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Probing planet formation and disk substructures in the inner disk of Herbig Ae stars with CO rovibrational emission

T0 review · 3 major / 5 minor · reviewed 2026-08-14 · deepseek-v4-flash

Pith's one-line read Two inner-disk configurations explain the CO vibrational dichotomy in Herbig Ae disks.

desk verdict A plausible two-family explanation for the CO v2/v1–radius trend, but the low-ratio branch rests on an inner-rim dissociation that the model itself does not predict. read the letter →

arxiv 1909.02031 v1 pith:ISTTIITQ submitted 2019-09-04 astro-ph.EP astro-ph.GAastro-ph.SR

classification astro-ph.EPastro-ph.GAastro-ph.SR
keywords protoplanetarydisksHerbigAestarsCOrovibrationalemissioninnerdiskstructuregas-to-dustratiodusttrapscavitiesthermo-chemicalmodels
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 sets out to explain a counterintuitive observational pattern in planet-forming disks around Herbig Ae stars: CO gas emitting close to the star (within about 5 AU) shows a low vibrational excitation ratio, while CO gas emitting only at larger radii shows a high ratio. Using slab models and a grid of thermo-chemical disk models compared directly to observed line fluxes, profiles, and emitting radii, the authors argue that the two regimes require different physical structures. Low-ratio, small-radius emission lives in a warm (400–1300 K) inner disk surface with gas-to-dust ratios below 1000 and CO columns below $10^{18}$ cm$^{-2}$, with no CO at the dusty sublimation rim because the gas there is heated above 3000 K and dissociated. High-ratio, large-radius emission is explained by an inner cavity of at least 5 AU in both gas and dust, with a cool (100–300 K), dense CO reservoir at the cavity wall requiring gas-to-dust ratios above 10,000. If right, the line ratio becomes a practical probe of inner-disk substructures and of dust trapping that may be caused by giant planets.

What carries the argument

The load-bearing machinery is a two-step modeling chain. First, analytic slab models and non-LTE radiative-transfer slab models map the vibrational ratio $v_2/v_1$ (the flux ratio between CO lines from the second and first vibrationally excited states) as a function of temperature, CO column, density, and infrared radiation field; this isolates the allowed parameter regions. Second, a grid of thermo-chemical disk models with varying inner radius (0.4–15 AU) and gas-to-dust ratio (10–10000) produces synthetic CO line profiles, fluxes, and ratios that are analysed exactly as the observations, including removal of the inner-rim contribution to isolate disk-surface emission. The central identity used throughout is the peak line-surface-brightness relation for a slab, which shows how optical depth in the $v_1$ line pushes the $v_2/v_1$ ratio up with column, and the requirement that gas and dust temperatures remain coupled in the emitting layer.

What would settle it

Search for CO rovibrational emission from the inner dust rim of a low-$v_2/v_1$ Herbig disk using high-angular-resolution 4.7 micron interferometry or spatially resolved spectroscopy: a detection of rim CO above the model's upper limits would break the thermal-dissociation premise.

Watch

Extended reading notes

Core claim

The central discovery claim is that the observed anti-correlation between the CO vibrational ratio $v_2/v_1$ and the emitting radius is not a smooth radial excitation gradient but a dichotomy between two inner-disk geometries. The paper argues that every low-$v_2/v_1$ source with CO inside 5 AU is best reproduced by emission from the disk surface at 400–1300 K, with moderate CO columns and gas-to-dust ratios below 1000, and that the inner dust rim contributes essentially no CO because gas at the sublimation radius is hot enough to be atomic. Every high-$v_2/v_1$ source with CO outside 5 AU requires a cavity in both gas and dust at least 5 AU wide, CO columns above $10^{18}$ cm$^{-2}$ at the cavity wall with gas-to-dust ratios above 10000, and a strong drop in gas surface density inside the cavity. In both regimes the CO excitation is nearly thermalized with the dust (roughly 20–50% temperature differences), and the high gas-to-dust ratios at cavity walls are interpreted as dust traps, consistent with planet-carved cavities.

Load-bearing premise

The argument depends on gas at the dust sublimation radius being hot enough (above roughly 3000 K) to destroy CO, and the paper itself says its model likely overestimates CO abundance there and that the temperature and chemistry are very uncertain.

Editorial extensions

If this is right

  • For low-$v_2/v_1$ disks, CO rovibrational emission traces the disk surface rather than the inner rim, so the near-infrared continuum and CO lines probe different regions of the inner disk.
  • For high-$v_2/v_1$ disks, the measured CO radius directly marks the inner edge of the molecular outer disk, because the cavity is almost devoid of CO and the steep line profiles come from a cavity wall.
  • High gas-to-dust ratios above 10000 at cavity walls are naturally produced by dust traps, so the high-$v_2/v_1$ sources are prime candidates for giant planets carving the cavity.
  • Group II disks with broad low-ratio lines must be geometrically flat or radially confined by inner substructures; smooth flared disks are ruled out for most of them.
  • Observing CO rovibrational ratios can identify inner cavities and residual inner dust belts even without spatially resolving the disk, and future 3–5 micron integral-field observations should directly image the predicted rings and cavity walls.

