REVIEW 3 major objections 4 minor 107 references
Dust production rates in Jupiter-family comets II: Trends and population insights from ATLAS photometry of 116 JFCs
T0 review · 3 major / 4 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read By measuring the dust proxy A(0°)fρ in 116 Jupiter-family comets over four years, this paper establishes that the pre-perihelion activity index is on average steeper than the post-perihelion index, and that the two distributions differ…
desk verdict Largest homogeneous JFC Afρ dataset; the headline pre/post activity-index asymmetry is real-looking but the K-S test used to 'confirm' it violates independent-sample assumptions. 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
The carrying object is the activity index n, defined by the power law A(0°)fρ ∝ (R_h)^n, where A(0°)fρ is the dust production proxy: the product of dust grain albedo A, filling factor f, and aperture radius ρ, corrected to zero phase angle using the Schleicher-Marcus dust phase function. The index is extracted by least-squares fits to pre- and post-perihelion ATLAS photometry, with selection criteria of at least six nights of data spanning ΔR_h ≥ 0.15 au and SNR > 7. The statistical claim rests on a two-sample Kolmogorov-Smirnov test comparing the two distributions of n across the combined four-year sample.
What would settle it
Recompute the two-sample K-S test on a dataset in which each comet contributes at most one activity index (for example, randomly selecting the pre- or post-perihelion value) and in which the fitted heliocentric distance ranges are matched between the two legs; if the p-value rises above 0.05, the claimed asymmetry is an artifact of the non-independent samples.
Extended reading notes
Core claim
On the paper's own terms, the discovery is that Jupiter-family comets show a statistically significant asymmetry in their dust activity around perihelion: fitting A(0°)fρ ∝ (R_h)^n separately to the inbound and outbound legs yields mean activity indices of n = -5.2±4.5 pre-perihelion and n = -3.2±2.7 post-perihelion, and the two samples are drawn from different distributions (K-S d = 0.29, p = 0.015). The authors conclude that JFCs typically exhibit a shallower activity index post-perihelion than pre-perihelion, meaning dust production grows more rapidly with decreasing heliocentric distance than it falls off with increasing distance. They interpret the lag and the asymmetry as consistent with low-thermal-inertia nuclei, slow-moving large grains lingering in the photometric aperture, and seasonal exposure of volatile patches.
Load-bearing premise
The statistical significance of the asymmetry rests on the assumption that the pre- and post-perihelion activity indices are independent samples, even though many comets appear in both samples and the indices are fit over different heliocentric distance ranges, some anchored to the time of maximum activity rather than to perihelion.
Editorial extensions
If this is right
- If the asymmetry is real, single-power-law models of JFC activity that assume symmetric behavior around perihelion will systematically mispredict dust production on the outbound leg.
- The peak dust production occurring post-perihelion, within 10% of orbital period, means that surveys sampling only near perihelion may miss the epoch of maximum mass loss.
- The ~9% per-perihelion outburst rate, with average brightening of 1.3 magnitudes, provides a baseline for estimating how often JFCs undergo sudden mass release.
- The lack of correlation between intrinsic activity at 2 au and perihelion distance suggests that nucleus properties, not orbit, set the dust production level.
Reading between the lines
- A natural extension the paper does not pursue is a paired analysis using only comets with both pre- and post-perihelion indices, which would remove the non-independence concern in the K-S test and give a cleaner estimate of the typical asymmetry.
- If the asymmetry reflects slow-moving large grains lingering in the 10,000 km aperture, then smaller apertures or aperture-growth photometry should reduce the effect; this is a testable prediction.
- The claim that activity peaks within 10% of the orbital period could be combined with thermal modeling to estimate how much of the surface is active and to forecast activity for newly discovered JFCs.
- The absence of comets with very late peak activity hints that such behavior is rare, possibly because it requires both low eccentricity and favorable seasonal illumination, a demographic prediction future surveys can check.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper presents ATLAS photometry of 74 Jupiter-family comets reaching perihelion in 2022 and 2023, combined with the authors' Paper I sample to yield 116 JFCs observed over 2020-2023. Using the Afρ parameter, the authors measure dust production rates as a function of heliocentric distance, derive pre- and post-perihelion activity indices n defined by A(0°)fρ ∝ R_h^n, and report that the pre-perihelion distribution of n is steeper on average than the post-perihelion distribution (−5.2±4.5 vs −3.2±2.7), with a two-sample Kolmogorov-Smirnov test giving d=0.29 and p=0.015. Additional results include the timing of maximum dust production relative to perihelion and orbital period, nuclear radius upper limits for 444P and 459P, a comparison of 67P photometry with the literature, and the identification of six new outbursts. The headline population-level claim is the statistically significant pre/post asymmetry in activity indices.
