ScotDIST annual research conference 2019
101
8 University Gardens, U of Glasgow
The second annual ScotDIST research conference will be hosted by the School of Physics and Astronomy, University of Glasgow, on Friday 15 November 2019 with arrivals from 10.30am for an 11am start.
This event is a celebration of the diverse physics, data science, and industrial-placement work by the network's students and staff through the last year. All supported students and supervisors are asked to attend, and students are expected to give a short informal talk on their research or placement activity.
In addition, we are assembling a programme of industry speakers and AI experts to underpin the commercial and data-science fundamentals aspects of the CDT, and a session where you can interrogate the CDT management about anything you want! Lunch and refreshments will be provided.
The conference will take place in Room 101 of 8 University Gardens, on the UofG main (Gilmorehill) campus; see here for a map.
Please register via the link below so we can plan the programme and catering. Please contact andy.buckley@gla.ac.uk if you have any queries.
-
-
10:15
→
11:00
Arrival and coffee 45m
-
11:00
→
12:00
Talks: Student presentations¶
-
11:00
Speaker: John Armstrong (University of Glasgow)
-
11:10
The main focus of my research work - search for the doubly charmed baryon Xicc+ in two different decay channels using data recorded by the LHCb experiment, will be discussed.
Speakers: Dana Bobulska (University of Glasgow), Dana Seman Bobulska (University of Glasgow (GB)) -
11:20
Nuclear physics, through computational models, provides the opportunity to constrain astronomy. Little is known about the oldest stars, but through observations of there successors and nucleosynthetic models, we can begin to predict the conditions they produced and their properties.
Speaker: Samuel Lloyd (University of Edinburgh) -
11:30
I will discuss my first industry placement which took place over the summer at the Heineken UK HQ in Edinburgh. A brief insight will be given into working in industry. (It's not all about Beer!)
Speaker: Teri Love (University of St Andrews) -
11:40
The angular distribution of energy from gamma-ray bursts is unknown, but it is believed their could be a common structure among all these astrophysical events. I combine gravitational wave and electromagnetic data to perform model comparison between different existing jet structure models and infer model parameters. I also perform a non-parametric approach to determine the structure using Gaussian processes.
Speaker: Fergus John Hayes -
11:50
Speaker: Marios Kalomenopoulos (University of Edinburgh)
-
11:00
-
12:00
→
12:30
-
12:30
→
13:30
Lunch 1h
-
13:30
→
14:30
Talks: Student presentations¶
-
13:30
I will discuss my time with Craft Prospect giving details on some of the work completed and my personal experience from the placement.
Speaker: Gennaro Di Pietro (University of Edinburgh) -
13:40
In addition to more classic parameter estimation techniques, MCMC techniques can be implemented to compliment these methods as a further analysis tool. These tools become especially useful when the dimensionality of parameter spaces become high, as is the case with the three pion production channel that will be a focus of this analysis.
Speaker: Robert Wishart (University of Glasgow) -
13:50
Speaker: Abhijeet Gangan (University of Glasgow)
-
14:00
Speaker: Adam Thornton (University of Edinburgh)
-
14:10
Gravitational wave detection is now commonplace and as the sensitivity of the global network of GW detectors improves, we will observe O(100)s of transient GW events per year. The current methods used to estimate their source parameters employ optimally sensitive but computationally costly Bayesian inference approaches where typical analyses have taken between 6 hours and 5 days. Here we show that a conditional variational autoencoder pre-trained on binary black hole signals can return Bayesian posterior probability estimates 6 orders of magnitude faster than existing techniques.
Speaker: Hunter Gabbard (University of Glasgow) -
14:20
Speaker: Esther Pertinez (University of Glasgow)
-
13:30
-
14:30
→
15:00
The Science of Bad Data
-
15:00
→
15:30
Talks: Student presentations¶
-
15:00
Speaker: Laurence Datrier (University of Glasgow)
-
15:10
One of the most striking features of turbulent fluid flows is their seemingly random and unpredictable nature. However, since such fluids are described by the Navier-Stokes equations, which are entirely deterministic in nature, their motion cannot be truly random. In reality, turbulent flows exhibit what is commonly referred to as deterministic chaos. The time evolution of such systems is characterized by an extreme sensitivity to initial conditions which has profound consequences for their predictability.
Speaker: Daniel Clark (University of Edinburgh) -
15:20
Speakers: Stephen Brown (University of Glasgow), Stephen Brown (University of Glasgow), Stephen Brown (University of Glasgow)
-
15:00
-
15:30
→
16:00
Coffee break 30m
-
16:00
→
17:00
-
17:00
→
17:30
Leave / Voyage to pubs on Byres Road 30m
-
10:15
→
11:00