Assessing the Impact of Source Confusion for GREX-PLUS based on Deep JWST NIRCam Imaging
Pith reviewed 2026-05-20 10:08 UTC · model grok-4.3
The pith
Simulations using JWST data show that source confusion will reduce the efficiency of deeper exposures for the GREX-PLUS telescope but still permit statistical studies of faint galaxies.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
By constructing simulated GREX-PLUS images through convolution of JWST NIRCam data with the instrument's PSF plus ghost kernel at two resolution cases, the analysis shows that limiting magnitudes from random aperture photometry are shallower than in the original data, with the gap widening for deeper inputs due to elevated background fluctuations from unresolved faint sources and extended wings. Limiting magnitudes improve with integration time to about 27 mag without a plateau at the planned survey depth, though the rate of improvement decreases at longer times. Monte Carlo simulations reveal that confusion blending lowers detection completeness even well above the nominal depth, yet after
What carries the argument
Convolution of deep JWST NIRCam imaging data with the modeled GREX-PLUS PSF+ghost kernel to create simulated images for assessing source confusion effects on limiting magnitudes and completeness.
If this is right
- Statistical studies of faint galaxies remain feasible with GREX-PLUS.
- Survey planning should account for less efficient depth improvement with longer integrations due to source confusion.
- Confusion-induced blending reduces completeness even at magnitudes brighter than the 5-sigma limit.
- Completeness-corrected number counts agree with those from JWST data down to the detection limit.
Where Pith is reading between the lines
- Optimizing exposure times rather than maximizing them could improve overall survey efficiency.
- The convolution approach might be applied to evaluate confusion in other proposed wide-field infrared surveys.
- Accounting for these effects in advance could refine the design of deep fields for GREX-PLUS.
Load-bearing premise
Convolving the existing JWST NIRCam images with the GREX-PLUS PSF and ghost kernel produces images that faithfully represent the actual future observations including the effects of unresolved faint sources.
What would settle it
Obtaining actual GREX-PLUS observations and finding that the measured limiting magnitudes or completeness levels deviate substantially from those predicted by the convolved simulations would falsify the central claim.
Figures
read the original abstract
We investigate the effects of source confusion expected in observations with GREX-PLUS, a JAXA L-class space infrared telescope mission candidate with a wide-field infrared camera covering 2-8 um with a field of view of 0.50 deg$^2$. For the deep imaging band near 4 um, we calculate the GREX-PLUS PSF and ghost based on the latest optical design, and consider two representative imaging performance cases with PSF FWHM values of 0.9 and 1.2 arcsec. We construct simulated GREX-PLUS images at different depths by convolving JWST NIRCam imaging data from JADES, GLASS, CEERS, and COSMOS-Web with the PSF+ghost kernel. Comparing the limiting magnitudes estimated from random aperture photometry using the same aperture sizes, we find that the simulated GREX-PLUS images are shallower than the original JWST images, with larger deviations for deeper original JWST images. This likely reflects unresolved faint sources and extended PSF+ghost wings from bright sources, which elevate background fluctuations in blank regions. Nevertheless, the limiting magnitudes continue to improve with increasing integration time down to ~27 mag, without a clear plateau at depths comparable to the planned GREX-PLUS deep survey, although the improvement becomes progressively less efficient toward longer integrations. Based on Monte Carlo simulations, we estimate detection completeness and correct the number counts for magnitude bias and incompleteness, finding that confusion-induced blending can reduce the completeness even at magnitudes well above the nominal 5-sigma depth. The completeness-corrected number counts agree well with the JWST-based number counts down to around the detection limit. Overall, our results suggest that statistical studies of faint galaxies remain feasible for GREX-PLUS; however, survey planning should account for less efficient depth improvement toward longer integrations due to source confusion.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper investigates source confusion for GREX-PLUS by simulating images via convolution of JWST NIRCam data from JADES, GLASS, CEERS, and COSMOS-Web with the modeled GREX-PLUS PSF+ghost kernel for FWHM of 0.9 and 1.2 arcsec. It finds simulated images are shallower than JWST, with larger deviations for deeper fields due to unresolved faint sources and PSF wings. Limiting magnitudes improve to ~27 mag without plateau but with decreasing efficiency at longer integrations. Monte Carlo simulations estimate completeness, correct number counts, which agree with JWST counts. Conclusion: statistical studies of faint galaxies feasible for GREX-PLUS but survey planning should account for less efficient depth gains due to confusion.
