Search results
Results: 36
Number of items: 36
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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 -
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 -
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 -
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., Forré, P., Louppe, G., & Weniger, C. (2021). Truncated Marginal Neural Ratio Estimation - Data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5592427
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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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