Pith. sign in

REVIEW 4 major objections 5 minor 75 references

Phase-resolved Hubble Space Telescope WFC3 Spectroscopy of Weakly-Irradiated Brown Dwarf GD 1400 and Energy Redistribution-Irradiation Trends in Six WD$-$BD Binaries

T0 review · 4 major / 5 minor · reviewed 2026-08-10 · deepseek-v4-flash

Pith's one-line read This paper claims that GD 1400B, the least-irradiated brown dwarf among six white-dwarf companions, redistributes about 81% of its absorbed irradiation to the night side, keeping day and night hemispheres nearly identical in temperature…

desk verdict Completes a valuable six-object sample with clean new data, but the pulse-filtering step and an internal inconsistency on wavelength dependence need work before the heat-redistribution claims are solid. read the letter →

arxiv 2501.05609 v1 pith:NYLDLWGP submitted 2025-01-09 astro-ph.SR astro-ph.EP

classification astro-ph.SRastro-ph.EP
keywords irradiatedbrowndwarfswhitedwarfbinariesphase-resolvedspectroscopyheatredistributionday-nighttemperaturecontrastZZCetipulsationscloudyatmosphereshotJupiteranalogs
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

This paper tries to establish that GD 1400B, the faintest and least-irradiated brown dwarf companion in a six-object white-dwarf binary sample, has an atmosphere that moves heat from day to night so efficiently that its two hemispheres are almost indistinguishable. Using Hubble/WFC3 phase-resolved spectra, the authors separate the white dwarf's ZZ Ceti pulsations from the brown dwarf's rotational signal, recovering a weak phase-curve amplitude of about 1%. They find day and night brightness temperatures that differ by only 19 ± 102 K on average, and cloud-inclusive atmosphere models fit both hemispheres better than cloudless models, which they interpret as global cloud coverage. Across the full six-object sample, day–night temperature contrasts stay near zero below an irradiation of roughly 10⁹ erg/s/cm² and increase with irradiation above that level. If correct, these results place a low-irradiation benchmark on how brown dwarfs and, by extension, warm Jupiters redistribute stellar energy.

What carries the argument

The central mechanism is a simple four-parameter radiative and energy redistribution model that builds a temperature map of the tidally-locked brown dwarf from the Bond albedo $A_B$, the irradiation redistribution fraction $f_{\mathrm{irr-red}}$, the non-irradiated brown dwarf temperature $T_{\mathrm{non-irr}}$, and the viewing inclination $i$. The model adds absorbed irradiation to the day side, redistributes a fraction $f_{\mathrm{irr-red}}$ of it uniformly over the whole surface, and then integrates over the inclined hemisphere to compare with observed brightness temperatures. This is supported by a brightness-based filter that classifies the white dwarf's ZZ Ceti pulsations as 'in pulse' versus 'baseline' epochs, removing the highest-flux points so that the remaining epochs trace the brown dwarf's rotational phase curve, and by one-dimensional cloud-inclusive atmosphere retrievals that quantify how much better cloudy models fit the day and night spectra.

What would settle it

Re-analyze the same 121 G141 exposures without the brightness-cut filter, jointly fitting the orbital phase curve and the known ZZ Ceti pulsation frequencies; if the recovered day–night brightness-temperature difference shifts by more than the quoted uncertainties, or if the pulse-classified epochs correlate with orbital phase, the efficient-redistribution conclusion is not secure.

Watch

Extended reading notes

Core claim

The paper's central claim is that GD 1400B, the least irradiated brown dwarf in the 'Dancing with the Dwarfs' sample, undergoes highly efficient day-to-night heat redistribution and is covered by global clouds. After modeling and subtracting the white dwarf, the extracted day- and night-side spectra of GD 1400B show the same water, sodium, and potassium features, with a slightly bluer day side and an average brightness-temperature difference of 19 ± 102 K. A simple radiative and energy redistribution model fits these temperatures with a redistribution fraction of $f_{\mathrm{irr-red}} = 0.81 \pm 0.08$, a Bond albedo of $A_B = 0.19^{+0.09}_{-0.03}$, a non-irradiated temperature of $T_{\mathrm{non-irr}} = 1810 \pm 70$ K, and an inclination of $59.2^{+6.7}_{-1.3}$ degrees. Cloud-inclusive model retrievals fit both hemispheres better than cloudless models, which the paper reads as evidence for global cloud coverage, and it argues that cloud-free retrievals would overestimate atmospheric metallicity. Across the six-object sample, the paper identifies a qualitative transition near $10^9$ erg/s/cm²: below this irradiation, day–night temperature contrasts are nearly constant and consistent with efficient heat redistribution; above it, contrasts grow with increasing irradiation.

Load-bearing premise

The findings rest on the assumption that the white dwarf's pulsations are pure brightness changes that can be filtered out by discarding the brightest epochs, without distorting the brown dwarf's rotational phase signal.

