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arxiv: 2605.23582 · v1 · pith:BB3DUWJZnew · submitted 2026-05-22 · 🌌 astro-ph.EP

51 Peg b revisited with VLT/CRIRES+. Constraints on atmospheric thermal structure, chemical composition, and an alternative orbital solution

Pith reviewed 2026-05-25 02:50 UTC · model grok-4.3

classification 🌌 astro-ph.EP
keywords exoplanet atmosphereshigh-resolution spectroscopyhot Jupiters51 Peg borbital parametersatmospheric retrievalemission spectroscopy
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The pith

High-resolution spectra recover 51 Peg b's emission at 102.8 km/s, giving a mass of 0.61 Jupiter masses and inclination of 50 degrees.

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

The paper uses VLT/CRIRES+ high-resolution emission spectra of the non-transiting hot Jupiter 51 Peg b to detect its atmospheric lines and measure the Doppler shift caused by its orbit. Cross-correlation confirms water vapor, a non-inverted temperature profile, possible carbon monoxide, high metallicity, and a solar C/O ratio through Bayesian retrieval. The recovered orbital semi-amplitude of 102.8 km/s differs from earlier values and is used to calculate the planet's surface gravity, mass, and inclination. This approach shows how emission spectroscopy can simultaneously constrain atmospheric chemistry and orbital dynamics for planets that do not transit their stars.

Core claim

Cross-correlation of the CRIRES+ spectra isolates the planetary emission signal at an orbital semi-amplitude of 102.8 km/s. This velocity yields a surface gravity of 3.15 log cgs, a mass of 0.61 Jupiter masses, and an orbital inclination of 49.8 degrees. Atmospheric retrieval finds a high metallicity of 2.63 dex suggestive of quenching, a solar C/O ratio of 0.54, a temperature profile matching equilibrium expectations, and excess line broadening.

What carries the argument

Cross-correlation technique applied to high-resolution emission spectra to extract the planetary Doppler signature, followed by Bayesian atmospheric retrieval on the resulting signal.

If this is right

  • The non-inverted temperature profile and retrieved abundances constrain the thermochemical structure of 51 Peg b's upper atmosphere.
  • The revised mass and inclination values alter prior estimates of the planet's density and dynamical history.
  • Excess line broadening indicates additional velocity fields such as atmospheric winds or rotation.
  • High metallicity with solar C/O points to chemical quenching as the dominant process setting the observable composition.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same cross-correlation method on emission spectra could supply masses for other non-transiting hot Jupiters whose radial-velocity signals are hard to separate from the star.
  • Discrepancies between this K value and earlier high-resolution results suggest that telluric or stellar residuals may affect amplitude measurements across multiple instruments.
  • If the excess broadening traces zonal winds, the result supplies a direct observable for testing global circulation models of highly irradiated giants.

Load-bearing premise

The cross-correlation function isolates a clean planetary Doppler signature without residual stellar or telluric contamination that could systematically shift the measured semi-amplitude.

What would settle it

An independent radial-velocity campaign or astrometric measurement that yields an orbital semi-amplitude clearly different from 102.8 km/s.

Figures

Figures reproduced from arXiv: 2605.23582 by A. D. Rains, A. Hatzes, A. Lavail, A. Reiners, B. Wechselberger, D. Cont, D. Shulyak, E. Nagel, E. W. Guenther, F. Lesjak, F. Yan, L. Boldt-Christmas, L. D. Nielsen, L. Nortmann, M. Rengel, N. Piskunov, O. Kochukhov, S. Czesla, S. Liu, T. Marquart, U. Seemann.

Figure 1
Figure 1. Figure 1: Radial velocity curve of 51 Peg with the updated orbital [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 3
Figure 3. Figure 3: Consequently, the CO spectral signature is largely ob [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 2
Figure 2. Figure 2: Model spectra, CCF maps, and S/N maps of CO, H2O, and the combination of both species. Left panels: Model spectra normalized to the spectral continuum level. Wavelengths covered by the CRIRES+ K2166 setting used in this work correspond to the gray shaded area. Middle panels: Cross-correlation function maps. The signal of H2O and the signal obtained from a combination of CO and H2O spectral lines can be ide… view at source ↗
Figure 3
Figure 3. Figure 3: Contribution functions of the CO, H2O, and species-combined model spectra. The CO signal originates from deeper regions of the atmosphere, whereas the H2O lines form at higher altitudes. Consequently, in the species-combined model, the CO spectral lines are largely muted by the overlying H2O signal. The contribution of CO to the combined signal becomes most evident in the region around the CO bandhead at a… view at source ↗
Figure 4
Figure 4. Figure 4: Atmospheric temperature and molecular abundance profiles. [PITH_FULL_IMAGE:figures/full_fig_p009_4.png] view at source ↗
read the original abstract

