REVIEW 4 major objections 4 minor 67 references
Impacts of UV Radiation from an AGN on Planetary Atmospheres and Consequences for Galactic Habitability
T0 review · 4 major / 4 minor · reviewed 2026-08-12 · deepseek-v4-flash
Pith's one-line read A planet with enough oxygen can turn AGN ultraviolet into a thicker ozone layer that leaves the surface safer from UV than the same planet with no AGN; the effect is strongest in compact red nugget galaxies.
desk verdict Novel ozone-shielding response to AGN UV is plausible, but the quantitative 'protection' claim and red-nugget fractions rest on extrapolations that need sensitivity tests. 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 central mechanism is the Chapman ozone cycle, in which ultraviolet photolyzes O$_2$ into atomic oxygen, which then combines with O$_2$ to form ozone O$_3$; the thicker the ozone column, the more strongly the atmosphere absorbs the dangerous ultraviolet band. The mechanism is realized in PALEO, a 1D photochemical model with a fixed pressure-temperature profile, run to 5 Myr equilibrium starting from a Sun-only atmospheric state, with a mean quasar SED added as a second irradiating source. The model's surface flux output is compared with LD50 danger spectra for human keratinocytes, rat PC12 cells, E. coli, and D. radiodurans to define when ultraviolet becomes 'dangerous.'
What would settle it
Compute the surface dangerous-UV flux for oxygen mixing ratios between $10^{-7}$ and $0.21$ mol/mol under a fixed high AGN flux such as $10^6$ erg s$^{-1}$ cm$^{-2}$: if the integrated dangerous flux does not fall below the no-AGN baseline at any oxygen level at or above $10^{-3}$, the paper's central protective-ozone claim fails.
Extended reading notes
Core claim
In the paper's own terms, with sufficient initial oxygen, AGN ultraviolet does not simply sterilize a planet — it can generate a protective response. Using a 1D photochemical model of an Earthlike planet under a Sunlike star plus a mean quasar spectrum, the authors find that AGN fluxes up to $10^7$ erg s$^{-1}$ cm$^{-2}$ raise ozone column depths in Modern and Proterozoic atmospheres, and the resulting surface dangerous-UV flux is less than or comparable to the no-AGN baseline. The protective effect grows with AGN flux up to about $10^6$ erg s$^{-1}$ cm$^{-2}$, and the ozone layer reaches its new equilibrium within roughly a month of the AGN switching on. The same radiation that threatens surface life in low-oxygen atmospheres can, on an oxygenated world, end up shielding the surface from ultraviolet; the paper calls the resulting spatial pattern a potential 'goldilocks ring' around the AGN.
Load-bearing premise
The red nugget population fractions assume a power-law extrapolation of stellar surface brightness from the innermost observed radius of 100 pc down to 10 pc, with the outer fit limit at 300 pc chosen arbitrarily; if the true inner stellar density is lower than the power law predicts, the reported percentages of affected stars shrink.
Editorial extensions
If this is right
- On planets with O$_2$ mixing ratio at or above $10^{-3}$ mol/mol, a transient AGN ultraviolet phase leaves the atmosphere more ozone-rich and more UV-resistant than before, with the protection persisting after the atmosphere equilibrates.
- For M87 and the Milky Way, even Eddington-limited AGN phases threaten only a small central fraction of stars, so most planetary systems in typical present-day galaxies are unaffected by AGN ultraviolet.
- In compact red nugget relics such as NGC 1277, large fractions of the stellar population — up to 99.9% under an Archean atmosphere at high Eddington ratio — can receive dangerous AGN ultraviolet during active phases.
- At bolometric AGN fluxes above roughly $10^{5.15}$ erg s$^{-1}$ cm$^{-2}$, the combined stellar plus AGN flux crosses the runaway greenhouse threshold, which could counteract the protective ozone effect on surface habitability.
- The roughly one-month ozone-building timescale is much shorter than typical AGN duty cycles of about $10^5$ yr, but still long enough to deliver dangerous ultraviolet fluence to surface organisms in the interim.