Reading between the lines

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

  • Extending the paper's logic, the radius at which CO rovibrational emission switches on could serve as a thermometer for the atomic-to-molecular transition in the inner disk, mapping gas temperatures at the sublimation front across a sample of sources.
  • The observed dichotomy may be an evolutionary sequence: as a growing planet evacuates the inner disk, a source would move from the low-ratio surface-emission branch to the high-ratio cavity-wall branch, making narrow high-ratio lines a late-stage signature of planet carving.
  • A similar modeling exercise applied to T Tauri disks could test whether the difference in UV spectral shape (continuum-dominated versus Lyman-alpha-dominated irradiation) is what prevents the same dichotomy there, since the paper argues Herbigs dissociate CO at small radii while T Tauris do not.
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Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

3 major / 5 minor

Summary. The paper studies CO rovibrational line emission in Herbig Ae disks, focusing on the observed dichotomy between the vibrational flux ratio v2/v1 and the inferred CO emitting radius RCO. It combines analytic LTE slab calculations, non-LTE RADEX slab models, and a grid of DALI thermo-chemical disk models with varying inner radius and gas-to-dust ratio, and compares simulated line profiles, fluxes, and radii directly to observed data. The authors conclude that broad CO lines with low v2/v1 originate from a warm (400–1300 K) inner disk surface with gas-to-dust ratio below 1000 and CO column below 1e18 cm^-2, with CO absent at the inner dust rim because of thermal dissociation; narrow lines with high v2/v1 require an inner cavity of at least 5 AU and a cool (100–300 K), high-column (N_CO > 1e18 cm^-2) molecular reservoir at a cavity wall with gas-to-dust ratio above 10000. The paper interprets these structures in terms of dust trapping and giant planets and provides simulated ELT-METIS images as observational predictions.

Significance. If the interpretation is correct, this paper would connect CO rovibrational excitation to inner-disk gas-to-dust structure, dust trapping, and cavity formation in Herbig systems, and would provide a useful observational diagnostic for disk substructures inside 10 AU. The methodological strengths are the clean analytic and RADEX slab analysis, the explicit comparison of model line profiles to the observed stacked spectra, the use of a full thermo-chemical code with an expanded CO model, and concrete predictions for ELT-METIS. However, the central physical mechanism—the absence of CO at the inner dust rim—is not self-consistently produced by the DALI models, and the quantitative gas-to-dust thresholds are effectively selected grid values rather than fitted constraints. The paper therefore currently has the status of a well-motivated but partially assumption-driven interpretation, rather than a fully established structural dichotomy.

major comments (3)
  1. [Sec. 4.2–4.3, Figs. 9 and 12] The low-v2/v1 branch, which is a central result of the paper, is not reproduced by the fiducial DALI models; Sec. 4.2 states that 'clearly none of these models reproduce the trends in the data.' The agreement in Fig. 12 is obtained only after manually removing the inner-rim contribution to the spectra (Sec. 4.3), which carries ≈ 40% of the v1 flux and ≈ 90% of the v2 flux. This subtraction is imposed rather than derived: Appendix F explicitly concedes that the CO abundance in the inner disk rim is probably overestimated by DALI and that the gas temperature and chemistry there are 'very uncertain,' and Fig. F.1 shows that the DALI kinetic network keeps CO abundant to higher temperatures than equilibrium chemistry. Because the absence of CO at the inner rim is the physical basis for the entire low-v2/v1 interpretation, the paper's central dichotomy currently rests on an unmodeled assumption rather than on a self-consistent model prediction.
  2. [Sec. 4.1 and Appendix E] The quantitative thresholds in the conclusions ('gas-to-dust ratios below 1000' and 'greater than 10000', 'cavity of at least 5 AU') are not obtained from a fit with uncertainties. The DALI grid samples gas-to-dust ratios of 10, 100, 1000, and 10000 and inner radii of 0.4–15 AU, and the models that match the data are simply those grid points that fall in the observed region. Moreover, the high-v2/v1 models in Appendix E require a specially shaped cavity wall with a Gaussian density profile inside Rin and gas-to-dust ratios of 2×104–105, parameters introduced ad hoc to lower the v1 flux by about a factor of 50 and to cool the wall. The paper should present these as proof-of-concept models and refrain from claiming tight physical thresholds unless a fitting or marginalization is performed.
  3. [Sec. 5.1.1 and Sec. 3.1.3] The unique attribution of the low-v2/v1 inner-disk branch to thermal dissociation of CO near the sublimation radius is not established against competing mechanisms. In Sec. 3.1.3 the authors note that dust emission and absorption lower the v2 line more than the v1 line, so dust opacity can reduce v2/v1 by itself; in Sec. 5.1.1 they argue that even a small inner hole would leave atomic gas at the inner edge, but this is not modeled. The present data and models therefore cannot exclude alternatives such as a small dust-free gap, a slightly different inner-rim temperature structure, or dust opacity masking the rim. I would ask the authors to test at least one concrete alternative (e.g., rim models with dust extinction) and to strengthen the atomic-line observational test that they propose, before claiming that the dichotomy originates from CO dissociation.
minor comments (5)
  1. [Sec. 4.2.1] The text says that none of the fiducial models reproduce the observed trends, but later in the same section and in the caption of Fig. 9 the LTE models with small cavities are described as consistent with low v2/v1 sources; this apparent contradiction should be clarified.
  2. [Eq. (2)] The expression '1− exp−[ hν/kT ]' is missing a closing parenthesis or bracket; the equation is hard to read as typeset.
  3. [Fig. 4] The description 'area between the blue and white lines' in Sec. 3.4.1 is not self-explanatory; the figure should label the blue lines or the caption should explain how the v1-flux constraint is encoded.
  4. [Sec. 3.4.2] The two solution families in Fig. 6 are called 'Solution #1' and 'Solution #2' in the text but are not labeled in the figure; please add labels or a legend.
  5. [Sec. 4.1] The statement that noise is added to achieve a signal-to-noise ratio of about 200 lacks details (noise distribution, seed); this is not essential but would improve reproducibility.

