difference. revision: partial

  2. Referee: [Abstract] Abstract: No numerical values, error bars, or tables are provided for the number densities of the three samples or for the observed sample, nor are the precise definitions of the mass-selected and abundance-matched selections given. Without these, the claim that the observed density 'falls between' the two simulated samples cannot be evaluated for statistical significance or sensitivity to parameter choices.

    Authors: We agree that including specific numerical values and clearer definitions in the abstract would improve the accessibility of the key result. The full paper provides the definitions of the mass-selected and abundance-matched samples, along with the number densities in the relevant sections. We will update the abstract to include approximate number density values (with uncertainties where applicable) and brief definitions of the selection methods. revision: yes

Circularity Check

0 steps flagged

No circularity: external simulation outputs compared to independent observations without reduction to fitted inputs or self-citations.

full rationale

The paper defines mass-selected and abundance-matched samples within the FLAMINGO simulations and tracks their z=0 descendants, then positions the externally measured observed number density between those two simulated distributions to infer a mix of progenitors and interlopers. Clustering statistics, neighbor counts, and merger probabilities are computed directly from the simulation particle data without any fitting or tuning to the target observational number density or clustering measurements. The noted mismatch between simulated and observed clustering is reported as an output rather than an input. No self-citations, ansatzes, or uniqueness theorems are invoked to justify the central claims, and the derivation remains self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim depends on the fidelity of the FLAMINGO simulation suite for tracking mergers and clustering from z~10 to z=0, plus the assumption that the observational selection can be faithfully reproduced in the simulation volume.

axioms (1)
  • domain assumption FLAMINGO simulations correctly capture the physics and statistics of protocluster evolution and mergers at z ≳ 5.
    Invoked throughout the tracking of later evolution and the comparison to observed number densities.

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discussion (0)

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Reference graph

Works this paper leans on

300 extracted references · 294 canonical work pages · 129 internal anchors

  1. [1]

    Too many protoclusters? Reconciling the overabundance of cluster progenitors within the first billion years of the Universe

    Too many protoclusters? Reconciling the overabundance of cluster progenitors within the first billion years of the Universe. arXiv e-prints , keywords =. doi:10.48550/arXiv.2605.28930 , archivePrefix =. 2605.28930 , primaryClass =

  2. [2]

    Environmental effects on Galaxy formation and protocluster Galaxy candidates at 4.5 < z < 10 from JWST observations

    EPOCHS paper ─ X. Environmental effects on Galaxy formation and protocluster Galaxy candidates at 4.5 < z < 10 from JWST observations. , keywords =. doi:10.1093/mnras/staf543 , archivePrefix =. 2405.17359 , primaryClass =

  3. [3]

    A Quasar-anchored Protocluster at z = 6.6 in the ASPIRE Survey. I. Properties of [O III] Emitters in a 10 Mpc Overdensity Structure. , keywords =. doi:10.3847/1538-4357/adb1bd , archivePrefix =. 2410.03826 , primaryClass =

  4. [4]

    JADES: A Prominent Galaxy Overdensity Candidate within the First 500 Myr

    JADES: A Prominent Galaxy Overdensity Candidate within the First 500 Myr. arXiv e-prints , keywords =. doi:10.48550/arXiv.2601.15960 , archivePrefix =. 2601.15960 , primaryClass =

  5. [5]

    , keywords =

    Photometrically selected protocluster candidates at in the JWST COSMOS-Web field. , keywords =. doi:10.1017/pasa.2025.10096 , archivePrefix =. 2510.20172 , primaryClass =

  6. [6]

    , keywords =

    Quantifying the Impact of Incompleteness on Identifying and Interpreting Galaxy Protocluster Populations with the TNG-Cluster Simulation. , keywords =. doi:10.3847/1538-4357/adf644 , archivePrefix =. 2504.03836 , primaryClass =

  7. [7]

    What are Protoclusters? -- Defining High Redshift Galaxy Clusters and Protoclusters

    What are protoclusters? - Defining high-redshift galaxy clusters and protoclusters. , keywords =. doi:10.1093/mnras/stv1449 , archivePrefix =. 1506.08835 , primaryClass =

  8. [8]