Significance. If the pre/post asymmetry in activity indices is real, this would be the first statistically significant population-level confirmation for JFCs that dust production declines more slowly after perihelion than it rises before perihelion, with implications for dust lifetimes, coma evolution, and nucleus surface processes. The paper is also a substantial empirical contribution: 116 JFCs observed with a single survey, a consistent aperture and phase-correction scheme, explicit gas-contamination checks via c−o colors, and public photometry on Zenodo. The comparison with 67P/Gardener et al. is careful and informative. However, the central statistical claim currently rests on a test whose assumptions are violated by the data structure, so the significance assessment is provisional.
major comments (3)
- [§4.4, Figure 8, Table 3] The two-sample K-S test (d=0.29, p=0.015) assumes that the pre-perihelion and post-perihelion samples of n are independent. Table 3 shows that a large fraction of comets contribute both a pre- and a post-perihelion n (e.g., 19P, 22P, 67P, 103P, 104P, 117P, 118P, 237P, 244P, 327P, 408P, and P/2022 L3). For these comets, the two n values are measured from the same comet and share nucleus properties, observing geometry, and fitting systematics, so the two samples are not independent. The standard K-S null distribution is therefore not valid, and the reported p=0.015 is likely anti-conservative. The authors should replace or supplement this test with a paired analysis (Wilcoxon signed-rank test or paired permutation test on comets with both n values) and should also propagate the quoted uncertainties on n, for example by a bootstrap that resamples n from its error bars. The effective number of independent comets should be reported.
- [§4.4] The text states that for several JFCs the activity index was measured relative to maximum activity rather than perihelion, and the caption of Figure 8(b) says 'Post-perihelion/post-maximum'. The pre/post labels are therefore not defined in the same way for all comets. Since the delay between perihelion and maximum activity is itself correlated with orbital properties (Section 4.1), mixing the two definitions can introduce a systematic bias into the comparison that is unrelated to the intended pre/post asymmetry. The authors should state how many comets were measured relative to maximum activity, list them, and rerun the population comparison excluding those objects or treating them as a separate group.
- [§4.5, Figure 9] The conclusion that there is no correlation between intrinsic activity at 2 au and perihelion distance rests on values extrapolated from large heliocentric distances for high-q comets. The authors themselves note this bias ('the resulting A(0°)fρ values tend to be disproportionately higher') and caution that the projected values for q>2 au should be treated with caution. As presented, this is a qualitative caveat, not a quantitative robustness check. To support the null conclusion, the authors should recompute the correlation using only comets with q<2 au, or only comets whose 2-au values are interpolated rather than extrapolated, and report whether the conclusion survives.
minor comments (4)
- [§4.3] The text refers to '9P/Kowal 1', but the comet discussed is 99P/Kowal 1; this typo should be corrected (the same error appears in the conclusion item listing distant-activity comets).
- [Abstract] The abstract says 'Fitting A(0)fp as a function of Rh^n'; the symbol should be A(0°)fρ for consistency with the body text.
- [Table 3] Dashes in the A(0°)fρ and n columns are used to indicate missing values, but the table caption does not define the dash; add a note that a dash means no measurable activity index for that phase.
- [§4.1] The sentence '9P/Kowal 1' also appears in the list of comets with maximum activity more than 100 days after perihelion; the intended object is 99P/Kowal 1, as confirmed by Table 2 and Figure 5.
Circularity Check
No significant circularity: activity-index fits and the pre/post-perihelion comparison are self-contained statistical measurements.
full rationale
The paper's central claim is a statistical comparison of fitted activity indices n, not a quantity defined in terms of the conclusion. Each n is obtained by a least-squares fit of A(0)frho ∝ Rh^n to ATLAS photometry (Section 4.4, Equation 4), and the pre-perihelion versus post-perihelion distributions are then compared with a two-sample Kolmogorov-Smirnov test. The asymmetry is not imposed by the fitting procedure or by the definition of n; it emerges from the measured photometry. The 2022-2023 data are new, and although the methodology and 2020-2021 data are inherited from Paper I (Gillan et al. 2024), the central result here—the statistically significant difference with 56 JFCs—is a new, independently derived comparison on the combined dataset. The nuclear radius upper limits assume only a geometric albedo, not the activity-index result. The 'within 10% of orbital period' finding is a direct measurement of timing relative to perihelion, not an input to any model. Concerns about the K-S test's independence assumption or the unequal heliocentric distance ranges are statistical validity issues, not circularity: they do not show that any equation reduces to its own inputs or that a fitted parameter is renamed a prediction. No step in the derivation chain is self-referential in a load-bearing way, and the work is self-contained against the ATLAS data it analyzes.