Circularity Check

1 steps flagged · score 6.0 of 10

The low-v2/v1 branch's key 'no CO at the inner rim' condition is imposed by subtracting the rim component from DALI spectra and then read back as an inference; Appendix F concedes the rim CO abundance is only 'probably overestimated' by DALI.

  1. fitted input called prediction [Sections 4.2.2, 4.3, 5.1.1, and Appendix F]
    "None of the observations show the broad plateau-like feature that is in our model line profiles with small Rin (< 2 AU). This indicates that the inner rim of the model disk needs to be adapted to fit the data. ... The inner rim region from which the line emission is removed originally produces ∼ 40% of the v1 flux and ∼90% of the v2 flux. ... The good match between the line profiles of disks without a contribution from the inner disk edge (Sec. 4.3) indicates that CO is not present within or around the dust sublimation radius in any of these disks."

    The conclusion that CO is absent at the inner dust rim is the same operation as the model modification used to make the low-v2/v1 branch match: the inner-rim contribution is removed from the DALI spectra because the full model overproduces the broad plateau that the observations do not show, and the post-subtraction 'good match' is then cited as evidence for no CO at the rim. The match is therefore obtained by construction rather than independently predicted. The physical dissociation scenario is not produced by DALI; Appendix F states that 'the CO abundance in the inner disk rim is overestimated by DALI' is 'not unlikely', explicitly leaving the gas temperature and chemistry there uncertain. Thus the load-bearing low-ratio condition is an imposed input, not a derived output.

full rationale

The paper is largely an honest grid-fitting study: the LTE and RADEX slab models provide self-contained excitation constraints, and the DALI models are compared to the data using the same line-ratio and radius extraction methods as the observations. There is no load-bearing self-citation chain and no uniqueness theorem imported from the authors' prior work; the use of Banzatti et al. data and the DALI code is external or code-based evidence. However, the central dichotomy contains one partially circular step. The low-v2/v1 branch is rescued by manually subtracting the inner-rim line component that the fiducial DALI models produce, and the paper then presents the 'good match' of the rim-subtracted models as evidence that CO is absent inside/at the inner rim. Because the removal was motivated by the same absent plateau in the observed line profiles, the inference 'no CO at the rim' reduces to the imposed model alteration; Appendix F explicitly concedes this region is not modeled reliably. The gas-to-dust and cavity-radius thresholds are also read off from the parameter grid that was varied to match the observed v2/v1 and RCO, which is model fitting rather than independent prediction, but that alone would not be circular. The rim-subtraction step is the specific reduction that makes the low-ratio branch's physical interpretation partially circular, so the overall score is 6.

Assumptions & free parameters 6 free parameters · 4 assumptions · 0 invented entities

The central claim rests on fitting gas-to-dust ratios, inner cavity radii, vertical structure, and CO columns to reproduce observed line properties. These are plausible physical parameters, but they are inferred from the same data they are used to explain. The main ad hoc element is the assumed thermal dissociation of CO at the inner rim, which is not reproduced by the model and is explicitly flagged by the authors as uncertain.

