Pith. sign in

REVIEW 2 major objections 7 minor 88 references

The VMC survey -- LIII. Data release #7. Complete survey data and data from additional programmes

T0 review · 2 major / 7 minor · reviewed 2026-08-16 · deepseek-v4-flash

Pith's one-line read DR7 is the final VMC data release: it supersedes all previous releases, combines the survey with twelve additional programmes, and provides about 64 million detections, individual stellar proper motions for about 12 million sources…

desk verdict The final VMC data release is a genuine legacy product that deserves publication after minor cleanup; the homogeneity worry is reasonable but not a load-bearing flaw. read the letter →

arxiv 2504.20694 v1 pith:LNBXMISD submitted 2025-04-29 astro-ph.GA

classification astro-ph.GA
keywords MagellanicCloudsnear-infraredsurveyVMCdatareleasestellarpropermotionsreddeningsourceclassificationvariablestars
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

This paper presents DR7, the final public data release of the VMC survey, a nine-year near-infrared imaging programme of the Magellanic Clouds. The release combines the original survey with twelve supplementary observing programmes and reprocesses all images with updated calibration and stricter quality criteria, producing about 64 million detections across the Large Cloud, Small Cloud, Bridge, and two Stream fields. For the first time it publishes individual stellar proper motions for roughly 12 million sources, reddening measurements toward red clump stars in both galaxies, and probabilistic source classifications, and it ties previously published variable-star parameters to the release. If the claims are correct, this homogeneous catalogue is the reference data set for studies of the structure, star formation history, and internal kinematics of the nearest interacting galaxy system, and a counterpart for sources detected at other wavelengths.

What carries the argument

The load-bearing machinery is the reprocessing chain that turns raw near-infrared images into the combined deep-stacked catalogue. Individual pawprints are stacked into tiles, good-quality tiles are co-added per filter into deep images, and pass-band detections are merged into band-merged catalogues; the team's own products are then derived from these, including PSF photometry, proper-motion fits from linear least-squares to source positions over time, reddening estimates from red clump stars, and probabilistic random-forest classifications. The work this does is to convert heterogeneous observations—different dither patterns, exposure times, tile patterns, and detector behaviours—into one queryable catalogue, with quality flags carrying the residual imperfections.

What would settle it

Measure photometric and astrometric consistency at tile boundaries: if sources in the overlap of adjacent tiles show systematic magnitude steps or proper-motion discontinuities larger than the quoted uncertainties, the homogeneity claim would be falsified, and a cross-check of the proper-motion zero points derived from stars against those derived from background galaxies should agree within the stated errors.

Watch

Extended reading notes

Core claim

The central claim is that DR7 is the definitive VMC data product set: it supersedes all previous VMC releases for the combined deep-stacked images and catalogues, while adding complementary single-epoch products, and it delivers a single homogeneous near-infrared survey of the Magellanic Cloud system. The release is built by combining the VMC survey observations with data from twelve additional programmes, some of which fill gaps in the original footprint, add epochs for variability studies, or extend time baselines for proper motions, and then reprocessing the whole set with an updated pipeline and revised image-quality criteria. The resulting products include about 64 million detections split between stellar and galaxy profiles, stellar proper motions for about 12 million sources, reddening toward red clump stars, random-forest source classifications, and tables of Cepheid, RR Lyrae, long-period variable, eclipsing binary, quasar, and background-galaxy parameters that are associated with a public release for the first time.

Load-bearing premise

The entire release stands on the assumption that observations taken under different dither patterns, exposure times, tile patterns, and detector conditions can be combined into one uniform catalogue, with the paper's exclusions and quality flags catching the worst mismatches.

