Using spectral data from the SAMI Integral Field Spectrograph and full spectral fitting techniques, we obtain and study the stellar population properties of a sample of dwarf galaxies in the Fornax Cluster. Our analysis focuses on the relation of stellar populations properties with the environment and internal properties of dwarfs. We covered the

It is very common in astrophysics that certain relevant parameters of the objects studied cannot be obtained directly from observations, but require numerical models that simulate the relevant physical mechanisms, often through an iterative process of trial and error. This is often lengthy and consumes a large part of the human and material

The ``Proyecto Educativo con Telescopios Robóticos'' (PETeR) of the Instituto de Astrofísica de Canarias is an online inquiry-based laboratory that allows school students to carry out their own observations and research projects in astronomy using professional robotic telescopes. The availability of observing time on several telescopes, which also

http://research.iac.es/proyecto/emir/ {EMIR} is one of the first common user instruments for the GTC, the 10 meter telescope operating at the Roque de los Muchachos Observatory (La Palma, Canary Islands, Spain). EMIR has been built by a Consortium of Spanish and French institutes led by the Instituto de Astrofísica de Canarias (IAC). The instrument

The superb depth of present ultradeep observations and next generation synoptic surveys allow us to reach sudden decrements of the galaxy surface brightness in their outer parts. These truncations are intimately linked with the expected location of the cold gas density threshold for star formation. The unexpected existence of these limits in the

The discovery potential from astronomical and other data is limited by their noise. We introduce a novel non-parametric noise reduction technique based on Bayesian inference, \fabada, that automatically improves the signal-to-noise ratio of one- and two-dimensional data, such as astronomical images and spectra. The algorithm iteratively evaluates