Editorial extensions

If this is right

  • GD 1400B joins a regime of low-irradiated substellar atmospheres where day and night hemispheres are nearly isothermal, implying that warm Jupiters in the same irradiation range should show weak phase-curve modulation.
  • Cloud-inclusive models fit both hemispheres substantially better than cloud-free ones, so cloud-free retrievals of similar objects would misattribute molecular opacities and push metallicity estimates above solar.
  • The sample-level transition near $10^9$ erg/s/cm² predicts that day–night temperature contrasts grow with irradiation only above that threshold, while remaining nearly constant below it.
  • The measured phase-curve amplitude of about 1% establishes a sensitivity benchmark for mapping weakly irradiated substellar companions with HST/WFC3 phase-resolved spectroscopy.

Reading between the lines

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

  • If the irradiation threshold at $10^9$ erg/s/cm² holds, future phase curves of warm Jupiters in that same irradiation range should be nearly flat; a quantitative overlap between the WD–BD and hot-Jupiter samples would directly test whether these brown dwarfs are true analogs.
  • A direct check: re-analyze the same exposures without the brightness-cut filter and jointly fit the orbital phase curve with the known ZZ Ceti pulsation frequencies; if the pulse-classified epochs correlate with orbital phase, or if the recovered day–night temperature difference shifts by more than the quoted uncertainty, the efficient-redistribution conclusion would need revision.
  • The non-irradiated temperature of 1810 ± 70 K is higher than typical L6–L7 field brown dwarfs, suggesting GD 1400B may be at or above the hydrogen-burning minimum mass, which would change how the internal heat term is interpreted in the redistribution model.
  • The slight excess amplitude in the H′ sub-band light curve, if confirmed, provides a wavelength-dependent probe of the pressure levels where the circulation pattern changes; comparing it with 3D general circulation models would test the assumed uniform redistribution.
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 / 5 minor

Summary. The manuscript presents HST/WFC3 G141 phase-resolved spectroscopy of the WD+BD binary GD 1400, covering more than one full rotation of the brown dwarf. The authors attempt to remove ZZ Ceti pulsations from the white dwarf by classifying epochs as 'pulse' or 'baseline' using a flux threshold, then fit a low-order Fourier phase curve to the baseline points. From this they derive a ~1% rotational modulation amplitude, extract day- and night-side BD spectra, compute brightness temperatures, fit a simple radiative/redistribution model and PETRA atmospheric retrievals, and compare all six objects in the 'Dancing with the Dwarfs' sample. The paper claims efficient day-to-night heat redistribution on GD 1400B, global cloud coverage, and a sample-wide transition in redistribution efficiency near an irradiation level of 10^9 erg/s/cm^2.

Significance. If the central claims hold, this paper provides a valuable low-irradiation anchor for WD-BD phase-resolved studies and completes a homogeneous six-object HST program. The data reduction follows established pipelines, the observations have full orbital phase coverage, and the WD subtraction is carefully propagated through the Teff/log(g) and scaling uncertainties. The qualitative comparison across six systems is a useful community resource. However, the most interesting physical conclusions—efficient redistribution, global clouds, and the irradiation threshold—rest on several points that need substantially more support: the pulse-filtering step, the statistical significance of the wavelength dependence, and the reality of the small day–night temperature difference.