Editorial extensions

If this is right

  • Any study using VMC deep-stacked data should switch to DR7, since it supersedes earlier releases and incorporates the additional-programme epochs.
  • The roughly 12-million-source proper-motion table lets researchers map the internal kinematics of both galaxies over time baselines of 7 to 13 years.
  • The reddening values toward red clump stars provide a uniform dust screen for correcting stellar photometry across the Large and Small Magellanic Clouds.
  • The source classifications and extragalactic tables make the survey useful as a deep background-galaxy and active-galactic-nucleus catalogue behind the Clouds.
  • Linking previously published variable-star parameters to the release turns those tables into queryable companions of the images.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the homogeneity claim survives scrutiny, the explicit flagging of tiles with short baselines or incompatible dither patterns is a useful model for merging archival survey data collected under different observing strategies.
  • The combination of deep near-infrared imaging with absolute-frame proper motions implies that searches for tidal streams or unusual kinematics in the Clouds no longer depend on optical data, reaching heavily extincted regions as well.
  • A natural testable extension is to compare DR7 photometry and proper motions in the overlap regions between adjacent tiles; systematic steps at the boundaries would localize exactly where the dither-pattern differences matter.
  • With nearly half of the detections having galaxy profiles, the same release effectively doubles as an extragalactic survey, so cross-matching it with optical imaging should yield photometric redshifts for millions of background sources.
Share X Bluesky LinkedIn Reddit HN

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

2 major / 7 minor

Summary. This paper presents DR7, the final public data release of the VISTA VMC near-infrared survey of the Magellanic Clouds, combining the original VMC programme (179.B-2003) with twelve additional ESO programmes observed between 2017 and 2023. All data are reprocessed with version 1.5 of the VISTA Data Flow System, and the release provides deep-stacked images and catalogues with about 64 million detections, stellar proper motions for roughly 12 million sources (first public release), reddening values toward red clump stars, and auxiliary tables for Cepheids, RR Lyrae stars, long-period variables, eclipsing binaries, quasars, background galaxies, and a random-forest source classification. The paper documents the observing strategy, the different parameters of the additional programmes, quality control (Tables 1, 2, B.1-B.3), explicit flags for tiles with shortened time baselines (SMC 5_4 and the SMC-gap tile), and archival access through the VSA, the ESO Science Archive Facility, and CDS. The authors state that the release supersedes all previous VMC releases for the combined deep-stacked products and that the merged data set constitutes a homogeneous near-infrared survey of the Magellanic System.

Significance. Data release papers define the basis for all subsequent community use of a survey, and this is the final release of a programme that has already produced more than sixty publications. If the combination with the twelve additional programmes is photometrically sound, DR7 delivers the definitive homogeneous near-infrared dataset for the Magellanic System: deep YJKs stacks over roughly 171.5 deg^2, multi-epoch baselines of seven to thirteen years for variability and proper-motion work, and the first public per-star proper-motion catalogue from VMC. The paper's strengths are its transparency and archival completeness: full observation logs, per-tile quality tables, explicit exclusion criteria, machine-readable tables deposited at CDS and the VSA, and candid statements of limitations (the two-year proper-motion baseline for SMC 5_4, the five-year baseline for the SMC-gap tile, and the removal of four RR Lyrae sources with problematic magnitudes).

