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Record W4309300350 · doi:10.3847/1538-4357/ac9974

COOL-LAMPS. II. Characterizing the Size and Star Formation History of a Bright Strongly Lensed Early-type Galaxy at Redshift 1.02

2022· article· en· W4309300350 on OpenAlexfundno aff
Ezra Sukay, Gourav Khullar, Michael D. Gladders, Keren Sharon, Guillaume Mahler, K. Napier, L. E. Bleem, Håkon Dahle, Michael Florian, Katya Gozman, Jason J. Lin, Michael N. Martinez, Owen S. Matthews Acuña, Elisabeth Medina, Kaiya Merz, Jorge Abril Sánchez, Emily E. Sisco, Daniel J. Kavin Stein, Kiyan Tavangar, Katherine E. Whitaker

Bibliographic record

VenueThe Astrophysical Journal · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersMax-Planck-GesellschaftBrookhaven National LaboratoryArgonne National LaboratoryIntegrated Electronics Engineering Center, Binghamton UniversityUniversity of Illinois at Urbana-ChampaignOffice of ScienceFermilabMax-Planck-Institut für AstronomieDeutsche ForschungsgemeinschaftChinese Academy of SciencesHigh Energy PhysicsUniversity of SussexUniversity of NottinghamScience and Technology Facilities CouncilYork UniversityUniversity of ChicagoNational Energy Research Scientific Computing CenterUniversity of MichiganNational Science FoundationCase Western Reserve UniversityCarnegie Mellon UniversityUniversity of CambridgeUniversity of PittsburghUniversity of ArizonaLos Alamos National LaboratoryCollege of Engineering, Michigan State UniversityPrinceton UniversityUniversity of WashingtonAlfred P. Sloan FoundationJohns Hopkins UniversityUniversität BaselSLAC National Accelerator LaboratoryDrexel UniversityVanderbilt UniversityHarvard UniversityOhio State UniversityUniversity College LondonNational Aeronautics and Space AdministrationLawrence Berkeley National LaboratoryDivision of Astronomical SciencesFinanciadora de Estudos e ProjetosUniversity of PennsylvaniaNew Mexico State UniversityUniversity of PortsmouthU.S. Department of EnergyYale UniversityU.S. Naval ObservatoryCalifornia Institute of Technology
KeywordsPhysicsAstrophysicsGalaxyStar formationAstronomyStellar massRedshiftFundamental plane (elliptical galaxies)Gravitational lensObservatoryBillion yearsMetallicityLenticular galaxy

Abstract

fetched live from OpenAlex

Abstract We present COOL J1323+0343, an early-type galaxy at z = 1.0153 ± 0.0006, strongly lensed by a cluster of galaxies at z = 0.353 ± 0.001. This object was originally imaged by DECaLS and noted as a gravitational lens by COOL-LAMPS, a collaboration initiated to find strong-lensing systems in recent public optical imaging data, and confirmed with follow-up data. With ground-based grzH imaging and optical spectroscopy from the Las Campanas Observatory and the Nordic Optical Telescope, we derive a stellar mass, metallicity, and star formation history from stellar-population synthesis modeling. The lens modeling implies a total magnification, summed over the three images in the arc, of μ ∼ 113. The stellar mass in the source plane is M * ∼ 10.64 M ⊙ and the 1σ upper limit on the star formation rate (SFR) in the source plane is SFR ∼ 3.75 × 10−2 M ⊙ yr−1 (log sSFR = −12.1 yr−1) in the youngest two age bins (0–100 Myr), closest to the epoch of observation. Our measurements place COOL J1323+0343 below the characteristic mass of the stellar mass function, making it an especially compelling target that could help clarify how intermediate-mass quiescent galaxies evolve. We reconstruct COOL J1323+0343 in the source plane and fit its light profile. This object is below the expected size evolution of an early-type galaxy at this mass with an effective radius r e ∼ 0.5 kpc. This extraordinarily magnified and bright lensed early-type galaxy offers an exciting opportunity to study the morphology and star formation history of an intermediate-mass early-type galaxy in detail at z ∼ 1.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.189
Teacher spread0.180 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

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