We present a physically motivated spectral energy distribution (SED) modelling framework for deriving stellar and circumstellardisc parameters from broadband photometry. The model combines a parametrized disc structure, dust opacity, and interstellarextinction within a Bayesian Markov Chain Monte Carlo (MCMC) inference scheme, allowing correlated parameters to beconstrained self-consistently. Initial parameter estimates are obtained via non-linear least-squares fitting and subsequently refinedthrough MCMC sampling. The method is first validated using the well-studied debris disc system 49 Cet, for which the modelsuccessfully 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 fitindicates a late-type pre-main-sequence star surrounded by a substantial circumstellar disc consistent with a moderately embeddedClass II object. We further assess the sensitivity of the inferred parameters to the adopted extinction law and find that the highreddening required by the model is robust against variations in 𝑅V. This work demonstrates that physically meaningful constraintson disc structure can be obtained from broadband SED modelling when extinction and distance are treated within a statisticallyconsistent framework.
Bakış et al. (Wed,) studied this question.