EPIC Memo Series
- A Roadmap for Efficient Direct Imaging with Large Radio Interferometer Arrays (Astro2020 APC White Paper - White paper submitted to Decadal Survey outlining state of direct imaging and future directions.
- Searching for Crab Giant Pulses with EPIC - First steps toward searching EPIC data for Crab Giant Pulses. Includes some sensitivity considerations and several examples of data artifacts.
- Romein Optimization - Modifications to Romein Kernel - Includes a GPU primer that gives and introduction to GPU specific terminologies; Compares Timing of original to modified romein; Commands to perform code profiling
- 1D Omniscope/EPIC Hybrid - An exploration of an Omniscope/EPIC framework. Includes math theory, description of algorithm to fit a grid to an array, and a few examples. Main punchline is that it's not as efficient as hoped.
- Cross-Correlator Module / Romein bug fix - Briefly describes the xCorr module and explains a bug-fix to enable illumination pattern > 1 in romein gridding
- FRB Detectability with EPIC - Describes the projected dispersive delay and pulse broadening for FRBs at LWA frequencies. We also have a sensitivity curve for integrations at EPIC timescales
- EPIC Data Assessment - Describes the issues dealt with while processing EPIC images offline to produce dynamic spectra or light curves for sources
- EPIC vs Beam : Data Comparison - Describes our understanding of the differences between EPIC and beam-formed data taken simultaneously. Steps to address these is also mentioned.
- EPIC Code Optimizations - Describes profiling of GPU code and various optimizations that lead to high bandwidth and full polarization capability.
- EPIC Imager Data Management - Summarizes data rates and storage requirements, and describes schemes for data transfer between imager and post-processing systems.
- Float vs Half Precision Accumulation for EPIC Images - Evaluates the uncertainies in pixel values when using half (16-bit) and float (32-bit) precision for image accumulations.
- EPIC Imaging & Source Localization Comparisons - Performs direct image comparisons between EPIC system and "Off-the-shelf" imagers such as WSClean. Also describes and characterizes outstanding problems within the python EPIC deployment.
- Searching for FRBs with EPIC - A first look at data recorded and dedispersed following CHIME-FRB alerts. No low-frequency FRBs were found.
This material is based upon work supported by the National Science Foundation under Grant Number AST-2108115 (ATI).
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.