Conveners
Session 1
- Ana Sofia Inacio (Laboratório de Instrumentação e Física Experimental de Partícul)
- Leon Pickard
Description
10+3 talks.
11am ET Monday Morning
SNO+ is a scintillator filled neutrino detector located 2 km underground at SNOLAB. The primary goal of the SNO+ experiment is to search for neutrino-less double beta decay (0vbb). The rarity of this phenomenon necessitates a high level of sensitivity making background analysis crucial. In this presentation I will outline the methods used to find and characterize K40 backgrounds in SNO+ – a...
The detection and study of dark matter is a major challenge in modern physics. Minimizing background noise and improving detector technologies is currently an international race among astro particle physicists. SuperCDMS’s (Super Cryogenic Dark Matter Search) strategy is to detect very low energy deposits using germanium and silicon detectors. To efficiently calibrate the detectors, Université...
Sensitive experiments often require strict regulations to ensure that the surrounding environment is clean. The goal of the project is to record environmental variables continuously over years with the use of various sensors such as a particulate counter or pressure differential sensor, to then upload the data to a server using a Raspberry Pi. Using various python submodules specific to each...
nEXO is a proposed neutrinoless double beta decay experiment currently in the design stage. nEXO is expected to reach a half-life sensitivity of approximately $10^{28}$ years, which requires ultra-low backgrounds. To achieve this, the plan is to build the detector 2 km underground at SNOLAB to reduce backgrounds from cosmic radiation, as well as use a water-Cherenkov muon veto, the focus of...
The data from current gravitational wave detectors, including Advanced LIGO and Advanced Virgo, contains a high rate of “glitches”: transient noise that can obscure true detections of gravitational wave events. I propose a novel method for identifying and characterizing these noise events by leveraging the Temporal Outlier Factor (TOF): a technique that uses higher-dimensional embedding to...
