Skip to main content

Research Repository

Advanced Search

Outputs (434)

The “External” Shears In Strong Lens Models (2022)
Journal Article
Nightingale, J. W., Etherington, A., & Massey, R. (2022). The “External” Shears In Strong Lens Models. Proceedings of the International Astronomical Union, 18(S381), 13-16. https://doi.org/10.1017/s1743921323003691

The distribution of mass in galaxy-scale strong gravitational lenses is often modelled as an elliptical power law plus ‘external shear’, which notionally accounts for line-of-sight galaxies and cosmic shear. We argue that it does not, using three lin... Read More about The “External” Shears In Strong Lens Models.

Measuring cavity powers of active galactic nuclei in clusters using a hybrid X-ray–radio method. A new window on feedback opened by subarcsecond LOFAR-VLBI observations (2022)
Journal Article
Timmerman, R., van Weeren, R., Botteon, A., Röttgering, H., McNamara, B., Sweijen, F., Bîrzan, L., & Morabito, L. (2022). Measuring cavity powers of active galactic nuclei in clusters using a hybrid X-ray–radio method. A new window on feedback opened by subarcsecond LOFAR-VLBI observations. Astronomy & Astrophysics, 668, Article A65. https://doi.org/10.1051/0004-6361/202243936

Measurements of the quantity of radio-mode feedback injected by an active galactic nucleus into the cluster environment have mostly relied on X-ray observations, which reveal cavities in the intracluster medium excavated by the radio lobes. However,... Read More about Measuring cavity powers of active galactic nuclei in clusters using a hybrid X-ray–radio method. A new window on feedback opened by subarcsecond LOFAR-VLBI observations.

Joint machine learning analysis of muon spectroscopy data from different materials (2022)
Journal Article
Tula, T., Möller, G., Quintanilla, J., Giblin, S., Hillier, A., McCabe, E., Ramos, S., Barker, D., & Gibson, S. (2022). Joint machine learning analysis of muon spectroscopy data from different materials. Journal of Physics: Conference Series, 2164, Article 012018. https://doi.org/10.1088/1742-6596/2164/1/012018

Machine learning (ML) methods have proved to be a very successful tool in physical sciences, especially when applied to experimental data analysis. Artificial intelligence is particularly good at recognizing patterns in high dimensional data, where i... Read More about Joint machine learning analysis of muon spectroscopy data from different materials.

Bi2CoO2F4 – a polar, ferrimagnetic Aurivillius oxide-fluoride (2022)
Journal Article
Scott, E. A., Mitoudi Vagourdei, E., Johnsson, M., Cascos, V., John, F., Pickup, D., Chadwick, A. V., Djani, H., Bousquet, E., Zhang, W., Halasyamani, P. S., & McCabe, E. (2022). Bi2CoO2F4 – a polar, ferrimagnetic Aurivillius oxide-fluoride. Chemistry of Materials, 34(21), 9775-9785. https://doi.org/10.1021/acs.chemmater.2c02745

Aurivillius oxides have been a research focus due to their ferroelectric properties, but by replacing oxide ions by fluoride, divalent magnetic cations can be introduced, giving Bi2MO2F4 (M = Fe, Co, and Ni). Our combined experimental and computation... Read More about Bi2CoO2F4 – a polar, ferrimagnetic Aurivillius oxide-fluoride.

SWIFT J0503.7-2819: A nearly synchronous intermediate polar below the period gap? (2022)
Journal Article
Rawat, N., Pandey, J., Joshi, A., Scaringi, S., & Yadava, U. (2022). SWIFT J0503.7-2819: A nearly synchronous intermediate polar below the period gap?. Monthly Notices of the Royal Astronomical Society, 517(2), 1667-1677. https://doi.org/10.1093/mnras/stac2723

Based on the X-ray observations from XMM-Newton and Swift, and optical observations from Transiting Exoplanet Survey Satellite (TESS) and AAVSO, we present temporal and spectral properties of probable intermediate polar SWIFT J0503.7-2819. The X-ray... Read More about SWIFT J0503.7-2819: A nearly synchronous intermediate polar below the period gap?.

Testing strong lensing subhalo detection with a cosmological simulation (2022)
Journal Article
He, Q., Nightingale, J., Robertson, A., Amvrosiadis, A., Cole, S., Frenk, C. S., Massey, R., Li, R., Amorisco, N. C., Metcalf, R. B., Cao, X., & Etherington, A. (2023). Testing strong lensing subhalo detection with a cosmological simulation. Monthly Notices of the Royal Astronomical Society, 518(1), 220-239. https://doi.org/10.1093/mnras/stac2779

Strong gravitational lensing offers a compelling test of the cold dark matter paradigm, as it allows for subhaloes with masses of ∼109 M⊙ and below to be detected. We test commonly-used techniques for detecting subhaloes superposed in images of stron... Read More about Testing strong lensing subhalo detection with a cosmological simulation.

Redshift effects in particle production from Kerr primordial black holes (2022)
Journal Article
Cheek, A., Heurtier, L., Perez-Gonzalez, Y. F., & Turner, J. (2022). Redshift effects in particle production from Kerr primordial black holes. Physical Review D, 106(10), https://doi.org/10.1103/physrevd.106.103012

When rotating primordial black holes evaporate via Hawking radiation, their rotational energy and mass are dissipated with different dynamics. We investigate the effect of these dynamics on the production of dark radiation—in the form of hot graviton... Read More about Redshift effects in particle production from Kerr primordial black holes.

Denoising Diffusion Probabilistic Models on SO(3) for Rotational Alignment (2022)
Presentation / Conference Contribution
Leach, A., Schmon, S. M., Degiacomi, M. T., & Willcocks, C. G. (2022, April). Denoising Diffusion Probabilistic Models on SO(3) for Rotational Alignment. Presented at ICLR 2022 Workshop on Geometrical and Topological Representation Learning

Probabilistic diffusion models are capable of modeling complex data distributions on high-dimensional Euclidean spaces for a range applications. However, many real world tasks involve more complex structures such as data distributions defined on mani... Read More about Denoising Diffusion Probabilistic Models on SO(3) for Rotational Alignment.