major comments (4)
  1. [Section 4.1] The pulse-filtering step is load-bearing and insufficiently validated. The manuscript discards 36% of the epochs as 'in pulse' based on a per-orbit flux threshold (median of the faintest third plus one-third of the standard deviation), and all subsequent products—the broadband amplitude, the day/night spectra, the brightness temperatures, and the f_irr_red value—are derived from the remaining baseline points. This procedure assumes that ZZ Ceti pulsations are additive, wavelength-independent, and uncorrelated with orbital phase. Figure 4 shows that pulse spectra are broadband, but it does not test whether the selection biases the recovered orbital phase curve or removes real day-side flux. Because the reported BD modulation (~1%) is smaller than the pulsation amplitude (up to 4%), a systematic correlation between pulsation and orbital phase, or a distortion introduced by the per-orbit normalization, could change the recovered amplitude and day/night spectra at a level comparable to the signal. I recommend adding an explicit validation test (e.g., injecting a known orbital signal into the light curve, varying the classification threshold, or fitting the pulsations jointly with the orbital model) and reporting how the derived temperatures and f_irr_red respond.
  2. [Abstract and Section 4.2] The claim that sub-band light curves show 'no significant wavelength dependence on amplitude or phase shift' is contradicted by the reported numbers. The H'-band amplitude is 1.975±0.049%, the J-band amplitude is 1.761±0.035%, and the Water-band amplitude is 1.699±0.049%. The H'–J difference (0.214±0.060%) and the H'–Water difference (0.276±0.069%) are both significant at roughly 3.6–4 sigma. The manuscript should either revise the abstract and the corresponding conclusion bullet to state that a modest wavelength dependence is present in H' relative to J/Water, or provide a statistical justification for why these differences should be treated as insignificant.
  3. [Section 5.4] The average day–night brightness temperature difference is reported as 19±102 K, which is consistent with zero; the statement that the day side is 'slightly hotter' is therefore not a detection but an upper limit. This matters because the small day–night contrast is the empirical basis for the efficient-redistribution interpretation in Section 6 and for the sample-level trend in Section 8. The paper should rephrase these claims as an upper limit on the day–night brightness temperature difference (roughly <120 K at 1 sigma) and discuss the implications for f_irr_red under that upper limit, rather than treating 19 K as a measured value.
  4. [Section 6] The grid-search parameters (A_B, f_irr_red, T_non-irr, inclination) are fit to exactly two measured quantities—the inverse-variance-weighted day and night brightness temperatures—so the four-parameter model is strongly degenerate and the reported confidence intervals on A_B, f_irr_red, T_non-irr, and i likely underestimate the range of acceptable models. For example, an increase in T_non-irr with a compensating decrease in f_irr_red could produce nearly the same day and night temperatures. Before interpreting f_irr_red=0.81±0.08 as evidence of efficient redistribution, the manuscript should quantify this degeneracy (e.g., by showing joint posteriors or by fixing or marginalizing over one parameter) and state explicitly which parameter combinations are ruled out by the two temperature constraints.
minor comments (5)
  1. [Table 1] Table 1 lists 'RBD Radius' twice, with values 0.099±0.018 and 0.099±0.0185; one entry should be removed or clarified in the table header.
  2. [References] The reference list contains Farihi & Christopher (2004a) and (2004b) with identical bibliographic data, and the in-text citations appear to use both labels; this should be consolidated to avoid confusion.
  3. [Section 5.3] The selection of the 'five brightest' and 'five faintest' spectra should state explicitly whether these were chosen from the full 121-epoch sample or from the baseline subset, and how the ±5 degrees phase constraint was applied to the median-combined spectra.
  4. [Figure 12 / Section 8] The sample-wide trends are based on six objects and are presented without propagated uncertainties in the irradiation fluxes; the paper should state explicitly that the apparent turn-around near 10^9 erg/s/cm^2 is illustrative, and ideally add error bars or a quantitative scatter measure to Figure 12.
  5. [Global typographical issues] The draft contains numerous typographical artifacts in the title and section headings (e.g., 'T elescope', 'W ARF', 'Obser v ations', 'T ext', 'T able'); these should be corrected in the published version.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the fitted redistribution parameters are quantitative interpretations of measured brightness temperatures, not independent predictions derived from the data by construction.

full rationale

The paper's central claim is that GD 1400B shows a small day-night temperature contrast and efficient heat redistribution, inferred from phase-resolved HST spectra. The energy redistribution parameters (A_B, f_irr_red, T_non-irr, inclination) are obtained from an explicit grid search that minimizes residuals between model hemisphere-integrated temperatures and the observed day/night brightness temperatures (Section 6). This is a standard parameter-estimation procedure: the model is a forward model with stated physical assumptions, and the fitted f_irr_red is a compressed description of the observed small contrast, not a quantity that is defined as equal to the observation. The wording 'predicting' in the conclusions is loose, but the paper itself describes the parameters as best-fit values from a residual calculation, so there is no reduction of a prediction to its input by construction. The day/night brightness temperatures are measured directly from spectra selected by brightness extremes; selecting the five brightest and five faintest spectra does not by itself force the 19 K difference, which is a data-derived quantity. The cloud-inclusive conclusion is based on a direct comparison of two model families with the same spectra, with quoted chi-squared improvements, not on an ansatz imported by self-citation. Self-citations to Amaro et al. (2023), Amaro et al. (2024), and Zhou et al. (2022) provide models or methods that are described in the text and are not used as unverified uniqueness theorems or as substitutes for the present analysis. The pulsation-filtering procedure in Section 4.1 is an assumption about ZZ Ceti contamination and could bias the phase-curve amplitude, but that is a potential systematic error in the data analysis, not a circular derivation: the filtered baseline points do not by construction equal the model's redistribution fraction. No equation in the paper makes the derived temperatures, phase-curve amplitude, or cloud preference equivalent to the fitted parameters or to a cited prior result. The paper is self-contained in its derivation chain, and the main limitations are statistical and model-dependent rather than circular.

