Publikationen von Luisa Lucie-Smith

Lucie-Smith, L.; Despali, G.; Springel, V.: A deep-learning model for the density profiles of subhaloes in IllustrisTNG. Monthly Notices of the Royal Astronomical Society 531 (4), S. 164 - 176 (2024)

Lucie-Smith, L.; Peiris, H. V.; Pontzen, A.; Nord, B.; Thiyagalingam, J.: Deep learning insights into cosmological structure formation. Physical Review D 109 (6), 063524 (2024)

Guo, N.; Lucie-Smith, L.; Peiris V, H.; Pontzen, A.; Piras, D.: Deep learning insights into non-universality in the halo mass function. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 532 (4), S. 4141 - 4156 (2024)

Lucie-Smith, L.; Barreira, A.; Schmidt, F.: Halo assembly bias from a deep learning model of halo formation. Monthly Notices of the Royal Astronomical Society 524 (2), S. 1746 - 1756 (2023)

Piras, D.; Peiris, H. V.; Pontzen, A.; Lucie-Smith, L.; Guo, N.; Nord, B.: A robust estimator of mutual information for deep learning interpretability. Machine Learning: Science and Technology 4 (2), 025006 (2023)

Lucie-Smith, L.; Adhikari, S.; Wechsler, R. H.: Insights into the origin of halo mass profiles from machine learning. Monthly Notices of the Royal Astronomical Society 515 (2), S. 2164 - 2177 (2022)

Lucie-Smith, L.; Peiris, H. V.; Pontzen, A.; Nord, B.; Thiyagalingam, J.; Piras, D.: Discovering the building blocks of dark matter halo density profiles with neural networks. Physical Review D 105 (10), 103533 (2022)