Assumptions & free parameters
free parameters (4)
- ATLAS magnitude limit for target selection =
19.5 mag
- c-band to o-band dust color scaling =
6%
- Per-comet activity index n =
Range -12.5 to 5.5 (pre) and -8.0 to 1.3 (post), Table 3
- Photometric aperture radius =
10,000 km
assumptions (6)
- domain assumption Afρ is a valid proxy for relative dust production and is related to Qd by Qd = Afρ * 4π rd σd vd / (3 p_o) under assumed grain properties
- domain assumption The activity index power law A(0)fρ ∝ R_h^n holds over the observed heliocentric distance ranges
- domain assumption The Schleicher-Marcus dust phase function correctly corrects Afρ to zero phase angle for all JFCs
- domain assumption A geometric albedo of 0.04 applies to the nuclei of 444P and 459P
- ad hoc to paper Pre- and post-perihelion activity index samples are independent for the K-S test
- domain assumption ATLAS detection limits and target selection do not bias population-level conclusions
Cite this review
Pith. "Pith review of Dust production rates in Jupiter-family comets II: Trends and population insights from ATLAS photometry of 116 JFCs." pith.science (2026). https://pith.science/paper/EUE5WBPO
@misc{pith2026250609192,
author = {Pith},
title = {Pith review of: Dust production rates in Jupiter-family comets II: Trends and population insights from ATLAS photometry of 116 JFCs},
year = {2026},
howpublished = {\url{https://pith.science/paper/EUE5WBPO}},
note = {Machine review of arXiv:2506.09192}
}
read the original abstract
Jupiter-family comets (JFCs) have orbital periods of less than 20 years and therefore undergo more frequent sublimation compared to other comet populations. The JFCs therefore represent the ideal dynamical population for investigating the dust production rates at high-cadence. We analyzed observations by the Asteroid Terrestrial-impact Last Alert System (ATLAS) of 74 JFCs that reached perihelion in 2022 and 2023. The work contained in this study builds upon our previous work (Gillan et al. 2024), for a total of 116 JFCs over a four-year period. Using the Afrho parameter, we measured the dust production rates of each JFC as a function of heliocentric distance. We found that there remained a clear preference for JFCs to reach their maximum A(0)frho post-perihelion, with 170P/Christensen, 254P/McNaught and P/2020 WJ5 (Lemmon) reaching a maximum A(0)frho between 200-400 days after perihelion. However, all JFCs reached their maximum dust production within 10% of their orbital period relative to perihelion. Fitting A(0)fp as a function of Rh^n, we measured statistically significant differences in the distribution of pre-perihelion and post-perihelion activity index n, with average activity indices of -5.2 +/- 4.5 and -3.2 +/- 2.7 respectively. We derived upper limits for the nuclear radii of comets 444P/WISE-PANSTARRS and 459P/Catalina as Rn \leq 1.5 +/- 0.2 km and Rn \leq 1.7 +/- 0.1 km respectively. We measured six outbursts in comets 97P/Metcalf-Brewington, 99P/Kowal 1, 118P/Shoemaker-Levy 4, 285P/LINEAR and 382P/Larson. From our four years of observing JFC outbursts in the ATLAS data, the average increase in magnitude was - 1.3 +/- 0.8.
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Works this paper leans on
-
[1]
Agarwal, J., Della Corte, V., Feldman, P. D., et al. 2017, MNRAS, 469, s606, doi: 10.1093/mnras/stx2386 A’Hearn, M. F., & Cowan, J. J. 1980, Moon and Planets, 23, 41, doi: 10.1007/BF00897579 A’Hearn, M. F., Millis, R. C., Schleicher, D. O., Osip, D. J., & Birch, P. V. 1995, Icarus, 118, 223, doi: 10.1006/icar.1995.1190 A’Hearn, M. F., Schleicher, D. G., M...
