=========== References =========== Cite doppleriann ----------------- If you use ``doppleriann`` in scientific work, please cite the associated paper: * [Gómez-Vargas, I., Dumusque, X., Zhao, Y., Al Moulla, K., & Cretignier, M. (2026). Modeling Doppler Shifts in Radial-Velocity Data with Deep Learning toward Earth-mass Exoplanet Detection. Accepted in Astronomy & Astrophysics.](https://doi.org/10.1051/0004-6361/202659375) Cite external papers and codes ------------------------------- The project builds on the following papers and methods: * Shell representations: * Gradient flux with respect to wavelength: * Cretignier, M., Dumusque, X., & Pepe, F. (2022). Stellar activity correction using PCA decomposition of shells. *Astronomy & Astrophysics*, 659, A68. * Gradient of flux with respect to velocity: * Zhao, Y., Dumusque, X., Cretignier, M., Cameron, A. C., Latham, D. W., López-Morales, M., Mayor, M., Sozzetti, A., Cosentino, R., Gómez-Vargas, I., Pepe, F., & Udry, S. (2024). Improving Earth-like planet detection in radial velocity using deep learning. *Astronomy & Astrophysics*, 687, A281. * Temperature-line formation: * Al Moulla, K., Dumusque, X., Cretignier, M., Zhao, Y., & Valenti, J. A. (2022). Measuring precise radial velocities on individual spectral lines-III. Dependence of stellar activity signal on line formation temperature. *Astronomy & Astrophysics*, 664, A34. * Al Moulla, K., Dumusque, X., & Cretignier, M. (2024). Measuring precise radial velocities on individual spectral lines-IV. Stellar activity correlation with line formation temperature. *Astronomy & Astrophysics*, 683, A106.