Journals / Physics and Astronomy Reports / 2026 / Volume: 4 Issue: 1

Parametric SED Modelling of Protoplanetary Discs: Validation and Application to An Unstudied YSO

Pages
—
Publication Date
2026-06-17
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This work demonstrates that physically meaningful constraints on disc structure can be obtained from broadband SED modelling when extinction and distance are treated within a statistically consistent framework.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:We present a physically motivated spectral energy distribution (SED) modelling framework for deriving stellar and circumstellar disc parameters from broadband photometry.
📊
Key Findings & Data:The method is first validated using the well-studied debris disc system 49 Cet, for which the model successfully reproduces key literature properties.
💡
Conclusion & Impact:This work demonstrates that physically meaningful constraints on disc structure can be obtained from broadband SED modelling when extinction and distance are treated within a statistically consistent framework.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Circumstellar matter · Protoplanetary discs · Radiative transfer

Abstract

We present a physically motivated spectral energy distribution (SED) modelling framework for deriving stellar and circumstellar disc parameters from broadband photometry. The model combines a parametrized disc structure, dust opacity, and interstellar extinction within a Bayesian Markov Chain Monte Carlo (MCMC) inference scheme, allowing correlated parameters to be constrained self-consistently. Initial parameter estimates are obtained via non-linear least-squares fitting and subsequently refined through MCMC sampling. The method is first validated using the well-studied debris disc system 49 Cet, for which the model successfully reproduces key literature properties. It is then applied to the previously uncharacterised young stellar object (YSO) candidate 2MASS J02512618+6012576, using photometric measurements compiled from multiple surveys. The resulting fit indicates a late-type pre-main-sequence star surrounded by a substantial circumstellar disc consistent with a moderately embedded Class II object. We further assess the sensitivity of the inferred parameters to the adopted extinction law and find that the high reddening required by the model is robust against variations in 𝑅V. This work demonstrates that physically meaningful constraints on disc structure can be obtained from broadband SED modelling when extinction and distance are treated within a statistically consistent framework.

🔖

Cite This Article

Bakış, V., Habalı, A. Y. (2026). Parametric SED Modelling of Protoplanetary Discs: Validation and Application to An Unstudied YSO. Physics and Astronomy Reports, Volume: 4 Issue: 1. https://doi.org/10.26650/PAR.2026.00005

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (32)

  1. Adams F. C., Lada C. J., Shu F. H., 1987, ApJ, 312, 788 google scholar
  2. Andrews S. M., Williams J. P., 2005, ApJ, 631, 1134 google scholar
  3. Andrews S. M., Wilner D. J., Hughes A. M., Qi C., Dullemond C. P.,2009, ApJ, 700, 1502 google scholar
  4. Andrews S. M., Rosenfeld K. A., Kraus A. L.,Wilner D. J., 2013, ApJ,771, 129 google scholar
  5. Bakış V., Eker Z., 2022, ActA, 72, 195 google scholar
  6. Beckwith S. V. W., Sargent A. I., Chini R. S., Guesten R., 1990, AJ,99, 924 google scholar
  7. Beuzit J.-L., et al., 2019, A&A, 631, A155 google scholar
  8. Chambers K. C., et al., 2016, arXiv e-prints, p. arXiv:1612.05560 google scholar
  9. Chiang E. I., Goldreich P., 1997, ApJ, 490, 368 google scholar
  10. Dullemond C. P., Dominik C., Natta A., 2001, ApJ, 560, 957 google scholar
  11. Dullemond C. P., Juhasz A., Pohl A., Sereshti F., Shetty R., Peters T., Commercon B., Flock M., 2012, RADMC-3D: A multi-purpose radiative transfer tool, Astrophysics Source Code Library, record ascl:1202.015 (ascl:1202.015) google scholar
  12. Foreman-Mackey D., Hogg D.W., Lang D., Goodman J., 2013, PASP,125, 306 google scholar
  13. Gaia Collaboration et al., 2023, A&A, 674, A1 google scholar
  14. Gordon K. D., Clayton G. C., Decleir M., Fitzpatrick E. L., Massa D.,Misselt K. A., Tollerud E. J., 2023, ApJ, 950, 86 google scholar
  15. Habalı A. Y., Bakıs, V., 2026, Advances in Space Research, 77, 4018 google scholar
  16. Hildebrand R. H., 1983, QJRAS, 24, 267 google scholar
  17. Hughes A. M., et al., 2017, ApJ, 839, 86 google scholar
  18. Kobayashi H., Kimura H., Watanabe S.-i., Yamamoto T., Müller S., 2011, Earth, Planets and Space, 63, 1067 google scholar
  19. Lada C. J., 1987, in Peimbert M., Jugaku J., eds, IAU Symposium Vol.115, Star Forming Regions. p. 1 google scholar
  20. Lynden-Bell D., Pringle J. E., 1974, MNRAS, 168, 603 google scholar
  21. Neugebauer G., et al., 1984, ApJ, 278, L83 google scholar
  22. Nhung P. T., Hoai D. T., Tuan-Anh P., Diep P. N., Phuong N. T., Thao N. T., Darriulat P., 2017, MNRAS, 469, 4726 google scholar
  23. Pilbratt G. L., et al., 2010, A&A, 518, L1 google scholar
  24. Pinte C., Ménard F., Duchêne G., Bastien P., 2006, A&A, 459, 797 google scholar
  25. Pollack J. B., Hollenbach D., Beckwith S., Simonelli D. P., Roush T., Fong W., 1994, ApJ, 421, 615 google scholar
  26. Sharpless S., 1955, AJ, 60, 178 google scholar
  27. Shu F. H., 1977, ApJ, 214, 488 google scholar
  28. Skrutskie M. F., et al., 2006, AJ, 131, 1163 google scholar
  29. Virtanen P., et al., 2020, Nature Medicine, 17, 261 google scholar
  30. Werner M. W., et al., 2004, ApJS, 154, 1 google scholar
  31. Wootten A., Thompson A. R., 2009, IEEE Proceedings, 97, 1463 google scholar
  32. Wright E. L., et al., 2010, AJ, 140, 1868 google scholar