Reading between the lines
- If the ozone-shielding response scales smoothly with oxygen, the transition between 'vulnerable' and 'protected' atmospheres is probably not a sharp cliff; scanning oxygen mixing ratios between $10^{-7}$ and $0.21$ mol/mol would locate the exact tipping point for classifying exoplanets.
- AGN ultraviolet could act as a selective pressure that favors planets that have already oxygenated their atmospheres, hardening them against later nuclear activity while permanently stalling Archean-like worlds — an extension of the paper's Gaian bottleneck discussion.
- The same ozone-boosting logic might apply to other transient ultraviolet sources such as supernova shocks or gamma-ray bursts, suggesting a general 'UV shield feedback' that is not limited to AGN.
- Because the paper's model ignores XUV-driven atmospheric escape and ozone depletion from AGN winds, a coupled photochemistry-escape calculation would test whether the protective goldilocks ring survives at the innermost radii.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper uses the 1D photochemical model PALEO to simulate how UV radiation from an AGN affects the atmospheric composition of Earth-like planets. The authors consider three atmospheric states (Modern, Proterozoic, and Archean, parametrized by surface O2 mixing ratios of 0.21, 1e-3, and 1e-7 mol/mol), scale a mean quasar SED (Richards et al. 2006) to bolometric fluxes from 10 to 1e7 erg/s/cm2, and compute surface UV fluxes before and after atmospheric evolution. These are compared with LD50-derived danger spectra for human keratinocytes, rat PC12 cells, E. coli, and D. radiodurans. The central claim is that for atmospheres with initial O2 >= 1e-3, AGN-driven ozone production reduces dangerous surface UV below the no-AGN baseline (Section 3.3, Figures 4B, 4D, 5). The authors then combine these flux thresholds with stellar population distributions for M87, the Milky Way bulge, and six red nugget galaxies to estimate the fraction of planetary systems receiving dangerous AGN UV, finding the largest impacts in red nugget galaxies.
Significance. If correct, the paper refines the common picture of AGN as pure sterilizers: an oxygenated atmosphere can convert AGN UV into a net protective effect against UV, which is a novel and falsifiable claim with direct consequences for galactic habitability. The work is strengthened by using an externally published photochemical model (PALEO; Eager-Nash et al. 2024), by explicitly listing the model's limitations (cloud-free, fixed pressure-temperature profile, no ocean, no climate coupling in Section 2.3), and by providing a quantitative mapping from TOA AGN flux to species-specific danger thresholds based on documented LD50 data. However, the load-bearing quantitative claims—the protective effect in Section 3.3 and the population fractions in Tables 4–12—rest on untested assumptions: a fixed temperature profile, an effectively infinite surface O2 reservoir, and a power-law inward extrapolation of stellar surface brightness profiles. These issues are addressable with sensitivity tests and re-framing, so the paper merits revision rather than rejection.
major comments (4)
- [Section 2.3, Figures 4–5] The PALEO simulations hold a fixed pressure-temperature profile while chemistry evolves (Section 2.3), and Section 3.1.5 concedes that a runaway greenhouse is expected above Fbol = 10^5.15 erg/s/cm2. Ozone production and loss via the Chapman cycle and catalytic loss cycles are strongly temperature dependent. At the highest applied fluxes (Fbol = 10^6–10^7 erg/s/cm2), the assumed modern-Earth-like temperature structure is not physically plausible, and the direction of the net ozone change is not determined by the current simulations. The central protection claim (Section 3.3, Figures 4B, 4D, 5) therefore needs a sensitivity test with perturbed temperature profiles, or a coupled climate calculation, before the statement that dangerous surface UV is 'less than or comparable to' the no-AGN baseline can be accepted as a quantitative result.
- [Section 3.1.5, Section 4] The paper itself states that the integrated TOA flux from the AGN plus the Sun exceeds the runaway greenhouse limit of 1500 W/m2 at Fbol = 10^5.15 erg/s/cm2 (Section 3.1.5). This means the two highest-flux simulations (Fbol = 10^6 and 10^7 erg/s/cm2) are in a regime where the surface is likely uninhabitable because of high temperature, independent of UV protection. The decreasing dangerous-UV trend in Figure 5 up to 10^6 erg/s/cm2 should not be presented as a habitability benefit in this regime. Section 4 mentions the runaway greenhouse only as a possibility that 'could potentially' negate benefits; the quantitative claims should be restricted to Fbol below the runaway threshold, or a coupled climate calculation must be provided.