Assumptions & free parameters 7 free parameters · 6 assumptions · 0 invented entities

The central claims rest on seven fitted parameters and a set of standard atmospheric modeling assumptions. The simple redistribution model and the PETRA retrievals contribute most of the free parameters. No new physical entities, particles, or forces are introduced. The paper's conclusion of efficient heat redistribution and global clouds depends on parameters that are fit to the same data they are said to reproduce.

free parameters (7)
  • Albedo A_B = 0.19 +0.09 -0.03
    Fitted via grid search to match the observed day and night brightness temperatures of GD 1400B (Section 6).
  • Irradiation redistribution fraction f_irr_red = 0.81 ± 0.08
    Fitted via grid search; this parameter is central to the claim of efficient day-to-night heat redistribution (Section 6).
  • Non-irradiated brown dwarf temperature T_non-irr = 1810 ± 70 K
    Fitted via grid search; the high value is used to argue GD 1400B may be near the hydrogen-burning limit (Section 6).
  • Inclination i = 59.2 +6.7 -1.3 degrees
    Fitted via grid search, although prior orbital constraints may inform it (Section 6).
  • Internal temperature T_int in PETRA retrievals = Day 1788 +140 -216 K; Night 1702 +255 -168 K
    Free parameter in cloudy retrievals used to claim clouds are present (Section 7).
  • Cloud opacity magnitude and cloud-top pressure = Not tightly constrained; cloud-top between 50 mbar and 1 bar (day) and 5 to 10 bars (night)
    Free parameters in the cloudy PETRA retrievals; the improvement in chi-squared is used to argue for global clouds (Section 7).
  • Pulse classification threshold = median of faintest third + 1/3 sigma
    Hand-chosen threshold that determines which 36% of epochs are discarded as 'in pulse'; directly affects phase curve amplitude (Section 4.1).
assumptions (6)
  • domain assumption The brown dwarf is tidally locked, so its orbital period equals its rotation period.
    Used throughout Section 4 to interpret orbital phase as rotational phase; standard for short-period WD-BD binaries.
  • domain assumption The white dwarf's spectrum is well described by a pure-hydrogen Koester (2010) model with Teff = 11,939 K and log g = 8.123.
    Invoked in Section 5.2 to subtract the WD contribution; errors in this model propagate directly into the extracted BD spectra.
  • ad hoc to paper ZZ Ceti pulsations are stochastic, additive, and can be separated from the BD rotational signal by a simple flux threshold.
    The entire 'in pulse' classification in Section 4.1 depends on this assumption; it is calibrated to the data rather than independently justified.
  • domain assumption The 1D PHOENIX/PETRA atmosphere models with the Parmentier-Guillot parameterization and chemical equilibrium are adequate forward models for GD 1400B.
    Used in Section 7 to retrieve T_int, [Fe/H], and cloud properties; the paper notes that neither model fully captures all spectral features.
  • domain assumption The simple energy redistribution model with uniform day and night temperatures and instantaneous redistribution captures the observable temperature map.
    This is the basis of the grid search in Section 6; it ignores horizontal temperature gradients within each hemisphere and any circulation dynamics.
  • standard math Brightness temperatures are obtained by inverting the Planck function at each wavelength, assuming the emission is blackbody-like at the local temperature.
    Used in Section 5.4 to convert spectra to brightness temperatures; standard in the field but an approximation for non-blackbody molecular atmospheres.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Phase-resolved Hubble Space Telescope WFC3 Spectroscopy of Weakly-Irradiated Brown Dwarf GD 1400 and Energy Redistribution-Irradiation Trends in Six WD$-$BD Binaries." pith.science (2026). https://pith.science/paper/NYLDLWGP

@misc{pith2026250105609,
  author       = {Pith},
  title        = {Pith review of: Phase-resolved Hubble Space Telescope WFC3 Spectroscopy of Weakly-Irradiated Brown Dwarf GD 1400 and Energy Redistribution-Irradiation Trends in Six WD$-$BD Binaries},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/NYLDLWGP}},
  note         = {Machine review of arXiv:2501.05609}
}
abstract

Irradiated brown dwarfs offer a unique opportunity to bridge the gap between stellar and planetary atmospheres. We present high-quality $\mathit{HST}$/WFC3/G141 phase-resolved spectra of the white dwarf + brown dwarf binary GD 1400, covering more than one full rotation of the brown dwarf. Accounting for brightness variations caused by ZZ Ceti pulsations, we revealed weak ($\sim$1\%) phase curve amplitude modulations originating from the brown dwarf. Sub-band light curve exploration in various bands showed no significant wavelength dependence on amplitude or phase shift. Extracted day- and night-side spectra indicated chemically similar hemispheres, with slightly higher day-side temperatures, suggesting efficient heat redistribution or dominance of radiative escape over atmospheric circulation. A simple radiative and energy redistribution model reproduced observed temperatures well. Cloud-inclusive models fit the day and night spectra better than cloudless models, indicating global cloud coverage. We also begin qualitatively exploring atmospheric trends across six irradiated brown dwarfs, from the now complete "Dancing with Dwarfs" WD$-$BD sample. The trend we find in the day-side/night-side temperature and irradiation levels is consistent with efficient heat redistribution for irradiation levels less than $\sim$10$^9$ ergs/s/cm$^2$ and decreasing efficiency above that level.