    Galaxy evolution in protoclusters

    Galaxy evolution in protoclusters. , keywords =. doi:10.1093/mnras/stx2454 , archivePrefix =. 1709.07009 , primaryClass =

  9. [9]

    All the Massive Galaxy Overdensities during Reionization: JWST Rest-Frame Optical Selection Reveals Young, Chemically Evolved Galaxies Embedded in Dense, Neutral Gas at z > 5

    All the Massive Galaxy Overdensities during Reionization: JWST Rest-Frame Optical Selection Reveals Young, Chemically Evolved Galaxies Embedded in Dense, Neutral Gas at z > 5. arXiv e-prints , keywords =. doi:10.48550/arXiv.2602.09091 , archivePrefix =. 2602.09091 , primaryClass =

  10. [10]

    The FLAMINGO simulations data release

    The FLAMINGO simulations data release. arXiv e-prints , keywords =. doi:10.48550/arXiv.2604.24324 , archivePrefix =. 2604.24324 , primaryClass =

  11. [11]

    HBT+: an improved code for finding subhalos and building merger trees in cosmological simulations

    HBT+: an improved code for finding subhaloes and building merger trees in cosmological simulations. , keywords =. doi:10.1093/mnras/stx2792 , archivePrefix =. 1708.03646 , primaryClass =

  12. [12]

    , keywords =

    Assessing subhalo finders in cosmological hydrodynamical simulations. , keywords =. doi:10.1093/mnras/staf1478 , archivePrefix =. 2502.06932 , primaryClass =

  13. [13]

    Galaxy Formation and Evolution

  14. [14]

    , year = 2005, month = apr, volume =

    The effects of reionization on Ly galaxy surveys. , keywords =. doi:10.1111/j.1365-2966.2005.09785.x , archivePrefix =. astro-ph/0507266 , primaryClass =

  15. [15]

    Identification of the brightest Ly\alpha\ emitters at z=6.6: implications for the evolution of the luminosity function in the re-ionisation era

    Identification of the brightest Ly emitters at z = 6.6: implications for the evolution of the luminosity function in the reionization era. , keywords =. doi:10.1093/mnras/stv947 , archivePrefix =. 1502.07355 , primaryClass =

  16. [16]

    Very Compact Dense Galaxy Overdensity with {\delta} ~ 130 Identified at z ~ 8: Implications for Early Protocluster and Cluster-Core Formation

    A Very Compact Dense Galaxy Overdensity with ≃ 130 Identified at z 8: Implications for Early Protocluster and Cluster Core Formation. , keywords =. doi:10.3847/0004-637X/822/1/5 , archivePrefix =. 1509.01751 , primaryClass =

  17. [17]

    The realm of the galaxy protoclusters

    The realm of the galaxy protoclusters. A review. , keywords =. doi:10.1007/s00159-016-0100-3 , archivePrefix =. 1610.05201 , primaryClass =

  18. [18]

    A massive, distant proto-cluster at z=2.47 caught in a phase of rapid formation?

    A Massive, Distant Proto-cluster at z = 2.47 Caught in a Phase of Rapid Formation?. , keywords =. doi:10.1088/2041-8205/808/2/L33 , archivePrefix =. 1506.01715 , primaryClass =

  19. [19]

    ALMA Deep Field in SSA22: A concentration of dusty starbursts in a z=3.09 protocluster core

    ALMA Deep Field in SSA22: A Concentration of Dusty Starbursts in a z = 3.09 Protocluster Core. , keywords =. doi:10.1088/2041-8205/815/1/L8 , archivePrefix =. 1510.08861 , primaryClass =

  20. [20]

    Galaxy Protoclusters as Drivers of Cosmic Star-Formation History in the First 2 Gyr

    Galaxy Protoclusters as Drivers of Cosmic Star Formation History in the First 2 Gyr. , keywords =. doi:10.3847/2041-8213/aa7e7b , archivePrefix =. 1705.01634 , primaryClass =

  21. [21]

    , keywords =

    A Detailed Study of Massive Galaxies in a Protocluster at z = 3.13. , keywords =. doi:10.3847/1538-4357/aba626 , archivePrefix =. 2007.07055 , primaryClass =