major comments (2)
  1. [§3.1/Table 1, §6; Abstract] The central claim that DR7 provides 'a homogeneous data set' (Abstract; §6) is not quantitatively validated for the combination of VMC survey epochs with the twelve additional programmes, which differ in jitter pattern, tile pattern, and exposure time (§2.2; for example, programme 0100.C-0248 uses jitter3u and Ks exposures of 480 s versus the survey's 175/375 s). Table 1 reports 1σ zero-point scatters of 0.08 mag in Y, 0.06 mag in J, and 0.03 mag in Ks for good-quality tile images, three to four times larger than the 'better than 2%' calibration precision quoted in §3; the paper does not show whether this scatter is random epoch-to-epoch noise, which would average down in the deep stacks, or includes systematic offsets between programmes, which would propagate directly into the superseding deep-stacked products. I request a quantitative consistency check: Table 1 statistics split by ESO programme, a photometric comparison of sources in tile-overlap regions observed by VMC-only versus additional-programme epochs, or an explicit estimate of the systematic floor of the stacked zero points (for instance, the scatter divided by the square root of the number of epochs).
  2. [§4.1.2, Table 5] The PSF completeness values in Table 5 are computed from artificial-star tests on VMC data alone ('without including the observations from the additional programmes'), and the text states that for tiles LMC 7_5 and SMC 5_4 the completeness 'will be replaced in an ongoing study.' Since these two tiles received the heaviest additional coverage and are the central legacy of the young-star variability programmes (§2.2.1), the completeness published with the final release does not describe the final stacked products where the difference matters most. Please either provide updated completeness for these tiles or add an explicit caveat to Table 5 and to the release documentation so that users do not apply completeness curves that are mismatched to the released DR7 stacks.
minor comments (7)
  1. [§4.2.1, §4.2.2, §5.3, §5.6] Several unresolved citation placeholders ('?') appear, including the reference for the proper-motion catalogue that is a headline product of this release; these citations must be completed before publication.
  2. [§2.2.3 versus §2.2 and acknowledgements] The proper-motion programme list in §2.2.3 includes 105.2043, while the summary list in §2.2 and the acknowledgements give 105.2042; the programme number should be reconciled.
  3. [§2.2.2] The SMC-gap description ends with an unclosed parenthesis, '(Fig. A.2.'.
  4. [§4.1.3 and Figure 7 caption] The pipeline acronym is spelled 'VDFS' in the text but 'VDSF' in the Figure 7 caption and in one sentence of §4.1.3; the spelling should be made uniform.
  5. [§1 and §4.1.3] Minor typos include 'comic web' (presumably 'cosmic web') in §1 and 'wether' (presumably 'whether') in §4.1.3.
  6. [§4.1.2] The phrase 'a few magnitude fainter' should read 'a few magnitudes fainter.'
  7. [Table 6] The reported proper-motion fit scatters (0.023–0.084 mas yr^-1) are remarkably small for ground-based single-epoch astrometry; a brief statement of the per-epoch centroid precision contributing to these values, or confirmation of the units, would help readers evaluate the catalogue quality.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: DR7 is a descriptive data release whose calibrations are anchored to external references (2MASS, Gaia DR3, background galaxies, isochrones), and the central homogeneity assumption is flagged rather than derived from itself.

full rationale

This is a data-release paper rather than a derivation with predictions, so the standard circularity patterns do not apply. The main claims—that DR7 supersedes earlier releases, contains about 64 million detections, and adds proper-motion, reddening, and classification tables—are descriptive statements about pipeline products and external catalogue associations. Photometric calibration is anchored to 2MASS via González-Fernández et al. (2018), proper motions are calibrated to Gaia DR3 for the LMC and SMC and to background galaxies for the Bridge and Stream, and the reddening reference is an isochrone-based intrinsic colour with the Cardelli et al. extinction law. These are independent external references, not outputs of the paper renamed as measurements. The many self-citations in Sect. 5 are a retrospective summary of consortium science and do not carry the load of validating the release. The only assumption that could be called the weakest point—that data from twelve additional programmes with different jitter patterns, tile patterns, and exposure times can be combined into a homogeneous catalogue—is explicitly mitigated by quality cuts, flagging, and disclosure of reduced baselines for SMC 5_4 and the SMC-gap tile; it is an observational calibration and homogeneity assumption, not a circular step. No equation in the paper defines a fitted parameter as a predicted quantity, and no uniqueness theorem is imported from the authors' prior work. Hence the derivation chain is self-contained in the sense relevant to circularity, and the honest finding is no significant circularity.

Assumptions & free parameters 0 free parameters · 3 assumptions · 0 invented entities

The paper introduces no physical constants, empirical fits, or new entities. Its central claims are about survey products built on established pipelines and external calibrators, so the free-parameter list is empty.

assumptions (3)
  • domain assumption The VDFS and WFAU pipeline products are astrometrically and photometrically reliable across all VMC and additional-programme tiles.
    Invoked throughout Sections 3 and 4. The paper reports calibration to 2MASS and Gaia DR3 but does not re-derive or independently validate the pipeline for the combined data set.
  • domain assumption The combination of VMC and additional-programme epochs into a homogeneous survey is valid despite different jitter patterns, exposure times, tile patterns, and swapped detectors.
    Sections 2.2 and 3.1. The conclusion that DR7 is a homogeneous data set depends on this. The paper partially mitigates it by excluding some observations and by flagging SMC 5_4 and SMC-gap baseline limitations.
  • domain assumption External catalogues (2MASS, Gaia DR3, OGLE, SMASH) provide accurate reference frames and classifications for calibration.
    Sections 3 and 4.2.1. Photometric zero-points and proper-motion absolute calibration rely on these external references without independent verification in this paper.

