REVIEW 2 major objections 1 minor 29 references
Six New Variable Stars Discovered from Ground-Based Photometry and Characterized with TESS Data
T0 review · 2 major / 1 minor · reviewed 2026-05-07 · grok-4.3
Pith's one-line read Six new variable stars were discovered in exploratory ground-based observations and characterized using TESS data.
desk verdict Six new variables claimed but the abstract gives no sign of a catalog cross-check, leaving the discovery status unconfirmed. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
Ground-based wide-field photometry combined with TESS light curves for initial detection and precise characterization of stellar variability.
What would settle it
Search of major variable star databases such as VSX shows these stars already listed as known variables, or follow-up photometry detects no significant brightness changes.
Extended reading notes
Core claim
Six previously unknown variable stars were identified through small-telescope photometry of multiple fields, with their light curves extracted and examined for periodic or irregular changes. TESS data provided independent confirmation and detailed characterization of the variability, yielding periods and types. The process relied on field-wide simultaneous measurements and introduced dedicated analysis packages to support the discovery and modeling steps.
Load-bearing premise
The observed brightness changes in the six stars represent real stellar variability and not instrumental artifacts, atmospheric effects, or blending with neighbors.
Editorial extensions
If this is right
- The six stars become available for continued monitoring and classification refinement.
- The photometry workflow can be repeated on additional fields to locate more variables.
- LCV and VS-fit packages support periodogram calculation and light curve fitting for similar projects.
- TESS data serves as a reliable check on ground-based variability detections.
Reading between the lines
- Modest ground-based equipment paired with public space data can still yield new entries for stellar catalogs.
- The method could target under-observed sky regions for specific variability classes such as long-period pulsators.
- Sharing the extracted light curves would enable independent verification and community extensions.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript reports the discovery of six new variable stars identified through exploratory ground-based photometry of several sky fields using a small telescope and CMOS camera. The search used simultaneous photometry of hundreds of objects with AstroImageJ, supplemented by custom Python tools for aperture lists and light-curve visualization. The variables were characterized with TESS data, and the paper describes the analysis workflow including the author's custom software LCV and VS-fit for periodogram analysis and light-curve modelling.
Significance. If the six stars are confirmed as previously unknown and their variability is robustly demonstrated, the work adds a modest number of new entries to the catalog of variable stars and illustrates a practical workflow for small-telescope discovery followed by TESS follow-up. The development of custom tools (LCV, VS-fit) for period analysis could be of use to similar surveys, and the combination of ground-based and space-based data is a strength. However, the overall significance remains limited without explicit validation of novelty and presentation of quantitative results.
major comments (2)
- [Abstract] Abstract: The central claim that the six stars are 'new' variable stars rests on an unverified assumption. The described workflow (AstroImageJ photometry plus custom Python tools) is entirely internal to the author's fields and does not document any cross-match against major variable-star catalogs such as AAVSO VSX, GCVS, or SIMBAD. Without this step, the discovery designation cannot be substantiated.
- [Abstract] Abstract and Data Analysis Workflow section: The text states that 'properties are presented' and that TESS data were used for characterization, yet no specific periods, amplitudes, error bars, or light-curve figures are referenced or described in the provided summary. This absence prevents assessment of whether the observed variations are astrophysical rather than instrumental or blending artifacts.
minor comments (1)
- [Abstract] Abstract: The custom packages LCV and VS-fit are introduced without any statement of public availability, version numbers, or repository links, which would aid reproducibility.
Simulated Author's Rebuttal
We thank the referee for their careful review and constructive comments on our manuscript. We address each major comment below and have revised the manuscript to strengthen the documentation of our analysis and results.
read point-by-point responses
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Referee: [Abstract] Abstract: The central claim that the six stars are 'new' variable stars rests on an unverified assumption. The described workflow (AstroImageJ photometry plus custom Python tools) is entirely internal to the author's fields and does not document any cross-match against major variable-star catalogs such as AAVSO VSX, GCVS, or SIMBAD. Without this step, the discovery designation cannot be substantiated.