arXiv 2017
-
[2]
Moulane, Y. 2024, Journal of Astrophysics and Astronomy, 45, 11, doi: 10.1007/s12036-024-09996-6 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068 Astropy Collaboration, Price-Whelan, A. M., Lim, P. L., et al. 2022, ApJ, 935, 167, doi: 10.3847/1538-4357/ac7c74
-
[3]
M., Stevenson, R., Kramer, E., et al
Bauer, J. M., Stevenson, R., Kramer, E., et al. 2015, ApJ, 814, 85, doi: 10.1088/0004-637X/814/2/85
-
[4]
2017, MNRAS, 469, S404, doi: 10.1093/mnras/stx1850
Bertini, I., La Forgia, F., Tubiana, C., et al. 2017, MNRAS, 469, S404, doi: 10.1093/mnras/stx1850
-
[5]
2019, MNRAS, 482, 2924, doi: 10.1093/mnras/sty2843 24
Bertini, I., La Forgia, F., Fulle, M., et al. 2019, MNRAS, 482, 2924, doi: 10.1093/mnras/sty2843 24
-
[6]
S., Diepvens, A., & de Sousa, O
Betzler, A. S., Diepvens, A., & de Sousa, O. F. 2023, MNRAS, 526, 246, doi: 10.1093/mnras/stad2696
-
[7]
2024, MNRAS, 531, 3912, doi: 10.1093/mnras/stae1412
Boehnhardt, H., Lara, L., Gray, Z., & Bagnulo, S. 2024, MNRAS, 531, 3912, doi: 10.1093/mnras/stae1412
-
[8]
2016, MNRAS, 462, S376, doi: 10.1093/mnras/stw2859
Boehnhardt, H., Riffeser, A., Kluge, M., et al. 2016, MNRAS, 462, S376, doi: 10.1093/mnras/stw2859
Show all 107 references
-
[9]
2022, Icarus, 372, 114752, doi: 10.1016/j.icarus.2021.114752
Borysenko, S., Kokhirova, G., & Rakhmatullaeva, F. 2022, Icarus, 372, 114752, doi: 10.1016/j.icarus.2021.114752
2022
-
[10]
2022, astropy/photutils: 1.5.0, 1.5.0, Zenodo, doi: 10.5281/zenodo.6825092
Bradley, L., Sip˝ ocz, B., Robitaille, T., et al. 2022, astropy/photutils: 1.5.0, 1.5.0, Zenodo, doi: 10.5281/zenodo.6825092
2022 doi
-
[11]
2006, Science, 314, 1711, doi: 10.1126/science.1135840
Brownlee, D., Tsou, P., Al´ eon, J., et al. 2006, Science, 314, 1711, doi: 10.1126/science.1135840
2006 doi
-
[12]
J., Hicks, M
Buratti, B. J., Hicks, M. D., Soderblom, L. A., et al. 2004, Icarus, 167, 16, doi: 10.1016/j.icarus.2003.05.002
2004 doi
-
[13]
C., Troll, V
Carracedo, J. C., Troll, V. R., Day, J. M. D., et al. 2022, Geology Today, 38, 94, doi: https://doi.org/10.1111/gto.12388
2022 doi
- [14]
-
[15]
L., Barker, E
Cochran, A. L., Barker, E. S., & Gray, C. L. 2012, Icarus, 218, 144, doi: 10.1016/j.icarus.2011.12.010
2012 doi
-
[16]
L., Levasseur-Regourd, A.-C., Cordiner, M., et al
Cochran, A. L., Levasseur-Regourd, A.-C., Cordiner, M., et al. 2015, SSRv, 197, 9, doi: 10.1007/s11214-015-0183-6 De Sanctis, M. C., Lasue, J., & Capria, M. T. 2010, AJ, 140, 1, doi: 10.1088/0004-6256/140/1/1
2015 doi
-
[17]
2013, PASP, 125, 357, doi: 10.1086/670337
Denneau, L., Jedicke, R., Grav, T., et al. 2013, PASP, 125, 357, doi: 10.1086/670337
2013 doi
-
[18]
1981, in ESA Special Publication, Vol
Divine, N. 1981, in ESA Special Publication, Vol. 174, The Comet Halley. Dust and Gas Environment, ed. B. Battrick & E. Swallow, 47–53
1981
-
[19]
M., Schwamb, M
Dobson, M. M., Schwamb, M. E., Benecchi, S. D., et al. 2023, PSJ, 4, 75, doi: 10.3847/PSJ/acc463
2023 doi
- [20]
-
[21]
1988, ApJL, 328, L69, doi: 10.1086/185162
Duncan, M., Quinn, T., & Tremaine, S. 1988, ApJL, 328, L69, doi: 10.1086/185162