how reviews work

0 comments
Cite this review

Pith. "Pith review of The VMC survey -- LIII. Data release #7. Complete survey data and data from additional programmes." pith.science (2026). https://pith.science/paper/LNBXMISD

@misc{pith2026250420694,
  author       = {Pith},
  title        = {Pith review of: The VMC survey -- LIII. Data release #7. Complete survey data and data from additional programmes},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/LNBXMISD}},
  note         = {Machine review of arXiv:2504.20694}
}
read the original abstract

The near-infrared YJKs Visual and Infrared Survey Telescope for Astronomy (VISTA) survey of the Magellanic Clouds (VMC) is complete and there are also data from additional programmes enhancing its quality over the original footprint. This work presents the final data release of the VMC survey, which includes additional observations and provides an overview of the scientific results. The overall data quality has been revised and reprocessed standard data products, that already appeared in previous data releases, are made available together with new data products. These include individual stellar proper motions, reddening towards red clump stars and source classifications. Several data products, such as the parameters of some variable stars and of background galaxies, from the VMC publications are associated to a data release for the first time. The data are processed using the VISTA Data Flow System and additional products, e.g. catalogues with point-spread function photometry or tables with stellar proper motions, are obtained with software developed by the survey team. This release supersedes all previous data releases of the VMC survey for the combined (deepstacked) data products, whilst providing additional (complementary) images and catalogues of single observations per filter. Overall, it includes about 64 million detections, split nearly evenly between sources with stellar or galaxy profiles. The VMC survey provides a homogeneous data set resulting from deep and multi-epoch YJKs-band imaging observations of the Large and Small Clouds, the Bridge and two fields in the Stream. The VMC data represent a valuable counterpart for sources detected at other wavelengths for both stars and background galaxies.

Figures

Figures reproduced from arXiv: 2504.20694 by the authors.

Figure 1
Figure 1. Map of VMC detections in J and Ks , without a counterpart in Y, (top) with a stellar (middle) and galaxy (bottom) profile. Contours mark number density levels of 500, 1 000, 2 000, 4 000, and 8 000 sources [PITH_FULL_IMAGE:figures/full_fig_p006_1.png] view at source ↗
Figure 2
Figure 2. Apparent luminosity function in 0.2 mag bins, for the entire catalogue, with detections in multiple (two or three) and single filters. Each column corresponds to a different band and each line corresponds to a different combination of detections, as indicated within each panel. Sources with a stellar profile are shown in red and sources with a galaxy profile are shown in blue whereas their total is shown in black. 4… view at source ↗
Figure 3
Figure 3. Image cut-outs in the Y (left), J (middle) and Ks filters of dif￾ferent sources in the catalogue. Each image covers an area of 30×30 arcsec2 . Each row corresponds to the same central source as follows: (first row) the classical Cepheid OGLE-LMC-CEP-0002 ( [PITH_FULL_IMAGE:figures/full_fig_p008_3.png] view at source ↗
Figures from the paper (2 more)
Figure 4
Figure 4. Figure 4: Distribution of the VMC sources from tile LMC 3_3 in the colour–magnitude diagrams (Y, Y −J) on the left and (Ks , J−Ks) on the right. Different types of detections are colour-coded as follows. Sources with a stellar or a galaxy profile which are detected in three band…
Figure 7
Figure 7. Figure 7: Distribution of VMC sources from tile LMC 3_3 in the colour– magnitude diagram Ks , J−Ks colour-coded as follows. All sources with PSF photometry as shown in red while all sources with VDSF photome￾try are shown in black. The corresponding sources with photometric un￾c…

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

88 extracted references · 63 canonical work pages

  1. [1]

    Bell, C. P. M., Cioni, M.-R. L., Wright, A. H., et al. 2022, MNRAS, 516, 824

  2. [2]

    Bell, C. P. M., Cioni, M.-R. L., Wright, A. H., et al. 2019, MNRAS, 489, 3200

  3. [3]

    Bell, C. P. M., Cioni, M.-R. L., Wright, A. H., et al. 2020, MNRAS, 499, 993

  4. [4]