  22. [22]

    , keywords =

    Is there enough star formation in simulated protoclusters?. , keywords =. doi:10.1093/mnras/staa3693 , archivePrefix =. 2010.02259 , primaryClass =

  23. [23]

    Ancient Light from Young Cosmic Cities: Physical and Observational Signatures of Galaxy Proto-Clusters

    Ancient Light from Young Cosmic Cities: Physical and Observational Signatures of Galaxy Proto-clusters. , keywords =. doi:10.1088/0004-637X/779/2/127 , archivePrefix =. 1310.2938 , primaryClass =

  24. [24]

    Universe , keywords =

    From Clusters to Proto-Clusters: The Infrared Perspective on Environmental Galaxy Evolution. Universe , keywords =. doi:10.3390/universe8110554 , archivePrefix =. 2209.02781 , primaryClass =

  25. [25]

    Discovery of a protocluster at z~6

    Discovery of a Protocluster at z -0.5ex 6. , keywords =. doi:10.1088/0004-637X/750/2/137 , archivePrefix =. 1203.1326 , primaryClass =

  26. [26]

    A First Site of Galaxy Cluster Formation: Complete Spectroscopy of a Protocluster at $z=6.01$

    A First Site of Galaxy Cluster Formation: Complete Spectroscopy of a Protocluster at z = 6.01. , keywords =. doi:10.1088/0004-637X/792/1/15 , archivePrefix =. 1407.1851 , primaryClass =

  27. [27]

    A Systematic Survey of Protoclusters at $z\sim3\mathrm{-}6$ in the CFHTLS Deep Fields

    A Systematic Survey of Protoclusters at z -0.5ex 3-6 in the CFHTLS Deep Fields. , keywords =. doi:10.3847/0004-637X/826/2/114 , archivePrefix =. 1605.01439 , primaryClass =

  28. [28]

    GOLDRUSH. III. A systematic search for protoclusters at z 4 based on the >100 deg ^ 2 area. , keywords =. doi:10.1093/pasj/psx102 , archivePrefix =. 1708.09421 , primaryClass =

  29. [29]

    , keywords =

    Spectroscopic Confirmation of a Coma Cluster Progenitor at z 2.2. , keywords =. doi:10.3847/1538-4357/ab75c3 , archivePrefix =. 2002.06207 , primaryClass =

  30. [30]

    , keywords =

    The JWST Advanced Deep Extragalactic Survey: Discovery of an Extreme Galaxy Overdensity at z = 5.4 with JWST/NIRCam in GOODS-S. , keywords =. doi:10.3847/1538-4357/ad0da7 , archivePrefix =. 2302.10217 , primaryClass =

  31. [31]

    , keywords =

    Identification of High-redshift Galaxy Overdensities in GOODS-N and GOODS-S. , keywords =. doi:10.3847/1538-4357/ad6867 , archivePrefix =. 2311.04270 , primaryClass =

  32. [32]

    The Discovery of Primeval Large-Scale Structures with Forming Clusters at Redshift 6

    The Discovery of Primeval Large-Scale Structures with Forming Clusters at Redshift 6. , keywords =. doi:10.1086/428499 , archivePrefix =. astro-ph/0412648 , primaryClass =

  33. [33]

    , keywords =

    The discovery of the first luminous z -0.5ex 6 quasar in the UKIDSS Large Area Survey. , keywords =. doi:10.1111/j.1745-3933.2007.00290.x , archivePrefix =. astro-ph/0612162 , primaryClass =

  34. [34]

    Discovery of a Very Large Structure at Z=3.78

    Discovery of a Very Large Structure at z = 3.78. , keywords =. doi:10.1088/0004-637X/796/2/126 , archivePrefix =. 1405.2620 , primaryClass =

  35. [35]

    Spectroscopic Confirmation of a Protocluster at z=3.786

    Spectroscopic Confirmation of a Protocluster at z 3.786. , keywords =. doi:10.3847/0004-637X/823/1/11 , archivePrefix =. 1604.08627 , primaryClass =

  36. [36]

    , keywords =

    Physical Properties of a Coma-analog Protocluster at z = 6.5. , keywords =. doi:10.3847/1538-4357/ab1a34 , adsurl =

