Year: 2018
Type: preprint
Abstract: The identification of non-signal events is a major hurdle to overcome for bubble chamber dark matter experiments such as PICO-60. The current practice of manually developing a discriminator function to eliminate background events is difficult when available calibration data is frequently impure and present only in small quantities. In this study, several different discriminator input/preprocessing formats and neural network architectures are applied to the task. First, they are optimized in a supervised learning context. Next, two novel semi-supervised learning algorithms are trained, and found to replicate the Acoustic Parameter (AP) discriminator previously used in PICO-60 with a mean of 97% accuracy.
Source: arXiv (Cornell University)
Authors: Matusch, B., Amole, C., Ardid, M., Arnquist, I. J., Asner, D. M., Baxter, D., Behnke, E., Bressler, M., Broerman, B., Cao, G., Chen, C. J., Chowdhury, U., Clark, K., Collar, J. I., Cooper, P. S., Coutu, C. B., Cowles, C., Crisler, M., Crowder, G., Cruz-Venegas, N. A., Dahl, C. E., Das, M., Fallows, S., Farine, J., Felis, I., Filgas, R., Girard, F., Giroux, G., Hall, J., Hardy, C., Harris, O., Hillier, T., Hoppe, E. W., Jackson, C. M., Jin, M., Klopfenstein, L., Krauss, C. B., Laurin, M., Lawson, I., Leblanc, A., Levine, I., Licciardi, C., Lippincott, W. H., Loer, B., Mamedov, F., Mitra, P., Moore, C., Nania, T., Neilson, R., Noble, A. J., Oedekerk, P., Ortega, A., Piro, M. -C., Plante, A., Podviyanuk, R., Priya, S., Robinson, A. E., Sahoo, S., Scallon, O., Seth, S., Sonnenschein, A., Starinski, N., Štekl, I., Sullivan, T., Tardif, F., Vázquez-Jáuregui, E., Walkowski, N., Weima, E., Wichoski, U., Wierman, K., Yan, Y., Zacek, V., Zhang, J.
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Awards: A SCINTILLATING XENON BUBBLE CHAMBER FOR DARK MATTER DETECTION, COUPP-500 kg: Design of a large-Mass Bubble Chamber for Dark Matter Detection, RUI: Searching for WIMP Dark Matter With Superheated Liquids, Physics Frontier Center at the Kavli Institute for Cosmological Physics: Pushing Cosmology to the Edge, Construction of the COUPP-500kg Bubble Chamber for Dark Matter Detection
OpenAlex ID: W2902466902