no code implementations • 28 Aug 2023 • Christopher Lee
Crater mapping using neural networks and other automated methods has increased recently with automated Crater Detection Algorithms (CDAs) applied to planetary bodies throughout the solar system.
no code implementations • 11 Feb 2021 • Vincenzo Cirigliano, Kaori Fuyuto, Christopher Lee, Emanuele Mereghetti, Bin Yan
We present a comprehensive analysis of the potential sensitivity of the Electron-Ion Collider (EIC) to charged lepton flavor violation (CLFV) in the channel $ep\to \tau X$, within the model-independent framework of the Standard Model Effective Field Theory (SMEFT).
High Energy Physics - Phenomenology High Energy Physics - Experiment Nuclear Experiment Nuclear Theory
no code implementations • 23 Oct 2020 • Christopher Lee, James Hogan
The CDA uses multiple neural networks to process digital terrain model and thermal infra-red imagery to identify and locate craters across the surface of Mars.
no code implementations • 5 Aug 2020 • Adiv Paradise, Bo Lin Fan, Evelyn Macdonald, Kristen Menou, Christopher Lee
We will continue to add models to this repository in the future, including more than 1000 models in the short- to medium-term future, expanding the diversity of climates represented therein.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
1 code implementation • 16 Apr 2019 • Christopher Lee
I present an automated system for crater detection and cataloging using a digital terrain model (DTM) of Mars - In the algorithm craters are first identified as rings or disks on samples of the DTM image using a convolutional neural network with a UNET architecture, and the location and size of the features are determined using a circle matching algorithm.
Earth and Planetary Astrophysics