- [Section 2.2, Tables 6, 8–12] The red nugget stellar population fractions, including the headline 99.9% for NGC 1277 under an Archean atmosphere at Eddington ratio 1 (Table 6), depend on an inward extrapolation of the surface brightness profile from 100 pc to 10 pc using a power-law fit to the 100–300 pc region, with the 300 pc outer limit explicitly admitted to be arbitrary. If the true inner stellar density is lower than the power-law prediction, the computed fractions drop substantially. The authors should quantify the sensitivity of the population percentages to the assumed power-law slope and to the inner cutoff, for example by comparing with a constant-density core or with alternative published profiles.
- [Section 2.3, Table 2] The boundary conditions in Table 2 fix the surface O2 mixing ratio (0.21, 10^-3, or 10^-7 mol/mol) while allowing O3 to form photochemically from that O2. This effectively treats the surface O2 reservoir as infinite, sustained by an unspecified source. In reality, ozone production would draw down surface O2 unless resupplied by biology or outgassing, so the simulated protective effect may be overstated. The authors should either justify the fixed mixing ratio with an explicit O2 source term or test the sensitivity to a finite-column O2 reservoir (e.g., by turning off the fixed boundary condition and tracking O2 depletion).
minor comments (4)
- [Section 2.3] There is a typo: 'using the the Platform for Atmosphere, Land, Earth, and Ocean model' should read 'using the Platform for Atmosphere, Land, Earth, and Ocean model'.
- [Section 2.4, Figure 8] The extrapolation of the rat, E. coli, and D. radiodurans LD50 spectra to the human wavelength range assumes all species share the same spectral shape scaled by a constant factor. This is a strong assumption and should be stated more prominently in the main text, not only in the appendix, since the derived danger thresholds in Table 3 inherit it.
- [Tables 3–6] Table 3 labels asterisked values as lower limits, while Tables 4–6 label asterisked values as upper limits; the wording is potentially confusing, especially for D. Radiodurans in the Modern atmosphere, and should be harmonized with explicit definitions of what the limits apply to.
- [Section 2.2] The method assumes a constant stellar mass function and mass-to-light ratio and treats the stellar distribution as a proxy for the distribution of habitable planets; these assumptions are stated but the associated systematic uncertainty is not propagated into the population percentages, so a brief caveat in Section 3.2.1 would be helpful.
Circularity Check
No circular derivation: atmospheric predictions are model outputs from an externally published photochemical model plus independent AGN SED and LD50 inputs; self-citation is not load-bearing.
full rationale
I walked the derivation chain from the AGN SED (Section 2.1) through the PALEO simulations (Section 2.3) to surface dangerous-UV comparisons (Section 3.2) and galactic stellar-fraction estimates (Section 3.2.1). The central claim—that atmospheres with initial O2 >= 1e-3 mol/mol develop a thicker ozone layer and receive less dangerous surface UV under AGN irradiation—is a photochemical-model output, not a prescribed input. The PALEO chemical network is attributed to Eager-Nash et al. (2024), but that prior work did not include the two-source AGN-plus-star configuration used here, and the AGN SED (Richards et al. 2006) and species LD50 curves (Aoki et al. 2011; Masuma et al. 2013; Krisko & Radman 2010) are external inputs. The model's fixed pressure-temperature profile and cloud-free assumption are explicitly acknowledged limitations (Sections 3.1.5 and 3.3); they affect robustness, not circularity. The red-nugget conclusion uses observed stellar surface-brightness profiles (Yildirim et al. 2017) and model-computed dangerous fluxes; the power-law extrapolation from 100 to 10 pc is an arbitrary but clearly stated modeling choice, not a tautology. No equation in the paper reduces to its own input, and no fitted parameter is relabeled as a prediction. The only notable self-citation is to the PALEO model code, which is a tool citation and is not load-bearing in the sense of forbidding alternatives or importing the target result.
