Kenneth Duncan

Observational Astronomer

About me

I am an extra-galactic observational astronomer currently working at the Institute for Astronomy, University of Edinburgh, where I currently hold a Marie Skłodowska-Curie Research Fellowship.

My main research interest is the early formation of galaxies and the co-evolution of black holes and galaxies at high redshifts.

I am Deputy Science Team Lead for the WEAVE-LOFAR spectroscopic survey and have a significant role in the LOFAR Surveys Key Science Project. In addition to these main roles, I also work with the Herschel Extragalactic Legacy Project and CANDELS collaborations.

Education

I completed my PhD at the University of Nottingham under the supervision of Prof. Chris Concelice, where my thesis was titled 'The Growth of the First Galaxies'. Before then, I attended the University of Durham, completing an MPhys in Physics.

Publications

The full list of my refereed first- and co-authored papers can be found on ADS through the link below.

Publications

Scientific Code

An increasing amount of my scientific code is publically available and maintained on my Github pages at dunkenj. The main code contributions of potential interest are:

SMpy A code for building, combining and generating synthetic photometry from composite stellar population models. Written entirely in Python, it is based on flexible python classes and currently integrates both the Bruzual & Charlot and BPASS stellar population models.

Pyrus A Python implementation of the galaxy pair fraction method of López-Sanjuan et al. (2015). Written in collaboration with Carl Mundy, the code performs redshift PDF analysis of close galaxy pairs to identify galaxy merger fractions.

Published Data

Duncan et al. (2014)

The 1/Vmax mass, luminosity and star-formation rate values presented in Duncan et al. (2014) - the values are presented in simple ascii catalogs and assume a Chabrier IMF.

Duncan et al. (2019a)

Photometric redshift catalogs for the LOFAR Two Metre Sky Survey (LoTSS) First Data Release, as presented in Duncan et al. (2019a)

Contact Me

Feel free to email me with any queries about my research, published results or code. I can also be contacted informally through Twitter or Github as linked below.

kdun@roe.ac.uk