1988 doi
-
[22]
2019, AJ, 158, 7, doi: 10.3847/1538-3881/ab1d50
Ehlert, S., Moticska, N., & Egal, A. 2019, AJ, 158, 7, doi: 10.3847/1538-3881/ab1d50
2019 doi
-
[23]
L., Knight, M
Eisner, N. L., Knight, M. M., Snodgrass, C., et al. 2019, AJ, 157, 186, doi: 10.3847/1538-3881/ab0f42
2019 doi
-
[24]
R., Groussin, O., Thomas, N., et al
El-Maarry, M. R., Groussin, O., Thomas, N., et al. 2017, Science, 355, 1392, doi: 10.1126/science.aak9384
2017 doi
-
[25]
L., Bodewits, D., Li, J
Farnham, T. L., Bodewits, D., Li, J. Y., et al. 2013, Icarus, 222, 540, doi: 10.1016/j.icarus.2012.06.019
2013 doi
-
[26]
L., Kelley, M
Farnham, T. L., Kelley, M. S. P., Knight, M. M., & Feaga, L. M. 2019, ApJL, 886, L24, doi: 10.3847/2041-8213/ab564d
2019 doi
-
[27]
2009, Icarus, 201, 311, doi: 10.1016/j.icarus.2008.12.044
Fink, U. 2009, Icarus, 201, 311, doi: 10.1016/j.icarus.2008.12.044
2009 doi
-
[28]
2018, Icarus, 309, 265, doi: 10.1016/j.icarus.2018.03.011
Fink, U., & Doose, L. 2018, Icarus, 309, 265, doi: 10.1016/j.icarus.2018.03.011
2018 doi
-
[29]
2012, Icarus, 221, 721, doi: 10.1016/j.icarus.2012.09.001
Fink, U., & Rubin, M. 2012, Icarus, 221, 721, doi: 10.1016/j.icarus.2012.09.001
2012 doi
-
[30]
P., Schlafly, E
Finkbeiner, D. P., Schlafly, E. F., Schlegel, D. J., et al. 2016, ApJ, 822, 66, doi: 10.3847/0004-637X/822/2/66
2016 doi
-
[31]
2010, A&A, 522, A63, doi: 10.1051/0004-6361/201014928
Fulle, M., Colangeli, L., Agarwal, J., et al. 2010, A&A, 522, A63, doi: 10.1051/0004-6361/201014928
2010 doi
-
[32]
2018, MNRAS, 476, 2835, doi: 10.1093/mnras/sty464
Fulle, M., Bertini, I., Della Corte, V., et al. 2018, MNRAS, 476, 2835, doi: 10.1093/mnras/sty464
2018 doi
-
[33]
2022, MNRAS, 517, 4305, doi: 10.1093/mnras/stac2995
Gardener, D., Snodgrass, C., & Ligier, N. 2022, MNRAS, 517, 4305, doi: 10.1093/mnras/stac2995
2022 doi
-
[34]
Masiero, J. R. 2023, PSJ, 4, 3, doi: 10.3847/PSJ/aca8ac
2023 doi
-
[35]
F., Fitzsimmons, A., Denneau, L., et al
Gillan, A. F., Fitzsimmons, A., Denneau, L., et al. 2024, PSJ, 5, 25, doi: 10.3847/PSJ/ad1394
2024 doi
-
[36]
2007, SSRv, 128, 1, doi: 10.1007/s11214-006-9140-8
Glassmeier, K.-H., Boehnhardt, H., Koschny, D., K¨ uhrt, E., & Richter, I. 2007, SSRv, 128, 1, doi: 10.1007/s11214-006-9140-8
2007 doi
-
[37]
2009, Icarus, 199, 568, doi: 10.1016/j.icarus.2008.07.015
Groussin, O., Lamy, P., Toth, I., et al. 2009, Icarus, 199, 568, doi: 10.1016/j.icarus.2008.07.015
2009 doi
-
[38]
2015, Science, 347, aaa0709, doi: 10.1126/science.aaa0709 Harrington Pinto, O., Womack, M., Fernandez, Y., &
Gulkis, S., Allen, M., von Allmen, P., et al. 2015, Science, 347, aaa0709, doi: 10.1126/science.aaa0709 Harrington Pinto, O., Womack, M., Fernandez, Y., &
2015 doi
-
[39]
2022, PSJ, 3, 247, doi: 10.3847/PSJ/ac960d
Bauer, J. 2022, PSJ, 3, 247, doi: 10.3847/PSJ/ac960d
2022 doi
-
[40]
R., Millman, K
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357, doi: 10.1038/s41586-020-2649-2
2020 doi
-
[41]
N., Tonry, J
Heinze, A. N., Tonry, J. L., Denneau, L., et al. 2018, AJ, 156, 241, doi: 10.3847/1538-3881/aae47f
2018 doi
-