Figures

Figures reproduced from arXiv: 2501.05609 by the authors.

Figure 1
Figure 1. Brightest and faintest spectra of GD 1400 from our HST observations, after data reduction steps described in Section 3. Filter response profiles, used for sub-band light curve analyses, are shown as shaded regions with their corresponding labels. to be mostly accounted for, allowing for analysis of the irradiated BD’s atmosphere. Short-period WD–BD binaries are a rare out￾come of binary star evolution, with only a h… view at source ↗
Figure 2
Figure 2. Left: Broadband light curve of GD 1400 with best-fit light curve model, normalized to the median value of the faintest third epochs in each orbit. This low-order model represents the flux modulations owing to the tidally-locked orbit of the companion BD. Epochs classified as “baseline” are shown as black outlined markers, while epochs classified as “pulse” are shown as empty, red triangles. Errorbars are present, bu… view at source ↗
Figure 3
Figure 3. Phase-folded sub-band light curves in the J (in￾digo triangle), Water (pink circle), and H′ (golden square) bands along with best-fit phase curves as dashed, dotted, and solid lines, respectively. A phase of 0 corresponds to the first HST observation. We attempted higher order phase curve fits, but decided that the unstable WD pulsations might con￾taminate the fits. We observed a higher amplitude in the H′ -band pha… view at source ↗
Figures from the paper (7 more)
Figure 5
Figure 5. Figure 5: Modeled flux contribution of the primary WD GD 1400A, shown with two sources of uncertainty: the first being from Teff and log10(g) during the creation of the model (black error bars) and the second being from RBD and distance, which affects the flux scaling (gray shad…
Figure 7
Figure 7. Figure 7: Brightness temperatures for the day and night sides of GD 1400B, exhibiting nearly identical, strong wave￾length dependence. Shaded regions behind each curve de￾pict 1-σ uncertainty. Average Day−Night temperature dif￾ference is 19±102 Kelvin, with small deviations acro…
Figure 8
Figure 8. Figure 8: Top: 3D projection of the temperature distribu￾tion on GD 1400B, created by the simple heat redistribution model in Section 6. Relative radii of the WD (pale blue cir￾cle) and BD are to scale, but the orbital separation is zoomed in. Bottom: Full 2D projection of the t…
Figure 9
Figure 9. Figure 9: Comparison of the current best-fitting models from the PETRA retrievals (Section 7) to the observations of GD 1400B (orange and purple). Neither model fully captures all spectroscopic features, but a model with clouds (dashed line) provides a better fit than a cloud-fr…
Figure 10
Figure 10. Figure 10: Day and night spectra for the Dancing with the Dwarfs (PI: Apai) WD–BD sample, ordered from most to least irradiated (top to bottom). Spectra were normalized to the median flux of each spectrum and offset for visual clarity. Each pair of spectra is labeled by the corr…
Figure 11
Figure 11. Figure 11: Brightness temperature sequence for the Dancing with the Dwarfs (PI: Apai) WD–BD sample, ordered from most to least irradiated (left to right). The total irradiation flux received by each BD is labeled on the bar above the brightness temperature panels, showing that o…
Figure 12
Figure 12. Figure 12: Comparison between irradiation strength and derived brightness temperatures for day (left) and night (middle) hemispheres as well as the fractional day−night contrast (right). With increasing irradiation, the day-side temperatures decrease from 2000 to 1600 K, up unti…

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

75 extracted references · 7 canonical work pages

  1. [1]

    C., Apai, D., Zhou, Y., et al

    Amaro, R. C., Apai, D., Zhou, Y., et al. 2023, ApJ, 948, 129, doi: 10.3847/1538-4357/acbfb3

  2. [2]

    C., Apai, D., Lew, B

    Amaro, R. C., Apai, D., Lew, B. W. P., et al. 2024, ApJ, 966, 4, doi: 10.3847/1538-4357/ad354c

  3. [3]

    2013, ApJ, 768, 121, doi: 10.1088/0004-637X/768/2/121 Astropy Collaboration, Robitaille, T

    Apai, D., Radigan, J., Buenzli, E., et al. 2013, ApJ, 768, 121, doi: 10.1088/0004-637X/768/2/121 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., Sip˝ ocz, B. M., et al. 2018, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f Astropy Collaboration,...