    2002, in Astronomical Society of the Pacific Conference Series, V ol

    Bertin, E., Mellier, Y ., Radovich, M., et al. 2002, in Astronomical Society of the Pacific Conference Series, V ol. 281, Astronomical Data Analysis Software and Systems XI, ed. D. A. Bohlender, D. Durand, & T. H. Handley, 228

  5. [5]

    A., Clayton, G

    Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245

  6. [6]

    V ., Rizzi, L., & Moretti, A

    Chiosi, E., Vallenari, A., Held, E. V ., Rizzi, L., & Moretti, A. 2006, A&A, 452, 179

  7. [7]

    2021, MNRAS, 507, 4752, (Paper XLIV)

    Choudhury, S., de Grijs, R., Bekki, K., et al. 2021, MNRAS, 507, 4752, (Paper XLIV)

  8. [8]

    2020, MNRAS, 497, 3746, (Paper XXXIX)

    Choudhury, S., de Grijs, R., Rubele, S., et al. 2020, MNRAS, 497, 3746, (Paper XXXIX)

Show all 88 references
  1. [9]

    Cioni, M. . R. L., Storm, J., Bell, C. P. M., et al. 2019, The Messenger, 175, 54

  2. [10]

    L., Bekki, K., Girardi, L., et al

    Cioni, M.-R. L., Bekki, K., Girardi, L., et al. 2016, A&A, 586, A77, (Paper XVII)

  3. [11]

    Cioni, M. R. L., Clementini, G., Girardi, L., et al. 2011, A&A, 527, A116, (Paper I)

  4. [12]

    Cioni, M. R. L., Girardi, L., Moretti, M. I., et al. 2014, A&A, 562, A32, (Paper IX)

  5. [13]

    Cioni, M. R. L., Kamath, D., Rubele, S., et al. 2013, A&A, 549, A29, (Paper VI)

  6. [14]

    2020, The Messenger, 180, 10

    Cirasuolo, M., Fairley, A., Rees, P., et al. 2020, The Messenger, 180, 10

  7. [15]

    Craig, J. E. M. & van Loon, J. T. 2021, in Galaxy Cluster Formation II, 68

  8. [16]

    Cross, N. J. G., Collins, R. S., Hambly, N. C., et al. 2009, MNRAS, 399, 1730

  9. [17]

    Cross, N. J. G., Collins, R. S., Mann, R. G., et al. 2012, A&A, 548, A119

  10. [18]

    I., Clementini, G., et al

    Cusano, F., Moretti, M. I., Clementini, G., et al. 2021, MNRAS, 504, 1, (Paper XLII)

  11. [19]

    B., Caldwell, M., Ward, A

    Dalton, G. B., Caldwell, M., Ward, A. K., et al. 2006, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, V ol. 6269, Ground- based and Airborne Instrumentation for Astronomy, ed. I. S. McLean & M. Iye, 62690X de Grijs, R. & Bono, G. 2015, AJ, 149,...

  12. [20]

    2020, L’Astronomie, 144, 40

    Dennefeld, M. 2020, L’Astronomie, 144, 40

  13. [21]

    & Oliveira, J

    Dresbach, F. & Oliveira, J. 2024, in EAS2024, European Astronomical Society Annual Meeting, 1628 El Youssoufi, D., Cioni, M.-R. L., Bell, C. P. M., et al. 2019, MNRAS, 490, 1076, (Paper XXXIV)

  14. [22]

    2006, The Messenger, 126, 41 Euclid Collaboration, Mellier, Y ., Abdurro’uf, et al

    Emerson, J., McPherson, A., & Sutherland, W. 2006, The Messenger, 126, 41 Euclid Collaboration, Mellier, Y ., Abdurro’uf, et al. 2024, arXiv e-prints, arXiv:2405.13491 Gaia Collaboration, Luri, X., Chemin, L., et al. 2021, A&A, 649, A7 Gaia Collaboration, Prusti, T., de Bruijn...