free parameters (6)
  • Gas-to-dust ratio = < 1000 for low v2/v1 sources; > 10000 for high v2/v1 sources
    Varied from 10 to 10000 in DALI models and constrained by matching observed v2/v1 and line fluxes in Sec. 4 and Fig. 9.
  • Inner disk radius Rin = 0.4 to 15 AU (grid), inferred cavity sizes ~5 AU for high v2/v1
    Varied in DALI models to reproduce CO emitting radii; the high v2/v1 regime requires a cavity of at least 5 AU.
  • CO column density in slab models = 10^14 to 10^22 cm^-2 (grid)
    Slab and RADEX models scan CO column to reproduce line ratios and fluxes; constraints derived in Secs. 3.1-3.4.
  • Gas temperature in slab models = 100 to 6000 K (grid)
    Slab and RADEX scans constrain emitting gas temperature to 400-1300 K for low v2/v1 and below 300 K for the cold high-column branch of high v2/v1.
  • Emitting area in RADEX high-v2/v1 models = free parameter, 0.01 to 100 AU^2
    In Sec. 3.4.2 the emitting area is left free for the high-v2/v1 sources, which introduces a degeneracy with column and density.
  • Vertical scale height and flaring index = hc = 0.1, psi = 0.25 fiducial; hc = 0.02-0.1, psi = 0.0-0.25 varied
    Varied in Sec. 4.3 to reproduce the radial confinement seen in line profiles.
assumptions (4)
  • domain assumption CO-H2 and CO-H collisional rate coefficients from Yang et al. (2010) and Song et al. (2015) are accurate for the vibrational transitions.
    Used in RADEX and DALI to compute non-LTE level populations; cited in Secs. 3.2 and Appendix A.
  • domain assumption The DALI thermo-chemical code correctly solves gas temperature, chemistry, and molecular excitation for these disks.
    The paper relies on DALI for the full disk models without independent verification in this work (Sec. 4.1).
  • domain assumption The observed v2/v1 line ratio measured from v2 P(4) and v1 P(10) is a suitable proxy for the v=2/v=1 vibrational population ratio.
    The paper cites Appendix A of Banzatti & Pontoppidan (2015) and notes matching-J ratios can vary by up to 50%.
  • ad hoc to paper Gas near the dust sublimation radius is heated above 3000 K and becomes atomic, removing CO from the inner rim.
    Invoked in Secs. 5.1.1 and Appendix F, but the DALI chemical model does not produce this self-consistently; the paper states the CO abundance in the inner rim is likely overestimated by DALI.

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Cite this review

Pith. "Pith review of Probing planet formation and disk substructures in the inner disk of Herbig Ae stars with CO rovibrational emission." pith.science (2026). https://pith.science/paper/ISTTIITQ

@misc{pith2026190902031,
  author       = {Pith},
  title        = {Pith review of: Probing planet formation and disk substructures in the inner disk of Herbig Ae stars with CO rovibrational emission},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/ISTTIITQ}},
  note         = {Machine review of arXiv:1909.02031}
}
abstract

[abridged]CO rovibrational lines are efficient probes of warm molecular gas and can give unique insights into the inner 10 AU of proto-planetary disks. Recent studies have found a relation between the ratio of lines originating from the second and first vibrationally excited state, denoted as $v2/v1$, and the emitting radius of CO. In disks around Herbig Ae stars the vibrational excitation is low when CO lines come from close to the star, and high when lines only probe gas at large radii (more than 5 AU). We aim to find explanations for the observed trends between CO vibrational ratio, emitting radii, and NIR excess, and identify their implications in terms of the physical and chemical structure of inner disks around Herbig stars. Slab models and full disk thermo chemical models are calculated. Simulated observations from the models are directly compared to the data. Broad CO lines with low vibrational ratios are best explained by a warm (400-1300 K) inner disk surface with gas-to-dust ratios below 1000; no CO is detected within/at the inner dust rim, due to dissociation at high temperatures. In contrast, explaining the narrow lines with high vibrational ratios requires an inner cavity of a least 5 AU in both dust and gas, followed by a cool (100-300 K) molecular gas reservoir with gas-to-dust ratios greater than 10000 at the cavity wall. In all cases the CO gas must be close to thermalization with the dust. The high gas-to-dust ratios needed to explain high $v2/v1$ in narrow CO lines for a subset of group I disks can naturally be interpreted as due to the dust traps that have been proposed to explain millimeter dust cavities. The broad lines seen in most group II objects indicate a very flat disk in addition to inner disk substructures within 10 AU that can be related to the substructures recently observed with ALMA.

Figures

Figures reproduced from arXiv: 1909.02031 by the authors.

