Pith. sign in

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 →

arxiv 2411.15341 v3 pith:FWLP25KA submitted 2024-11-22 astro-ph.EP astro-ph.GAastro-ph.HE

classification astro-ph.EPastro-ph.GAastro-ph.HE
keywords activegalacticnucleiplanetaryhabitabilityozonelayerultravioletradiationphotochemicalmodelingChapmanmechanismrednuggetgalaxieshabitablezone
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper asks whether ultraviolet light from a galaxy's central supermassive black hole during an active galactic nucleus phase is uniformly hostile to life. It argues that the answer depends on the planet's atmosphere: if a planet starts with enough oxygen (surface mixing ratio at or above $10^{-3}$ mol/mol), AGN ultraviolet drives the Chapman ozone-forming chemistry into overdrive, producing a thicker ozone layer that leaves the surface with less dangerous ultraviolet than the same planet would receive with no AGN at all. For low-oxygen 'Archean' atmospheres, no protective ozone forms and AGN ultraviolet reaches the surface largely unattenuated. The paper then combines these atmospheric results with stellar-density profiles of the Milky Way, M87, and six compact red nugget galaxies to estimate what fraction of planetary systems would experience dangerous fluxes, finding the largest effects in the red nuggets.

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.

Watch

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

Editorial extensions of the paper, not claims the author makes directly.

  • 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.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

4 major / 4 minor

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)
  1. [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.
  2. [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.
  3. [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.
  4. [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)
  1. [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'.
  2. [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.
  3. [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.
  4. [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

0 steps flagged · score 2.0 of 10

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 2 free parameters · 5 assumptions · 0 invented entities

The paper introduces no new physical entities. Its central claim rests on an established photochemical model extended to a new radiation source, plus a set of biological and astronomical proxies. The main free parameters are the LD50 spectral shape rescalings and the inner stellar profile extrapolations; both are loosely constrained by the cited data.

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
    Section 2.4: 'we extrapolate all of the spectra out to the wavelength limits of the human cell lethality spectrum... assuming each of the spectra share the same shape, scaled up or down by a constant factor.' This rescaling sets all species danger limits used in Tables 3-12.
  • 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
    Section 2.2: 'we extrapolate the surface brightness profiles, I(R), down to R = 10 pc... using a power law fit to the inner region... the choice of 300 pc as the outer limit is arbitrary.' The resulting stellar population fractions (e.g., 99.9% in NGC 1277) depend directly on this fit.
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.
    Section 2.1: 'For simplicity we assume the AGN SED does not change with luminosity or Eddington ratio.' This fixes the photochemically active UV fraction at about 10% of bolometric flux for all simulations.
  • 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.
    Section 2.2: 'We use the stellar mass distribution in our galaxies of interest to estimate what percentage of the galaxy's total stars would be receiving flux above certain limits.' This underlies all galactic habitability fractions.
  • 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.
    Table 2 sets O2 as a constant surface mixing ratio. This assumes a large enough O2 reservoir to sustain ozone production over 5 Myr, which may not hold for Proterozoic or Archean-like atmospheres.
  • domain assumption The LD50 lethal dose for cultured cells is the appropriate quantitative definition of 'dangerous' for planetary habitability.
    Section 2.4 defines the limit of danger as the LD50 from cell cultures, which ignores ecological recovery, behavior, shielding by oceans, and evolutionary adaptation.
  • domain assumption A fixed temperature-pressure profile with no climate feedback adequately captures the atmospheric response to AGN UV.
    Section 2.3: 'PALEO... does not model the evolving climate - only chemistry evolves under a fixed pressure-temperature profile.' This is a limitation acknowledged in Section 3.1.5.

how reviews work

0 comments
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

Figures reproduced from arXiv: 2411.15341 by the authors.