Assumptions & free parameters
free parameters (2)
- LD50 spectral shape scale factor for rat, E. Coli, and D. Radiodurans =
constant factor per species, derived from single-wavelength LD50 points
- Inner stellar surface brightness power law slope and normalization for red nugget galaxies =
fitted to projected radii 100-300 pc; slope and normalization not tabulated
assumptions (5)
- ad hoc to paper The mean quasar SED from Richards et al. (2006) is representative of AGN ultraviolet output at all Eddington ratios and luminosities.
- domain assumption Stellar mass distribution is a direct proxy for the distribution of potential habitable planets, with constant mass function and mass-to-light ratio.
- ad hoc to paper A planet's surface O2 mixing ratio can be held fixed as a boundary condition while O3 is produced from it.
- domain assumption The LD50 lethal dose for cultured cells is the appropriate quantitative definition of 'dangerous' for planetary habitability.
- domain assumption A fixed temperature-pressure profile with no climate feedback adequately captures the atmospheric response to AGN UV.
Cite this review
Pith. "Pith review of Impacts of UV Radiation from an AGN on Planetary Atmospheres and Consequences for Galactic Habitability." pith.science (2026). https://pith.science/paper/FWLP25KA
@misc{pith2026241115341,
author = {Pith},
title = {Pith review of: Impacts of UV Radiation from an AGN on Planetary Atmospheres and Consequences for Galactic Habitability},
year = {2026},
howpublished = {\url{https://pith.science/paper/FWLP25KA}},
note = {Machine review of arXiv:2411.15341}
}
abstract
We present a study of the effects of ultraviolet (UV) emission from active galactic nuclei (AGN) on the atmospheric composition of planets and potential impact on life. It is expected that all supermassive black holes, which reside at galactic centers, have gone through periods of high AGN activity in order to reach their current masses. We examine potential damaging effects on lifeforms on planets with different atmosphere types and receiving different levels of AGN flux, using data on the sensitivity of various species' cells to UV radiation to determine when radiation becomes "dangerous". We also consider potential chemical changes to planetary atmospheres as a result of UV radiation from AGN, using the PALEO photochemical model. We find the presence of sufficient initial oxygen (surface mixing ratio $\geq 10^{-3} \rm\, mol/mol$) in the planet's atmosphere allows a thicker ozone layer to form in response to AGN radiation, which reduces the level of dangerous UV radiation incident on the planetary surface from what it was in absence of an AGN. We estimate the fraction of solar systems in galaxies that would be affected by AGN UV radiation, and find that the impact is most pronounced in compact galaxies such as "red nugget relics", as compared to typical present-day ellipticals and spirals (using M87 and the Milky Way as examples).
Figures
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Works this paper leans on
-
[1]
, " * write output.state after.block = add.period write newline
ENTRY address archivePrefix author booktitle chapter doi edition editor eprint howpublished institution journal key month number organization pages publisher school series title misctitle type volume year version url label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sentence after.block FUNCTION init.state.consts ...
-
[2]
write newline
" write newline "" before.all 'output.state := FUNCTION format.url url empty "" new.block "" url * "" * if FUNCTION format.eprint eprint empty "" archivePrefix empty "" archivePrefix "arXiv" = new.block " " eprint * " " * new.block " " eprint * " " * if if if FUNCTION format.doi doi empty "" " " doi * " " * if FUNCTION format.pid doi empty eprint empty ur...