Figure 1
Figure 1. Disk structures as proposed by Banzatti et al. (2018) (left) and CO vibrational ratio v2/v1 and emitting radius from near-infrared CO spectra of Herbig stars used for comparison to the models in this work (right), see details in Section 2). The three groups from Banzatti et al. (2018), are shown in different colors: group II in magenta, high-NIR group I in green, low-NIR group I in blue. Disks where FNIR is not avai… view at source ↗
Figure 2
Figure 2. Selection of stacked CO line profiles from observed spectra (Section 2). The v1 lines are shown in black, v2 lines in blue. Gaps visible in some line profiles are due to telluric absorption. Disk inclinations are between 20 and 50 deg for all these objects. In HD 31648, the RCO is taken for the broad component defined by the line wings. the group I disk that are often observed to have a large (> 10 AU) cavity in eit… view at source ↗
Figure 3
Figure 3. CO vibrational ratio, v2/v1, for different temperatures and columns from the analytic model. The green line shows the τ = 1 con￾ditions for the v1 line. The white line shows v2/v1 = 0.2, which is the value that differentiates low and high vibrational ratio sources. Tback is the radiation temperature of the background and τ(u, l) is the line peak opacity. In Eq. 2 g(n) is the degeneracy of rovibra￾tional level n, A(u… view at source ↗
Figures from the paper (15 more)
Figure 4
Figure 4. Figure 4: CO vibrational ratio, v2/v1, for different temperatures and columns from the RADEX models using a 750 K radiation field with a dilution factor W of 0.01 (left) and 0.3 (right). The area between the blue and white lines shows where both the vibrational ratio and the v1 …
Figure 5
Figure 5. Figure 5: CO vibrational ratio versus the inferred radius of emission for observational data (grey points) and analytic (left) and RADEX (right) model results (coloured lines). For the RADEX models, two different assumption for the radiation field are shown weakly irradiated (W …
Figure 6
Figure 6. Figure 6: Parameters that can reproduce the observed CO rovibrational fluxes and line ratios for sources with RCO > 5 AU as function of as￾sumed emitting area. Two solution branches are found, a low tempera￾ture (left) and a high temperature (right) branch. Different colours sho…
Figure 7
Figure 7. Figure 7: Summary of physical condition constraints from the RADEX models on the emitting regions of the CO rovibrational lines [PITH_FULL_IMAGE:figures/full_fig_p008_7.png]
Figure 8
Figure 8. Figure 8: Schematic representation of the surface density in the monolithic models. Rin is the same for gas and dust and is varied between 0.4 and 15 AU, while ∆g−d is varied between 10 and 10000. except for a few changes that will be highlighted where rele￾vant. Dust temperatur…
Figure 9
Figure 9. Figure 9: v1 line flux (top) and vibrational ratio of CO (bottom) versus the inferred radius of emission for observational data and DALI model results. Lines connect the dots in order of inner model radius. Labels indicate the gas-to-dust ratio for the thermo-chemical models, th…
Figure 6
Figure 6. Figure 6: Article number, page 9 of 25 [PITH_FULL_IMAGE:figures/full_fig_p009_6.png]
Figure 10
Figure 10. Figure 10: Normalised model line profiles for the v1 (black) and the v2 (blue) lines for a subset of the models at the native resolution of the model, R = 106 . The text on the left of each panel de￾notes the model set. The top right corner of each panel denotes the inner radius…
Figure 11
Figure 11. Figure 11: Line profiles for the models with an inner cavity of 0.6 AU and a gas-to-dust ratio of 10000. In the right hand plot contributions from the inner rim and disk surface are separated. gas and dust temperature in the emitting area are similar, with 20% temperature differ…
Figure 12
Figure 12. Figure 12: v1 flux (top) and CO vibrational ra￾tio (bottom) versus the inferred radius of emis￾sion for observational data and model results. The contribution from the inner edge has been subtracted from the models spectra before anal￾ysis. Models show variation in inner radius …
Figure 13
Figure 13. Figure 13: Typical line profiles, simulated images and inferred disk proposed disk structures for four types of disks identified in the Herbig sample. Near-infrared continuum and CO emitting areas are shown in red and blue respectively. The simulated images show the velocity int…
Figure 12
Figure 12. Figure 12: Fig.12 [PITH_FULL_IMAGE:figures/full_fig_p014_12.png]
Figure 14
Figure 14. Figure 14: Sketches of the upper right quartile of a disk cross section of the preferred configuration of the CO emitting region in the case of low RCO and low v2/v1 (group II and group I high NIR, left) and large RCO and high v2/v1 (group I low NIR, right). This figure is an up…
Figure 15
Figure 15. Figure 15: Radial intensity cuts for the sub-millimeter dust from Huang et al. (2018) and the radial intensity as inferred from the CO rovibra￾tional line profile of HD 142666. Vertical dashed lines show the maxi￾mum of the CO and sub-millimeter dust intensity. The CO emission i…
Figure 16
Figure 16. Figure 16: Simulated velocity integrated v1P(10) (top) and v2P(4) (bottom) line maps convolved to METIS resolution (Brandl et al. 2014). The colour scale is log-stretched between 0.1% and 100 % of the maximum of the v1 line flux. The continuum has been subtracted before velocity…

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Works this paper leans on

89 extracted references · 63 canonical work pages

  1. [1]

    , " * write output.state after.block = add.period write newline

    ENTRY address archiveprefix author booktitle chapter edition editor howpublished institution eprint journal key month note number organization pages publisher school series title type volume year label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sentence after.block FUNCTION init.state.consts #0 'before.all := #1 ...