  4. [4]

    2014, PASA, 31, e043, doi: 10.1017/pasa.2014.38

    Bailey, J. 2014, PASA, 31, e043, doi: 10.1017/pasa.2014.38

  5. [5]

    G., Marley, M

    Beatty, T. G., Marley, M. S., Gaudi, B. S., et al. 2019, AJ, 158, 166, doi: 10.3847/1538-3881/ab33fc

  6. [6]

    J., Dang, L., Cowan, N

    Bell, T. J., Dang, L., Cowan, N. B., et al. 2021, MNRAS, 504, 3316, doi: 10.1093/mnras/stab1027

  7. [7]

    T., & Guilliat, A

    Beltz, H., Rauscher, E., Roman, M. T., & Guilliat, A. 2022, AJ, 163, 35, doi: 10.3847/1538-3881/ac3746

  8. [8]

    1996, A&AS, 117, 393, doi: 10.1051/aas:1996164

    Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393, doi: 10.1051/aas:1996164

Show all 75 references
  1. [9]

    V., et al

    Beuermann, K., Dreizler, S., Hessman, F. V., et al. 2013, A&A, 558, A96, doi: 10.1051/0004-6361/201322241 Bogn´ ar, Z., Kawaler, S. D., Bell, K. J., et al. 2020, A&A, 638, A82, doi: 10.1051/0004-6361/202037470

  2. [10]

    N., & Flateau, D

    Buenzli, E., Apai, D., Radigan, J., Reid, I. N., & Flateau, D. 2014, ApJ, 782, 77, doi: 10.1088/0004-637X/782/2/77

  3. [11]

    V., et al

    Buenzli, E., Apai, D., Morley, C. V., et al. 2012, ApJL, 760, L31, doi: 10.1088/2041-8205/760/2/L31

  4. [12]

    R., Hogan, E., Dobbie, P

    Burleigh, M. R., Hogan, E., Dobbie, P. D., Napiwotzki, R., & Maxted, P. F. L. 2006, MNRAS, 373, L55, doi: 10.1111/j.1745-3933.2006.00242.x

  5. [13]

    R., Steele, P

    Burleigh, M. R., Steele, P. R., Dobbie, P. D., et al. 2011, in American Institute of Physics Conference Series, Vol. 1331, Planetary Systems Beyond the Main Sequence, ed. S. Schuh, H. Drechsel, & U. Heber, 262–270, doi: 10.1063/1.3556209

  6. [14]

    B., Lunine, J

    Burrows, A., Hubbard, W. B., Lunine, J. I., & Liebert, J. 2001, Reviews of Modern Physics, 73, 719, doi: 10.1103/RevModPhys.73.719

  7. [15]

    L., Burleigh, M

    Casewell, S. L., Burleigh, M. R., Wynn, G. A., et al. 2012, ApJL, 759, L34, doi: 10.1088/2041-8205/759/2/L34 16 Amaro et al

  8. [16]

    L., Braker, I

    Casewell, S. L., Braker, I. P., Parsons, S. G., et al. 2018, MNRAS, 476, 1405, doi: 10.1093/mnras/sty245

  9. [17]

    L., Belardi, C., Parsons, S

    Casewell, S. L., Belardi, C., Parsons, S. G., et al. 2020, MNRAS, 497, 3571, doi: 10.1093/mnras/staa1608

  10. [18]

    L., Burleigh, M

    Casewell, S. L., Burleigh, M. R., Napiwotzki, R., et al. 2024, MNRAS, 535, 753, doi: 10.1093/mnras/stae2301

  11. [19]

    C., Marley, M

    Cushing, M. C., Marley, M. S., Saumon, D., et al. 2008, ApJ, 678, 1372, doi: 10.1086/526489

  12. [20]

    2000, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol

    Kotzlowski, H. 2000, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 4008, Optical and IR Telescope Instrumentation and Detectors, ed. M. Iye & A. F. Moorwood, 534–545, doi: 10.1117/12.395512

  13. [21]

    D., Burleigh, M

    Dobbie, P. D., Burleigh, M. R., Levan, A. J., et al. 2005, MNRAS, 357, 1049, doi: 10.1111/j.1365-2966.2005.08720.x

  14. [22]

    J., & Liu, M

    Dupuy, T. J., & Liu, M. C. 2017, ApJS, 231, 15, doi: 10.3847/1538-4365/aa5e4c

  15. [23]

    Eastman, J., Siverd, R., & Gaudi, B. S. 2010, PASP, 122, 935, doi: 10.1086/655938

  16. [24]

    2004a, AJ, 128, 1868, doi: 10.1086/423919 —

    Farihi, J., & Christopher, M. 2004a, AJ, 128, 1868, doi: 10.1086/423919 —. 2004b, AJ, 128, 1868, doi: 10.1086/423919

  17. [25]

    G., & G¨ ansicke, B

    Farihi, J., Parsons, S. G., & G¨ ansicke, B. T. 2017, Nature Astronomy, 1, 0032, doi: 10.1038/s41550-016-0032

  18. [26]

    Farihi, J., Zuckerman, B., & Becklin, E. E. 2005, AJ, 130, 2237, doi: 10.1086/491707

  19. [27]