Figure 1
Figure 1. Flux in erg s−1 cm−2 Hz−1 vs. frequency in Hz received on a hypothetical planet with an modern Earth at￾mosphere for various AGN scaling factors, plus the flux from the Sun, in PALEO. Curves are labeled according to bolomet￾ric AGN flux in erg s−1 cm−2 , per the legend in panel A. See [PITH_FULL_IMAGE:figures/full_fig_p007_1.png] view at source ↗
Figure 2
Figure 2. Ozone mixing ratio in mol/mol for the same simulations shown in [PITH_FULL_IMAGE:figures/full_fig_p008_2.png] view at source ↗
Figure 3
Figure 3. Time evolution of the ozone layer and surface radiation received in the Fbol = 105 erg s−1 cm−2 AGN simulation in PALEO, with a Proterozoic atmosphere. The different color curves represent times in the simulation as the atmosphere evolves. Panel A: Ozone mixing ratio in mol/mol in the model atmosphere versus altitude in km. Panel B: Surface flux received in erg s−1 cm−2 Hz−1 versus frequency in Hz. Only the final st… view at source ↗
Figures from the paper (5 more)
Figure 4
Figure 4. Figure 4: Surface flux in erg s−1 cm−2 Hz−1 versus frequency in Hz plots, with danger spectrum for species shaded in purple. Panels A, C, and E: Initial atmospheric conditions. Panels B, D, and F: Evolved atmospheric conditions, simulated in PALEO (same as lower three panels of …
Figure 5
Figure 5. Figure 5: Integrated UV flux posing a danger to living species on the planetary surface, versus bolometric TOA AGN flux. Both axes are in units of erg s−1 cm−2 . Here, dangerous surface flux is considered to be when any part of the shaded purple regions shown in [PITH_FULL_IMAG…
Figure 6
Figure 6. Figure 6: Surface flux in erg s−1 cm−2 Hz−1 versus frequency in Hz plots for the AGN flux only, with danger spectrum for species shaded in purple. Identical to [PITH_FULL_IMAGE:figures/full_fig_p012_6.png]
Figure 7
Figure 7. Figure 7: Visual representation of the 100% Eddington ratio rows of Tables 1 and 7 (the latter shown in Appendix Section B). Solid green lines represent constant bolometric AGN fluxes used in our simulations (10, 102 , 103 , etc. through 107 erg s−1 cm−2 ), with mass of a given …
Figure 8
Figure 8. Figure 8: Limits of danger to various species, a differential flux Fν in erg s−1 cm−2 Hz−1 , as a function of frequency in Hz. Human keratinocyte data comes from Aoki et al. (2011), rat PC12 cell data from Masuma et al. (2013), and E. Coli and D. Radiodurans from Krisko & Radman…

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

67 extracted references · 16 canonical work pages

  1. [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. [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. [3]

    Alcabes , O. D. N., Olson , S., & Abbot , D. S. 2020, , 492, 2572, 10.1093/mnras/staa055

  4. [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. [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. [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. [7]

    M., Sip o cz , B

    Astropy Collaboration , Price-Whelan , A. M., Sip o cz , B. M., et al. 2018, , 156, 123, 10.3847/1538-3881/aabc4f

  8. [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
  1. [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

  2. [10]

    D., Wang , P

    Bekker , A., Holland , H. D., Wang , P. L., et al. 2004, , 427, 117, 10.1038/nature02260

  3. [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

  4. [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

  5. [13]

    C., & Loeb , A

    Chen , H., Forbes , J. C., & Loeb , A. 2018, , 855, L1, 10.3847/2041-8213/aaab46

  6. [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

  7. [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

  8. [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

  9. [17]

    H., Walsh , J

    Cohn , J. H., Walsh , J. L., Boizelle , B. D., et al. 2021, , 919, 77, 10.3847/1538-4357/ac0f78

  10. [18]

    H., Curliss , M., Walsh , J

    Cohn , J. H., Curliss , M., Walsh , J. L., et al. 2023, , 958, 186, 10.3847/1538-4357/ad029d

  11. [19]

    2024, , 975, 179, 10.3847/1538-4357/ad7bb0

    ---. 2024, , 975, 179, 10.3847/1538-4357/ad7bb0

  12. [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

  13. [21]

    D'Orazio , J., J. S. A. A. S. T. 2013, International Journal of Molecular Sciences, 14, 12222, 10.3390/ijms140612222

  14. [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

  15. [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

  16. [24]

    2008, , 689, L101, 10.1086/595784

    Fan , L., Lapi , A., De Zotti , G., & Danese , L. 2008, , 689, L101, 10.1086/595784

  17. [25]

    C., & Loeb , A

    Forbes , J. C., & Loeb , A. 2018, , 479, 171, 10.1093/mnras/sty1433

  18. [26]

