the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Calibrating JANUS: an overview of the calibration pipeline and what we learned from the Moon-Earth flyby data
Abstract. JANUS (Jovis Amorum Ac Natorum Undique Scrutator) is the high-resolution multispectral camera on board of the ESA Jupiter Icy Moons Explorer (JUICE). The mission, launched in April 2023, is currently traveling towards the Jovian system where it will characterize Jupiter, its environment and its icy moons, primarily Ganymede. During 19–20 August 2024 JUICE flew by the Moon and the Earth performing a Lunar-Earth Gravity Assist maneuver (LEGA) that provided a unique opportunity to test the instruments in mission-like conditions. In this paper we describe the status of the calibration pipeline applied to JANUS data acquired during LEGA, the lessons learned by the analysis of the calibrated data and the open points.
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Status: final response (author comments only)
- RC1: 'Comment on egusphere-2026-2032', Anonymous Referee #1, 09 Jun 2026
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RC2: 'Comment on egusphere-2026-2032', Anonymous Referee #2, 10 Jun 2026
General comments:
The manuscript presents the statute of the calibration pipeline for JANUS data as it is now, with nice demonstrations including examples of what physical effects and parameters are taken into account, what are the ones not yet taken into account, and what are the effects that have a yet undiscovered origin for further calibration. The paper do not focus on the theoretical calculations behind the calibration, but on the general principes and results of the calibration process. This is an important work for the analysis and interpretation of JANUS data.
I believe that the abstract could be more detailed, including the main findings about the state of the calibration pipeline. The figures are also often not described and explained enough in the text, nor the leaps from the figures to the conclusions to get from them. The paper would gain a lot by being more pedagogic in that sense. The readers of this papers that will work on already calibrated images of JANUS later on may not have all the theoretical knowledge necessary behind each step of the calibration process, so it is important to explain them in a pedagogic way. I understand that the detail of the calibration is to be written in another paper, but it was frustrating at time not to have the details of how many "models" were obtained, to better understand some of the figures.
Please find below my detailed comments:
Comments on main text:
- line 1: There may be a comma after Jovis in the sentence Jovis Amorum.....
- line 21-24: It's better to cut the sentence in 2
- line 88: genuine question : Why not lowering the threshold value described in line 85 then ?
- line 103: I believe a comma between the words "exposure time" and "generating" is necessary, depending on the meaning of your sentence.
- line 109: genuine question :Is there any physical reason why the dependence is assumed to be linear ?
- line 111-113: Please explain each terms of the equation in the text (x0;w1;t0;t1,T...) event if it seems obvious. Also, add the units of the variables in the text if there is one (ex: [K] for T - or [°C])
- line 115: Figure 4 appears in the text before Figure 3. Therefore the figure numbers should be switched. Please, also precise how the average residual is calculated.
- line 117-119: how do you see the contribution of the dark current ? Guide your reader in the interpretation of the figure and its results.
- lines 123-124: on line 123 you divide the proxy by the exposure time. On line 124 it is explained that the proxy is the radiance multiplyed by the exposure time. So in fine you are just using the radiance ? It was very confusing, and the need, use and meaning of a proxy value needs to be better explained
- line 130: what are the spline parameters ? (how many consecutive data points taken into accounts ? is that what the 5 polynomial pieces means ?)
- line 150-151: it is uncertain what is meant by "the latter" (the detector ? the band integrated radiance ?). In general I have trouble getting how it is necessary to correct from the target spectral shape, when it's part of the result
- line 156-158: please add units of S, L, lambda when it applies.
- line 160: Table 3 cited in the text way before table 2. Please change table 2 number, as it is used last.
- line 162: Please write what LIME stands for.
- line 167-169: Please explains what is the I/F, and add the units of each terms in the text. In the equation, [AU] should not figure there, but in the text after d: d is the distance in Astronomical Units (AU).
- line 170: what does MODTRAN stands for ? can you tell more on this solar spectrum ?
- line 173: you could write "and Cfilter=pi.d/Int(E(lambda)dlambda)" of course using the proper mathematical symbols.
- line 174: Table 3 should become Table 2.
- line 236: This is a high phase angle, could it create problems for some photometric corrections models ?
- line 238: genuine question: Should the DTM resolution be adapted to the resolution of the image ?
- line 248: "all lines are captured simultaneously" the formulation is confusing if the meaning is something along "all pixels forming a line are captured/acquired" simultaneously.
- line 251: what is the "attitude" ? Please define it as you talk about it also latter in the text without explaining what that is.
- line 294: Please describe and explain the figures in the text.
- line 298: please explain and define the terms in-field, near-field and out-of-field.
- line 304: "previous case" -- It is unclear if you talk about figure 13 or 14.
