Conveners
Session 3
- Helmut Wolters (LIP)
Why should PhD students in particle physics, astrophysics and cosmology worry about the current and future challenges of distributed computing? Should not we all focus on core scientific problems, and then let others deal with how to find, provision and exploit the technologies that are required? This talk will show how that was not the case in the past and will likely not be the case also for...
Dust grains are key ingredients in understanding the interstellar medium (ISM) and the largests effect of dust on astronomical observations: the extinction of light in the line of sight and the wavelength dependent reddening it causes, both affecting distance measurements for cosmology when using extragalactic sources such as supernovae. Size, shape and distribution of the dust grains may also...
As machine-learning and deep-learning techniques become more and more ingrained in academic research tasks, two problems that researchers invariably face are:
1) How to train and apply models in a timely manner without sacrificing performance;
2) And how to do so with only a limited hardware-budget.
In my recent [paper][1] [1], I explore how recent techniques for neural network training...
In the High-Luminosity phase of the LHC physics program, the accelerator will provide an additional integrated luminosity of 3000 fb-1. One of the main challenges that must be overcome is the very high pileup (PU) originated by the high luminosity.
Each of the colliding beams at the LHC consists of many intense bunches of protons. At the HL-LHC, the average number of interactions in a...
