Matched Filters for Source Detection in the Poissonian Noise Regime

Abstract

A procedure is described for estimating an optimum kernel for the detection by convolution of signals among Poissonian noise. The technique is applied to the detection of x-ray point sources in XMM-Newton data, and is shown to yield an improvement in detection sensitivity of up to 60% over the sliding-box method used in the creation of the 1XMM catalog.

References in corpus (8)

• The European Photon Imaging Camera on XMM-Newton: The MOS Cameras
• The Chandra Deep Field-North Survey. XIII. 2 Ms Point-Source Catalogs
• Resolving the extragalactic hard X-ray background
• XMM-Newton observation of the Lockman Hole; I. The X-ray Data
• Log N - Log S Relations and Spectral Properties of Sources from the ASCA Large Sky Survey --- their Implications for the Origin of the Cosmic X-ray Background (CXB)
• Structure Detection in Low Intensity X-Ray Images
• Comparison of source detection procedures for XMM-Newton images
• The XMM-Newton Serendipitous Source Catalogue

Cited by in corpus (8)

• Background-Source Separation in astronomical images with Bayesian probability theory (I): the method
• Polarization of the WMAP Point Sources
• On the Correct Estimate of the Probability of False Detection of the Matched Filter in Weak-Signal Detection Problems
• Detection/estimation of the modulus of a vector. Application to point source detection in polarization data
• Maximum-likelihood detection of sources among Poissonian noise
• Detection of Faint Sources by the UltraViolet Imaging Telescope Onboard AstroSat Using Poisson Distribution of Background
• Matched filter in the low-number count Poisson noise regime: an efficient and effective implementation
• Observing high redshift galaxy clusters through lensing of the Ostriker-Vishniac effect