Scientific rationale:

The low-surface-brightness (LSB) Universe has become the last frontier in astronomical deep imaging. Recent developments have allowed us to explore extremely faint astronomical features reaching 31-32 mag/arcsec2 (i.e., 10,000 times fainter than the darkest sky on Earth). At this extreme brightness, a plethora of new astrophysical phenomena can be explored with unprecedented detail: from the Zodiacal light to stellar exospheres, from Galactic dust cirri to ultra-faint nebulae, from galactic stellar haloes to ultra-diffuse galaxies and the large scale structure of the high-redshift universe. This workshop aims to introduce each of these topics and the new developments in the field. The school has an eminently practical structure. The main focus is to provide the attendees with expertise on a series of tools for robust image processing (in particular with NoiseChisel/Gnuastro). Very importantly, we will put special emphasis on the reproducibility of the outcomes of the analysis through a reproducible project management. This is absolutely key in the era of big data, where the complexity of the required analysis can no longer be adequately described in a traditional paper format. The participants will be tutored on reducing and using data from the Iranian National Observatory's Lens Array (INOLA), as a complete project: conducting an LSB-motivated astronomical image analysis, within an award-winning data management plan, and writing a paper/report for the results of the analysis.

Registration fee: 3.500.000 IRR

Deadline for registration: 25 February, 2020/ 6 Esfand, 1398


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