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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We describe an empirical, self-contained method to isolate faint, large-scaleemission in imaging data of low spatial resolution. Multi-resolution filtering(MRF) uses independent data of superior spatial resolution and point sourcedepth to create a model for all compact and high surface brightness objects inthe field. This model is convolved with an appropriate kernel and subtractedfrom the low resolution image. The halos of bright stars are removed in aseparate step and artifacts are masked. The resulting image only containsextended emission fainter than a pre-defined surface brightness limit. Themethod was developed for the Dragonfly Telephoto Array, which produces imagesthat have excellent low surface brightness sensitivity but poor spatialresolution. We demonstrate the MRF technique using Dragonfly images of asatellite of the spiral galaxy M101, the tidal debris surrounding M51, twoultra-diffuse galaxies in the Coma cluster, and the galaxy NGC5907. As part ofthe analysis we present a newly-identified very faint galaxy in the filteredDragonfly image of the M101 field. We also discuss variations of the techniquefor cases when no low resolution data are available (self-MRF and cross-MRF).The method is implemented in mrf, an open-source MIT licensed Python package.

Multi-resolution filtering: an empirical method for isolating faint, extended emission in Dragonfly data and other low resolution images