School of Physics and Astronomy
The physics experience
By Andrew Barlow
In my third year of my MPhys degree I was considering a career in research. Although, I first wanted to gain experience in a research setting as I previously had none. So, I applied for a summer project organised by the School of Physics and Astronomy.
I was accepted to take part in a project titled:
„Super-resolution emulation beyond the standard cosmology”
– a mouthful of a title that I knew very little about.
Continue reading “Cosmic forest photography”
Brendan Martin is currently in year 4 of the MPhys Mathematical Physics degree. He completed a Career Development Summer Project in machine learning.
I worked in the area of machine learning for particle physics. Machine Learning can be an extremely useful tool for analysing data from experiments – in classifying particles or identifying interesting event topologies, for example. Designing accurate, computationally cheap algorithms is therefore hugely important. Under the supervision of Prof Luigi Del Debbio, I investigated the relationship between the bias, variance and noise of a given data set using a deep neural network as an estimator. I gained insight into the fascinating, quickly developing field of machine learning whilst simultaneously improving my programming skills.
Continue reading “Machine Learning for particle physics”
