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SExtractor: Software for source extraction

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TLDR
The SExtractor ( Source Extractor) as mentioned in this paper is an automated software that optimally detects, deblends, measures and classifies sources from astronomical images, which is particularly suited to the analysis of large extragalactic surveys.
Abstract
We present the automated techniques we have developed for new software that optimally detects, deblends, measures and classifies sources from astronomical images: SExtractor ( Source Extractor  ). We show that a very reliable star/galaxy separation can be achieved on most images using a neural network trained with simulated images. Salient features of SExtractor include its ability to work on very large images, with minimal human intervention, and to deal with a wide variety of object shapes and magnitudes. It is therefore particularly suited to the analysis of large extragalactic surveys.

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Weak Gravitational Lensing

TL;DR: In this article, the authors present the formalism of weak gravitational lensing and light propagation in arbitrary space-times, and discuss how weak-lensing effects can be measured.
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The Complete Light-curve Sample of Spectroscopically Confirmed SNe Ia from Pan-STARRS1 and Cosmological Constraints from the Combined Pantheon Sample

TL;DR: Scolnic et al. as discussed by the authors presented optical light curves, redshifts, and classifications for 365 spectroscopically confirmed Type Ia supernovae (SNe Ia) discovered by the Pan-STARRS1 (PS1) Medium Deep Survey.
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K-corrections and filter transformations in the ultraviolet, optical, and near infrared

TL;DR: In this article, a nonnegative matrix factorization (NVMF) approach is proposed to construct model-based template sets given a set of heterogeneous photometric and spectroscopic galaxy data.
Journal ArticleDOI

The Great Observatories Origins Deep Survey: Initial Results From Optical and Near-Infrared Imaging

TL;DR: The GOODS survey as mentioned in this paper is based on multi-band imaging data obtained with the Hubble Space Telescope and the Advanced Camera for Surveys (ACS) and covers roughly 320 square arcminutes in the ACS F435W, F606w, F814W, and F850LP bands.
References
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Book

Introduction To The Theory Of Neural Computation

TL;DR: This book is a detailed, logically-developed treatment that covers the theory and uses of collective computational networks, including associative memory, feed forward networks, and unsupervised learning.
Book ChapterDOI

Third Reference Catalogue of Bright Galaxies

TL;DR: In this article, a reference catalogue of bright galaxies in three volumes reflects the explosive growth of extragalactic astronomy over the last 15 years and includes all galaxies with apparent diameters larger than one arc minute, magnitudes brighter than about magnitude 15.5, and redshifts not larger than 15,000 km/sec.
Book

Neural Computing - An Introduction

TL;DR: The perceptron: a vectorial perspective The perceptron learning rule: proof Limitations of perceptrons The end of the line?
Book

Astronomical CCD observing and reduction techniques

TL;DR: In this paper, the history of large array scientific CCD imagers, noise sources and reduction processes, basic photometry techniques, introduction to differential time-series astronomical photometry using CCDs, 2D imagery, point source spectroscopy, extended object spectrophotometry, and computer systems for CCD data reduction and analysis are surveyed.
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