We present preliminary results from a project aimed at exploring elliptical galaxies in numerical simulations within cosmological context to provide possible formation scenarios for samples of observed galaxies. We studied the integrated properties of such simulated systems in terms of mass and at redshift z=0. Some differences were found between the simulated color-magnitude diagram and observational results in the Virgo cluster.
Here we show the preliminary results of a study where there seems to be a bias effect in the size distributions of the detected low-surface brightness (LSB) galaxies in different environments. In this sense, more distant groups/clusters would lack small effective radius objects, while large systems would not found in the Local Group and nearby environments. While there may be an actual shortage of large LSB galaxies in low-density environments like the Local Group, the non-detection of small (and faint) systems at large distances is clearly a selection effect. As an example, LSB galaxies with similar sizes to those of the satellites of Andromeda in the Local Group, will be certainly missed in a visual identification at the distance of Pegasus I.
Here we show the preliminary results of a photometric study of low surface brightness objects with $mu_{g}~gtrsim~25$~mag/arcsec$^2$. These objects are present in several fields obtained with GEMINI-GMOS, in the central region of the Pegasus I group. We found that their photometric characteristics are similar to the so-called dwarf spheroidal galaxies or to the ultra low surface brightness galaxies.
Being aware of the motivation problems observed in many scientific oriented careers, we present two experiences to expose to college students to environments, methodologies and discovery techniques addressing contemporary problems. This experiences are developed in two complementary contexts: an Introductory Physics course, where we motivated to physics students to participate in research activities, and a multidisciplinary hotbed of research oriented to advanced undergraduate students of Science and Engineering (that even produced three poster presentations in international conferences). Although these are preliminary results and require additional editions to get statistical significance, we consider they are encouraging results. On both contexts we observe an increase in the students motivation to orient their careers with emphasizing on research. In this work, besides the contextualization support for these experiences, we describe six specific activities to link our students to research areas, which we believe can be replicated on similar environments in other educational institutions.
This study aims to identify the leading of inflation indicators of monetary policy in DRC. The results reveal that the most relevant inflation indicators usually come from the monetary origin than the real sector. Variance decomposition analyzes place in the foreground the rate of exchange, the money supply and the public consumption like the most relevant indicators. In order to achieve its goal of price stability and to support a strong economic growth, the intermediate objective of the Central Bank baseded on the controle of the money supply seems to be less relevant. Relates to a high level of the dollarization, the central bank will be able to adopt either the strategy of nominal anchoring of the rate of exchange, this calls the return of the fixed exchange regime or to adopt a strategy of inflation targeting is to restore the credibility of the monetary policy
This document is intended to present in detail the processing criteria and the analysis techniques used for the production of the Vulnerability Map Sanitary based on the use of public and open data sources. The paper makes use of statistical analysis techniques (MCA, PCA, etc.) and machine learning (autoencoders) for the processing and analysis of information. The final product is a map at the census track level that seeks to quantify the populations access to basic health benefits.