    2003, ApJ, 591, 1184, doi: 10.1086/375490

    Fontaine, G., Bergeron, P., Bill` eres, M., & Charpinet, S. 2003, ApJ, 591, 1184, doi: 10.1086/375490

  20. [28]

    1982, ApJ, 258, 651, doi: 10.1086/160115

    Gustafson, J., & Lacombe, P. 1982, ApJ, 258, 651, doi: 10.1086/160115

  21. [29]

    J., Lodders, K., Marley, M

    Fortney, J. J., Lodders, K., Marley, M. S., & Freedman, R. S. 2008, ApJ, 678, 1419, doi: 10.1086/528370

  22. [30]

    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

  23. [31]

    2003, ApJ, 594, 1011, doi: 10.1086/377080

    Hubeny, I., Burrows, A., & Sudarsky, D. 2003, ApJ, 594, 1011, doi: 10.1086/377080

  24. [32]

    Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90, doi: 10.1109/MCSE.2007.55

  25. [33]

    Kotze, M. M. 2014, MNRAS, 437, 1836, doi: 10.1093/mnras/stt2029

  26. [34]

    2010, Mem

    Koester, D. 2010, Mem. Soc. Astron. Italiana, 81, 921

  27. [35]

    2001, A&A, 378, 556, doi: 10.1051/0004-6361:20011235

    Koester, D., Napiwotzki, R., Christlieb, N., et al. 2001, A&A, 378, 556, doi: 10.1051/0004-6361:20011235

  28. [36]

    2022, ApJL, 941, L40, doi: 10.3847/2041-8213/aca975

    Tan, X. 2022, ApJL, 941, L40, doi: 10.3847/2041-8213/aca975

  29. [37]

    R., Parmentier, V., et al

    Kreidberg, L., Line, M. R., Parmentier, V., et al. 2018, AJ, 156, 17, doi: 10.3847/1538-3881/aac3df K¨ ummel, M., Walsh, J. R., Pirzkal, N., Kuntschner, H., &

  30. [38]

    2009, PASP, 121, 59, doi: 10.1086/596715

    Pasquali, A. 2009, PASP, 121, 59, doi: 10.1086/596715

  31. [39]

    Lew, B. W. P., Apai, D., Zhou, Y., et al. 2022, AJ, 163, 8, doi: 10.3847/1538-3881/ac3001

  32. [40]

    R., Marley, M

    Line, M. R., Marley, M. S., Liu, M. C., et al. 2017, ApJ, 848, 83, doi: 10.3847/1538-4357/aa7ff0

  33. [41]

    P., Casewell, S

    Littlefair, S. P., Casewell, S. L., Parsons, S. G., et al. 2014, MNRAS, 445, 2106, doi: 10.1093/mnras/stu1895

  34. [42]

    D., & Barman, T

    Lothringer, J. D., & Barman, T. S. 2020, AJ, 159, 289, doi: 10.3847/1538-3881/ab8d33

  35. [43]

    D., Zhou, Y., Apai, D., et al

    Lothringer, J. D., Zhou, Y., Apai, D., et al. 2024, ApJ, 968, 126, doi: 10.3847/1538-4357/ad43da

  36. [44]

    2018, AJ, 155, 11, doi: 10.3847/1538-3881/aa984f

    Manjavacas, E., Apai, D., Zhou, Y., et al. 2018, AJ, 155, 11, doi: 10.3847/1538-3881/aa984f

  37. [45]

    S., & Robinson, T

    Marley, M. S., & Robinson, T. D. 2015, ARA&A, 53, 279, doi: 10.1146/annurev-astro-082214-122522

  38. [46]

    Burleigh, M. R. 2006, Nature, 442, 543, doi: 10.1038/nature04987

  39. [47]

    V., Mukherjee, S., Marley, M

    Morley, C. V., Mukherjee, S., Marley, M. S., et al. 2024, arXiv e-prints, arXiv:2402.00758, doi: 10.48550/arXiv.2402.00758

  40. [48]

    2023, AJ, 166, 5, doi: 10.3847/1538-3881/accc25

    Owens, D., Xu, S., Manjavacas, E., et al. 2023, AJ, 166, 5, doi: 10.3847/1538-3881/accc25

  41. [49]

    J., Showman, A

    Parmentier, V., Fortney, J. J., Showman, A. P., Morley, C., & Marley, M. S. 2016, ApJ, 828, 22, doi: 10.3847/0004-637X/828/1/22

  42. [50]

    2014, A&A, 562, A133, doi: 10.1051/0004-6361/201322342

    Parmentier, V., & Guillot, T. 2014, A&A, 562, A133, doi: 10.1051/0004-6361/201322342

  43. [51]

    G., Hermes, J

    Parsons, S. G., Hermes, J. J., Marsh, T. R., et al. 2017, MNRAS, 471, 976, doi: 10.1093/mnras/stx1610

  44. [52]

