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.

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.