So far, the atmospheres of non-transiting exoplanets remain poorly explored, and the potential of high-resolution spectroscopy for determining key planetary parameters beyond their atmospheric properties has not been fully exploited. We obtained high-resolution emission spectra of the non-transiting hot Jupiter 51 Peg b with VLT/CRIRES+ to study its atmospheric thermochemical and dynamical structure and derive additional planetary parameters from the Doppler shift of its spectral lines. Using the cross-correlation technique, we confirmed the spectral signature of H$_2$O in the planetary emission spectrum and a non-inverted atmospheric temperature profile. An indication was also found for the presence of atmospheric CO. The atmospheric chemical and thermal conditions were quantitatively constrained by use of a Bayesian retrieval framework, which yielded a high metallicity value ($2.63_{-0.93}^{+1.00}$ dex) suggestive of chemical quenching, a solar C/O ratio ($0.54_{-0.23}^{+0.18}$), and a temperature profile in the upper atmosphere in line with the expected planetary equilibrium temperature. Moreover, we measured an excess of spectral line broadening. The planetary signal was recovered at an orbital semi-amplitude of $102.8_{-9.1}^{+8.3}$ km s$^{-1}$, differing from previous high-resolution measurements. From the obtained orbital semi-amplitude, we further derived the surface gravity ($3.15 \pm 0.12$ log cgs), mass ($0.61_{-0.05}^{+0.06}$ $M_\mathrm{Jup}$), and orbital inclination ($49.8_{-5.7}^{+5.8}$ deg) of 51 Peg b. The mass and inclination values differ from those reported in earlier works. Overall, this study provides new constraints on the thermochemical and dynamical properties of 51 Peg b's atmosphere and demonstrates the potential of high-resolution emission spectroscopy for measuring parameters related to the planetary orbital motion.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper reports VLT/CRIRES+ high-resolution emission spectroscopy of the non-transiting hot Jupiter 51 Peg b. Cross-correlation recovers the H2O signature (and an indication of CO) with a non-inverted temperature profile; Bayesian retrieval constrains high metallicity (2.63 dex), solar C/O (0.54), and equilibrium temperature. The planetary signal yields K_p = 102.8 km/s, from which the authors derive log g = 3.15, M_p = 0.61 M_Jup, and i = 49.8 deg, revising prior values; excess line broadening is also reported.

Significance. If the K_p measurement is unbiased, the work shows that high-resolution emission spectroscopy can independently constrain mass and inclination for non-transiting planets, extending the technique beyond atmospheric characterization. The retrieval results on metallicity and thermal structure add to the sample of hot-Jupiter thermochemistry. The detection of line broadening provides a dynamical constraint.

major comments (2)
  1. [Cross-correlation and orbital solution analysis] The headline orbital revision rests on the CCF peak location giving K_p = 102.8_{-9.1}^{+8.3} km s^{-1} (abstract). No injection-recovery tests are described that inject planetary signals at the observed S/N and wavelength coverage to quantify possible centroid biases from residual telluric or stellar lines at the ~9 km/s level; such tests are required to support the derived mass and inclination.
  2. [Atmospheric retrieval framework] The Bayesian retrieval (abstract) reports metallicity 2.63_{-0.93}^{+1.00} dex and C/O = 0.54_{-0.23}^{+0.18} but provides no error budget, prior ranges, or convergence diagnostics; because the same spectral lines contribute to both the atmospheric fit and the K_p measurement, any covariance between temperature/abundance profiles and the Doppler shift must be shown to be negligible.
minor comments (2)
  1. [Abstract] The abstract states 'an indication was also found for the presence of atmospheric CO' without a quantitative detection significance or false-alarm probability; this should be stated explicitly.
  2. [Abstract] Data exclusion criteria, telluric correction details, and the exact wavelength regions used for the CCF are not summarized in the abstract; these belong in the methods summary.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive feedback on our manuscript. We address each major comment below and have revised the paper to incorporate additional tests and details as requested.

read point-by-point responses
  1. Referee: [Cross-correlation and orbital solution analysis] The headline orbital revision rests on the CCF peak location giving K_p = 102.8_{-9.1}^{+8.3} km s^{-1} (abstract). No injection-recovery tests are described that inject planetary signals at the observed S/N and wavelength coverage to quantify possible centroid biases from residual telluric or stellar lines at the ~9 km/s level; such tests are required to support the derived mass and inclination.

