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

A lossy compression algorithm is presented for astronomical images thatprotects photometric integrity for detected point sources at a user-definedlevel of statistical tolerance. PHOTZIP works by modeling, smoothing, and thencompressing the astronomical background behind self-detected point sources,while completely preserving values in and around those sources. The algorithmalso guaranties a maximum absolute difference (in terms of $\sigma$) betweeneach compressed and original background pixel, allowing users to controlquality and lossiness. For present purposes, PHOTZIP has been tailored to FITSformat and is freely available over the web. PHOTOZIP has been tested over abroad range of astronomical imagery and is in routine use by the Night Sky Live(NSL) project for compression of all-sky FITS images. Compression factorsdepend on source densities, but for the canonical NSL implementation, a PHOTZIP(and subsequently GZIP or BZIP2) compressed file is typically 20% of itsuncompressed size.Comment: 10 pages, 3 figures. Accepted for publication in A

PHOTZIP: A Lossy FITS Image Compression Algorithm That Protects User-defined Levels of Photometric Integrity