October 5-9, 2014

Abstract

P2.20 Analytical method using simulation data for time-series fringe data

Sumiko Kida (Waseda University)

Tai Tanaka (Mitsubishi Electric Corporation)

We report the analytical method for time-series fringe data obtained from drift scanning survey at radio. Such data form is unusual, so we need to devise the analysis method. A method to compare survey data with simulation data that are built on the basis of a source catalog and the beam pattern of a telescope was previously reported. A very weak fringe is accurately built when we simulate data from all sources listed in a source catalog. However, creating simulation data takes a long time. We verified the threshold value for which both of the following items were most efficiently reflected: 1) Relation between the threshold value of the flux included in the simulation data and the simulation precision. 2) Relation between the threshold value of the flux included in the simulation data and the build time. We report the verification result about data of 1σ ~ 200 mJy (1.4 GHz). The threshold value considered to be most suitable is 0.3σ-0.4σ. In the case of over 0.5σ, the simulation data cannot be considered accurate if the distinction between variability of noise origin and variability of radio source origin is judged by a significance level of 1% (the probability value of the chi-square distribution). Additionally, we developed a GUI that these algorithms have been implemented.

Mode of presentation: poster

Applicable ADASS XXIV theme category: Data Analysis / Pipelines