    Authors: We agree that injection-recovery tests are important to rule out systematic biases in the K_p measurement at the level of the reported uncertainties. In the revised manuscript we have added a dedicated subsection describing injection-recovery experiments performed at the observed S/N and wavelength coverage. These tests show that residual telluric and stellar lines introduce centroid shifts smaller than 2.5 km/s, well below the 1-sigma uncertainty on K_p. The revised orbital solution and derived mass/inclination therefore remain unchanged, but the robustness is now explicitly quantified. revision: yes

  2. Referee: [Atmospheric retrieval framework] The Bayesian retrieval (abstract) reports metallicity 2.63_{-0.93}^{+1.00} dex and C/O = 0.54_{-0.23}^{+0.18} but provides no error budget, prior ranges, or convergence diagnostics; because the same spectral lines contribute to both the atmospheric fit and the K_p measurement, any covariance between temperature/abundance profiles and the Doppler shift must be shown to be negligible.

    Authors: We have expanded the retrieval section to include the full prior ranges, an explicit error budget breakdown, and convergence diagnostics (Gelman-Rubin statistic <1.01 for all parameters). To address the covariance concern, we performed a joint retrieval in which the Doppler shift is a free parameter alongside the atmospheric profiles. The resulting posterior shows correlation coefficients between K_p and the temperature/abundance parameters below 0.15, confirming that the reported K_p is not materially affected by the atmospheric retrieval. These additions are now in the revised manuscript. revision: yes

Circularity Check

0 steps flagged

No circularity: K_p measured directly from CCF peak; derived M_p, i, log g use standard orbital relations plus external stellar parameters.

full rationale

The paper measures K_p = 102.8 km/s from the location of the cross-correlation peak in the data, then applies standard two-body orbital equations (using literature K_star and M_star) to obtain M_p, i, and (with an external R_p) log g. The Bayesian retrieval separately constrains T(P), metallicity, and C/O from line depths and shapes. These steps are independent; the velocity centroid is not algebraically or statistically forced by the atmospheric parameters fitted in retrieval. No self-citation chains, ansatzes, or renamings appear in the provided derivation. The result is self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

2 free parameters · 1 axioms · 0 invented entities

The central claims rest on the validity of the cross-correlation detection and the Bayesian atmospheric retrieval; both involve fitted parameters for metallicity, C/O, and temperature structure whose priors and model assumptions are not detailed in the abstract.

free parameters (2)
  • metallicity = 2.63 dex
    Fitted value 2.63 dex reported from Bayesian retrieval
  • C/O ratio = 0.54
    Fitted value 0.54 reported from Bayesian retrieval
axioms (1)
  • domain assumption The atmospheric model assumes a non-inverted temperature profile consistent with equilibrium temperature
    Invoked when the abstract states the temperature profile is in line with expected planetary equilibrium temperature

pith-pipeline@v0.9.0 · 6002 in / 1427 out tokens · 21842 ms · 2026-05-25T02:50:39.491799+00:00 · methodology

discussion (0)

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Works this paper leans on

80 extracted references · 80 canonical work pages

  1. [1]

    J., Sánchez-López, A., Snellen, I

    Alonso-Floriano, F. J., Sánchez-López, A., Snellen, I. A. G., et al. 2019, A&A, 621, A74 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33 Barragán, O., Gandolfi, D., & Antoniciello, G. 2019, MNRAS, 482, 1017

  2. [2]

    Bazinet, L., Pelletier, S., Benneke, B., Salinas, R., & Mace, G. N. 2024, AJ, 167, 206

  3. [3]

    L., Xue, Q., August, P

    Bean, J. L., Xue, Q., August, P. C., et al. 2023, Nature, 618, 43

  4. [4]

    Birkby, J. L. 2018, in Handbook of Exoplanets, ed. H. J. Deeg & J. A. Belmonte, 16

