A5088743981- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Neutrino Physics Research
- Astrophysics and Cosmic Phenomena
- Photocathodes and Microchannel Plates
- Gaussian Processes and Bayesian Inference
- Plasma Diagnostics and Applications
- Radiation Detection and Scintillator Technologies
- Advanced Neural Network Applications
- Galaxies: Formation, Evolution, Phenomena
- Spectroscopy and Laser Applications
- Computational Physics and Python Applications
- Radio Astronomy Observations and Technology
- Nuclear Physics and Applications
- Gas Sensing Nanomaterials and Sensors
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
- Cosmology and Gravitation Theories
- CCD and CMOS Imaging Sensors
- Quantum many-body systems
- Nuclear reactor physics and engineering
University of Hawaii System
2021-2024
University of Hawaiʻi at Mānoa
2024
University of British Columbia
2018-2019
Now that conventional weakly interacting massive particle (WIMP) dark matter searches are approaching the neutrino floor, there has been a resurgence of interest in detectors with sensitivity to nuclear recoil directions. A large-scale directional detector is attractive it would have below be capable unambiguously establishing galactic origin purported signal, and could serve dual purpose as observatory. We present first detailed analysis 1000 m$^3$-scale measuring signal at low energies....
Low-energy electron recoils are of interest in several planned and proposed future nuclear particle physics experiments. The topology directions such provide important identification kinematical constraints, experimentally accessible gaseous targets. Electron have complex trajectories, the angular resolution that can be achieved has not been well understood. We developed a method for estimating optimizing this resolution, considering contributions from both multiple scattering detection....
Abstract We present the first method to probabilistically predict 3D direction in a deep neural network model. The probabilistic predictions are modeled as heteroscedastic von Mises-Fisher distribution on sphere <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mi mathvariant="double-struck">S</mml:mi> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> </mml:math> , giving simple way quantify aleatoric uncertainty. This approach generalizes cosine...
Directional detection of nuclear recoils is broadly desirable in and particle physics. At low recoil energies, this capability may be used to confirm the cosmological origin a dark matter signal, penetrate so-called neutrino floor, or distinguish between different sources. Gas Time Projection Chambers (TPCs) can enable directional if readout granularity sufficiently high, as case when micro-pattern gaseous detectors (MPGDs) are utilized. A key challenge such identifying rejecting background...
We present the first method to probabilistically predict 3D direction in a deep neural network model. The probabilistic predictions are modeled as heteroscedastic von Mises-Fisher distribution on sphere $\mathbb{S}^2$, giving simple way quantify aleatoric uncertainty. This approach generalizes cosine distance loss which is special case of our function when uncertainty assumed be uniform across samples. develop approximations required make likelihood and gradient calculations stable. applied...
CYGNUS is a proposed global network of large-scale gas time projection chambers (TPCs) with the capability directionally detecting nuclear and electron recoils at $\gtrsim$keV energies. The primary focus so far has been detection dark matter, directional sensitivity providing means circumventing so-called neutrino fog. However, excellent background rejection electron/nuclear recoil discrimination provided by directionality could turn solar into an interesting signal in its own right. For...
Abstract Cygnus is a proposed global network of large-scale gas time projection chambers (TPCs) with the capability directionally detecting nuclear and electron recoils at $$\gtrsim $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>≳</mml:mo> </mml:math> keV energies. The primary focus so far has been detection dark matter, directional sensitivity providing means circumventing so-called “neutrino fog”. However, excellent background rejection electron/nuclear recoil...
Detecting the topology and direction of low-energy nuclear electronic recoils is broadly desirable in particle physics, with applications coherent elastic neutrino-nucleus scattering (CE$\nu$NS), astrophysical neutrino measurements, probing dark matter (DM) beneath fog, confirming galactic origin DM. Gaseous Time Projection Chambers (TPCs) offer required gain readout granularity, but must be large to achieve volume. Therefore, scalable, cost-effective TPC technologies are essential....
We find a simple model of an insulating state quantum wire which has single isolated edge mode. argue that, when brought to proximity, the modes on independent wires naturally form Bell entangled states could be used for elementary processes such as teleportation. give example algorithm teleports spin electron from one another.
In order to better analyse the polarization of cosmic microwave background (CMB), which is dominated by emission from our Galaxy, we need tools that can detect residual foregrounds in cleaned CMB maps. Galactic introduce statistical anisotropy and directionality pseudo-vectors CMB, be investigated using D statistic Bunn Scott. This rapidly computable capable investigating a broad range data products for directionality. We demonstrate application this detecting maps analysing uncleaned Planck...