C. E. Tull
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View article: DIM-SUM: Dynamic IMputation for Smart Utility Management
DIM-SUM: Dynamic IMputation for Smart Utility Management Open
Time series imputation models have traditionally been developed using complete datasets with artificial masking patterns to simulate missing values. However, in real-world infrastructure monitoring, practitioners often encounter datasets w…
View article: Measurement of the neutron cross section on argon between 95 and 720 MeV
Measurement of the neutron cross section on argon between 95 and 720 MeV Open
We report an extended measurement of the neutron cross section on argon in the energy range of 95-720 MeV. The measurement was obtained with a 4.3-hour exposure of the Mini-CAPTAIN detector to the WNR/LANSCE beam at LANL. Compared to an ea…
View article: Assessing data change in scientific datasets
Assessing data change in scientific datasets Open
Summary Scientific datasets are growing rapidly and becoming critical to next‐generation scientific discoveries. The validity of scientific results relies on the quality of data used and data are often subject to change, for example, due t…
View article: Optimization of Software on High Performance Computing Platforms for the LUX-ZEPLIN Dark Matter Experiment
Optimization of Software on High Performance Computing Platforms for the LUX-ZEPLIN Dark Matter Experiment Open
\nHigh Energy Physics experiments like the LUX-ZEPLIN dark matter experiment face unique challenges when running their computation on High Performance Computing resources. In this paper, we describe some strategies to optimize memory usage…
View article: LUX-ZEPLIN (LZ) Technical Design Report
LUX-ZEPLIN (LZ) Technical Design Report Open
In this Technical Design Report (TDR) we describe the LZ detector to be built at the Sanford Underground Research Facility (SURF). The LZ dark matter experiment is designed to achieve sensitivity to a WIMP-nucleon spin-independent cross se…
View article: First Measurement of the Total Neutron Cross Section on Argon between 100 and 800 MeV
First Measurement of the Total Neutron Cross Section on Argon between 100 and 800 MeV Open
We report the first measurement of the neutron cross section on argon in the energy range of 100-800 MeV. The measurement was obtained with a 4.3-h exposure of the Mini-CAPTAIN detector to the WNR/LANSCE beam at LANL. The total cross secti…
View article: CANCELLED Icecube project lbnl-internal vetting review
CANCELLED Icecube project lbnl-internal vetting review Open
Author(s): Bebek, Chris; Cornell, Earl; Keller, Rod; Klein, Spencer; Marx, Jay; Nugent, Peter; Singh, R.P.; Slater, Nancy; Tull, Craig; Zimmermann, Sergio
View article: Deep learning with raw data from Daya Bay
Deep learning with raw data from Daya Bay Open
The Daya Bay experiment uses reactor antineutrino disappearance to measure the θ13 neutrino oscillation parameter. In this proceeding, the convolutional autoencoder machine learning technique is tested against a well-understood uncorrelate…
View article: Exploring Raw HEP Data using Deep Neural Networks at NERSC
Exploring Raw HEP Data using Deep Neural Networks at NERSC Open
High Energy Physics has made use of artificial neural networks for some time. Recently, however, there has been considerable development outside the HEP community, particularly in deep neural networks for the purposes of image recognition.…
View article: Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks Open
Experiments in particle physics produce enormous quantities of data that must be analyzed and interpreted by teams of physicists. This analysis is often exploratory, where scientists are unable to enumerate the possible types of signal pri…
View article: PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures Open
Computing $k$-Nearest Neighbors (KNN) is one of the core kernels used in many\nmachine learning, data mining and scientific computing applications. Although\nkd-tree based $O(\\log n)$ algorithms have been proposed for computing KNN, due\n…
View article: Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible
Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible Open
Synchrotrons such as the Advanced Light Source (ALS) at Lawrence Berkeley National Laboratory are user facilities - they are sources of extremely bright X-ray beams, and scientists come from all over the world to perform experiments that r…
View article: Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks Open
Experiments in particle physics produce enormous quantities of data that must be analyzed and interpreted by teams of physicists. This analysis is often exploratory, where scientists are unable to enumerate the possible types of signal pri…
View article: Real-time data-intensive computing
Real-time data-intensive computing Open
Today users visit synchrotrons as sources of understanding and discovery - not as sources of just light, and not as sources of data. To achieve this, the synchrotron facilities frequently provide not just light but often the entire end sta…