2 citations · 3 across the 4 of their papers we have counts for
4 papers
HiSAXy: A fast methodology for solar wind structure identification in millions of time series
Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +8
We present a hybridized unsupervised clustering algorithm Hisaxy as a novel way to identify frequently occurring magnetic structures embedded in the interplanetary magnetic field (…
CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena
Jasmine R. Kobayashi, Daniela Martin, Valmir P Moraes Filho +12
Labeling or classifying time series is a persistent challenge in the physical sciences, where expert annotations are scarce, costly, and often inconsistent. Yet robust labeling is…
Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures
Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +9
The solar wind consists of charged particles ejected from the Sun into interplanetary space and towards Earth. Understanding the magnetic field of the solar wind is crucial for pre…
Multi-track Displaced Vertices at B-Factories
Mason Acevedo, Albany Blackburn, Nikita Blinov +2
We propose a program at B-factories of inclusive, multi-track displaced vertex searches, which are expected to be low background and give excellent sensitivity to non-minimal hidde…