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5–11 Jun 2022
McMaster University
America/Toronto timezone
Welcome to the 2022 CAP Congress Program website! / Bienvenue au siteweb du programme du Congrès de l'ACP 2022!

(G*) Commissioning of a linear Paul ion trap for Ba-tagging

8 Jun 2022, 11:45
15m
MDCL 1116 (McMaster University)

MDCL 1116

McMaster University

Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle) Nuclear Physics / Physique nucléaire (DNP-DPN) W1-6 Nuclei and Neutrinos (DNP) | Noyaux et neutrinos (DPN)

Speaker

Mr Hussain Rasiwala (McGill University)

Description

nEXO is a proposed 5-tonne experiment that will search for neutrinoless double-beta decay (0νββ) in liquid xenon enriched in the isotope Xe-136. Detection of such an event would significantly improve our understanding of neutrinos and potentially explain the matter-antimatter asymmetry. An observation of 0νββ would indicate the violation of the lepton number, a conserved quantity in the Standard Model, as well as demonstrate the Majorana nature of neutrinos.
The 3D event localization in a nEXO-type detector offers the potential to differentiate a double-beta decay event from environmental backgrounds by extracting some liquid xenon from the detector volume and identifying the Xe-136 double-beta decay daughter Ba-136. This is referred to as Ba-tagging, a technique being developed as a potential future upgrade to nEXO. As a part of the Canadian Ba-tagging effort, a linear Paul trap is being developed to filter, cool, and trap ions extracted from the detector volume. Ions first pass through a quadrupole mass filter, calibrated to selectively allow only ions with the correct mass-to-charge ratio. Filtered ions will be collisionally cooled using helium buffer gas and trapped in a buncher. At a later stage, barium ions will be identified using laser fluorescence spectroscopy. The quadrupole mass filter, as well as the linear Paul trap, are currently being commissioned at McGill University. Its design and results of initial testing will be presented.

Primary author

Mr Hussain Rasiwala (McGill University)

Co-authors

Thomas Brunner (McGill University) Christopher Chambers Kevin Murray Yang Lan (TRIUMF) Eamon Egan (McGill University) Mr Xiao Shang (McGill University)

Presentation materials

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