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Record W4399767983 · doi:10.54097/s30xc843

The Impact of Dark Matter Halo on Galaxy Structure and Morphology in Early Universe

2024· article· en· W4399767983 on OpenAlexaff
Yihan Zheng

Bibliographic record

VenueHighlights in Science Engineering and Technology · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHaloDark matter haloAstrophysicsUniverseDark matterMorphology (biology)PhysicsGalaxy formation and evolutionGalaxyAstronomyGeologyPaleontology

Abstract

fetched live from OpenAlex

This essay will represent the importance of dark matter halo for galaxy formation and galaxy morphology in the early universe. The goal of this is to find the impact of dark matter halo on galaxy structure, and the relationship between different galaxies’ dark matter halo. There are still some unknown parts of the dark matter halo, such as its radius and its peak distribution. In this essay, there are several citations from different research, from the dead massive galaxy MACS J2129.4-0741 to dwarf galaxy Tucana II, which aim to discuss the effect of dark matter halo widely. It includes the dark matter halo’s properties and also includes the visual manifestation of dark matter halos. What’s more, it includes the impact of dark matter halo in different kinds of galaxies. Overall, the essay presents some important conclusions about the importance of dark matter halo in structure and morphology summarizes some achievements of dark matter halo research, and some suggestions for future observation and simulation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.237
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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