-
[3]
Alcabes , O. D. N., Olson , S., & Abbot , D. S. 2020, , 492, 2572, 10.1093/mnras/staa055
-
[4]
2019, , 2019, 056, 10.1088/1475-7516/2019/12/056
Amaro-Seoane , P., & Chen , X. 2019, , 2019, 056, 10.1088/1475-7516/2019/12/056
-
[5]
2022, , 512, 505, 10.1093/mnras/stac542
Ambrifi , A., Balbi , A., Lingam , M., Tombesi , F., & Perlman , E. 2022, , 512, 505, 10.1093/mnras/stac542
-
[6]
2011, The Showa University Journal of Medical Sciences, 23, 1, 10.15369/sujms.23.1
Aoki, K., Nakanishi-Ueda, T., Tsuji, M., et al. 2011, The Showa University Journal of Medical Sciences, 23, 1, 10.15369/sujms.23.1
-
[7]
Astropy Collaboration , Price-Whelan , A. M., Sip o cz , B. M., et al. 2018, , 156, 123, 10.3847/1538-3881/aabc4f
-
[8]
2017, Scientific Reports, 7, 16626, 10.1038/s41598-017-16110-0
Balbi , A., & Tombesi , F. 2017, Scientific Reports, 7, 16626, 10.1038/s41598-017-16110-0
Show all 67 references
-
[9]
M., P \'e rez-Gonz \'a lez , P
Barro , G., Faber , S. M., P \'e rez-Gonz \'a lez , P. G., et al. 2013, , 765, 104, 10.1088/0004-637X/765/2/104
2013 doi
-
[10]
D., Wang , P
Bekker , A., Holland , H. D., Wang , P. L., et al. 2004, , 427, 117, 10.1038/nature02260
2004 doi
-
[11]
R., Sutherland , R
Bland-Hawthorn , J., Maloney , P. R., Sutherland , R. S., & Madsen , G. J. 2013, , 778, 58, 10.1088/0004-637X/778/1/58
2013 doi
-
[12]
1930, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 10, 369, 10.1080/14786443009461588
Chapman, S. 1930, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 10, 369, 10.1080/14786443009461588
1930 doi
-
[13]
C., & Loeb , A
Chen , H., Forbes , J. C., & Loeb , A. 2018, , 855, L1, 10.3847/2041-8213/aaab46
2018 doi
-
[14]
2021, Nature Astronomy, 5, 298, 10.1038/s41550-020-01264-1
Chen , H., Zhan , Z., Youngblood , A., et al. 2021, Nature Astronomy, 5, 298, 10.1038/s41550-020-01264-1
2021 doi
-
[15]
2015, Classical and Quantum Gravity, 32, 064001, 10.1088/0264-9381/32/6/064001
Chen , X., & Amaro-Seoane , P. 2015, Classical and Quantum Gravity, 32, 064001, 10.1088/0264-9381/32/6/064001
2015 doi
-
[16]
W., Sheets , J., Cohen , M., et al
Claire , M. W., Sheets , J., Cohen , M., et al. 2012, , 757, 95, 10.1088/0004-637X/757/1/95
2012 doi
-
[17]
H., Walsh , J
Cohn , J. H., Walsh , J. L., Boizelle , B. D., et al. 2021, , 919, 77, 10.3847/1538-4357/ac0f78
2021 doi
-
[18]
H., Curliss , M., Walsh , J
Cohn , J. H., Curliss , M., Walsh , J. L., et al. 2023, , 958, 186, 10.3847/1538-4357/ad029d
2023 doi
- [19]
-
[20]
J., & Lenton , T
Daines , S. J., & Lenton , T. M. 2016, Earth and Planetary Science Letters, 434, 42, 10.1016/j.epsl.2015.11.021
2016 doi
-
[21]
D'Orazio , J., J. S. A. A. S. T. 2013, International Journal of Molecular Sciences, 14, 12222, 10.3390/ijms140612222
2013 doi
-
[22]
K., Daines, S
Eager-Nash, J. K., Daines, S. J., McDermott, J. W., et al. 2024, Monthly Notices of the Royal Astronomical Society, 531, 468, 10.1093/mnras/stae1142
2024 doi
-
[23]
2020, Astrobiology, 20, 1465, 10.1089/ast.2019.2126
Estrela , R., Palit , S., & Valio , A. 2020, Astrobiology, 20, 1465, 10.1089/ast.2019.2126
2020
-
[24]
2008, , 689, L101, 10.1086/595784