  2. [2]

    write newline

    " write newline "" before.all 'output.state := FUNCTION n.dashify 't := "" t empty not t #1 #1 substring "-" = t #1 #2 substring "--" = not "--" * t #2 global.max substring 't := t #1 #1 substring "-" = "-" * t #2 global.max substring 't := while if t #1 #1 substring * t #2 global.max substring 't := if while FUNCTION word.in bbl.in " " * FUNCTION format....

  3. [3]

    M., Huang , J., P \'e rez , L

    Andrews , S. M., Huang , J., P \'e rez , L. M., et al. 2018, , 869, L41

  4. [4]

    P., Schmid , H

    Avenhaus , H., Quanz , S. P., Schmid , H. M., et al. 2017, , 154, 33

  5. [5]

    2018, , 609, L2

    Banzatti , A., Garufi , A., Kama , M., et al. 2018, , 609, L2

  6. [6]

    & Pontoppidan , K

    Banzatti , A. & Pontoppidan , K. M. 2015, , 809, 167

  7. [7]

    M., Bruderer , S., Muzerolle , J., & Meyer , M

    Banzatti , A., Pontoppidan , K. M., Bruderer , S., Muzerolle , J., & Meyer , M. R. 2015, , 798, L16

  8. [8]

    M., Salyk , C., et al

    Banzatti , A., Pontoppidan , K. M., Salyk , C., et al. 2017, , 834, 152

Show all 89 references
  1. [9]

    J., Tennyson , J., Harris , G

    Barber , R. J., Tennyson , J., Harris , G. J., & Tolchenov , R. N. 2006, , 368, 1087

  2. [10]

    E., Brown , J

    Bast , J. E., Brown , J. M., Herczeg , G. J., van Dishoeck , E. F., & Pontoppidan , K. M. 2011, , 527, A119

  3. [11]

    W., Ajello , J

    Beegle , L. W., Ajello , J. M., James , G. K., Dziczek , D., & Alvarez , M. 1999, , 347, 375

  4. [12]

    2017, , 597, A42

    Benisty , M., Stolker , T., Pohl , A., et al. 2017, , 597, A42

  5. [13]

    Blake , G. A. & Boogert , A. C. A. 2004, , 606, L73

  6. [14]

    2018, , 853, 162

    Boehler , Y., Ricci , L., Weaver , E., et al. 2018, , 853, 162

  7. [15]

    R., Feldt , M., Glasse , A., et al

    Brandl , B. R., Feldt , M., Glasse , A., et al. 2014, in , Vol. 9147, Ground-based and Airborne Instrumentation for Astronomy V, 914721

  8. [16]

    D., Carr , J

    Brittain , S. D., Carr , J. S., & Najita , J. R. 2018, , 130, 074505

  9. [17]

    D., Simon , T., Najita , J

    Brittain , S. D., Simon , T., Najita , J. R., & Rettig , T. W. 2007, , 659, 685

  10. [18]

    M., Herczeg , G

    Brown , J. M., Herczeg , G. J., Pontoppidan , K. M., & van Dishoeck , E. F. 2012, , 744, 116

  11. [19]

    M., Pontoppidan , K

    Brown , J. M., Pontoppidan , K. M., van Dishoeck , E. F., et al. 2013, , 770, 94

  12. [20]

    2013, , 559, A46

    Bruderer , S. 2013, , 559, A46

  13. [21]

    Bruderer , S., Harsono , D., & van Dishoeck , E. F. 2015, , 575, A94

  14. [22]

    F., Doty , S

    Bruderer , S., van Dishoeck , E. F., Doty , S. D., & Herczeg , G. J. 2012, , 541, A91

  15. [23]

    & Sharma , A

    Chandra , S. & Sharma , A. K. 2001, , 376, 356

  16. [24]

    L., Stapelfeldt , K

    Cieza , L., Padgett , D. L., Stapelfeldt , K. R., et al. 2007, , 667, 308

  17. [25]

    & Kenyon , S

    Currie , T. & Kenyon , S. J. 2009, , 138, 703

  18. [26]

    2009, , 500, 1065

    di Folco , E., Dutrey , A., Chesneau , O., et al. 2009, , 500, 1065

  19. [27]

    & Bergin , E

    Du , F. & Bergin , E. A. 2014, , 792, 2

  20. [28]

    Dullemond , C. P. & Dominik , C. 2004, , 417, 159

  21. [29]

    A., Hillenbrand , L

    Eisner , J. A., Hillenbrand , L. A., & Stone , J. M. 2014, , 443, 1916

  22. [30]

    & Pascucci , I

    Ercolano , B. & Pascucci , I. 2017, Royal Society Open Science, 4, 170114

  23. [31]