  15. [23]

    K., & Koch, A

    Glatt, K., Grebel, E. K., & Koch, A. 2010, A&A, 517, A50

  16. [24]

    A., Mucciarelli, A., Origlia, L., et al

    Gonzalez, O. A., Mucciarelli, A., Origlia, L., et al. 2020, The Messenger, 180, 18 González-Fernández, C., Hodgkin, S. T., Irwin, M. J., et al. 2018, MNRAS, 474, 5459

  17. [25]

    Groenewegen, M. A. T., Cioni, M. R. L., Girardi, L., et al. 2019, A&A, 622, A63, (Paper XXXIII)

  18. [26]

    Groenewegen, M. A. T., Nanni, A., Cioni, M. R. L., et al. 2020, A&A, 636, A48, (Paper XXXVII)

  19. [27]

    Gullieuszik, M., Groenewegen, M. A. T., Cioni, M. R. L., et al. 2012, A&A, 537, A105, (Paper III)

  20. [28]

    C., Collins, R

    Hambly, N. C., Collins, R. S., Cross, N. J. G., et al. 2008, MNRAS, 384, 637

  21. [29]

    & Zaritsky, D

    Harris, J. & Zaritsky, D. 2009, AJ, 138, 1243

  22. [30]

    J., Lewis, J., Hodgkin, S., et al

    Irwin, M. J., Lewis, J., Hodgkin, S., et al. 2004, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, V ol. 5493, Optimizing Scientific Return for Astronomy through Information Technologies, ed. P. J. Quinn & A. Bridger, 411–422

  23. [31]

    D., Cioni, M.-R

    Ivanov, V . D., Cioni, M.-R. L., Bekki, K., et al. 2016, A&A, 588, A93

  24. [32]

    D., Cioni, M.-R

    Ivanov, V . D., Cioni, M.-R. L., Dennefeld, M., et al. 2024, arXiv e-prints, arXiv:2404.18175

  25. [33]

    L., et al

    Kacharov, N., Tahmasebzadeh, B., Cioni, M.-R. L., et al. 2024, arXiv e-prints, arXiv:2410.05374

  26. [34]

    2014, ApJ, 790, 35, (Paper XI)

    Li, C., de Grijs, R., Deng, L., et al. 2014, ApJ, 790, 35, (Paper XI)

  27. [35]

    Madore, B. F. & Freedman, W. L. 2024, ApJ, 961, 166

  28. [36]

    D., Cioni, M.-R

    Maitra, C., Haberl, F., Ivanov, V . D., Cioni, M.-R. L., & van Loon, J. T. 2019, A&A, 622, A29

  29. [37]

    2017, MNRAS, 466, 3206, (Paper XXIII)

    Marconi, M., Molinaro, R., Ripepi, V ., et al. 2017, MNRAS, 466, 3206, (Paper XXIII)

  30. [38]

    2008, A&A, 482, 883

    Marigo, P., Girardi, L., Bressan, A., et al. 2008, A&A, 482, 883

  31. [39]

    2021, MNRAS, 508, 245, (Paper XLIII)

    Mazzi, A., Girardi, L., Zaggia, S., et al. 2021, MNRAS, 508, 245, (Paper XLIII)

  32. [40]

    D., Indebetouw, R., et al

    Meixner, M., Gordon, K. D., Indebetouw, R., et al. 2006, AJ, 132, 2268

  33. [41]

    E., Cioni, M.-R

    Miller, A. E., Cioni, M.-R. L., de Grijs, R., et al. 2022, MNRAS, 512, 1196, (Paper XLVII)

  34. [42]

    E., Slepian, Z., Lada, E

    Miller, A. E., Slepian, Z., Lada, E. A., et al. 2024, arXiv e-prints, arXiv:2410.14186

  35. [43]

    I., Clementini, G., Muraveva, T., et al

    Moretti, M. I., Clementini, G., Muraveva, T., et al. 2014, MNRAS, 437, 2702, (Paper X)

  36. [44]

    I., Clementini, G., Ripepi, V ., et al

    Moretti, M. I., Clementini, G., Ripepi, V ., et al. 2016, MNRAS, 459, 1687, (Paper XX)

  37. [45]

    2014, MNRAS, 443, 432

    Muraveva, T., Clementini, G., Maceroni, C., et al. 2014, MNRAS, 443, 432

  38. [46]