Significance. This provides useful input for GREX-PLUS survey design, showing confusion impacts but does not preclude deep studies. Strengths include use of real multi-field JWST data and Monte Carlo completeness estimates for empirical assessment of blending effects.
major comments (1)
- [Methods (simulation construction)] The central simulation convolves existing JWST NIRCam imaging data, which imposes a detection threshold and thus excludes galaxies fainter than the JWST limit. While the abstract notes that deviations are likely due to 'unresolved faint sources', there is no explicit correction, extrapolation of the faint-end number counts, or additional simulation component to account for this population. This omission means the measured background fluctuations and completeness estimates are lower bounds, which could lead to an overestimation of the achievable depth improvement and affect the conclusion that no plateau occurs at planned survey depths.
minor comments (2)
- [Abstract] The abstract provides no quantitative uncertainties or error bars on the reported limiting magnitudes, differences, or the ~27 mag value, making it difficult to assess the statistical significance of the findings.
- [Abstract] Validation of the PSF+ghost model against actual on-sky data is not mentioned, which would increase confidence in the convolution kernel's fidelity.
Simulated Author's Rebuttal
We thank the referee for their constructive comments, which help clarify the limitations of our simulation approach. We respond to the major comment below and indicate the revisions we will make.
read point-by-point responses
-
Referee: The central simulation convolves existing JWST NIRCam imaging data, which imposes a detection threshold and thus excludes galaxies fainter than the JWST limit. While the abstract notes that deviations are likely due to 'unresolved faint sources', there is no explicit correction, extrapolation of the faint-end number counts, or additional simulation component to account for this population. This omission means the measured background fluctuations and completeness estimates are lower bounds, which could lead to an overestimation of the achievable depth improvement and affect the conclusion that no plateau occurs at planned survey depths.
Authors: We agree that convolving real JWST data imposes a detection threshold, so our estimated background fluctuations from confusion represent lower bounds; the unresolved population below the JWST limit is not included. The abstract already flags unresolved faint sources as a likely contributor to the observed deviations, but we did not include an explicit extrapolation or additional faint-source component. To address this, we will revise the manuscript by adding a dedicated paragraph in the Methods section that estimates the additional variance using a power-law extrapolation of the faint-end number counts from the literature (e.g., based on deeper JWST or HST constraints). We will also update the Discussion to note that this extra noise would make the depth gains slightly less efficient than reported, while still confirming that no plateau is reached at the planned GREX-PLUS survey depths. These changes will make the conclusions more conservative without altering the overall finding that statistical studies of faint galaxies remain feasible. revision: yes
Circularity Check
No significant circularity
full rationale
The paper's derivation relies on external JWST NIRCam datasets (JADES, GLASS, CEERS, COSMOS-Web) convolved with a PSF+ghost kernel computed from the GREX-PLUS optical design. Limiting magnitudes are measured directly via random aperture photometry on the simulated images, and completeness is obtained from standard Monte Carlo source-injection simulations. No parameters are fitted inside the paper to the reported limiting magnitudes or number counts and then reused as predictions; no self-citations provide load-bearing uniqueness theorems or ansatzes; and no equations reduce the outputs to the inputs by construction. The results are empirical measurements against external benchmarks and remain self-contained.
Axiom & Free-Parameter Ledger
free parameters (1)
- PSF FWHM =
0.9 arcsec and 1.2 arcsec
axioms (1)
- domain assumption JWST NIRCam images from the listed surveys accurately represent the sky source distribution and noise properties for GREX-PLUS confusion simulation
Lean theorems connected to this paper
-
IndisputableMonolith/Foundation/RealityFromDistinction.leanreality_from_one_distinction unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
We construct simulated GREX-PLUS images at different depths by convolving JWST NIRCam imaging data... limiting magnitudes continue to improve with increasing integration time down to ~27 mag, without a clear plateau
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
Works this paper leans on
- [1]
-
[2]
Ashby, M. L. N., Willner, S. P ., Fazio, G. G., et al. 2013, ApJ, 769, 80
work page 2013
-
[3]
Ashby, M. L. N., Caputi, K. I., Cowley, W., et al. 2018, ApJS, 2 37, 39 Astropy Collaboration, Robitaille, T. P ., Tollerud, E. J., et al. 2013, A&A, 558, A33 Astropy Collaboration, Price-Whelan, A. M., Sip ˝ocz, B. M., et al. 2018, AJ, 156, 123 6 IRAF is distributed by the National Optical Astronomy Obser vatory, which is operated by the Association of U...