    & Josselin , E

    Faure , A. & Josselin , E. 2008, , 492, 257

  24. [32]

    R., et al

    Fedele , D., Carney , M., Hogerheijde , M. R., et al. 2017, , 600, A72

  25. [33]

    A., Roueff , E., & Abgrall , H

    France , K., Schindhelm , E., Bergin , E. A., Roueff , E., & Abgrall , H. 2014, , 784, 127

  26. [34]

    V., Schertl , D., et al

    Garcia Lopez , R., Tambovtseva , L. V., Schertl , D., et al. 2015, , 576, A84

  27. [35]

    2017, , 603, A21

    Garufi , A., Meeus , G., Benisty , M., et al. 2017, , 603, A21

  28. [36]

    & McBride , B

    Gordon , S. & McBride , B. J. 1994, Computer Program for Calculation of Complex Chemical Equilibrium Compositions and Applications. Part 1: Analysis (Washington, DC: NASA)

  29. [37]

    Gorti , U., Hollenbach , D., & Dullemond , C. P. 2015, , 804, 29

  30. [38]

    2017, , 602, A94

    Gravity Collaboration , Abuter , R., Accardo , M., et al. 2017, , 602, A94

  31. [39]

    P., Kamp , I., Goto , M., et al

    Hein Bertelsen , R. P., Kamp , I., Goto , M., et al. 2014, , 561, A102

  32. [40]

    & McKee , C

    Hollenbach , D. & McKee , C. F. 1979, , 41, 555

  33. [41]

    M., Dullemond , C

    Huang , J., Andrews , S. M., Dullemond , C. P., et al. 2018, , 869, L42

  34. [42]

    Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90

  35. [43]

    D., Fairlamb , J., Oudmaijer , R

    Ilee , J. D., Fairlamb , J., Oudmaijer , R. D., et al. 2014, , 445, 3723

  36. [44]

    M., et al

    Isella , A., Huang , J., Andrews , S. M., et al. 2018, , 869, L49

  37. [45]

    2001--, SciPy : Open source scientific tools for Python , [Online; accessed 5 July 2001]

    Jones, E., Oliphant, T., Peterson, P., et al. 2001--, SciPy : Open source scientific tools for Python , [Online; accessed 5 July 2001]

  38. [46]

    2004, in , Vol

    Kaeufl , H.-U., Ballester , P., Biereichel , P., et al. 2004, in , Vol. 5492, Ground-based Instrumentation for Astronomy, ed. A. F. M. Moorwood & M. Iye , 1218--1227

  39. [47]

    P., & Pinilla , P

    Kama , M., Folsom , C. P., & Pinilla , P. 2015, , 582, L10

  40. [48]

    M., Honda , M., Waters , L

    Maaskant , K. M., Honda , M., Waters , L. B. F. M., et al. 2013, , 555, A64

  41. [49]

    McBride , B. J. & Gordon , S. 1996, Computer Program for Calculation of Complex Chemical Equilibrium Compositions and Applications II. User's Manual and Program Description, Vol. 19 (Washington, DC: NASA), 178

  42. [50]

    S., Becklin , E

    McLean , I. S., Becklin , E. E., Bendiksen , O., et al. 1998, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 3354, Infrared Astronomical Instrumentation, ed. A. M. Fowler , 566--578

  43. [51]

    Meeus , G., Waters , L. B. F. M., Bouwman , J., et al. 2001, , 365, 476

  44. [52]

    M., Blake , G

    Meijerink , R., Pontoppidan , K. M., Blake , G. A., Poelman , D. R., & Dullemond , C. P. 2009, , 704, 1471

  45. [53]

    2015, , 581, A107

    Menu , J., van Boekel , R., Henning , T., et al. 2015, , 581, A107

  46. [54]

    Mitchell, G. F. 1984, Astrophysical Journal Supplement Series, 54, 81

  47. [55]

    S., & Mathieu , R

    Najita , J., Carr , J. S., & Mathieu , R. D. 2003, , 589, 931

  48. [56]

    2006--, NumPy : A guide to NumPy , USA: Trelgol Publishing, [Online; accessed 5 July 2019]

    Oliphant, T. 2006--, NumPy : A guide to NumPy , USA: Trelgol Publishing, [Online; accessed 5 July 2019]

  49. [57]

    Owen , J. E. 2016, , 33, e005

  50. [58]

    2012, , 545, A81

    Pinilla , P., Benisty , M., & Birnstiel , T. 2012, , 545, A81

  51. [59]

    2016, , 585, A35

    Pinilla , P., Klarmann , L., Birnstiel , T., et al. 2016, , 585, A35

  52. [60]

    2018, , 859, 32

    Pinilla , P., Tazzari , M., Pascucci , I., et al. 2018, , 859, 32

  53. [61]

    M., Blake , G

    Pontoppidan , K. M., Blake , G. A., & Smette , A. 2011 a , , 733, 84

  54. [62]

