English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present IFS-RedEx, a spectrum and redshift extraction pipeline forintegral-field spectrographs. A key feature of the tool is a wavelet-basedspectrum cleaner. It identifies reliable spectral features, reconstructs theirshapes, and suppresses the spectrum noise. This gives the technique anadvantage over conventional methods like Gaussian filtering, which only smearsout the signal. As a result, the wavelet-based cleaning allows the quickidentification of true spectral features. We test the cleaning technique withdegraded MUSE spectra and find that it can detect spectrum peaks down to S/N =8 while reporting no fake detections. We apply IFS-RedEx to MUSE data of thestrong lensing cluster MACSJ1931.8-2635 and extract 54 spectroscopic redshifts.We identify 29 cluster members and 22 background galaxies with z >= 0.4.IFS-RedEx is open source and publicly available.

IFS-RedEx, a redshift extraction software for integral-field spectrographs: Application to MUSE data