  37. [37]

    GTC Observations of an Overdense Region of LAEs at z=6.5

    Gran Telescopio Canarias observations of an overdense region of Lyman emitters at z = 6.5. , keywords =. doi:10.1093/mnras/stx782 , archivePrefix =. 1703.10043 , primaryClass =

  38. [38]

    A Giant Protocluster of Galaxies at Redshift 5.7

    A giant protocluster of galaxies at redshift 5.7. Nature Astronomy , keywords =. doi:10.1038/s41550-018-0587-9 , archivePrefix =. 1810.05765 , primaryClass =

  39. [39]

    SILVERRUSH. VIII. Spectroscopic Identifications of Early Large-scale Structures with Protoclusters over 200 Mpc at z 6-7: Strong Associations of Dusty Star-forming Galaxies. , keywords =. doi:10.3847/1538-4357/ab2cd5 , archivePrefix =. 1902.09555 , primaryClass =

  40. [40]

    SILVERRUSH. VII. Subaru/HSC Identifications of Protocluster Candidates at z 6-7: Implications for Cosmic Reionization. , keywords =. doi:10.3847/1538-4357/ab2192 , archivePrefix =. 1801.00531 , primaryClass =

  41. [41]

    An extreme proto-cluster of luminous dusty starbursts in the early Universe

    An Extreme Protocluster of Luminous Dusty Starbursts in the Early Universe. , keywords =. doi:10.3847/1538-4357/aaa1f1 , archivePrefix =. 1709.02809 , primaryClass =

  42. [42]

    Do submillimeter galaxies really trace the most massive dark matter halos? Discovery of a high-z cluster in a highly active phase of evolution

    Do Submillimeter Galaxies Really Trace the Most Massive Dark-Matter Halos? Discovery of a High-z Cluster in a Highly Active Phase of Evolution. , keywords =. doi:10.1088/0004-637X/691/1/560 , archivePrefix =. 0809.1159 , primaryClass =

  43. [43]

    A massive core for a cluster of galaxies at a redshift of 4.3

    A massive core for a cluster of galaxies at a redshift of 4.3. , keywords =. doi:10.1038/s41586-018-0025-2 , archivePrefix =. 1804.09231 , primaryClass =

  44. [44]

    , keywords =

    Megaparsec-scale structure around the protocluster core SPT2349-56 at z = 4.3. , keywords =. doi:10.1093/mnras/staa1275 , archivePrefix =. 2002.11600 , primaryClass =

  45. [45]

    , keywords =

    Overdensities of submillimetre-bright sources around candidate protocluster cores selected from the South Pole Telescope survey. , keywords =. doi:10.1093/mnras/stab2800 , archivePrefix =. 2010.02909 , primaryClass =

  46. [46]

    The Habitat Segregation between Lyman Break Galaxies and Lyman alpha Emitters around a QSO at z~5

    The Habitat Segregation between Lyman Break Galaxies and Ly Emitters around a QSO at z -0.5ex 5. , keywords =. doi:10.1086/518410 , archivePrefix =. 0704.2238 , primaryClass =

  47. [47]

    EIGER. I. A Large Sample of [O III]-emitting Galaxies at 5.3 < z < 6.9 and Direct Evidence for Local Reionization by Galaxies. , keywords =. doi:10.3847/1538-4357/acc588 , archivePrefix =. 2211.08254 , primaryClass =

  48. [48]

    The Serendipitous Discovery of a Group or Cluster of young Galaxies at z=2.40 in Deep Hubble Space Telescope WFPC2 Images

    The Serendipitous Discovery of a Group or Cluster of Young Galaxies at z2.40 in Deep Hubble Space Telescope WFPC2 Images. , keywords =. doi:10.1086/309852 , archivePrefix =. astro-ph/9512033 , primaryClass =

  49. [49]

    Discovery of six Ly alpha emitters near a radio galaxy at z ~ 5.2

    Discovery of six Ly emitters near a radio galaxy at z 5.2. , keywords =. doi:10.1051/0004-6361:200400041 , archivePrefix =. astro-ph/0408520 , primaryClass =