[42]
E., Knight, M
Holt, C. E., Knight, M. M., Kelley, M. S. P., et al. 2024, PSJ, 5, 273, doi: 10.3847/PSJ/ad8e38
2024 doi
-
[43]
Pollacco, D. L. 2010, MNRAS, 407, 1784, doi: 10.1111/j.1365-2966.2010.17016.x
2010
-
[44]
Hughes, D. W. 1990, QJRAS, 31, 69
1990
-
[45]
Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90, doi: 10.1109/MCSE.2007.55
2007 doi
-
[46]
G., Fitzsimmons, A., & Snodgrass, C
Hyland, M. G., Fitzsimmons, A., & Snodgrass, C. 2019, MNRAS, 484, 1347, doi: 10.1093/mnras/stz075
2019 doi
-
[47]
2018, Icarus, 313, 1, doi: 10.1016/j.icarus.2018.05.008
Ivanova, O., Reshetnyk, V., Skorov, Y., et al. 2018, Icarus, 313, 1, doi: 10.1016/j.icarus.2018.05.008
2018 doi
-
[48]
V., Skorov, Y
Ivanova, O. V., Skorov, Y. V., Korsun, P. P., Afanasiev, V. L., & Blum, J. 2011, Icarus, 211, 559, doi: 10.1016/j.icarus.2010.10.026
2011 doi
-
[49]
1990, ApJ, 351, 277, doi: 10.1086/168463 —
Jewitt, D. 1990, ApJ, 351, 277, doi: 10.1086/168463 —. 1996, Earth Moon and Planets, 72, 185, doi: 10.1007/BF00117517 25
1990 doi
-
[50]
Kelley, M. S. P., Lister, T., Zwicky Transient Facility Collaboration, & LCO Outbursting Objects Key Project. 2022, The Astronomer’s Telegram, 15544, 1
2022
-
[51]
R., Hurst, G., & James, N
Kidger, M. R., Hurst, G., & James, N. 1997, Earth Moon and Planets, 78, 169, doi: 10.1023/A:1006228113533
1997 doi
-
[52]
2016, in Positioning and Power in Academic Publishing: Players, Agents and Agendas, ed
Kluyver, T., Ragan-Kelley, B., P´ erez, F., et al. 2016, in Positioning and Power in Academic Publishing: Players, Agents and Agendas, ed. F. Loizides & B. Schmidt, IOS Press, 87 – 90
2016
-
[53]
M., A’Hearn, M
Knight, M. M., A’Hearn, M. F., Biesecker, D. A., et al. 2010, AJ, 139, 926, doi: 10.1088/0004-6256/139/3/926
2010 doi
- [54]
-
[55]
M., Snodgrass, C., Vincent, J.-B., et al
Knight, M. M., Snodgrass, C., Vincent, J.-B., et al. 2017, MNRAS, 469, S661, doi: 10.1093/mnras/stx2472 K¨ uppers, M., Bertini, I., Fornasier, S., et al. 2005, Nature, 437, 987, doi: 10.1038/nature04236
2017 doi
-
[56]
2009, A&A, 508, 1045, doi: 10.1051/0004-6361/200811462
Jorda, L. 2009, A&A, 508, 1045, doi: 10.1051/0004-6361/200811462
2009 doi
-
[57]
E., & Smith, G
Langland-Shula, L. E., & Smith, G. H. 2007, ApJL, 664, L119, doi: 10.1086/520839
2007 doi
-
[58]
M., Lin, Z
Lara, L. M., Lin, Z. Y., & Meech, K. 2011, A&A, 532, A87, doi: 10.1051/0004-6361/201116892
2011 doi
-
[59]
F., & Duncan, M
Levison, H. F., & Duncan, M. J. 1997, Icarus, 127, 13, doi: 10.1006/icar.1996.5637
1997
- [60]
-
[61]
2009, A&A, 507, 1667, doi: 10.1051/0004-6361/200913116
Licandro, J., Campins, H., Kelley, M., et al. 2009, A&A, 507, 1667, doi: 10.1051/0004-6361/200913116
2009 doi
-
[62]
2023, PASJ, 75, 462, doi: 10.1093/pasj/psad012
Lin, Z.-Y. 2023, PASJ, 75, 462, doi: 10.1093/pasj/psad012
2023 doi
-
[63]
C., & Fitzsimmons, A
Lowry, S. C., & Fitzsimmons, A. 2001, A&A, 365, 204, doi: 10.1051/0004-6361:20000180
2001 doi
-
[64]
C., Fitzsimmons, A., & Collander-Brown, S
Lowry, S. C., Fitzsimmons, A., & Collander-Brown, S. 2003, A&A, 397, 329, doi: 10.1051/0004-6361:20021486