work page 2018
-
[4]
1996, A&AS, 117, 393 Béthermin, M., Bolatto, A
Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 Béthermin, M., Bolatto, A. D., Boulanger, F., et al. 2024, A& A, 692, A52
work page 1996
-
[5]
Bunker, A. J., Cameron, A. J., Curtis-Lake, E., et al. 2024, A &A, 690, A288
work page 2024
-
[6]
Casey, C. M., Kartaltepe, J. S., Drakos, N. E., et al. 2023, Ap J, 954, 31
work page 2023
- [7]
-
[8]
Condon, J. J. 1974, ApJ, 188, 279 D’Eugenio, F., Cameron, A. J., Scholtz, J., et al. 2025, ApJS , 277, 4
work page 1974
-
[9]
2000, in Society of Photo- Optical Instrumentation Engineers (SPIE) Conference Seri es, V ol
Diolaiti, E., Bendinelli, O., Bonaccini, D., et al. 2000, in Society of Photo- Optical Instrumentation Engineers (SPIE) Conference Seri es, V ol. 4007, Adaptive Optical Systems Technology, ed. P . L. Wizinowich,879–888
work page 2000
- [10]
-
[11]
Dole, H., Rieke, G. H., Lagache, G., et al. 2004, ApJS, 154, 93
work page 2004
-
[12]
Eisenstein, D. J., Johnson, B. D., Robertson, B., et al. 2025 , ApJS, 281, 50
work page 2025
-
[13]
J., Willott, C., Alberts, S., et al
Eisenstein, D. J., Willott, C., Alberts, S., et al. 2026, ApJ S, 283, 6
work page 2026
- [14]
- [15]
-
[16]
Franceschini, A., Toffolatti, L., Danese, L., & de Zotti, G. 1989, ApJ, 344, 35
work page 1989
-
[17]
Franceschini, A., Toffolatti, L., Mazzei, P ., Danese, L., & de Zotti, G. 1991, A&AS, 89, 285
work page 1991
-
[18]
Franco, M., Casey, C. M., Koekemoer, A. M., et al. 2026, ApJ, 9 99, 200
work page 2026
- [19]
-
[20]
Gardner, J. P ., Mather, J. C., Clampin, M., et al. 2006, Space Sci. Rev., 123, 485
work page 2006
-
[21]
Gardner, J. P ., Mather, J. C., Abbott, R., et al. 2023, PASP, 1 35, 068001
work page 2023
-
[22]
Giavalisco, M., Ferguson, H. C., Koekemoer, A. M., et al. 200 4, ApJL, 600, L93 GREX-PLUS Science Team, :, Inoue, A. K., et al. 2023, arXiv e- prints, arXiv:2304.08104
-
[23]
Guo, Y ., Ferguson, H. C., Giavalisco, M., et al. 2013, ApJS, 2 07, 24
work page 2013
-
[24]
Hainline, K. N., Johnson, B. D., Robertson, B., et al. 2024, A pJ, 964, 71
work page 2024
- [25]
-
[26]
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357
work page 2020
-
[27]
Helou, G., & Beichman, C. A. 1990, in Liege International Ast rophysical
work page 1990
-
[28]
Hogg, D. W. 2001, AJ, 121, 1207
work page 2001
-
[29]
Hunter, J. D. 2007, Computing in Science and Engineering, 9, 90
work page 2007
-
[30]
K., Kaneda, H., Y amada, T., et al
Inoue, A. K., Kaneda, H., Y amada, T., et al. 2022, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, V ol. 12180, Space Telescopes and Instrumentation 2022: Optical, Infrared, a nd Millimeter Wave, ed. L. E. Coyle, S. Matsuura, & M. D. Perrin, 121801I
work page 2022
-
[31]
K., Y amamura, I., Suzuki, T., et al
Inoue, A. K., Y amamura, I., Suzuki, T., et al. 2024, in Societ y of Photo- Optical Instrumentation Engineers (SPIE) Conference Seri es, V ol. 13092, Space Telescopes and Instrumentation 2024: Optical, Infra red, and Millimeter Wave, ed. L. E. Coyle, S. Matsuura, & M. D. Perrin, 130920Y
work page 2024
-
[32]
Jeong, W.-S., Pearson, C. P ., Lee, H. M., Pak, S., & Nakagawa, T. 2006, MNRAS, 369, 281
work page 2006
- [33]
-
[34]
