Simulation of special bubble detectors for PICASSO.

Area of Science:

• Experimental Particle Physics
• Astroparticle Physics
• Dark Matter Detection

Background:

• The nature of dark matter remains one of the most significant unsolved problems in physics.
• The Standard Model of particle physics does not account for dark matter, necessitating extensions like Supersymmetry.
• The neutralino is a leading candidate particle for cold dark matter (CDM).

Purpose of the Study:

• To present the PICASSO experiment, a search for cold dark matter (CDM) using superheated droplet detectors.
• To detail the detector technology based on the phase transition of superheated freon droplets.
• To analyze the detector's response to background particles and potential CDM signals.

Main Methods:

• Utilizing superheated freon liquid droplets dispersed in a polymerised gel as the active detection material.
• Exploiting the phase transition phenomenon of droplets induced by nuclear recoils from particle interactions.
• Conducting simulations and experimental measurements at the Montreal Laboratory to understand detector response.

Main Results:

• Simulations were performed to characterize the detector's response to neutrons and alpha particles.
• Experimental data corresponding to these simulations were obtained and analyzed.
• The superheated droplet technique was validated for its potential in detecting subatomic particles, including CDM candidates.

Conclusions:

• The PICASSO project demonstrates a viable technique for detecting cold dark matter (CDM) candidates.
• The superheated droplet method offers a unique approach to particle detection based on phase transitions.
• Further development and data analysis are expected to constrain CDM properties and improve detection sensitivity.