  50. [50]

    Properties of Ly-alpha emitters around the radio galaxy MRC 0316-257

    Properties of Ly emitters around the radio galaxy MRC 0316 257 ^ ,. , keywords =. doi:10.1051/0004-6361:20042038 , archivePrefix =. astro-ph/0501259 , primaryClass =

  51. [51]

    , keywords =

    ODIN: Where Do Ly Blobs Live? Contextualizing Blob Environments within Large-scale Structure. , keywords =. doi:10.3847/1538-4357/acd341 , archivePrefix =. 2302.07860 , primaryClass =

  52. [52]

    , keywords =

    A lensed protocluster candidate at z = 7.66 identified in JWST observations of the galaxy cluster SMACS0723 - 7327. , keywords =. doi:10.1051/0004-6361/202244719 , archivePrefix =. 2208.04930 , primaryClass =

  53. [53]

    Early Results from GLASS-JWST. XIV. A Spectroscopically Confirmed Protocluster 650 Million Years after the Big Bang. , keywords =. doi:10.3847/2041-8213/acb99e , archivePrefix =. 2211.09097 , primaryClass =

  54. [54]

    New insights into the most distant Ly detection

    GN-z11: The environment of an active galactic nucleus at z = 10.603. New insights into the most distant Ly detection. , keywords =. doi:10.1051/0004-6361/202347187 , archivePrefix =. 2306.09142 , primaryClass =

  55. [55]

    , keywords =

    JADES Imaging of GN-z11: Revealing the Morphology and Environment of a Luminous Galaxy 430 Myr after the Big Bang. , keywords =. doi:10.3847/1538-4357/acdbc6 , archivePrefix =. 2302.07234 , primaryClass =

  56. [56]

    , keywords =

    A SPectroscopic Survey of Biased Halos in the Reionization Era (ASPIRE): JWST Reveals a Filamentary Structure around a z = 6.61 Quasar. , keywords =. doi:10.3847/2041-8213/accd6f , archivePrefix =. 2304.09894 , primaryClass =

  57. [57]

    Systematic Identification of LAEs for Visible Exploration and Reionization Research Using Subaru HSC (SILVERRUSH). I. Program strategy and clustering properties of 2000 Ly emitters at z = 6-7 over the 0.3-0.5 Gpc ^ 2 survey area. , keywords =. doi:10.1093/pasj/psx074 , archivePrefix =. 1704.07455 , primaryClass =

  58. [58]

    , keywords =

    The FLAMINGO project: cosmological hydrodynamical simulations for large-scale structure and galaxy cluster surveys. , keywords =. doi:10.1093/mnras/stad2419 , archivePrefix =. 2306.04024 , primaryClass =

  59. [59]

    , keywords =

    FLAMINGO: calibrating large cosmological hydrodynamical simulations with machine learning. , keywords =. doi:10.1093/mnras/stad2540 , archivePrefix =. 2306.05492 , primaryClass =

  60. [60]

    The BAHAMAS project: Calibrated hydrodynamical simulations for large-scale structure cosmology

    The BAHAMAS project: calibrated hydrodynamical simulations for large-scale structure cosmology. , keywords =. doi:10.1093/mnras/stw2792 , archivePrefix =. 1603.02702 , primaryClass =

  61. [61]

    The BAHAMAS project: the CMB--large-scale structure tension and the roles of massive neutrinos and galaxy formation

    The BAHAMAS project: the CMB-large-scale structure tension and the roles of massive neutrinos and galaxy formation. , keywords =. doi:10.1093/mnras/sty377 , archivePrefix =. 1712.02411 , primaryClass =

  62. [62]

    Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

    Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing. , keywords =. doi:10.1103/PhysRevD.105.023520 , archivePrefix =. 2105.13549 , primaryClass =

  63. [63]

    Planck 2018 results. VI. Cosmological parameters. , keywords =. doi:10.1051/0004-6361/201833910 , archivePrefix =. 1807.06209 , primaryClass =

  64. [64]

    , keywords =

    Consistent lensing and clustering in a low-S _ 8 Universe with BOSS, DES Year 3, HSC Year 1, and KiDS-1000. , keywords =. doi:10.1093/mnras/stac2938 , archivePrefix =. 2202.07440 , primaryClass =

