糖心TV CSDA - About Us
Research
The CSDA brings together researchers from multiple groups across the University of 糖心TV to tackle some of the many complex, cross-disciplinary problems associated with space domain awareness. The boxes below summarise the research interests of each group.
Astronomy and AstrophysicsLink opens in a new window
Members of the Astronomy and Astrophysics Group have been conducting SDA research since 2017. Effective SDA strongly relies on the acquisition of real-time, precise data for objects orbiting the Earth, using a range of sensors that sample different bands of the electromagnetic spectrum. With a strong pedigree in astronomical instrumentation and wide field surveying, much of our SDA research has been driven by existing 糖心TV infrastructure on the Canary Island of La Palma. Current research covers:
- the optimisation of observational strategies when conducting blind/targeted surveys of low and high altitude objects, and the development of robust algorithms to detect, track and characterise imaged objects;
- the extraction of high cadence light curves from optical CCD data, and the development of machine learning algorithms to characterise objects in orbit based on their photometric signatures;
- the application of sCMOS technology to rapidly acquire image data, and overcoming associated strains placed on storage and frame rate capacities.
Centre for Fusion, Space and Astrophysics (CFSA)Link opens in a new window
Research in the CFSA includes a comprehensive programme in solar system plasma physics. The highly variable near-Earth plasma environment is a key factor in satellite specification, operation and endurance. We study the fundamental plasma physics of the solar corona, the solar wind, and the near-Earth plasma environment. This supports our space weather research which covers:
- space weather modelling and prediction by large-scale numerical simulation;
- data driven discovery, bringing new insights to the extensive and inhomogeneous datasets from solar and magnetospheric observations;
- statistical approaches to quantifying space weather risk.
StatisticsLink opens in a new window
- Leveraging a dedicated representation of uncertainty for modelling a lack of knowledge, e.g. for initial orbit determination
- Designing efficient and scalable data association techniques
- Introducing decentralised sensor fusion algorithms with high information retention
Publications
Below is a list of selected publications and proceedings involving current and past members of the CSDA.
| Author(s) | Title | Date | Journal/Proceedings | Open Access |
|---|---|---|---|---|
| Cooke et al. | Predicting RSO populations using a neighbouring orbits technique | 08/24 | ||
| Shrive et al. | Classifying LEO satellite platforms with boosted decision trees | 05/24 | ||
| Blake et al. | Exploring SDA Sensor Architectures for the Surveillance of Geosynchronous Spacecraft | 09/23 | ||
| Cooke et al. | Simulated recovery of LEO objects using sCMOS blind stacking | 05/23 | ||
| Blake et al. | The Global Network On Sustainability In Space (GNOSIS): Activities, Initiatives, and Future Endeavours | 09/22 | ||
|
Wiersema et al. |
Short timescale imaging polarimetry of geostationary satellite Thor-6: the nature of micro-glints | 07/22 | ||
| Delande & Houssineau | Uncertain Data Representation (In: Space Domain Awareness, 1st edition) | 06/22 | ||
| Blake | Looking out for a sustainable space | 04/22 | , | |
| Blake | Optical imaging of space debris in low and high altitude orbits | 10/21 | ThesisLink opens in a new window | |
| George et al. | PHANTOM ECHOES 2: A Five-Eyes SDA Experiment on GEO Proximity Operations | 09/21 | ||
| Blake et al. | DebrisWatch I: A survey of faint geosynchronous debris | 01/21 | , | |
| Blake et al. | Supplementing a survey of geosynchronous debris with commercial-off-the-shelf equipment | 09/20 | ||
| Chote, Blake & Pollacco | Precision optical light curves of LEO and GEO objects | 09/19 | ||
| Blake et al. | Optical imaging of faint geosynchronous debris with the Isaac Newton Telescope | 09/19 | ||
| Delande et al. | A new multi-target tracking algorithm for a large number of orbiting objects | 08/19 | ||
| Delande, Houssineau & Jah | Physics and Human-Based Information Fusion for Improved Resident Space Object Tracking | 10/18 | ||
| Delande et al. | Novel Multi-Object Filtering Approach for Space Situational Awareness | 01/18 |