2003 doi
-
[65]
P., & Chen, W
Ma, Y., Williams, I. P., & Chen, W. 2002, MNRAS, 337, 1081, doi: 10.1046/j.1365-8711.2002.05996.x
2002
-
[66]
A., Schlafly, E
Magnier, E. A., Schlafly, E. F., Finkbeiner, D. P., et al. 2020, ApJS, 251, 6, doi: 10.3847/1538-4365/abb82a
2020 doi
-
[67]
S., Boakes, P
Mannel, T., Bentley, M. S., Boakes, P. D., et al. 2019, A&A, 630, A26, doi: 10.1051/0004-6361/201834851
2019 doi
-
[68]
2020, Frontiers in Physics, 8, 227, doi: 10.3389/fphy.2020.00227
Marschall, R., Markkanen, J., Gerig, S.-B., et al. 2020, Frontiers in Physics, 8, 227, doi: 10.3389/fphy.2020.00227
2020
-
[69]
B., et al
Marshall, D., Groussin, O., Vincent, J. B., et al. 2018, A&A, 616, A122, doi: 10.1051/0004-6361/201833104
2018 doi
-
[70]
H., & Agarwal, J
Mastropietro, M., Kim, Y., Hsieh, H. H., & Agarwal, J. 2024, A&A, 690, A298, doi: 10.1051/0004-6361/202451090
2024 doi
-
[71]
2010, in Proceedings of the 9th Python in Science Conference, Vol
McKinney, W., et al. 2010, in Proceedings of the 9th Python in Science Conference, Vol. 445, Austin, TX, 51–56
2010
-
[72]
J., & Svoren, J
Meech, K. J., & Svoren, J. 2004, in Comets II, ed. M. C
2004
-
[73]
J., Pittichov´ a, J., Yang, B., et al
Meech, K. J., Pittichov´ a, J., Yang, B., et al. 2011, Icarus, 213, 323, doi: 10.1016/j.icarus.2011.02.016
2011 doi
-
[74]
A., Szab´ o, G
Milani, G. A., Szab´ o, G. M., Sostero, G., et al. 2007, Icarus, 187, 276, doi: 10.1016/j.icarus.2006.10.014
2007 doi
-
[75]
A., Mottola, S., et al
Miles, R., Faillace, G. A., Mottola, S., et al. 2016, Icarus, 272, 327, doi: 10.1016/j.icarus.2015.11.019
2016 doi
-
[76]
2014, ApJ, 791, 118, doi: 10.1088/0004-637X/791/2/118
Moreno, F., Pozuelos, F., Aceituno, F., et al. 2014, ApJ, 791, 118, doi: 10.1088/0004-637X/791/2/118
2014 doi
-
[77]
2017, MNRAS, 469, S222, doi: 10.1093/mnras/stx1591
Opitom, C., Snodgrass, C., Fitzsimmons, A., et al. 2017, MNRAS, 469, S222, doi: 10.1093/mnras/stx1591
2017 doi
-
[78]
2002, Earth Moon and Planets, 89, 27, doi: 10.1023/A:1021577915502
Prialnik, D. 2002, Earth Moon and Planets, 89, 27, doi: 10.1023/A:1021577915502
2002 doi
- [79]
-
[80]
M., Sip˝ ocz, B., G¨ unther, H., et al
Price-Whelan, A. M., Sip˝ ocz, B., G¨ unther, H., et al. 2018, The Astronomical Journal, 156, 123
2018
-
[81]
1990, ApJ, 355, 667, doi: 10.1086/168800
Quinn, T., Tremaine, S., & Duncan, M. 1990, ApJ, 355, 667, doi: 10.1086/168800
1990 doi
-
[82]
2010, Composite Dust Phase Function for Comets
Schleicher, D. 2010, Composite Dust Phase Function for Comets. https://asteroid.lowell.edu/comet/dustphase details.html
2010
-
[83]
Schleicher, D. G. 2007, Icarus, 190, 406, doi: 10.1016/j. icarus.2007.04.01310.1016/j.icarus.2007.04.039 —. 2008, AJ, 136, 2204, doi: 10.1088/0004-6256/136/5/2204
2007 arXiv
- [84]
-
[85]
P., Keihm, S., von Allmen, P., et al
Schloerb, F. P., Keihm, S., von Allmen, P., et al. 2015, A&A, 583, A29, doi: 10.1051/0004-6361/201526152
2015 doi
-
[86]
E., Jones, R
Schwamb, M. E., Jones, R. L., Yoachim, P., et al. 2023, ApJS, 266, 22, doi: 10.3847/1538-4365/acc173
2023 doi
-
[87]
L., et al