    2015, ApJ, 807, 127

    Muraveva, T., Palmer, M., Clementini, G., et al. 2015, ApJ, 807, 127

  39. [47]

    2018, MNRAS, 473, 3131, (Paper XXVI)

    Muraveva, T., Subramanian, S., Clementini, G., et al. 2018, MNRAS, 473, 3131, (Paper XXVI)

  40. [48]

    L., Olsen, K., Choi, Y ., et al

    Nidever, D. L., Olsen, K., Choi, Y ., et al. 2021, AJ, 161, 74

  41. [49]

    L., Olsen, K., Walker, A

    Nidever, D. L., Olsen, K., Walker, A. R., et al. 2017, AJ, 154, 199

  42. [50]

    L., Rubele, S., et al

    Niederhofer, F., Cioni, M.-R. L., Rubele, S., et al. 2021, MNRAS, 502, 2859, (Paper XLI)

  43. [51]

    L., Schmidt, T., et al

    Niederhofer, F., Cioni, M.-R. L., Schmidt, T., et al. 2022, MNRAS, 512, 5423, (Paper XLVI)

  44. [52]

    2020, MNRAS, 498, 3283

    Pastorelli, G., Marigo, P., Girardi, L., et al. 2020, MNRAS, 498, 3283

  45. [53]

    2019, MNRAS, 485, 5666

    Pastorelli, G., Marigo, P., Girardi, L., et al. 2019, MNRAS, 485, 5666

  46. [54]

    M., van Loon, J

    Pennock, C. M., van Loon, J. T., Anih, J. O., et al. 2022, MNRAS, 515, 6046, (Paper XLIX)

  47. [55]

    M., van Loon, J

    Pennock, C. M., van Loon, J. T., Cioni, M.-R. L., et al. 2025, arXiv e-prints, arXiv:2501.08196, (Paper LI)

  48. [56]

    E., Guandalini, R., Ivanov, V

    Piatti, A. E., Guandalini, R., Ivanov, V . D., et al. 2014, A&A, 570, A74, (Paper XII)

  49. [57]

    E., Ivanov, V

    Piatti, A. E., Ivanov, V . D., Rubele, S., et al. 2016, MNRAS, 460, 383, (Paper XXI)

  50. [58]

    2019, MNRAS, 490, 4975, (Paper XXXV)

    Ragosta, F., Marconi, M., Molinaro, R., et al. 2019, MNRAS, 490, 4975, (Paper XXXV)

  51. [59]

    Rathore, H., Choi, Y ., Olsen, K. A. G., & Besla, G. 2024, arXiv e-prints, arXiv:2410.18182

  52. [60]

    2022, MNRAS, 512, 563, (Paper XLVIII)

    Ripepi, V ., Chemin, L., Molinaro, R., et al. 2022, MNRAS, 512, 563, (Paper XLVIII)

  53. [61]

    L., Moretti, M

    Ripepi, V ., Cioni, M.-R. L., Moretti, M. I., et al. 2017, MNRAS, 472, 808, (Paper XXV)

  54. [62]

    I., et al

    Ripepi, V ., Marconi, M., Moretti, M. I., et al. 2014, MNRAS, 437, 2307, (Paper VIII)

  55. [63]

    I., et al

    Ripepi, V ., Marconi, M., Moretti, M. I., et al. 2016, ApJS, 224, 21, (Paper XIX)

  56. [64]

    I., Marconi, M., et al

    Ripepi, V ., Moretti, M. I., Marconi, M., et al. 2015, MNRAS, 446, 3034, (Paper XIII)

  57. [65]

    I., Marconi, M., et al

    Ripepi, V ., Moretti, M. I., Marconi, M., et al. 2012, MNRAS, 424, 1807, (Paper V)

  58. [66]

    2023, The Messenger, 191, 29

    Romaniello, M., Arnaboldi, M., Barbieri, M., et al. 2023, The Messenger, 191, 29

  59. [67]

    2016, ApJ, 821, 51

    Romita, K., Lada, E., & Cioni, M.-R. 2016, ApJ, 821, 51

  60. [68]

    2015, MNRAS, 449, 639, (Paper XIV)