    Perez-Becker, D., & Showman, A. P. 2013, ApJ, 776, 134, doi: 10.1088/0004-637X/776/2/134

  45. [53]

    2017, MNRAS, 471, 948, doi: 10.1093/mnras/stx1611

    Rappaport, S., Vanderburg, A., Nelson, L., et al. 2017, MNRAS, 471, 948, doi: 10.1093/mnras/stx1611

  46. [54]

    M., & Komacek, T

    Rogers, T. M., & Komacek, T. D. 2014, ApJ, 794, 132, doi: 10.1088/0004-637X/794/2/132

  47. [55]

    T., Kempton, E

    Roman, M. T., Kempton, E. M. R., Rauscher, E., et al. 2021, ApJ, 908, 101, doi: 10.3847/1538-4357/abd549

  48. [56]

    2024, MNRAS, 531, 1056, doi: 10.1093/mnras/stae984

    Roth, A., Parmentier, V., & Hammond, M. 2024, MNRAS, 531, 1056, doi: 10.1093/mnras/stae984

  49. [57]

    P., Fortney, J

    Showman, A. P., Fortney, J. J., Lewis, N. K., & Shabram, M. 2013, ApJ, 762, 24, doi: 10.1088/0004-637X/762/1/24

  50. [58]

    P., & Guillot, T

    Showman, A. P., & Guillot, T. 2002, A&A, 385, 166, doi: 10.1051/0004-6361:20020101

  51. [59]

    P., & Polvani, L

    Showman, A. P., & Polvani, L. M. 2011, ApJ, 738, 71, doi: 10.1088/0004-637X/738/1/71 GD 1400 17

  52. [60]

    P., Tan, X., & Parmentier, V

    Showman, A. P., Tan, X., & Parmentier, V. 2020, SSRv, 216, 139, doi: 10.1007/s11214-020-00758-8

  53. [61]

    F., Cutri, R

    Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163, doi: 10.1086/498708

  54. [62]

    R., Burleigh, M

    Steele, P. R., Burleigh, M. R., Farihi, J., et al. 2009, A&A, 500, 1207, doi: 10.1051/0004-6361/200911694

  55. [63]

    R., Saglia, R

    Steele, P. R., Saglia, R. P., Burleigh, M. R., et al. 2013, MNRAS, 429, 3492, doi: 10.1093/mnras/sts620

  56. [64]

    D., Batalha, N

    Tan, X., Komacek, T. D., Batalha, N. E., et al. 2024, MNRAS, 528, 1016, doi: 10.1093/mnras/stae050

  57. [65]

    Tan, X., & Showman, A. P. 2020, ApJ, 902, 27, doi: 10.3847/1538-4357/abb3d4

  58. [66]

    E., et al

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

  59. [67]

    A., Horch, E

    Wang, J., Fischer, D. A., Horch, E. P., & Huang, X. 2015, ApJ, 799, 229, doi: 10.1088/0004-637X/799/2/229

  60. [68]

    Winget, D. E. 1988, in IAU Symposium, Vol. 123, Advances in Helio- and Asteroseismology, ed. J. Christensen-Dalsgaard & S. Frandsen, 305

  61. [69]

    S., et al

    Yang, H., Apai, D., Marley, M. S., et al. 2016, ApJ, 826, 8, doi: 10.3847/0004-637X/826/1/8

  62. [70]

    2020, Research in Astronomy and Astrophysics, 20, 099, doi: 10.1088/1674-4527/20/7/99

    Zhang, X. 2020, Research in Astronomy and Astrophysics, 20, 099, doi: 10.1088/1674-4527/20/7/99

  63. [71]

    2023, ApJ, 957, 22, doi: 10.3847/1538-4357/acee7d

    Zhang, X., Li, C., Ge, H., & Le, T. 2023, ApJ, 957, 22, doi: 10.3847/1538-4357/acee7d

  64. [72]

    Zhang, X., & Showman, A. P. 2018, ApJ, 866, 2, doi: 10.3847/1538-4357/aada7c

  65. [73]

    Zhou, Y., Apai, D., Lew, B. W. P., & Schneider, G. 2017, AJ, 153, 243, doi: 10.3847/1538-3881/aa6481

  66. [74]

    2022, AJ, 163, 17, doi: 10.3847/1538-3881/ac3095

    Zhou, Y., Apai, D., Tan, X., et al. 2022, AJ, 163, 17, doi: 10.3847/1538-3881/ac3095

  67. [75]

    C., Apai, D., et al

    Zhou, Y., Amaro, R. C., Apai, D., et al. 2024, Dwarfs of Fire and Ice: Mapping the Irradiated Atmospheres of White Dwarf-Brown Dwarf Binaries with NIRSpec PRISM Phase Curves, JWST Proposal. Cycle 3, ID. #4967

Pith tools

Reviewed August 10, 2026 · model on record in the stance chip above.