# Research projects

### Ongoing research projects

- Interstellar travel, e.g. navigation and solar sails
- Origins of interstellar objects (ISOs, so far we know two: 1I/'Oumuamua and 2I/Borisov

(and before you ask: they are extremely unlikely to be alien spacecraft. We need not point at aliens to fill gaps in understanding) - Close encounters of the stellar kind (ADS) (see also other publications)
*astroimpacts*: Astronomical impacts on terrestrial climate and biodiversity (mass extinctions)- Bayesian distance inference
- Gaia Galactic survey mission
- Machine learning from big data
- Three dimensional dust mapping in the Milky Way (see publications)
- Time series modelling, e.g. for event data or a general Bayesian method (see also other publications)

### Some earlier projects

- Substellar (brown dwarf) luminosity and mass function in stellar clusters (see publications)
- Classification and parametrization of unresolved galaxy spectra (e.g. this paper)
- Rotation, variability and atmospheres of ultracool dwarfs
- Infrared parallax measurements of T dwarfs
- Gaia Classification working group
- Angular momentum evolution and disks in low mass stars in young open clusters (see publications)
- Design of photometric systems using evolutionary algorithms
- Omega 2000: A wide field near infrared camera
- Modelling of materials forging for the prediction of microstructure
- Gaussian Process modelling
- Neural network classification of stellar spectra

### Algorithms and software

- Various R codes for data analysis and simulation
- A few things on my github repository
- Orbital integration code, used in Close encounters of the stellar kind
- ctsmod: a Bayesian method for modelling time series
- artmod, a Bayesian time series analysis method for time-of-arrival data. Used in the impact crater modelling project
- Aeneas (formerly "q method"), a Bayesian method for estimating stellar parameters and line-of-sight interstellar extinction using photometry/spectra, apparent magnitude, parallax and the HRD
- ILIUM. A forward-model based algorithm for estimating parameters from multivariate data
- PanDiSC and PanSteP: classifier and stellar parametrizer for Pan-STARRS
- statnet: a feedforward interpolation neural network
- dynet: a recurrent neural network for dynamic process modelling
- photsim: a photometric simulator (simulates photon counts and noise in arbitrary filters

for a specified instrument model given a source spectral energy distribution) - HFD: Heuristic Filter Design (automatically design photometric systems

to parametrizer or isolate specified types of objects)