The MUSE Hubble Ultra Deep Field Survey-IV. Global properties of C III] emitters
MV Maseda, J Brinchmann, M Franx, R Bacon… - Astronomy & …, 2017 - aanda.org
The C III] λλ1907, 1909 emission doublet has been proposed as an alternative to Lyman-α in
redshift confirmations of galaxies at z≳ 6 since it is not attenuated by the largely neutral …
redshift confirmations of galaxies at z≳ 6 since it is not attenuated by the largely neutral …
LSDCat: Detection and cataloguing of emission-line sources in integral-field spectroscopy datacubes
EC Herenz, L Wisotzki - Astronomy & Astrophysics, 2017 - aanda.org
We present a robust, efficient, and user-friendly algorithm for detecting faint emission-line
sources in large integral-field spectroscopic datacubes together with the public release of …
sources in large integral-field spectroscopic datacubes together with the public release of …
MUSE Spectroscopic Identifications of Ultra-faint Emission Line Galaxies with MUV∼− 15
MV Maseda, R Bacon, M Franx… - The Astrophysical …, 2018 - iopscience.iop.org
Using an ultra-deep blind survey with the MUSE integral field spectrograph on the European
Southern Observatory Very Large Telescope, we obtain spectroscopic redshifts to a depth …
Southern Observatory Very Large Telescope, we obtain spectroscopic redshifts to a depth …
Does deblurring improve geometrical hyperspectral unmixing?
In this paper, we consider hyperspectral unmixing problems where the observed images are
blurred during the acquisition process, eg, in microscopy and spectroscopy. We derive a …
blurred during the acquisition process, eg, in microscopy and spectroscopy. We derive a …
Nonlinear deconvolution of hyperspectral data with MCMC for studying the kinematics of galaxies
E Villeneuve, H Carfantan - IEEE Transactions on Image …, 2014 - ieeexplore.ieee.org
Hyperspectral imaging has been an area of active research in image processing and
analysis for more than 10 years, mainly for remote sensing applications. Astronomical …
analysis for more than 10 years, mainly for remote sensing applications. Astronomical …
SELFI: an object-based, Bayesian method for faint emission line source detection in MUSE deep field data cubes
C Meillier, F Chatelain, O Michel, R Bacon… - Astronomy & …, 2016 - aanda.org
We present SELFI, the Source Emission Line FInder, a new Bayesian method optimized for
detection of faint galaxies in Multi Unit Spectroscopic Explorer (MUSE) deep fields. MUSE is …
detection of faint galaxies in Multi Unit Spectroscopic Explorer (MUSE) deep fields. MUSE is …
Revisiting the emission line source detection problem in integral field spectroscopic data
EC Herenz - Astronomische Nachrichten, 2023 - Wiley Online Library
We present a 3‐dimensional matched filtering approach for the blind search of faint
emission‐line sources in integral‐field spectroscopic datasets. The filter is designed to …
emission‐line sources in integral‐field spectroscopic datasets. The filter is designed to …
Nonparametric Bayesian extraction of object configurations in massive data
C Meillier, F Chatelain, O Michel… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This study presents an unsupervised method for detection of configurations of objects based
on a point process in a nonparametric Bayesian framework. This is of interest as the model …
on a point process in a nonparametric Bayesian framework. This is of interest as the model …
Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data
We propose a method aimed at detecting weak, sparse signals in highly noisy three-
dimensional (3D) data. 3D data sets usually combine two spatial directions x and y (eg …
dimensional (3D) data. 3D data sets usually combine two spatial directions x and y (eg …
Minimax sparse detection based on one-class classifiers
RFR Suleiman, D Mary, A Ferrari - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
We consider the problem of detecting a target signature which is known (up to an amplitude
factor) to belong to a (possibly very) large library of signatures. Thus we know how each …
factor) to belong to a (possibly very) large library of signatures. Thus we know how each …