- line 305: "same signal on the surface" -- I don't see the surface ? Or what do you means by it ?
- line 306: "0.0012%" - genuine question: is it really linear between acquisition time and DN ?
- line 314: please explain how do you see the 12000DN in fig 16, and how you obtains 0.0083%
- line 323: Describe and explain the figure in the text.
- line 345: please define QE.
- line 353: Table 2 here should have another number as it is its first appearance.
Comments on the figures:
In general, all captions need to be written in a way that the main text is not necessary to understand the figure. A lot of figures are missing labels on the y and x axis, and sometime on the colorbar. There is also a lack of consistency in the direction (toward the left or toward the right) of the x axis in the maps. Please ensure that all figures also are colorblind-friendly (especially the lines plots, and fig. 25). Figures treated in the same section could be regrouped in 1 main figure with subplots.
- Figure 1: The font sizes need to be increased, especially for 'par' and 'cal'. These terms should also be redefined in the caption.
- Figure 2: missing y and x axis labels. The font size needs to be increased. Do you know why the tiles has such a difference in saturation ?
- Figure 3: what are "hot" pixels ? Increase the font size of everything, but especially the legend. The fluo color for the green can be difficult to see on screen. The caption needs to be more detailed: simulated background of what ? simulated profile of what ?
- Figure 5: The figure is way too small, and so is the font.
- Figure 6: add pixels lines and rows in axis labels. Please also recap what is included in the partial calibration.
- Figure 7: I have trouble understanding the full image. What are the white lines ? What is the module of distorsion vector ? And why is the unit in pixels ? when speaking about coordinates, is it a distorsion of the pixel coordinate (row, column) ? or probed space coordinates ? It really need to be better explained.
- Figure 8: please increase the font of "der" and "geo". Define also DEM, and C-kernels.
- Figure 9: suggestion: the word "footprint" may fit better than "case". Remove the line crossing the round and cross data points in the legend
- Figure 10: please increase the font size
- Figure 11: please increase the font size, and add all axis and colorbar labels and units if it applies. for the right plot please check if the chosen color combination is colorblind-friendly. Check consistency of the direction of the x axis with other figures
- Figure 12: add axis labels and a colorbar. Check also the x axis direction. In the caption there is an inversion of blue and orange line. the blank spaces ? Please write it explicitly that the blank spaces are the saturated pixels
- Figure 13: Add axis labels, check x axis direction. join with figure 14. How do you know if the DN values before seeing the surface is due to straylight and not something else ?
- Figure 14: Place the x_sc ( and same for y and z) in more convenient positions that do not hide lines or texts.
- Figure 15: Axis labels + x axis direction
- Figure 16: Axis labels + x axis direction. In the legend, the exposure time is 22.15 ms, which is not consistent with the text ( 0.2215 ms). Is there a target in the image ?
- Figure 17: Increases font size. In the legend, the last 3 colors are the same as the first 3. Check if the image is colorblind-friendly
- Figure 18: Axis labels + x axis direction + font size
- Figure 19 & 20 : Uses the same scale in both DN axis. Labels missings in axis and colorbar. Also check for x axis direction consistensy with other figures
- Figure 21: increase font size, and add y axis label. The dotted lines could be larger
- Figure 22: all words in the legends need to be explained.
- Figure 23: write CAD in full letters
- Figure 24: needs to be explained in details as I do not understand it.
- Figure 25: Checks if the colormap is adapted to colorblindness, and for one of the black line, usedotted lines instead to differentiate them easily. What are the axis labels ?
- Figure 26: Axis labels + font size
Comments on the tables:
- Table 3: Please recall what are S_moon and C_filter in the caption
Citation: https://doi.org/10.5194/egusphere-2026-2032-RC2
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General comments
The manuscript nicely describes the calibration process for the JANUS data, supported by an overview of the existing calibration pipeline flow focusing on the radiometric and geometric calibration. In addition, the study provides an outlook into future already identified improvements to the JANUS calibration pipeline, as well as identifies clearly investigations to be continued on the calibration following effects/artifacts detected in the LEGA data. This is an important work to understand and analyse JANUS data.
In my opinion, the manuscript goes beyond providing an overview of the calibration pipeline and illustrates the calibration process for the JANUS data, which is why 1) I believe that the manuscript would benefit from expanding slightly some of the sections describing by the underlying input data and/or processes to the study (sections 3.2, and 3.5 for example), 2) I would encourage the authors slightly change the wording for the study to refocus the scope on the calibration “process” (rather than “pipeline”, e.g. in the title, main text). Unless the calibration pipeline is released to the science community, I also do not personally see the need to mention “in the next version of the pipeline” in several places in the manuscript.
Please find below my detailed comments.
Comments on main text
Comments on figures
Comments on tables
Bibliography