All Outputs (7)

Characterization of the ground layer of turbulence at Paranal using a robotic SLODAR system (2019)
Journal Article
Butterley, T., Wilson, R., Sarazin, M., Dubbeldam, M., Osborn, J., & Clark, P. (2020). Characterization of the ground layer of turbulence at Paranal using a robotic SLODAR system. Monthly Notices of the Royal Astronomical Society, 492(1), 934-949. https://doi.org/10.1093/mnras/stz3498

We describe the implementation of a robotic SLODAR instrument at the Cerro Paranal observatory. The instrument measures the vertical profile of the optical atmospheric turbulence strength, in 8 resolution elements, to a maximum altitude ranging betwe... Read More about Characterization of the ground layer of turbulence at Paranal using a robotic SLODAR system.

Automated wind velocity profiling from adaptive optics telemetry (2019)
Journal Article
Laidlaw, D. J., Osborn, J., Morris, T. J., Basden, A. G., Gendron, E., Rousset, G., Townson, M. J., & Wilson, R. W. (2020). Automated wind velocity profiling from adaptive optics telemetry. Monthly Notices of the Royal Astronomical Society, 491(1), 1287-1294. https://doi.org/10.1093/mnras/stz3062

Ground-based adaptive optics (AO) systems can use temporal control techniques to greatly improve image resolution. A measure of wind velocity as a function of altitude is needed to minimize the temporal errors associated with these systems. Spatio-te... Read More about Automated wind velocity profiling from adaptive optics telemetry.

AOtools - a Python package for adaptive optics modelling and analysis (2019)
Journal Article
Townson, M., Farley, O., Orban de Xivry, G., Osborn, J., & Reeves, A. (2019). AOtools - a Python package for adaptive optics modelling and analysis. Optics Express, 27(22), 31316-31329. https://doi.org/10.1364/oe.27.031316

AOtools is a Python package that is open-source and aimed at providing tools for adaptive optics users and researchers. We present version 1.0, which contains tools for adaptive optics processing, including analysing data in the pupil plane, images a... Read More about AOtools - a Python package for adaptive optics modelling and analysis.

Atmospheric scintillation noise in ground-based exoplanet photometry (2019)
Journal Article
Föhring, D., Wilson, R., Osborn, J., & Dhillon, V. (2019). Atmospheric scintillation noise in ground-based exoplanet photometry. Monthly Notices of the Royal Astronomical Society, 489(4), 5098-5108. https://doi.org/10.1093/mnras/stz2444

Atmospheric scintillation caused by optical turbulence in the Earth’s atmosphere can be the dominant source of noise in ground-based photometric observations of bright targets, which is a particular concern for ground-based exoplanet transit photomet... Read More about Atmospheric scintillation noise in ground-based exoplanet photometry.

Experience with Artificial Neural Networks Applied in Multi-object Adaptive Optics (2019)
Journal Article
Suárez Gómez, S. L., González-Gutiérrez, C., Alonso, E. D., Santos, J. D., Rodríguez, M. L. S., Morris, T., Osborn, J., Basden, A., Bonavera, L., González, J. G.-N., & de Cos Juez, F. J. (2019). Experience with Artificial Neural Networks Applied in Multi-object Adaptive Optics. Publications of the Astronomical Society of the Pacific, 131(1004), Article 108012. https://doi.org/10.1088/1538-3873/ab1ebb

The use of artificial Intelligence techniques has become widespread in many fields of science, due to their ability to learn from real data and adjust to complex models with ease. These techniques have landed in the field of adaptive optics, and are... Read More about Experience with Artificial Neural Networks Applied in Multi-object Adaptive Optics.

Identifying optical turbulence profiles for realistic tomographic error in adaptive optics (2019)
Journal Article
Farley, O., Osborn, J., Morris, T., Fusco, T., Neichel, B., Correia, C., & Wilson, R. (2019). Identifying optical turbulence profiles for realistic tomographic error in adaptive optics. Monthly Notices of the Royal Astronomical Society, 488(1), 213-221. https://doi.org/10.1093/mnras/stz1669

For extremely large telescopes, adaptive optics will be required to correct the Earth’s turbulent atmosphere. The performance of tomographic adaptive optics is strongly dependent on the vertical distribution (profile) of this turbulence. An important... Read More about Identifying optical turbulence profiles for realistic tomographic error in adaptive optics.

Efficient implementation of pseudo open loop control for adaptive optics on Extremely Large Telescopes (2019)
Journal Article
Basden, A., Jenkins, D., Morris, T., Osborn, J., & Townson, M. (2019). Efficient implementation of pseudo open loop control for adaptive optics on Extremely Large Telescopes. Monthly Notices of the Royal Astronomical Society, 486(2), 1774-1780. https://doi.org/10.1093/mnras/stz918

Closed-loop adaptive optics systems which use minimum mean square error wavefront reconstruction require the computation of pseudo open loop wavefront slopes. These techniques incorporate a knowledge of atmospheric statistics which must therefore be... Read More about Efficient implementation of pseudo open loop control for adaptive optics on Extremely Large Telescopes.