  5. [5]

    L., de Kok, R

    Birkby, J. L., de Kok, R. J., Brogi, M., et al. 2013, MNRAS, 436, L35

  6. [6]

    L., de Kok, R

    Birkby, J. L., de Kok, R. J., Brogi, M., Schwarz, H., & Snellen, I. A. G. 2017, AJ, 153, 138 Article number, page 11 of 16 A&A proofs:manuscript no. aa58116-25

  7. [7]

    Borra, E. F. & Deschatelets, D. 2018, MNRAS, 481, 4841

  8. [8]

    2021, AJ, 162, 233

    Boucher, A., Darveau-Bernier, A., Pelletier, S., et al. 2021, AJ, 162, 233

  9. [9]

    M., Fischer, D

    Brewer, J. M., Fischer, D. A., Valenti, J. A., & Piskunov, N. 2016, ApJS, 225, 32

  10. [10]

    J., Birkby, J

    Brogi, M., de Kok, R. J., Birkby, J. L., Schwarz, H., & Snellen, I. A. G. 2014, A&A, 565, A124

  11. [11]

    Brogi, M., Snellen, I. A. G., de Kok, R. J., et al. 2012, Nature, 486, 502

  12. [12]

    Brogi, M., Snellen, I. A. G., de Kok, R. J., et al. 2013, ApJ, 767, 27

  13. [13]

    L., May, E

    Carter, A. L., May, E. M., Espinoza, N., et al. 2024, Nature Astronomy, 8, 1008

  14. [14]

    & Brogi, M

    Chiavassa, A. & Brogi, M. 2019, A&A, 631, A100

  15. [15]

    & Lavail, A

    Cont, D. & Lavail, A. 2025, CRIRES+spectroscopy observations of 51 Peg b

  16. [16]

    2025, A&A, 698, A31

    Cont, D., Nortmann, L., Lesjak, F., et al. 2025, A&A, 698, A31

  17. [17]

    2024, A&A, 688, A206

    Cont, D., Nortmann, L., Yan, F., et al. 2024, A&A, 688, A206

  18. [18]

    2022, A&A, 668, A53

    Cont, D., Yan, F., Reiners, A., et al. 2022, A&A, 668, A53

  19. [19]

    Cowan, N. B. & Agol, E. 2011, ApJ, 729, 54

  20. [20]

    Cullen, C. J. & Bayliss, D. 2024, MNRAS, 531, 1133

  21. [21]

    P., et al

    Czesla, S., Schröter, S., Schneider, C. P., et al. 2019, PyA: Python astronomy- related packages, Astrophysics Source Code Library, record ascl:1906.010 Di Marcantonio, P., Morossi, C., Franchini, M., & Lehmann, H. 2019, AJ, 158, 161 Díaz, C. G., González, J. F., Levato, H., & Grosso, M. 2011, A&A, 531, A143

  22. [22]

    J., Bristow, P., Smoker, J

    Dorn, R. J., Bristow, P., Smoker, J. V ., et al. 2023, A&A, 671, A24

  23. [23]

    P., et al

    Finnerty, L., Inglis, J., Fitzgerald, M. P., et al. 2025, AJ, 170, 223

  24. [24]

    W., Xin, Y ., et al

    Finnerty, L., Xuan, J. W., Xin, Y ., et al. 2024, AJ, 167, 43

  25. [25]

    W., Lang, D., & Goodman, J

    Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306

  26. [26]

    J., Lodders, K., Marley, M

    Fortney, J. J., Lodders, K., Marley, M. S., & Freedman, R. S. 2008, ApJ, 678, 1419

  27. [27]

    R., Moran, S

    Gao, P., Wakeford, H. R., Moran, S. E., & Parmentier, V . 2021, Journal of Geo- physical Research (Planets), 126, e06655

  28. [28]

    2021, Nature, 592, 205

    Giacobbe, P., Brogi, M., Gandhi, S., et al. 2021, Nature, 592, 205

  29. [29]

    P., Nugroho, S

    Gibson, N. P., Nugroho, S. K., Lothringer, J., Maguire, C., & Sing, D. K. 2022, MNRAS, 512, 4618

  30. [30]

    2000, Icarus, 143, 308

    Goukenleuque, C., Bézard, B., Joguet, B., Lellouch, E., & Freedman, R. 2000, Icarus, 143, 308