Authors: We agree that the manuscript should explicitly document the cross-matching step to substantiate the claim of novelty. Although checks against SIMBAD were performed as part of the initial field selection, this was not described in the original text. In the revised manuscript we have added a new subsection under Data Analysis Workflow that details the cross-match procedure, including the catalogs queried (AAVSO VSX, GCVS, and SIMBAD), the search radius used, and the result that none of the six stars had prior entries. This directly addresses the concern. revision: yes
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Referee: [Abstract] Abstract and Data Analysis Workflow section: The text states that 'properties are presented' and that TESS data were used for characterization, yet no specific periods, amplitudes, error bars, or light-curve figures are referenced or described in the provided summary. This absence prevents assessment of whether the observed variations are astrophysical rather than instrumental or blending artifacts.
Authors: The full manuscript presents the quantitative results in the Data Analysis Workflow section and associated figures, but we acknowledge that the abstract and workflow description did not provide sufficient explicit references. We have revised the abstract to include example periods and amplitudes with uncertainties, added direct citations to the relevant tables and figures (including TESS light curves and VS-fit models), and expanded the workflow section to describe the checks performed for blending and instrumental effects using the TESS pixel data. These changes allow readers to evaluate the astrophysical nature of the variations. revision: yes
Circularity Check
No derivation chain present; pure observational report
full rationale
The paper reports the discovery and characterization of six variable stars from ground-based photometry and TESS data, with no equations, models, predictions, or first-principles derivations. The workflow involves data collection, periodogram analysis via author-developed tools (LCV, VS-fit), and light-curve modeling, but these are procedural steps without any claimed mathematical reduction or self-referential loop. Novelty of the variables is asserted via exploratory search, but this is an empirical claim rather than a derivation that reduces to its inputs by construction. No self-citations, fitted parameters renamed as predictions, or ansatzes appear. The paper is self-contained as an observational note.
Assumptions & free parameters
Cite this review
Pith. "Pith review of Six New Variable Stars Discovered from Ground-Based Photometry and Characterized with TESS Data." pith.science (2026). https://pith.science/paper/2604.27176
@misc{pith2026260427176,
author = {Pith},
title = {Pith review of: Six New Variable Stars Discovered from Ground-Based Photometry and Characterized with TESS Data},
year = {2026},
howpublished = {\url{https://pith.science/paper/2604.27176}},
note = {Machine review of arXiv:2604.27176}
}
read the original abstract
We report the discovery of six new variable stars identified through an exploratory analysis of several sky fields observed by the author using a small telescope and a CMOS camera. The search employed simultaneous photometry of hundreds of objects with AstroImageJ, supplemented by custom Python-based tools developed by the author to generate aperture lists and visualize light curves across the full field of view. The variables were further characterized using TESS data, and their properties are presented. We also describe the data analysis workflow, including the software packages LCV and VS-fit, developed by the author for periodogram analysis and light-curve modelling.
Figures
Figures from the paper (15 more)
Reference graph
Works this paper leans on
-
[1]
Andronov I. L. 1994, Odessa Astronomical Publications , 7 , 49, 1994OAP.....7...49A
work page 1994
-
[2]
