M. Weber
5 records found
1
Looking at projected future investments in the quantum computing market, the current state of the quantum technology education infrastructure and it’s foreseeable shortcoming in providing a sufficiently strong workforce to answer the industry’s expansion, it can be expected that quantum education will be pressurized to conform to big change to keep up with the industry.
The project aims to provide a solution that will help open ways to achieve maintaining the balance of education and industry that is needed within the quantum technology sector if the industry keeps expanding as it is currently. It hopes to deliver where currently is missing: an engaging way to interest our current youth in quantum technology before they reach university, in a way that motivates them to become one of the future quantum physicists that the industry will drastically need.
Currently basic aspects of quantum physics are difficult to convey to a younger generation in a compelling and engaging manner. This project aimed to introduce basic aspects of quantum physics through a science museum exhibit using cymatics, the study of visual wave phenomena. The wave-like characteristic found in both quantum physics and cymatics was the primary factor to investigate how cymatics could be used to introduce basic aspects of quantum physics to young future scientists through a science museum exhibit design. The modes of vibration in cymatics are called eigenmodes.
The final design is an exhibit design that uses these eigenmodes to simulate how quantum physicists work with their delicate and sensitive quantum systems. In the design the eigenmodes resemble the sensitivity of the qubits that these physicists work with.
Commissioning studies of the CMS hadron calorimeter have identified sporadic uncharacteristic noise and a small number of malfunctioning calorimeter channels. Algorithms have been developed to identify and address these problems in the data. The methods have been tested on cosmic ray muon data, calorimeter noise data, and single beam data collected with CMS in 2008. The noise rejection algorithms can be applied to LHC collision data at the trigger level or in the offline analysis. The application of the algorithms at the trigger level is shown to remove 90% of noise events with fake missing transverse energy above 100 GeV, which is sufficient for the CMS physics trigger operation.
@enThe CMS Hadron Calorimeter in the barrel, endcap and forward regions is fully commissioned. Cosmic ray data were taken with and without magnetic field at the surface hall and after installation in the experimental hall, hundred meters underground. Various measurements were also performed during the few days of beam in the LHC in September 2008. Calibration parameters were extracted, and the energy response of the HCAL determined from test beam data has been checked.
@enCommissioning studies of the CMS hadron calorimeter have identified sporadic uncharacteristic noise and a small number of malfunctioning calorimeter channels. Algorithms have been developed to identify and address these problems in the data. The methods have been tested on cosmic ray muon data, calorimeter noise data, and single beam data collected with CMS in 2008. The noise rejection algorithms can be applied to LHC collision data at the trigger level or in the offline analysis. The application of the algorithms at the trigger level is shown to remove 90% of noise events with fake missing transverse energy above 100 GeV, which is sufficient for the CMS physics trigger operation.
@enThe CMS Hadron Calorimeter in the barrel, endcap and forward regions is fully commissioned. Cosmic ray data were taken with and without magnetic field at the surface hall and after installation in the experimental hall, hundred meters underground. Various measurements were also performed during the few days of beam in the LHC in September 2008. Calibration parameters were extracted, and the energy response of the HCAL determined from test beam data has been checked.
@en