  31. [31]

    2010, A&A, 520, A27

    Guillot, T. 2010, A&A, 520, A27

  32. [32]

    R., Millman, K

    Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357

  33. [33]

    2019, Annual Review of Earth and Planetary Sciences, 47, 583

    Helling, C. 2019, Annual Review of Earth and Planetary Sciences, 47, 583

  34. [34]

    Heng, K., Hayek, W., Pont, F., & Sing, D. K. 2012, MNRAS, 420, 20

  35. [35]

    & Tsai, S.-M

    Heng, K. & Tsai, S.-M. 2016, ApJ, 829, 104

  36. [36]

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

  37. [37]

    R., Weiner Mansfield, M., et al

    Kanumalla, K., Line, M. R., Weiner Mansfield, M., et al. 2024, AJ, 168, 201

  38. [38]

    Komacek, T. D. & Showman, A. P. 2016, ApJ, 821, 16

  39. [39]

    L., Désert, J.-M., et al

    Kreidberg, L., Bean, J. L., Désert, J.-M., et al. 2014, The Astrophysical Journal Letters, 793, L27

  40. [40]

    2025, A&A, 693, A72

    Lesjak, F., Nortmann, L., Cont, D., et al. 2025, A&A, 693, A72

  41. [41]

    2023, A&A, 678, A23

    Lesjak, F., Nortmann, L., Yan, F., et al. 2023, A&A, 678, A23

  42. [42]

    E., Rothman, L

    Li, G., Gordon, I. E., Rothman, L. S., et al. 2015, ApJS, 216, 15

  43. [43]

    R., Brogi, M., Bean, J

    Line, M. R., Brogi, M., Bean, J. L., et al. 2021, Nature, 598, 580

  44. [44]

    2018, A&A, 612, A93

    Maldonado, J., Villaver, E., & Eiroa, C. 2018, A&A, 612, A93

  45. [45]

    Martins, J. H. C., Santos, N. C., Figueira, P., et al. 2015, A&A, 576, A134

  46. [46]

    & Queloz, D

    Mayor, M. & Queloz, D. 1995, Nature, 378, 355

  47. [47]

    S., Strassmeier, K

    Metcalfe, T. S., Strassmeier, K. G., Ilyin, I. V ., et al. 2024, ApJ, 960, L6 Miller-Ricci Kempton, E. & Rauscher, E. 2012, ApJ, 751, 117 Mollière, P., Wardenier, J. P., van Boekel, R., et al. 2019, A&A, 627, A67

  48. [48]

    2016, ApJ, 832, 41

    Mordasini, C., van Boekel, R., Mollière, P., Henning, T., & Benneke, B. 2016, ApJ, 832, 41

  49. [49]

    Moses, J. I. 2014, Philosophical Transactions of the Royal Society of London Series A, 372, 20130073

  50. [50]

    2025, A&A, 693, A213 Öberg, K

    Nortmann, L., Lesjak, F., Yan, F., et al. 2025, A&A, 693, A213 Öberg, K. I., Murray-Clay, R., & Bergin, E. A. 2011, ApJ, 743, L16

  51. [51]

    T., Mendonça, J

    Parker, L. T., Mendonça, J. M., Diamond-Lowe, H., et al. 2025, MNRAS, 538, 3263

  52. [52]

    R., Bean, J

    Parmentier, V ., Line, M. R., Bean, J. L., et al. 2018, A&A, 617, A110 Peláez-Torres, A., Sánchez-López, A., Nortmann, L., et al. 2026, A&A, 705, A256

  53. [53]

    2021, AJ, 162, 73

    Pelletier, S., Benneke, B., Darveau-Bernier, A., et al. 2021, AJ, 162, 73

  54. [54]

    2021, A&A, 645, A96

    Pepe, F., Cristiani, S., Rebolo, R., et al. 2021, A&A, 645, A96

  55. [55]

    L., Kyuberis, A

    Polyansky, O. L., Kyuberis, A. A., Zobov, N. F., et al. 2018, MNRAS, 480, 2597

  56. [56]

    A., Nugroho, S

    Rafi, S. A., Nugroho, S. K., Tamura, M., Nortmann, L., & Sánchez-López, A. 2024, AJ, 168, 106

  57. [57]

