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3. Cosmogenic production of Ar37 in the context of the LUX-ZEPLIN experiment

Author

Oisin Creaner, Guilherme Pereira, Theresa Fruth, Matthew Szydagis, Henrique Araujo, Rachel Mannino, Wolfgang Lorenzon, Jelle Aalbers, Luiz De Viveiros, Athoy Nilima, Andrew Naylor, Francisco Neves, Carl Eric Dahl, Amy Cottle, Winnie Wang, Maria Elena Monzani, Sally Shaw, Michael Williams, Keith Beattie, Bjoern Penning, Jorge Morales Mendoza, and Yue Wang

Published
2022
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4. Projected sensitivity of the LUX-ZEPLIN experiment to the two-neutrino and neutrinoless double β decays of Xe134

Author

Oisin Creaner, Guilherme Pereira, Theresa Fruth, Ibles Olcina Samblas, Vitaly Kudryavtsev, Matthew Szydagis, Henrique Araujo, Rachel Mannino, Luiz De Viveiros, Paulo Brás, Athoy Nilima, Andrew Naylor, Junsong Lin, Claudio Silva, Kareem Kazkaz, Francisco Neves, Carl Eric Dahl, Amy Cottle, Winnie Wang, James Watson, Maria Elena Monzani, Sally Shaw, Michael Williams, Madan Sharma Timalsina, Bjoern Penning, and Jorge Morales Mendoza

Subjects
010308 nuclear & particles physics, 0103 physical sciences, 010306 general physics, 01 natural sciences
Published
2021
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5. Developing a Bubble Chamber Particle Discriminator Using Semi-Supervised Learning

Author

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., Carl Eric Dahl, 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., and Zhang, J.

Subjects
Physics - Instrumentation and Detectors, FOS: Physical sciences, Instrumentation and Detectors (physics.ins-det), Computational Physics (physics.comp-ph), Physics - Computational Physics
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., Comment: 27 pages, 10 figures

Published
2018
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6. Dark matter search results from the PICO-60CF3Ibubble chamber

Author

Susnata Seth, Matthieu Lafreniere, Eric Vázquez-Jáuregui, Daniel Baxter, Hugh Lippincott, Shashank Priya, Miguel Ardid, Carl Eric Dahl, Jeter Hall, David Asner, and Pitam Mitra

Subjects
010308 nuclear & particles physics, 0103 physical sciences, 010306 general physics, 01 natural sciences
Published
2016
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