An Injection System for the CHIME/FRB Experiment

• Published in: arXiv.org
• Main Authors: Merryfield, Marcus, Tendulkar, S P, Shin, Kaitlyn, Andersen, Bridget C, Josephy, Alexander, Good, Deborah C, Fengqiu Adam Dong, Masui, Kiyoshi W, Lang, Dustin, Münchmeyer, Moritz, Brar, Charanjot, Cassanelli, Tomas, Dobbs, Matt, Fonseca, Emmanuel, Kaspi, Victoria M, Mena-Parra, Juan, Pleunis, Ziggy, Rafiei-Ravandi, Masoud, Sand, Ketan R, Scholz, Paul, Smith, Kendrick, Stairs, Ingrid H
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 28.06.2022
• Subjects: Calibration; Fluence; Machine learning; Physics - Instrumentation and Methods for Astrophysics; Population; Radio bursts; Radio frequency interference; Sensitivity; Signal to noise ratio

Dedicated surveys searching for Fast Radio Bursts (FRBs) are subject to selection effects which bias the observed population of events. Software injection systems are one method of correcting for these biases by injecting a mock population of synthetic FRBs directly into the realtime search pipeline...