    L., Stock , J

    Gebauer , S., Grenfell , J. L., Stock , J. W., et al. 2017, Astrobiology, 17, 27, 10.1089/ast.2015.1384

  19. [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

  20. [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

  21. [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

  22. [30]

    F., Hernquist , L., Cox , T

    Hopkins , P. F., Hernquist , L., Cox , T. J., et al. 2006, , 163, 1, 10.1086/499298

  23. [31]

    2024, , 533, 455, 10.1093/mnras/stae1840

    Ishibashi , W. 2024, , 533, 455, 10.1093/mnras/stae1840

  24. [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

  25. [33]

    2013, , 504, 268, 10.1038/nature12827

    Leconte , J., Forget , F., Charnay , B., Wordsworth , R., & Pottier , A. 2013, , 504, 268, 10.1038/nature12827

  26. [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

  27. [35]

    2019, , 877, 62, 10.3847/1538-4357/ab1b2f

    Lingam , M., Ginsburg , I., & Bialy , S. 2019, , 877, 62, 10.3847/1538-4357/ab1b2f

  28. [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

  29. [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

  30. [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

  31. [39]

    J., Baraffe , I., Acreman , D

    Mayne , N. J., Baraffe , I., Acreman , D. M., et al. 2014, , 561, A1, 10.1051/0004-6361/201322174

  32. [40]

    G., Duschl , W

    Mezger , P. G., Duschl , W. J., & Zylka , R. 1996, , 7, 289, 10.1007/s001590050007

  33. [41]

    E., & Mayne , N

    Nicholson , A. E., & Mayne , N. J. 2023, , 521, 5139, 10.1093/mnras/stad848

  34. [42]

    E., Wilkinson , D

    Nicholson , A. E., Wilkinson , D. M., Williams , H. T. P., & Lenton , T. M. 2018, , 477, 727, 10.1093/mnras/sty658

  35. [43]

    T., & Kaltenegger , L

    O'Malley-James , J. T., & Kaltenegger , L. 2019, , 485, 5598, 10.1093/mnras/stz724

  36. [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

  37. [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

  38. [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

  39. [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

  40. [48]

    J., Zamyatina , M., Mayne , N

    Ridgway , R. J., Zamyatina , M., Mayne , N. J., et al. 2023, , 518, 2472, 10.1093/mnras/stac3105

  41. [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

  42. [50]

    Schawinski , K., Koss , M., Berney , S., & Sartori , L. F. 2015, , 451, 2517, 10.1093/mnras/stv1136

  43. [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

  44. [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

  45. [53]

    R., & Finkbeiner , D

    Su , M., Slatyer , T. R., & Finkbeiner , D. P. 2010, , 724, 1044, 10.1088/0004-637X/724/2/1044

  46. [54]

    C., Neale , P

    Thomas , B. C., Neale , P. J., & Snyder , Brock R., I. 2015, Astrobiology, 15, 207, 10.1089/ast.2014.1224

  47. [55]

    2009, , 703, 905, 10.1088/0004-637X/703/1/905

    Tian , F. 2009, , 703, 905, 10.1088/0004-637X/703/1/905

  48. [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

  49. [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

  50. [58]

    E., et al

    Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, 10.1038/s41592-019-0686-2

  51. [59]

    2010, , 18, 279, 10.1007/s00159-010-0029-x

    Volonteri , M. 2010, , 18, 279, 10.1007/s00159-010-0029-x

  52. [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

  53. [61]

    2017, , 835, 208, 10.3847/1538-4357/835/2/208

    ---. 2017, , 835, 208, 10.3847/1538-4357/835/2/208

  54. [62]

    2016, , 817, 2, 10.3847/0004-637X/817/1/2

    ---. 2016, , 817, 2, 10.3847/0004-637X/817/1/2

  55. [63]

    Whitmire , D. P. 2020, , 494, 3048, 10.1093/mnras/staa957

  56. [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

  57. [65]

    Wyse , R. F. G., Gilmore , G., & Franx , M. 1997, , 35, 637, 10.1146/annurev.astro.35.1.637

  58. [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

  59. [67]

    2020, , 894, 117, 10.3847/1538-4357/ab8bd0

    Zhang , R., & Guo , F. 2020, , 894, 117, 10.3847/1538-4357/ab8bd0

Pith tools

Reviewed August 12, 2026 · model on record in the stance chip above.