  65. [65]

    , keywords =

    SWIFT: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications. , keywords =. doi:10.1093/mnras/stae922 , archivePrefix =. 2305.13380 , primaryClass =

  66. [66]

    L., & Rankin, J

    The physics driving the cosmic star formation history. , keywords =. doi:10.1111/j.1365-2966.2009.16029.x , archivePrefix =. 0909.5196 , primaryClass =

  67. [67]

    The EAGLE project: Simulating the evolution and assembly of galaxies and their environments

    The EAGLE project: simulating the evolution and assembly of galaxies and their environments. , keywords =. doi:10.1093/mnras/stu2058 , archivePrefix =. 1407.7040 , primaryClass =

  68. [68]

    Towards a realistic population of simulated galaxy groups and clusters

    Towards a realistic population of simulated galaxy groups and clusters. , keywords =. doi:10.1093/mnras/stu608 , archivePrefix =. 1312.5462 , primaryClass =

  69. [69]

    , keywords =

    Radiative cooling rates, ion fractions, molecule abundances, and line emissivities including self-shielding and both local and metagalactic radiation fields. , keywords =. doi:10.1093/mnras/staa2172 , archivePrefix =. 2006.14322 , primaryClass =

  70. [70]

    2007, MNRAS, 376, 1145, doi: 10.1111/j.1365-2966.2007.11495.x

    On the relation between the Schmidt and Kennicutt-Schmidt star formation laws and its implications for numerical simulations. , keywords =. doi:10.1111/j.1365-2966.2007.12639.x , archivePrefix =. 0709.0292 , primaryClass =

  71. [71]

    Galactic Stellar and Substellar Initial Mass Function

    Galactic Stellar and Substellar Initial Mass Function. , keywords =. doi:10.1086/376392 , archivePrefix =. astro-ph/0304382 , primaryClass =

  72. [72]

    L., & Rankin, J

    Chemical enrichment in cosmological, smoothed particle hydrodynamics simulations. , keywords =. doi:10.1111/j.1365-2966.2009.15331.x , archivePrefix =. 0902.1535 , primaryClass =

  73. [73]

    , keywords =

    Simulating galactic outflows with kinetic supernova feedback. , keywords =. doi:10.1111/j.1365-2966.2008.13322.x , archivePrefix =. 0801.2770 , primaryClass =

  74. [74]

    Direct cosmological simulations of the growth of black holes and galaxies

    Direct Cosmological Simulations of the Growth of Black Holes and Galaxies. , keywords =. doi:10.1086/524921 , archivePrefix =. 0705.2269 , primaryClass =

  75. [75]

    L., & Rankin, J

    Cosmological simulations of the growth of supermassive black holes and feedback from active galactic nuclei: method and tests. , keywords =. doi:10.1111/j.1365-2966.2009.15043.x , archivePrefix =. 0904.2572 , primaryClass =

  76. [76]

    , year = 2005, month = apr, volume =

    Modelling feedback from stars and black holes in galaxy mergers. , keywords =. doi:10.1111/j.1365-2966.2005.09238.x , archivePrefix =. astro-ph/0411108 , primaryClass =

  77. [77]

    The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations

    The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations. , keywords =. doi:10.1093/mnras/stv725 , archivePrefix =. 1501.01311 , primaryClass =

  78. [78]

    , keywords =

    The importance of black hole repositioning for galaxy formation simulations. , keywords =. doi:10.1093/mnras/stac1339 , archivePrefix =. 2109.01489 , primaryClass =

  79. [79]

    Simulating Galaxy Formation with the IllustrisTNG Model

    Simulating galaxy formation with the IllustrisTNG model. , keywords =. doi:10.1093/mnras/stx2656 , archivePrefix =. 1703.02970 , primaryClass =

  80. [80]

    Hunting for Galaxies and Halos in simulations with VELOCIraptor

    Hunting for galaxies and halos in simulations with VELOCIraptor. , keywords =. doi:10.1017/pasa.2019.12 , archivePrefix =. 1902.01010 , primaryClass =

Showing first 80 references.