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Results: 36
Number of items: 36
  • Open Access
    Abbott, R., LIGO Scientific Collaboration, Virgo Collaboration, & Mukherjee, S. (2022). Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO's and Advanced Virgo's Third Observing Run. Physical Review Letters, 129(6), Article 061104. https://doi.org/10.1103/PhysRevLett.129.061104
  • Open Access
    Abbott, R., LIGO Scientific Collaboration, The Virgo Collaboration, & The KAGRA Collaboration (2022). All-sky, all-frequency directional search for persistent gravitational waves from Advanced LIGO's and Advanced Virgo's first three observing runs. Physical Review D. Particles, Fields, Gravitation, and Cosmology, 105(12), Article 122001. https://doi.org/10.1103/PhysRevD.105.122001
  • Open Access
    Abbott, R., LIGO Collaboration, Virgo Collaboration, & KAGRA Collaboration (2022). Search for gravitational waves from Scorpius X-1 with a hidden Markov model in O3 LIGO data. Physical Review D. Particles, Fields, Gravitation, and Cosmology, 106(6), Article 062002. https://doi.org/10.1103/PhysRevD.106.062002
  • Open Access
    Abbott, R., Antier, S., Bhardwaj, U., Bulten, H. J., Caudill, S., Guo, Y., Kalaghatgi, C., Leonova, E., Linde, F., London, L. T., Miller, B., Mukherjee, S., Nissanke, S. M., Phukon, K. S., Raaijmakers, G., Sallé, M., van Bakel, N., van Beuzekom, M., van den Brand, J. F. J., ... The KAGRA Collaboration (2022). Model-based Cross-correlation Search for Gravitational Waves from the Low-mass X-Ray Binary Scorpius X-1 in LIGO O3 Data. Astrophysical Journal Letters, 941(2), Article L30. https://doi.org/10.3847/2041-8213/aca1b0
  • Miller, B. K., Cole, A., ForrĂ©, P., Louppe, G., & Weniger, C. (2021). Truncated Marginal Neural Ratio Estimation - Data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5592427
  • Open Access
    Miller, B. K., Cole, A., Louppe, G., & Weniger, C. (2020). Simulation-efficient marginal posterior estimation with swyft: Stop wasting your precious time. Paper presented at Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Vancouver, Canada. https://ml4physicalsciences.github.io/2020/files/NeurIPS_ML4PS_2020_106.pdf
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