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Record W1970537347 · doi:10.1093/mnras/stt525

Dark matter halo properties from galaxy–galaxy lensing★

2013· article· en· W1970537347 on OpenAlexaboutno aff
F. Brimioulle, S. Seitz, M. Lerchster, R. Bender, J. Snigula

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsAstrophysicsGalaxyHaloSigmaLuminosityRedshiftWeak gravitational lensingDark matterGravitational lensAstronomy

Abstract

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We present results for a galaxy–galaxy lensing study based on imaging data from the Canada–France–Hawaii Telescope Legacy Survey Wide. From a 12 million object multicolour catalogue for 124 deg2 of photometric data in the u*g′r′i′z′ filters, we compute photometric redshifts (with a scatter of σΔz/(1 + z) = 0.033 and an outlier rate of η = 2.0 per cent for i′ ≤ 22.5) and extract galaxy shapes down to i′ = 24.0. We select a sample of lenses and sources with 0.05 < zd ≤ 1 and 0.05 < zs ≤ 2. We fit three different galaxy halo profiles to the lensing signal, a singular isothermal sphere (SIS), a truncated isothermal sphere (BBS) and a universal density profile (NFW). We derive velocity dispersions by fitting an SIS out to 100 h−1 kpc to the excess surface mass density ΔΣ and perform maximum likelihood analyses out to a maximum scale of 2 h−1 Mpc to obtain halo parameters and scaling relations. We find luminosity scaling relations of σred ∝ L0.24 ± 0.03 for the red lens sample, σblue ∝ L0.23 ± 0.03 for blue lenses and σ ∝ L0.29 ± 0.02 for the combined lens sample with zero-points of |$\sigma ^{*}_{\rm red}=162\pm 2\,{\rm km\ s^{-1}}$|⁠, |$\sigma ^{*}_{\rm blue}=115\pm 3\,{\rm km\ s^{-1}}$| and σ* = 135 ± 2 km s−1 at a chosen reference luminosity |$L^{*}_{r^{\prime}}=1.6 \times 10^{10}\ h^{-2}\ L_{r^{\prime},\odot}$|⁠. The steeper slope for the combined sample is due to the different zero-points of the blue and red lenses and the fact that blue lenses dominate at low luminosities and red lenses at high luminosities. The mean effective redshifts for the lens samples are 〈zred〉 = 0.28 for red lenses, 〈zblue〉 = 0.35 for blue lenses and 〈z〉 = 0.34 for the combined lens sample. The BBS maximum likelihood analysis yields for the combined sample a velocity dispersion of |$\sigma ^{*} = 131^{+2}_{-2}$| km s− 1 and a truncation radius of |$s^{*} = 184^{+17}_{+14} \ h^{-1}$| kpc, corresponding to a total mass of |$M^{*}_{\rm {total,BBS}} = 2.32^{+0.28}_{-0.25} \times 10^{12} \ h^{-1} \ {\rm M}_{{\odot }}$| and a mass-to-light (M/L) ratio of |$M^{*}_{\rm total,BBS}/L^{*}=178^{+22}_{-19} \ h \ {\rm M}_{{\odot }}/L_{r^{\prime },{\odot }}$| at |$L^{*}_{r^\prime}$|⁠. At a given luminosity, both velocity dispersion σ and truncation radius s are larger for red galaxies than for blue galaxies. For an NFW profile, we measure at |$L^{*}_{r^\prime}$| a virial radius of |$r^{*}_{200} = 133^{+3}_{-2} \ h^{-1}$| kpc and a concentration parameter of |$c^{*} = 6.4^{+0.9}_{-0.7}$|⁠, implying a virial mass of |$M^{*}_{200} = 7.6^{+0.5}_{-0.3} \times 10^{11} \ h^{-1} \,\mathrm{M}_{{\odot }}$|⁠. At L* for blue galaxies the concentration parameter is slightly higher than for red galaxies and r200 is significantly lower. For the combined sample, if described as a single power law, the M/L ratio scales as |$M_{\rm total, BBS}/L \propto L^{0.12^{+0.10}_{-0.11}}$|⁠, the concentration parameter scales as |$c \propto L^{-0.07^{+0.11}_{-0.11}}$|⁠. Analysing the M/L scaling for red and blue galaxies separately, we find that a broken power law (with a flat slope at high luminosities) provides a more appropriate description for red and possibly also for blue galaxies. We measure M200/Mstar for red galaxies over 2.5 decades in stellar mass. We find a minimum for this ratio at Mstar ∼ 3-4 × 1010 h− 2 M⊙ with a strong increase for lower stellar masses.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.007
GPT teacher head0.175
Teacher spread0.168 · 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 source (direct Gemma or distilled Codex), 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

Citations69
Published2013
Admission routes1
Has abstractyes

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Same venueMonthly Notices of the Royal Astronomical Society→Same topicGalaxies: Formation, Evolution, Phenomena→French-language works237,207→