TRIM Simulations Tool for $\mu^+$ Stopping Fraction in Hydrostatic Pressure Cells
Frank Elson, Debarchan Das, Gediminas Simutis, Ola Kenji Forslund,, Ugne Miniotaite, Rasmus Palm, Yasmine Sassa, Jonas Weissenrieder, and Martin, M\r{a}nsson

TL;DR
This paper introduces a user-friendly simulation tool based on TRIM simulations to estimate muon stopping fractions in pressure cells for $$SR experiments, aiding experimental planning and data analysis.
Contribution
It presents a practical GUI tool utilizing pySRIM and TRIM simulations to accurately estimate muon stopping fractions in pressure cell setups for $$SR experiments, addressing background signal issues.
Findings
The tool effectively predicts muon stopping distributions in pressure cells and samples.
It helps optimize experimental parameters to reduce background signals.
The GUI makes the simulation accessible for experimental planning.
Abstract
For quantum systems or materials, a common procedure for probing their behaviour is to tune electronic/magnetic properties using external parameters, e.g. temperature, magnetic field or pressure. Pressure application as an external stimuli is a widely used tool, where the sample in question is inserted into a pressure cell providing a hydrostatic pressure condition. Such device causes some practical problems when using in Muon Spin Rotation/Relaxation (SR) experiments as a large proportion of the muons will be implanted in the pressure cell rather than in the sample, resulting in a higher background signal. This issue gets further amplified when the temperature dependent response from the sample is much smaller than that of the pressure cell,which may cause the sample response to be lost in the background and cause difficulties in aligning the sample within the beam. To tackle…
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Taxonomy
TopicsMuon and positron interactions and applications · Neutrino Physics Research · Particle accelerators and beam dynamics
