200 research outputs found
Testing the GRACE follow-on triple mirror assembly
We report on the successful testing of the GRACE follow-on triple mirror assembly (TMA) prototype. This component serves to route the laser beam in a proposed follow-on mission to the Gravity Recovery and Climate Explorer (GRACE) mission, containing an optical instrument for space-based distance measurement between satellites. As part of this, the TMA has to meet a set of stringent requirements on both the optical and mechanical properties. The purpose of the TMA prototype testing is to establish the feasibility of the design, materials choice and fabrication techniques. Here we report on co-alignment testing of this device to the arc second (5 μrad) level and thermal alignment stability testing to 1 μ rad {{K}-1}
The design and construction of a prototype lateral-transfer retro-reflector for inter-satellite laser ranging
ML-based Real-Time Control at the Edge: An Approach Using hls4ml
This study focuses on implementing a real-time control system for a particle
accelerator facility that performs high energy physics experiments. A critical
operating parameter in this facility is beam loss, which is the fraction of
particles deviating from the accelerated proton beam into a cascade of
secondary particles. Accelerators employ a large number of sensors to monitor
beam loss. The data from these sensors is monitored by human operators who
predict the relative contribution of different sub-systems to the beam loss.
Using this information, they engage control interventions. In this paper, we
present a controller to track this phenomenon in real-time using edge-Machine
Learning (ML) and support control with low latency and high accuracy. We
implemented this system on an Intel Arria 10 SoC. Optimizations at the
algorithm, high-level synthesis, and interface levels to improve latency and
resource usage are presented. Our design implements a neural network, which can
predict the main source of beam loss (between two possible causes) at speeds up
to 575 frames per second (fps) (average latency of 1.74 ms). The practical
deployed system is required to operate at 320 fps, with a 3ms latency
requirement, which has been met by our design successfully
Professionalism, Golf Coaching and a Master of Science Degree: A commentary
As a point of reference I congratulate Simon Jenkins on tackling the issue of professionalism in coaching. As he points out coaching is not a profession, but this does not mean that coaching would not benefit from going through a professionalization process. As things stand I find that the stimulus article unpacks some critically important issues of professionalism, broadly within the context of golf coaching. However, I am not sure enough is made of understanding what professional (golf) coaching actually is nor how the development of a professional golf coach can be facilitated by a Master of Science Degree (M.Sc.). I will focus my commentary on these two issues
- …