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Results: 7
Number of items: 7
  • Abellán, G. F., Montel, N. A., Savchenko, O., & Weniger, C. (2025). How to embed any likelihood into simulation-based inference: Application to Planck and stage IV galaxy surveys and dynamical dark energy. Physical Review D, 112(10), Article 103526. https://doi.org/10.1103/ws4b-7qrw
  • Open Access
    Eckner, C., Montel, N. A., List, F., Calore, F., & Weniger, C. (2025). Robust neural determination of the source-count distribution of the Fermi-LAT sky at high latitudes. Physical Review D, 112(10), 1-55. Article 103022. https://doi.org/10.1103/p4gf-d2zt
  • Open Access
    Anau Montel, N. (2024). Simulation-based inference for astrophysical data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Montel, N. A., Alvey, J., & Weniger, C. (2024). Scalable inference with autoregressive neural ratio estimation. Monthly Notices of the Royal Astronomical Society, 530(4), 4107-4124. https://doi.org/10.1093/mnras/stae1130
  • Open Access
    Coogan, A., Anau Montel, N., Karchev, K., Grootes, M. W., Nattino, F., & Weniger, C. (2024). The effect of the perturber population on subhalo measurements in strong gravitational lenses. Monthly Notices of the Royal Astronomical Society, 527(1), 66-78. https://doi.org/10.1093/MNRAS/STAD2925
  • Open Access
    Montel, N. A., Coogan, A., Correa, C., Karchev, K., & Weniger, C. (2023). Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation. Monthly Notices of the Royal Astronomical Society, 518(2), 2746-2760. https://doi.org/10.1093/mnras/stac3215
  • Open Access
    Correa, C. A., Schaller, M., Ploeckinger, S., Montel, N. A., Weniger, C., & Ando, S. (2022). TangoSIDM: tantalizing models of self-interacting dark matter. Monthly Notices of the Royal Astronomical Society, 517(2), 3045-3063. https://doi.org/10.1093/mnras/stac2830
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