Hello and welcome to my blog and personal website! My name is Giles, and I’m a researcher of particle physics and machine learning.

Posts

  • Into the world of headphone audio

    A summary of how headphones, DACs, and Amps contribute to a listening experience, and a discussion plus comparison of a few recent upgrades.

    Oct 17, 2021

  • Differentiable Programming and MODE

    Take-home messages from a recent workshop, and the role of differential optimisation in detector design.

    Sep 10, 2021

  • Into the INFERNO: parameter estimation under uncertainty - Part 5

    In this series of posts, we'll be looking at one of the most common problems in high-energy physics; that of estimating some parameter of interest. In this concluding post we'll examine one of the concerns raised in the last post about having to know the analytical effect of nuisance parameters on input features and see how we can instead approximate the effects.

    Feb 2, 2021

  • Into the INFERNO: parameter estimation under uncertainty - Part 4

    In this series of posts, we'll be looking at one of the most common problems in high-energy physics; that of estimating some parameter of interest. In this fourth post we'll apply the INFERNO method to the problem we studied last time, to see how if improves our measurement in the presence of systematic uncertainties.

    Dec 31, 2020

  • Into the INFERNO: parameter estimation under uncertainty - Part 3

    In this series of posts, we'll be looking at one of the most common problems in high-energy physics; that of estimating some parameter of interest. In this third post we'll finally start looking in to the INFERNO paper example, and showing how the typical approaches used in HEP aren't always optimal.

    Dec 18, 2020

  • Into the INFERNO: parameter estimation under uncertainty - Part 2

    In this series of posts, we'll be looking at one of the most common problems in high-energy physics; that of estimating some parameter of interest. In this second post we'll extend the framework from last time to see what happens when multiple regions of the data-space are considered.

    Dec 11, 2020

  • Into the INFERNO: parameter estimation under uncertainty - Part I

    In this series of posts, we'll be looking at one of the most common problems in high-energy physics; that of estimating some parameter of interest. In this first post we'll look at the statistical framework for making measurements, and seeing how these can be spoilt once we introduce uncertainties on other parameters in our measurement.

    Dec 4, 2020

  • Welcome

    An introduction and welcome to my new blog

    Nov 19, 2020