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Welcome to Durham Research Online (DRO)

Durham Research Online (DRO) is the University’s Open Access repository for publications. The primary purpose of DRO is to provide open access to publications authored by staff and students affiliated with Durham University.

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Latest Additions

Maximizing the physics potential of B±→π±μ+μ− decays (2024)
Journal Article
Marshall, A. M., McCann, M. A., Patel, M., Petridis, K. A., Reboud, M., & van Dyk, D. (2024). Maximizing the physics potential of B±→π±μ+μ− decays. Physical Review D, 109(11), https://doi.org/10.1103/physrevd.109.116013

We present a method that maximizes the experimental sensitivity to new physics contributions in 𝐵±→𝜋±⁢𝜇+⁢𝜇− decays. This method relies on performing an unbinned maximum likelihood fit to both the measured dimuon 𝑞2 distribution of 𝐵±→𝜋±⁢𝜇+⁢𝜇− decays,... Read More about Maximizing the physics potential of B±→π±μ+μ− decays.

Role of cosmological gravitational particle production in baryogenesis (2024)
Journal Article
Flores, M. M., & Perez-Gonzalez, Y. F. (2024). Role of cosmological gravitational particle production in baryogenesis. Physical Review D, 109(11), https://doi.org/10.1103/physrevd.109.115017

We investigate the generation of the baryon asymmetry within the framework of cosmological gravitational particle production, employing the Bogoliubov approach. We examine two well-known baryogenesis scenarios, namely baryogenesis in grand unified th... Read More about Role of cosmological gravitational particle production in baryogenesis.

CTNeRF: Cross-time Transformer for dynamic neural radiance field from monocular video (2024)
Journal Article
Miao, X., Bai, Y., Duan, H., Wan, F., Huang, Y., Long, Y., & Zheng, Y. (2024). CTNeRF: Cross-time Transformer for dynamic neural radiance field from monocular video. Pattern Recognition, 156, Article 110729. https://doi.org/10.1016/j.patcog.2024.110729

The goal of our work is to generate high-quality novel views from monocular videos of complex and dynamic scenes. Prior methods, such as DynamicNeRF, have shown impressive performance by leveraging time-varying dynamic radiation fields. However, thes... Read More about CTNeRF: Cross-time Transformer for dynamic neural radiance field from monocular video.

Self-assembly of cucurbiturils and cyclodextrins to supramolecular millstones with naphthalene derivatives capable of translocations in the host cavities (2019)
Journal Article
Vedernikov, A. I., Lobova, N. A., Kuz’mina, L. G., Fomina, M. V., Strelenko, Y. A., Howard, J. A., & Gromov, S. P. (2019). Self-assembly of cucurbiturils and cyclodextrins to supramolecular millstones with naphthalene derivatives capable of translocations in the host cavities. New Journal of Chemistry, 43(9), 3673-3689. https://doi.org/10.1039/c8nj04685a