Fan , L., Lapi , A., De Zotti , G., & Danese , L. 2008, , 689, L101, 10.1086/595784
2008 doi
- [25]
-
[26]
L., Stock , J
Gebauer , S., Grenfell , J. L., Stock , J. W., et al. 2017, Astrobiology, 17, 27, 10.1089/ast.2015.1384
2017
-
[27]
2009, , 700, 1690, 10.1088/0004-637X/700/2/1690
Gebhardt , K., & Thomas , J. 2009, , 700, 1690, 10.1088/0004-637X/700/2/1690
2009 doi
-
[28]
S., Claire , M
Gregory , B. S., Claire , M. W., & Rugheimer , S. 2021, Earth and Planetary Science Letters, 561, 116818, 10.1016/j.epsl.2021.116818
2021
-
[29]
R., Millman, K
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357, 10.1038/s41586-020-2649-2
2020 doi
-
[30]
F., Hernquist , L., Cox , T
Hopkins , P. F., Hernquist , L., Cox , T. J., et al. 2006, , 163, 1, 10.1086/499298
2006 doi
-
[31]
2024, , 533, 455, 10.1093/mnras/stae1840
Ishibashi , W. 2024, , 533, 455, 10.1093/mnras/stae1840
2024 doi
-
[32]
2010, Proceedings of the National Academy of Sciences of the Unites States of America, 107, 14373–14377, 10.1073/pnas.1009312107
Krisko, A., & Radman, M. 2010, Proceedings of the National Academy of Sciences of the Unites States of America, 107, 14373–14377, 10.1073/pnas.1009312107
2010 doi
-
[33]
2013, , 504, 268, 10.1038/nature12827
Leconte , J., Forget , F., Charnay , B., Wordsworth , R., & Pottier , A. 2013, , 504, 268, 10.1038/nature12827
2013 doi
-
[34]
2020, Earth-Science Reviews, 209, 10.1016/j.earscirev.2020.103296
Lepot , K. 2020, Earth-Science Reviews, 209, 10.1016/j.earscirev.2020.103296
2020
-
[35]
2019, , 877, 62, 10.3847/1538-4357/ab1b2f
Lingam , M., Ginsburg , I., & Bialy , S. 2019, , 877, 62, 10.3847/1538-4357/ab1b2f
2019 doi
-
[36]
E., & Margulis , L
Lovelock , J. E., & Margulis , L. 1974, Tellus, 26, 2, 10.1111/j.2153-3490.1974.tb01946.x10.3402/tellusa.v26i1-2.9731
1974
-
[37]
2015, Astrobiology, 15, 57, 10.1089/ast.2014.1215
Luger , R., Barnes , R., Lopez , E., et al. 2015, Astrobiology, 15, 57, 10.1089/ast.2014.1215
2015
-
[38]
2013, Journal of Photochemistry and Photobiology B: Biology, 125, 202, https://doi.org/10.1016/j.jphotobiol.2013.06.003
Masuma, R., Kashima, S., Kurasaki, M., & Okuno, T. 2013, Journal of Photochemistry and Photobiology B: Biology, 125, 202, https://doi.org/10.1016/j.jphotobiol.2013.06.003
2013 doi
-
[39]
J., Baraffe , I., Acreman , D
Mayne , N. J., Baraffe , I., Acreman , D. M., et al. 2014, , 561, A1, 10.1051/0004-6361/201322174
2014 doi
-
[40]
G., Duschl , W
Mezger , P. G., Duschl , W. J., & Zylka , R. 1996, , 7, 289, 10.1007/s001590050007
1996 doi
-
[41]
E., & Mayne , N
Nicholson , A. E., & Mayne , N. J. 2023, , 521, 5139, 10.1093/mnras/stad848
2023 doi
-
[42]
E., Wilkinson , D
Nicholson , A. E., Wilkinson , D. M., Williams , H. T. P., & Lenton , T. M. 2018, , 477, 727, 10.1093/mnras/sty658
2018 doi
-
[43]
T., & Kaltenegger , L
O'Malley-James , J. T., & Kaltenegger , L. 2019, , 485, 5598, 10.1093/mnras/stz724
2019 doi
-
[44]
2020, , 498, 3153, 10.1093/mnras/staa2535
Pacetti , E., Balbi , A., Lingam , M., Tombesi , F., & Perlman , E. 2020, , 498, 3153, 10.1093/mnras/staa2535
2020 doi
-
[45]
A., Fern \'a ndez-Ontiveros , J
