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Full-Text Articles in Physics
Steady-State Method To Measure The In-Plane Thermal Conductivity Of Thin Sheet Materials, Evgeny Pakhomenko, Andrew James Wildridge, Abraham Mathew Koshy, Souvik Das, Andreas Jung
Steady-State Method To Measure The In-Plane Thermal Conductivity Of Thin Sheet Materials, Evgeny Pakhomenko, Andrew James Wildridge, Abraham Mathew Koshy, Souvik Das, Andreas Jung
The Summer Undergraduate Research Fellowship (SURF) Symposium
A new generation of silicon pixel detectors is required to cope with the unprecedented luminosities at the high-luminosity phase of the Large Hadron Collider (HL-LHC) in 2025. The HL-LHC provides a high radiation, high interaction rate environment for the innermost detector region of the CMS detector. This can lead to an uncontrolled increase in temperature of the detector that can destroy the silicon pixels. Moreover, too high operating temperature can add noise to the data obtained from the detector and can slow the read out cheap down. Therefore, the Phase II upgrade to the Compact Muon Solenoid (CMS) experiment requires …
Thermomechanical Properties Of Aluminium Heaters To Test The Compact Muon Solenoid Cooling System For Phase Two Upgrade, Sandra Jimena González, Timothy Matthew Jones
Thermomechanical Properties Of Aluminium Heaters To Test The Compact Muon Solenoid Cooling System For Phase Two Upgrade, Sandra Jimena González, Timothy Matthew Jones
The Summer Undergraduate Research Fellowship (SURF) Symposium
The main objectives of the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider are precision studies of the Standard Model of Particle Physics and the discovery of physics beyond it. To meet that, it is essential for the CMS detector to function at the highest efficiency for detecting subatomic particles within various technical constraints. In particular, the readout chips of the Pixel Tracker sub-detector produce significant heat and must be kept at -10 °C to ensure optimal performance and reduce cumulative damage in the high radiation environment. Thus, it is necessary to design a cooling system to extract …
Machine Learning In Xenon1t Analysis, Dillon A. Davis, Rafael F. Lang, Darryl P. Masson
Machine Learning In Xenon1t Analysis, Dillon A. Davis, Rafael F. Lang, Darryl P. Masson
The Summer Undergraduate Research Fellowship (SURF) Symposium
In process of analyzing large amounts of quantitative data, it can be quite time consuming and challenging to uncover populations of interest contained amongst the background data. Therefore, the ability to partially automate the process while gaining additional insight into the interdependencies of key parameters via machine learning seems quite appealing. As of now, the primary means of reviewing the data is by manually plotting data in different parameter spaces to recognize key features, which is slow and error prone. In this experiment, many well-known machine learning algorithms were applied to a dataset to attempt to semi-automatically identify known populations, …