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Results: 11
Number of items: 11
  • Open Access
    Alvey, J., Bhardwaj, U., Domcke, V., Pieroni, M., & Weniger, C. (2025). Leveraging time-dependent instrumental noise for the LISA stochastic gravitational wave background analysis. Physical Review D, 111(10), Article 102006. https://doi.org/10.1103/PhysRevD.111.102006
  • Open Access
    Alvey, J., Bhardwaj, U., Domcke, V., Pieroni, M., & Weniger, C. (2024). Simulation-based inference for stochastic gravitational wave background data analysis. Physical Review D, 109(8), Article 083008. https://doi.org/10.1103/PhysRevD.109.083008
  • 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
  • Alvey, J., & Bhardwaj, U. (2023, September 13). Simulation-based inference for stochastic gravitational wave background data analysis [Data set]. Zenodo. https://zenodo.org/record/8305405
  • Alvey, J., & Bhardwaj, U. (2023, August 15). What to do when things get crowded? Scalable joint analysis of overlapping gravitational wave signals [DATASET] [Data set]. Zenodo. https://zenodo.org/records/8191764
  • Bhardwaj, U., & Alvey, J. (2023, April 4). Peregrine: Sequential simulation-based inference for gravitational wave signals [DATASET] [Data set]. Zenodo. https://zenodo.org/records/7788596
  • Open Access
    Alvey, J., Bringmann, T., & Kolesova, H. (2023). No room to hide: implications of cosmic-ray upscattering for GeV-scale dark matter. Journal of High Energy Physics, 2023(1), Article 123. https://doi.org/10.1007/JHEP01(2023)123
  • Open Access
    Bhardwaj, U., Alvey, J., Miller, B. K., Nissanke, S., & Weniger, C. (2023). Sequential simulation-based inference for gravitational wave signals. Physical Review D, 108(4), Article 042004. https://doi.org/10.48550/arXiv.2304.02035, https://doi.org/10.1103/PhysRevD.108.042004
  • Open Access
    Alvey, J., Gerdes, M., & Weniger, C. (2023). Albatross: a scalable simulation-based inference pipeline for analysing stellar streams in the Milky Way. Monthly Notices of the Royal Astronomical Society, 525(3), 3662-3681. https://doi.org/10.1093/mnras/stad2458
  • Alvey, J., Escudero, M., & Sabti, N. (2022). What can CMB observations tell us about the neutrino distribution function? Journal of Cosmology and Astroparticle Physics, 2022(2), Article 037. https://doi.org/10.1088/1475-7516/2022/02/037
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