Sierks, H., Barbieri, C., Lamy, P. L., et al. 2015, Science, 347, aaa1044, doi: 10.1126/science.aaa1044
2015 doi
-
[88]
W., Smartt, S
Smith, K. W., Smartt, S. J., Young, D. R., et al. 2020, PASP, 132, 085002, doi: 10.1088/1538-3873/ab936e
2020 doi
-
[89]
C., & Weissman, P
Snodgrass, C., Fitzsimmons, A., Lowry, S. C., & Weissman, P. 2011, MNRAS, 414, 458, doi: 10.1111/j.1365-2966.2011.18406.x 26
2011
-
[90]
M., et al
Snodgrass, C., Tubiana, C., Bramich, D. M., et al. 2013, A&A, 557, A33, doi: 10.1051/0004-6361/201322020
2013 doi
-
[91]
2016, MNRAS, 462, S138, doi: 10.1093/mnras/stw2300
Snodgrass, C., Opitom, C., de Val-Borro, M., et al. 2016, MNRAS, 462, S138, doi: 10.1093/mnras/stw2300
2016 doi
-
[92]
F., Aceituno, F., et al
Snodgrass, C., A’Hearn, M. F., Aceituno, F., et al. 2017, Philosophical Transactions of the Royal Society of London Series A, 375, 20160249, doi: 10.1098/rsta.2016.0249
2017
-
[93]
2012, Icarus, 218, 571, doi: 10.1016/j.icarus.2011.10.008
Solontoi, M., Ivezi´ c,ˇZ., Juri´ c, M., et al. 2012, Icarus, 218, 571, doi: 10.1016/j.icarus.2011.10.008
2012 doi
-
[94]
1989, in ESA Special Publication, Vol
Thiel, K., Koelzer, G., Kochan, H., et al. 1989, in ESA Special Publication, Vol. 302, Physics and Mechanics of Cometary Materials, ed. J. J. Hunt & T. D. Guyenne, 221–225
1989
-
[95]
Tonry, J. L. 2011, PASP, 123, 58, doi: 10.1086/657997
2011 doi
-
[96]
L., Denneau, L., Heinze, A
Tonry, J. L., Denneau, L., Heinze, A. N., et al. 2018a, PASP, 130, 064505, doi: 10.1088/1538-3873/aabadf
-
[97]
L., Denneau, L., Flewelling, H., et al
Tonry, J. L., Denneau, L., Flewelling, H., et al. 2018b, ApJ, 867, 105, doi: 10.3847/1538-4357/aae386
-
[98]
T., et al
Tosi, F., Capaccioni, F., Capria, M. T., et al. 2019, Nature Astronomy, 3, 649, doi: 10.1038/s41550-019-0740-0 Trigo-Rodr ´ ıguez, J. M., Garc ´ ıa-Melendo, E., Davidsson, B. J. R., et al. 2008, A&A, 485, 599, doi: 10.1051/0004-6361:20078666
2019 doi
-
[99]
2013, Icarus, 222, 424, doi: 10.1016/j.icarus.2012.03.034
Veverka, J., Klaasen, K., A’Hearn, M., et al. 2013, Icarus, 222, 424, doi: 10.1016/j.icarus.2012.03.034
2013 doi
-
[100]
Mandell, A. M. 2018, JQSRT, 217, 86, doi: 10.1016/j.jqsrt.2018.05.023
2018 doi
-
[101]
E., et al
Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2 Weso lowski, M. 2022, Icarus, 375, 114847, doi: 10.1016/j.icarus.2021.114847
2020
-
[102]
Whipple, F. L. 1978, Moon and Planets, 18, 343, doi: 10.1007/BF00896489
1978 doi
-
[103]
1955, ApJ, 122, 190, doi: 10.1086/146069
Whitney, C. 1955, ApJ, 122, 190, doi: 10.1086/146069
1955 doi
-
[104]
Willmer, C. N. A. 2018, ApJS, 236, 47, doi: 10.3847/1538-4365/aabfdf
2018 doi
-
[105]
2017, PASP, 129, 031001, doi: 10.1088/1538-3873/129/973/031001
Womack, M., Sarid, G., & Wierzchos, K. 2017, PASP, 129, 031001, doi: 10.1088/1538-3873/129/973/031001
2017 doi
-
[106]
A., et al
Womack, M., Curtis, O., Rabson, D. A., et al. 2021, PSJ, 2, 17, doi: 10.3847/PSJ/abd32c
2021 doi
-
[107]
1985, A&A, 142, 31 27 Fig
Yamamoto, T. 1985, A&A, 142, 31 27 Fig. Set 1
1985
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