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MIGHTEE: multi-wavelength counterparts in the COSMOS field

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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I. H. Whittam, M. Prescott, C. L. Hale, M .J. Jarvis, I. Heywood, Fangxia An, M. Glowacki, N. Maddox
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L. Marchetti, L. K. Morabito, N. J. Adams, R. A. A. Bowler, P. W. Hatfield, R. G. Varadaraj, J. Collier, B. Frank, A.R. Taylor, M. G. Santos, M. Vaccari, J. Afonso, Y. Ao, J. Delhaize, K. Knowles, S. Kolwa, S. M. Randriamampandry, Z. Randriamanakoto, O. Smirnov, D. J. B. Smith, S. V. White

Astrophysics of Galaxies · Submitted 26 Oct 2023

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We proceed to show that visual classification will still remain an essential process for the cross-matching of complex and extended radio sources.

how it is stated · asserted 0.97 read the record →

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arXiv ID2310.17409 (version 1)
Pith IDLYZLCEIN, Pith's permanent record of this paper and its review
CitationA.R. Taylor, B. Frank, C. L. Hale, D. J. B. Smith, FangXia An, I. Heywood, I. H. Whittam, J. Afonso, J. Collier, J. Delhaize, K. Knowles, L. K. Morabito, L. Marchetti, M. Glowacki, M. G. Santos, M .J. Jarvis, M. Prescott, M. Vaccari, N. J. Adams, N. Maddox, O. Smirnov, P. W. Hatfield, R. A. A. Bowler, R. G. Varadaraj, S. Kolwa, S. M. Randriamampandry, S. V. White, Y. Ao, Z. Randriamanakoto. "MIGHTEE: multi-wavelength counterparts in the COSMOS field." arXiv:2310.17409 (2023). https://pith.science/paper/LYZLCEIN
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 7,119 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.87 · human participants 0.06 · controlled comparison 0.23 · randomized assignment 0.01 · states quantitative result 0.99 · compares with prior results 0.96 · mentions code or data availability 0.53.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

In this paper we combine the Early Science radio continuum data from the MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) Survey, with optical and near-infrared data and release the cross-matched catalogues. The radio data used in this work covers $0.86$ deg$^2$ of the COSMOS field, reaches a thermal noise of $1.7$ $\mu$Jy/beam and contains $6102$ radio components. We visually inspect and cross-match the radio sample with optical and near-infrared data from the Hyper Suprime-Cam (HSC) and UltraVISTA surveys. This allows the properties of active galactic nuclei and star-forming populations of galaxies to be probed out to $z \approx 5$. Additionally, we use the likelihood ratio method to automatically cross-match the radio and optical catalogues and compare this to the visually cross-matched catalogue. We find that 94 per cent of our radio source catalogue can be matched with this method, with a reliability of $95$ per cent. We proceed to show that visual classification will still remain an essential process for the cross-matching of complex and extended radio sources. In the near future, the MIGHTEE survey will be expanded in area to cover a total of $\sim$20~deg$^2$; thus the combination of automated and visual identification will be critical. We compare redshift distribution of SFG and AGN to the SKADS and T-RECS simulations and find more AGN than predicted at $z \sim 1$.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In this paper we combine the Early Science radio continuum data from the MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) Survey, with optical and near-infrared data and release the cross-matched catalogues. contribution 0.97 0.95 0.08 asserted 0.99
s1 The radio data used in this work covers $0.86$ deg$^2$ of the COSMOS field, reaches a thermal noise of $1.7$ $\mu$Jy/beam and contains $6102$ radio components. method 0.89 0.75 0.03 asserted 1.00
s2 We visually inspect and cross-match the radio sample with optical and near-infrared data from the Hyper Suprime-Cam (HSC) and UltraVISTA surveys. method 0.96 0.96 0.03 asserted 0.99
s3 This allows the properties of active galactic nuclei and star-forming populations of galaxies to be probed out to $z \approx 5$. interpretation 0.65 0.53 0.14 asserted 0.67
s4 Additionally, we use the likelihood ratio method to automatically cross-match the radio and optical catalogues and compare this to the visually cross-matched catalogue. method 0.95 0.96 0.05 asserted 0.97
s5 We find that 94 per cent of our radio source catalogue can be matched with this method, with a reliability of $95$ per cent. result 1.00 0.98 0.18 asserted 1.00
s6 We proceed to show that visual classification will still remain an essential process for the cross-matching of complex and extended radio sources. interpretation 0.50 0.81 0.22 asserted 0.97
s7 In the near future, the MIGHTEE survey will be expanded in area to cover a total of $\sim$20~deg$^2$; thus the combination of automated and visual identification will be critical. future work 1.00 0.20 0.10 asserted 0.75
s8 We compare redshift distribution of SFG and AGN to the SKADS and T-RECS simulations and find more AGN than predicted at $z \sim 1$. result 1.00 0.96 0.18 asserted 1.00

What kind of paper the classifier reports this is: dataset or benchmark 1.00 · evidence from observation or experiment 0.51.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

In this paper we combine the Early Science radio continuum data from the MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) Survey, with optical and near-infrared data and release the cross-matched catalogues. The radio data used in this work covers $0.86$ deg$^2$ of the COSMOS field, reaches a thermal noise of $1.7$ $\mu$Jy/beam and contains $6102$ radio components. We visually inspect and cross-match the radio sample with optical and near-infrared data from the Hyper Suprime-Cam (HSC) and UltraVISTA surveys. This allows the properties of active galactic nuclei and star-forming populations of galaxies to be probed out to $z \approx 5$. Additionally, we use the likelihood ratio method to automatically cross-match the radio and optical catalogues and compare this to the visually cross-matched catalogue. We find that 94 per cent of our radio source catalogue can be matched with this method, with a reliability of $95$ per cent. We proceed to show that visual classification will still remain an essential process for the cross-matching of complex and extended radio sources. In the near future, the MIGHTEE survey will be expanded in area to cover a total of $\sim$20~deg$^2$; thus the combination of automated and visual identification will be critical. We compare redshift distribution of SFG and AGN to the SKADS and T-RECS simulations and find more AGN than predicted at $z \sim 1$.

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What this paper does with the arXiv papers it cites

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

What it cites · 1 sentence without a confident label

Cites as background 1 paper
  • In the future, spectroscopic redshifts for further MIGHTEE sources will become available from the Deep Extragalactic VIsible Legacy Survey [ref] , the Multi-Object Optical and Near-infrared Spectrograph [ref] and the 4-metre Multi-Object Spectroscopic Telescope [ref] , and in particular the Optical, Radio Continuum and HI Deep Spectroscopic Survey [ref] .

    MOONS: a Multi-Object Optical and Near-infrared Spectrograph for the VLT · Redshifts for the cross-matched sample · 0.85

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