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Filtering by Tag: Students
This paper was a delight to write, with two young scientists (Jamie Heredge and Jay Archer) undertaking an incredible amount of work to generate muon events passing through a model-plastic scintillator and demonstrating that AI can recover the potential intersection of that event better than an analytic model.
Read MoreThe final paper from Shanti Krishnan’s extraordinary PhD! This work is focused on a general purpose slow control system to remotely monitor experiments with a range of sensors, in a cost-effective but still entirely reconfigurable setup that scales as your experiment does. Amazing work and one that will support others in their research efforts we hope, as the designs are all provided for further use!
Read MorePublished in the highly ranked ApJS and JOSS (as well as being available on arXiv for free) the “Probabilistic Regression Instrument for Simulating Models” package PRISM was a massive undertaking by my PhD student Ellert vd Velden. He built a brand-new open source MPI-capable Python package that can take ANY model from a user and map out the entire parameter space for regions that can explain the data.
Read MoreMy former student, and now high flying postdoctoral researcher at Leiden University, Dr Camila Correa answered one of the basic questions in galaxy formation in this paper - how does gas get to the galaxy from the larger Universe? The simple answer is, it depends. Essentially the bigger you are the more gas you can pull in, until you get to something the size of our Milky Way, when the `accretion' rate of material infalling then flattens out. This picture is complicated as the hot gas halo surrounding a galaxy is responsible for preventing new material from infalling as it shocks against the hot halo. The amount of the hot halo depends on the type of energetic events within a galaxy, be it exploding stars (supernovae) or accreting black holes (AGN). A beautiful bit of work that will inform theorists and observers for years to come!
Read MoreA lovely piece of work by my student Yuxiang Qin, and amazingly rapid turn around of a paper using the DRAGONS series of supercomputer models. The newly discovered galaxy ZF-Cosmos-20115 had some remarkably strange properties that at first glance seemed to bend the laws of galaxy formation to be so large so soon after the Big Bang. This work instead revealed that the rapid stellar mass gain, and the resulting quiescence thereafter, can be naturally explained by significant mergers of smaller objects that created the large stellar nucleus - but this large central bulge itself then inhibited future star formation. This was then tracked back in time in the DRAGONS universe to reveal that the rapidly growing black holes of the earlier universe could indeed by housed in what then becomes these strange quiescent galaxies at later times.
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