Theoretical Estimates of Integrated Sachs-Wolfe Effect Detection through EMU-ASKAP Survey with Confusion, Position Uncertainty, Shot Noise and SNR analysis

TL;DR

This paper provides theoretical estimates for detecting the Integrated Sachs-Wolfe effect using the EMU-ASKAP survey, analyzing factors like confusion, position uncertainty, shot noise, and signal-to-noise ratios.

Contribution

It introduces a comprehensive theoretical framework for ISW detection considering survey-specific noise and uncertainty factors, optimizing redshift and angular scale ranges.

Findings

Optimal redshift and 'l' ranges identified for ISW detection.

Quantitative analysis of confusion and shot noise impacts.

Signal-to-noise ratio estimates for survey configurations.

Abstract

The paper discusses ISW estimates through EMU-ASKAP survey. The main ideas this paper covers include: 1- Discussion on source distribution, confusion, position accuracy and shotnoise (with discussion focusing on SN ratios). 2- Selection of maximum redshift and maximum 'l' ranges in relation with SN ratios. Note: Complete abstract is available in the document.