Andronov, I. L., & Baklanov, A. V. 2004 Astronomical School's Report , 5 , 264 2004AstSR...5..264A
work page 2004
-
[3]
Andronov I. L. 2020, Knowledge Discovery in Big Data from Astronomy and Earth Observation , 1st Edition. Edited by P. S koda and F. Adam. ISBN: 978-0-128-19154-5. Elsevier, 2020, p.191, 2020kdbd.book..191A
work page 2020
-
[4]
Astropy Collaboration 2013, A&A , 558 , id. A33, 2013A&A...558A..33A
work page 2013
-
[5]
Astropy Collaboration 2018, AJ , 156 , id. 123, 2018AJ....156..123A
work page 2018
-
[6]
Astropy Collaboration 2022, ApJ , 935 , id. 167, 2022ApJ...935..167A
work page 2022
-
[7]
2008, A&A 492 , 277, 2008A&A...492..277B
Bayo, A., Rodrigo, C., Barrado y Navascués, D., et al. 2008, A&A 492 , 277, 2008A&A...492..277B
work page 2008
-
[8]
2000, A&AS , 143 , 33, 2000A&AS..143...33B
Bonnarel, F., Fernique, P., Bienaymé, O., et al. 2000, A&AS , 143 , 33, 2000A&AS..143...33B
work page 2000
Show all 29 references
-
[9]
Bradley, L. et al. 2024, Photutils: Astronomical Source Detection and Photometry, Zenodo software package, https://photutils.readthedocs.io
2024
-
[10]
A., Clayton, G
Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ , 345 , 245, 1989ApJ...345..245C
1989
-
[11]
A., Kielkopf, J
Collins, K. A., Kielkopf, J. F., Stassun, K. G., and Hessman, F. V. 2017, AJ , 153 , id. 77, 2017AJ....153...77C
2017
-
[12]
L., Sordo, R., Pailler, F
Creevey, O. L., Sordo, R., Pailler, F. et al. 2023, A&A , 674 , id. A26, 2023A&A...674A..26C
2023
-
[13]
M., Skrutskie, M
Cutri, R. M., Skrutskie, M. F., van Dyk, S. et al. 2003, VizieR Online Data Catalog: 2MASS All-Sky Catalog of Point Sources , 2003yCat.2246....0C
2003
-
[14]
1981, AJ , 86 , 619, 1981AJ.....86..619F
Ferraz-Mello, S. 1981, AJ , 86 , 619, 1981AJ.....86..619F
1981
-
[15]
Fitzpatrick, E. L. 1999, PASP , 111 , 63, 1999PASP..111...63F
1999
-
[16]
Main source , 2022yCat.1355....0G
Gaia Collaboration 2022, VizieR Online Data Catalog: Gaia DR3 Part 1. Main source , 2022yCat.1355....0G
2022
-
[17]
Variability , 2022yCat.1358....0G
Gaia Collaboration 2022, VizieR Online Data Catalog: Gaia DR3 Part 4. Variability , 2022yCat.1358....0G
2022
-
[18]
A., Levine, S., Terrell, D., & Welch, D
Henden, A. A., Levine, S., Terrell, D., & Welch, D. L. 2015, American Astronomical Society Meeting Abstracts , 225 , id. 336.16, 2015AAS...22533616H
2015
-
[19]
X., Vanderburg, A., Pál, A
Huang, C. X., Vanderburg, A., Pál, A. et al. 2020, RNAAS , 4 , id. 204, 2020RNAAS...4..204H
2020
-
[20]
Intel Corporation 2025, oneAPI Math Kernel Library (oneMKL), https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html
2025
-
[21]
M., Twicken, J
Jenkins, J. M., Twicken, J. D., McCauliff, S. et al. 2016, Proceedings of the SPIE , 9913 , id. 99133E, 2016SPIE.9913E..3EJ
2016
-
[22]
Khalatyan, A., Anders, F., Chiappini, C. et al. 2024, A&A , 691 , id. A98, 2024A&A...691A..98K
2024
-
[23]
Lightkurve Collaboration, Cardoso, J. V. d. M., Hedges, C. et al. 2018, Astrophysics Source Code Library , ascl: 1812.013, 2018ascl.soft12013L
2018
-
[24]
O'Donnell, J. E. 1994, ApJ , 422 , 158, 1994ApJ...422..158O
1994
-
[25]
R., Winn, J
Ricker, G. R., Winn, J. N., Vanderspek, R. et al. 2014, Proceedings of the SPIE , 9143 , id. 914320, 2014SPIE.9143E..20R
2014
-
[26]
Stetson, P. B. 1987, PASP , 99 , 191, 1987PASP...99..191S
1987
-
[27]
E., et al
Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods , 17 , 261, https://doi.org/doi:10.1038/s41592-019-0686-2
2020 doi
-
[28]
2019, ApJ , 877 , id
Wang, S., & Chen, X. 2019, ApJ , 877 , id. 116, 2019ApJ...877..116W
2019
-
[29]
L., Henden, A
Watson, C. L., Henden, A. A., Price, A. 2006, The Society for Astronomical Sciences 25th Annual Symposium on Telescope Science. Held May 23-25, 2006, at Big Bear, CA. Published by the Society for Astronomical Sciences , 25 , 47, 2006SASS...25...47W
2006
Reviewed May 7, 2026 · model on record in the stance chip above.
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