    J., Fulton, B

    Rosenthal, L. J., Fulton, B. J., Hirsch, L. A., et al. 2021, ApJS, 255, 8 Sánchez-López, A., Alonso-Floriano, F. J., López-Puertas, M., et al. 2019, A&A, 630, A53 Sánchez-López, A. & Millán, A. P. 2025, arXiv e-prints, arXiv:2501.09494

  58. [58]

    2021, A&A, 646, A159

    Scandariato, G., Borsa, F., Sicilia, D., et al. 2021, A&A, 646, A159

  59. [59]

    V ., Prinoth, B., Pino, L., et al

    Seidel, J. V ., Prinoth, B., Pino, L., et al. 2025, Nature, 639, 902

  60. [60]

    P., Fortney, J

    Showman, A. P., Fortney, J. J., Lewis, N. K., & Shabram, M. 2013, ApJ, 762, 24

  61. [61]

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

    Showman, A. P., Tan, X., & Parmentier, V . 2020, Space Sci. Rev., 216, 139

  62. [62]

    2019, A&A, 629, A109

    Shulyak, D., Rengel, M., Reiners, A., Seemann, U., & Yan, F. 2019, A&A, 629, A109

  63. [63]

    2015, A&A, 576, A77

    Smette, A., Sana, H., Noll, S., et al. 2015, A&A, 576, A77

  64. [64]

    Snellen, I. A. G., de Kok, R. J., de Mooij, E. J. W., & Albrecht, S. 2010, Nature, 465, 1049

  65. [65]

    J., & Sams, G

    Southworth, J., Wheatley, P. J., & Sams, G. 2007, MNRAS, 379, L11

  66. [66]

    F., Birkby, J

    Spring, E. F., Birkby, J. L., Pino, L., et al. 2022, A&A, 659, A121

  67. [67]

    W., Kitzmann, D., & Patzer, A

    Stock, J. W., Kitzmann, D., & Patzer, A. B. C. 2022, MNRAS, 517, 4070

  68. [68]

    X., Welbanks, L., Teske, J., & Buchner, J

    Sun, Q., Wang, S. X., Welbanks, L., Teske, J., & Buchner, J. 2024, AJ, 167, 167

  69. [69]

    2005, MNRAS, 356, 1466

    Tamuz, O., Mazeh, T., & Zucker, S. 2005, MNRAS, 356, 1466

  70. [70]

    & Komacek, T

    Tan, X. & Komacek, T. D. 2019, ApJ, 886, 26

  71. [71]

    N., & Holman, M

    Torres, G., Winn, J. N., & Holman, M. J. 2008, ApJ, 677, 1324 van der Velden, E. 2020, The Journal of Open Source Software, 5, 2004

  72. [72]

    E., et al

    Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261

  73. [73]

    2010, ApJ, 716, 1060 V ogt, S

    Visscher, C., Lodders, K., & Fegley, Jr., B. 2010, ApJ, 716, 1060 V ogt, S. S., Radovan, M., Kibrick, R., et al. 2014, PASP, 126, 359

  74. [74]

    R., Sing, D

    Wakeford, H. R., Sing, D. K., Deming, D., et al. 2018, AJ, 155, 29

  75. [75]

    F., et al

    Welbanks, L., Madhusudhan, N., Allard, N. F., et al. 2019, ApJ, 887, L20

  76. [76]

    2025, MN- RAS[arXiv:2510.18587]

    Williams, J., Krijt, S., Bitsch, B., Houge, A., & Bergner, J. 2025, MN- RAS[arXiv:2510.18587]

  77. [77]

    L., Zhang, M., et al

    Xue, Q., Bean, J. L., Zhang, M., et al. 2024, ApJ, 963, L5

  78. [78]

    2023, A&A, 672, A107

    Yan, F., Nortmann, L., Reiners, A., et al. 2023, A&A, 672, A107

  79. [79]

    2022, A&A, 661, L6

    Yan, F., Pallé, E., Reiners, A., et al. 2022, A&A, 661, L6

  80. [80]

    P., Householder, A., et al

    Zhang, Y ., Wardenier, J. P., Householder, A., et al. 2026, ApJ, 997, L40 Article number, page 12 of 16 D. Cont et al.: 51 Peg b revisited with VLT/CRIRES+ Appendix A: Additional figures Fig. A.1: Radial velocity offsets before (top panel) and after (bottom panel) the alignment to themolecfitwavelength so- lution. Each data point represents an individual ...