    M., Boogert , A

    Pontoppidan , K. M., Boogert , A. C. A., Fraser , H. J., et al. 2008, , 678, 1005

  55. [63]

    M., Salyk , C., Blake , G

    Pontoppidan , K. M., Salyk , C., Blake , G. A., et al. 2010, , 720, 887

  56. [64]

    M., van Dishoeck , E., Blake , G

    Pontoppidan , K. M., van Dishoeck , E., Blake , G. A., et al. 2011 b , The Messenger, 143, 32

  57. [65]

    2016, in , Vol

    Rayner , J., Tokunaga , A., Jaffe , D., et al. 2016, in , Vol. 9908, Ground-based and Airborne Instrumentation for Astronomy VI, 990884

  58. [66]

    2013, Journal of Quantitative Spectroscopy and Radiative Transfer, 130, 4

    Rothman, L., Gordon, I., Babikov, Y., et al. 2013, Journal of Quantitative Spectroscopy and Radiative Transfer, 130, 4

  59. [67]

    A., Boogert , A

    Salyk , C., Blake , G. A., Boogert , A. C. A., & Brown , J. M. 2011, , 743, 112

  60. [68]

    M., Blake , G

    Salyk , C., Pontoppidan , K. M., Blake , G. A., et al. 2008, , 676, L49

  61. [69]

    A., Ratzka , T., Schuller , P

    Schegerer , A. A., Ratzka , T., Schuller , P. A., et al. 2013, , 555, A103

  62. [70]

    L., van der Tak , F

    Sch\" o ier , F. L., van der Tak , F. F. S., van Dishoeck , E. F., & Black , J. H. 2005, , 432, 369

  63. [71]

    M., et al

    Song , L., Balakrishnan , N., Walker , K. M., et al. 2015, , 813, 96

  64. [72]

    Spaans , M., Tielens , A. G. G. M., van Dishoeck , E. F., & Bakes , E. L. O. 1994, , 437, 270

  65. [73]

    2016, , 595, A113

    Stolker , T., Dominik , C., Avenhaus , H., et al. 2016, , 595, A113

  66. [74]

    2017, , 840, 32

    Tang , Y.-W., Guilloteau , S., Dutrey , A., et al. 2017, , 840, 32

  67. [75]

    F., Williamson , R., Polyansky , O

    Tennyson , J., Zobov , N. F., Williamson , R., Polyansky , O. L., & Bernath , P. F. 2001, Journal of Physical and Chemical Reference Data, 30, 735

  68. [76]

    F., Kamp , I., Woitke , P., et al

    Thi , W. F., Kamp , I., Woitke , P., et al. 2013, , 551, A49

  69. [77]

    Thi , W.-F., van Dalen , B., Bik , A., & Waters , L. B. F. M. 2005, , 430, L61

  70. [78]

    & Nakano , T

    Umebayashi , T. & Nakano , T. 1988, Progress of Theoretical Physics Supplement, 96, 151

  71. [79]

    F., Bruderer , S., et al

    van der Marel , N., van Dishoeck , E. F., Bruderer , S., et al. 2016, , 585, A58

  72. [80]

    F., Bruderer , S., et al

    van der Marel , N., van Dishoeck , E. F., Bruderer , S., et al. 2013, Science, 340, 1199

  73. [81]

    F., Bruderer , S., P \'e rez , L., & Isella , A

    van der Marel , N., van Dishoeck , E. F., Bruderer , S., P \'e rez , L., & Isella , A. 2015, , 579, A106

  74. [82]

    P., Ansdell , M., et al

    van der Marel , N., Williams , J. P., Ansdell , M., et al. 2018, , 854, 177

  75. [83]

    E., Waters , L

    van der Plas , G., van den Ancker , M. E., Waters , L. B. F. M., & Dominik , C. 2015, , 574, A75

  76. [84]

    M., M \'e nard , F., et al

    van der Plas , G., Wright , C. M., M \'e nard , F., et al. 2017, , 597, A32

  77. [85]

    van der Tak , F. F. S., Black , J. H., Sch \"o ier , F. L., Jansen , D. J., & van Dishoeck , E. F. 2007, , 468, 627

  78. [86]

    M., Song , L., Yang , B

    Walker , K. M., Song , L., Yang , B. H., et al. 2015, , 811, 27

  79. [87]

    A., Boley , A

    White , J. A., Boley , A. C., MacGregor , M. A., Hughes , A. M., & Wilner , D. J. 2018, , 474, 4500

  80. [88]

    2009, , 501, 383

    Woitke , P., Kamp , I., & Thi , W.-F. 2009, , 501, 383

  81. [89]

    C., Balakrishnan , N., & Forrey , R

    Yang , B., Stancil , P. C., Balakrishnan , N., & Forrey , R. C. 2010, , 718, 1062

Pith tools

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