    Rubele, S., Girardi, L., Kerber, L., et al. 2015, MNRAS, 449, 639, (Paper XIV)

  61. [69]

    2012, A&A, 537, A106, (Paper IV)

    Rubele, S., Kerber, L., Girardi, L., et al. 2012, A&A, 537, A106, (Paper IV)

  62. [70]

    2018, MNRAS, 478, 5017, (Paper XXXI)

    Rubele, S., Pastorelli, G., Girardi, L., et al. 2018, MNRAS, 478, 5017, (Paper XXXI)

  63. [71]

    L., Niederhofer, F., et al

    Schmidt, T., Cioni, M.-R. L., Niederhofer, F., et al. 2020, A&A, 641, A134, (Paper XXXVIII)

  64. [72]

    L., Niederhofer, F., et al

    Schmidt, T., Cioni, M.-R. L., Niederhofer, F., et al. 2022, A&A, 663, A107, (Paper XLV)

  65. [73]

    2024, A&A, 685, A41, (Paper L)

    Sicignano, T., Ripepi, V ., Marconi, M., et al. 2024, A&A, 685, A41, (Paper L)

  66. [74]

    M., Soszy´nski, I., Udalski, A., et al

    Skowron, D. M., Soszy´nski, I., Udalski, A., et al. 2016, Acta Astron., 66, 269

  67. [75]

    F., Cutri, R

    Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 Soszy´nski, I. 2024, Contributions of the Astronomical Observatory Skalnate Pleso, 54, 234

  68. [76]

    A., Li, X., Khakpash, S., et al

    Street, R. A., Li, X., Khakpash, S., et al. 2023, ApJS, 267, 15

  69. [77]

    2017, MNRAS, 467, 2980, (Paper XXIV)

    Subramanian, S., Rubele, S., Sun, N.-C., et al. 2017, MNRAS, 467, 2980, (Paper XXIV)

  70. [78]

    L., et al

    Sun, N.-C., de Grijs, R., Cioni, M.-R. L., et al. 2018, ApJ, 858, 31, (Paper XXIX)

  71. [79]

    2015, A&A, 575, A25

    Sutherland, W., Emerson, J., Dalton, G., et al. 2015, A&A, 575, A25

  72. [80]

    L., van Loon, J

    Tatton, B. L., van Loon, J. T., Cioni, M. R., et al. 2013, A&A, 554, A33, (Paper VII) Article number, page 19 A&A proofs: manuscript no. dr7

  73. [81]

    L., van Loon, J

    Tatton, B. L., van Loon, J. T., Cioni, M. R. L., et al. 2021, MNRAS, 504, 2983, (Paper XL)

  74. [82]

    K., et al

    Udalski, A., Soszy´nski, I., Szyma´nski, M. K., et al. 2008, Acta Astron., 58, 329

  75. [83]

    K., & Szyma´nski, G

    Udalski, A., Szyma´nski, M. K., & Szyma´nski, G. 2015, Acta Astron., 65, 1

  76. [84]

    K., & Thompson, I

    Zaritsky, D., Harris, J., Grebel, E. K., & Thompson, I. B. 2000, ApJ, 534, L53

  77. [85]

    B., Grebel, E

    Zaritsky, D., Harris, J., Thompson, I. B., Grebel, E. K., & Massey, P. 2002, AJ, 123, 855

  78. [86]

    2015, ApJ, 815, 95, (Paper XVIII)

    Zhang, C., Li, C., de Grijs, R., et al. 2015, ApJ, 815, 95, (Paper XVIII)

  79. [87]

    M., Petr-Gotzens, M

    Zivkov, V ., Oliveira, J. M., Petr-Gotzens, M. G., et al. 2018, A&A, 620, A143, (Paper XXXII)

  80. [88]

    zero point

    Zivkov, V ., Oliveira, J. M., Petr-Gotzens, M. G., et al. 2020, MNRAS, 494, 458, (Paper XXXVI) Article number, page 20 M.-R. L. Cioni et al.: The VMC survey – LIII. Data release #7 Fig. A.1. Distribution of VISTA tiles across the LMC area. Tile names refer to LMC row_column. T...

Pith tools

Reviewed August 16, 2026 · model on record in the stance chip above.