Joye, W. A., & Mandel, E. 2003, in Astronomical Society of the Pacific Conference Series, V ol. 295, Astronomical Data Analysis So ftware and Systems XII, ed. H. E. Payne, R. I. Jedrzejewski, & R. N. Hook, 489
work page 2003
- [35]
-
[36]
Laidler, V . G., Papovich, C., Grogin, N. A., et al. 2007, PASP , 119, 1325
work page 2007
-
[37]
Leist, M. T., Packham, C., Rosario, D. J. V ., et al. 2024, AJ, 1 67, 96
work page 2024
-
[38]
Magnelli, B., Popesso, P ., Berta, S., et al. 2013, A&A, 553, A 132
work page 2013
-
[39]
2024, A&A, 690, A2 16 Publications of the Astronomical Society of Japan (2026), Vol
Mascia, S., Roberts-Borsani, G., Treu, T., et al. 2024, A&A, 690, A2 16 Publications of the Astronomical Society of Japan (2026), Vol. 00, No. 0
work page 2024
-
[40]
Matsuhara, H., Wada, T., Matsuura, S., et al. 2006, PASJ, 58, 673
work page 2006
- [41]
-
[42]
McElwain, M. W., Feinberg, L. D., Perrin, M. D., et al. 2023, P ASP, 135, 058001
work page 2023
- [43]
-
[44]
T., Schulz, B., Levenson, L., et al
Nguyen, H. T., Schulz, B., Levenson, L., et al. 2010, A&A, 518 , L5
work page 2010
- [45]
- [46]
- [47]
-
[48]
Rieke, G. H., Y oung, E. T., & Gautier, T. N. 1995, Space Sci. Re v., 74, 17
work page 1995
-
[49]
Rieke, G. H., Y oung, E. T., Engelbracht, C. W., et al. 2004, Ap JS, 154, 25
work page 2004
-
[50]
Rieke, M. J., Kelly, D., & Horner, S. 2005, in Society of Photo - Optical Instrumentation Engineers (SPIE) Conference Seri es, V ol. 5904, Cryogenic Optical Systems and Instruments XI, ed. J. B. Hean ey & L. G. Burriesci, 1–8
work page 2005
-
[51]
Rieke, M. J., Kelly, D. M., Misselt, K., et al. 2023c, PASP, 13 5, 028001 Roman Observations Time Allocation Committee et al. 2025, a rXiv e-prints, arXiv:2505.10574
-
[52]
Skelton, R. E., Whitaker, K. E., Momcheva, I. G., et al. 2014, ApJS, 214, 24
work page 2014
-
[53]
Soifer, B. T., Helou, G., & Werner, M. 2008, ARA&A, 46, 201
work page 2008
-
[54]
Stark, D. P ., Topping, M. W., Endsley, R., & Tang, M. 2026, in Encyclopedia of Astrophysics, V olume 4, V ol. 4, 453–499
work page 2026
-
[55]
Stetson, P . B. 1987, PASP, 99, 191
work page 1987
- [56]
-
[57]
1986, in Society of Photo-Optical InstrumentationEngineers (SPIE) Conference Series, V ol
Tody, D. 1986, in Society of Photo-Optical InstrumentationEngineers (SPIE) Conference Series, V ol. 627, Instrumentation in astronomy VI, ed. D. L. Crawford, 733
work page 1986
-
[58]
1993, in Astronomical Society of the Pacific Confere nce Series, V ol
Tody, D. 1993, in Astronomical Society of the Pacific Confere nce Series, V ol. 52, Astronomical Data Analysis Software and Systems II , ed. R. J
work page 1993
-
[59]
2023, High-level science products prod uced by the GLASS-JWST team, doi:10.17909/KW3C-N857
Treu, T., & Paris, D. 2023, High-level science products prod uced by the GLASS-JWST team, doi:10.17909/KW3C-N857
-
[60]
2022, ApJ, 935, 110 Väisänen, P ., Tollestrup, E
Treu, T., Roberts-Borsani, G., Bradac, M., et al. 2022, ApJ, 935, 110 Väisänen, P ., Tollestrup, E. V ., & Fazio, G. G. 2001, MNRAS, 325, 1241
work page 2022
- [61]
-
[62]
J., Vulcani, B., Treu, T., et al
Watson, P . J., Vulcani, B., Treu, T., et al. 2025, A&A, 699, A225
work page 2025
- [63]
discussion (0)
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