Prieto , M. A., Fern \'a ndez-Ontiveros , J. A., Markoff , S., Espada , D., & Gonz \'a lez-Mart \' n , O. 2016, , 457, 3801, 10.1093/mnras/stw166
2016 doi
-
[46]
D., & Sasselov , D
Ranjan , S., Wordsworth , R. D., & Sasselov , D. D. 2017, in LPI Contributions, Vol. 2042, Habitable Worlds 2017: A System Science Workshop, 4008
2017
-
[47]
T., Lacy, M., Storrie-Lombardi, L
Richards, G. T., Lacy, M., Storrie-Lombardi, L. J., et al. 2006, The Astrophysical Journal Supplement Series, 166, 470, 10.1086/506525
2006 doi
-
[48]
J., Zamyatina , M., Mayne , N
Ridgway , R. J., Zamyatina , M., Mayne , N. J., et al. 2023, , 518, 2472, 10.1093/mnras/stac3105
2023 doi
-
[49]
B., Xu, J., Thompson, S
Rimmer, P. B., Xu, J., Thompson, S. J., et al. 2018, Science Advances, 4, eaar3302, 10.1126/sciadv.aar3302
2018 doi
-
[50]
Schawinski , K., Koss , M., Berney , S., & Sartori , L. F. 2015, , 451, 2517, 10.1093/mnras/stv1136
2015 doi
-
[51]
M., Meadows , V., Kasting , J., & Hawley , S
Segura , A., Walkowicz , L. M., Meadows , V., Kasting , J., & Hawley , S. 2010, Astrobiology, 10, 751, 10.1089/ast.2009.0376
2010
-
[52]
2009, Publications of the Astronomical Society of Japan, 61, 227, 10.1093/pasj/61.2.227
Sofue, Y., Honma, M., & Omodaka, T. 2009, Publications of the Astronomical Society of Japan, 61, 227, 10.1093/pasj/61.2.227
2009 doi
-
[53]
R., & Finkbeiner , D
Su , M., Slatyer , T. R., & Finkbeiner , D. P. 2010, , 724, 1044, 10.1088/0004-637X/724/2/1044
2010 doi
-
[54]
C., Neale , P
Thomas , B. C., Neale , P. J., & Snyder , Brock R., I. 2015, Astrobiology, 15, 207, 10.1089/ast.2014.1224
2015
-
[55]
2009, , 703, 905, 10.1088/0004-637X/703/1/905
Tian , F. 2009, , 703, 905, 10.1088/0004-637X/703/1/905
2009 doi
-
[56]
G., et al
van der Wel , A., Franx , M., van Dokkum , P. G., et al. 2014, , 788, 28, 10.1088/0004-637X/788/1/28
2014 doi
-
[57]
G., Whitaker , K
van Dokkum , P. G., Whitaker , K. E., Brammer , G., et al. 2010, , 709, 1018, 10.1088/0004-637X/709/2/1018
2010 doi
-
[58]
E., et al
Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, 10.1038/s41592-019-0686-2
2020 doi
-
[59]
2010, , 18, 279, 10.1007/s00159-010-0029-x
Volonteri , M. 2010, , 18, 279, 10.1007/s00159-010-0029-x
2010 doi
-
[60]
L., van den Bosch , R
Walsh , J. L., van den Bosch , R. C. E., Gebhardt , K., et al. 2015, , 808, 183, 10.1088/0004-637X/808/2/183
2015 doi
-
[61]
2017, , 835, 208, 10.3847/1538-4357/835/2/208
---. 2017, , 835, 208, 10.3847/1538-4357/835/2/208
2017 doi
- [62]
-
[63]
Whitmire , D. P. 2020, , 494, 3048, 10.1093/mnras/staa957
2020 doi
-
[64]
M., Kova c evi \'c , A
Wis ocka , A. M., Kova c evi \'c , A. B., & Balbi , A. 2019, , 624, A71, 10.1051/0004-6361/201834655
2019 doi
-
[65]
Wyse , R. F. G., Gilmore , G., & Franx , M. 1997, , 35, 637, 10.1146/annurev.astro.35.1.637
1997 doi
-
[66]
Y ld r m , A., van den Bosch , R. C. E., van de Ven , G., et al. 2017, , 468, 4216, 10.1093/mnras/stx732
2017 doi
-
[67]
2020, , 894, 117, 10.3847/1538-4357/ab8bd0
Zhang , R., & Guo , F. 2020, , 894, 117, 10.3847/1538-4357/ab8bd0
2020 doi
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