Abstract. With the advent of very large redshift surveys, automatic redshift measurement is becoming increasingly important. This paper presents a similarity measure based cross-correlation method for the red-shift determination of quasar spectra. Cross-correlation is measured only for the redshift candidates that are determined by the emission line fea-tures of the observed spectrum. The similarity measure is defined as the weighted sum of several similarity evidences. Compared with the traditional cross-correlation based methods, our method can be used for higher redshift determination. Compared with the methods based on spectral line matching, our method is less sensitive to the quality of spec-tral line extraction. Experiment results in...
The Multi Layer Perceptron with Quasi Newton Algorithm (MLPQNA) is a machine learning method that ca...
The components that are known to physically contribute to an object’s observed redshift are reviewed...
The Multi Layer Perceptron with Quasi Newton Algorithm (MLPQNA) is a machine learning method that ca...
While spectroscopy is the standard method of measuring the redshift of luminous objects, it is a tim...
We explore whether it is possible to determine an independent measure of the distance- redshift rela...
With a recently constructed composite quasar spectrum and the chi(2) minimization technique, we desc...
With a recently constructed composite quasar spectrum and the \chi^2 minimization technique, we demo...
We apply one of the lazy learning methods, the k-nearest neighbor (kNN) algorithm, to estimate the p...
International audienceA systematic investigation of the relationship between different redshift esti...
Future cosmological surveys will require distance information for an extremely large number of galax...
We present a method to infer the redshift distribution of an arbitrary dataset based on spa-tial cro...
peer reviewedWe present a new algorithm having a time complexity of O(N log N) and designed to retri...
ABSTRACT Using synthetic Lyman-α forests from the Dark Energy Spectroscopic Instrumen...
Context. In astronomy, new approaches to process and analyze the exponentially increasing amount of ...
Abstract We present a new algorithm to estimate quasar photometric redshifts (photo-zs), by consider...
The Multi Layer Perceptron with Quasi Newton Algorithm (MLPQNA) is a machine learning method that ca...
The components that are known to physically contribute to an object’s observed redshift are reviewed...
The Multi Layer Perceptron with Quasi Newton Algorithm (MLPQNA) is a machine learning method that ca...
While spectroscopy is the standard method of measuring the redshift of luminous objects, it is a tim...
We explore whether it is possible to determine an independent measure of the distance- redshift rela...
With a recently constructed composite quasar spectrum and the chi(2) minimization technique, we desc...
With a recently constructed composite quasar spectrum and the \chi^2 minimization technique, we demo...
We apply one of the lazy learning methods, the k-nearest neighbor (kNN) algorithm, to estimate the p...
International audienceA systematic investigation of the relationship between different redshift esti...
Future cosmological surveys will require distance information for an extremely large number of galax...
We present a method to infer the redshift distribution of an arbitrary dataset based on spa-tial cro...
peer reviewedWe present a new algorithm having a time complexity of O(N log N) and designed to retri...
ABSTRACT Using synthetic Lyman-α forests from the Dark Energy Spectroscopic Instrumen...
Context. In astronomy, new approaches to process and analyze the exponentially increasing amount of ...
Abstract We present a new algorithm to estimate quasar photometric redshifts (photo-zs), by consider...
The Multi Layer Perceptron with Quasi Newton Algorithm (MLPQNA) is a machine learning method that ca...
The components that are known to physically contribute to an object’s observed redshift are reviewed...
The Multi Layer Perceptron with Quasi Newton Algorithm (MLPQNA) is a machine learning method that ca...