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 present a numerical code that solves the forward and inverse problem ofthe polarized radiative transfer equation in geometrical scale under the Zeemanregime. The code is fully parallelized, making it able to easily handle largeobservational and simulated datasets. We checked the reliability of the forwardand inverse modules through different examples. In particular, we show thateven when properly inferring various physical parameters (temperature, magneticfield components, and line-of-sight velocity) in optical depth, theirreliability in height-scale depends on the accuracy with which the gas-pressureor density are known. The code is made publicly available as a tool to solvethe radiative transfer equation and perform the inverse solution treating eachpixel independently. An important feature of this code, that will be exploitedin the future, is that working in geometrical-scale allows for the directcalculation of spatial derivatives, which are usually required in order toestimate the gas pressure and/or density via the momentum equation in athree-dimensional volume, in particular the three-dimensional Lorenz force.

FIRTEZ-dz: A Forward and Inverse solver of the polarized Radiative Transfer Equation under Zeeman regime in geometrical scale