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tokens: We thank the anonymous referee for his/her comments that helped to improve this work. We thank Carlton Baugh for his careful reading of the manuscript that has helped us to improve the text. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie grant agreement No 734374. This work has been supported by MINECO grants AYA2015-71825 ESP2015-66861. IEEC is partially funded by the CERCA program of the Generalitat de Catalunya. This work was also partially supported by Agencia Nacional de Promoción Científica y Tecnoóogica (PICT 2015-3098), the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET, Argentina) and the Secretaría de Ciencia y Tecnología de la Universidad Nacional de Córdoba (SeCyT-UNC, Argentina). MS has been supported by the European Union’s Horizon 2020 research and innovation programme under the Maria Skłodowska-Curie grant agreement No 754510 and National Science Centre (grant UMO-2016/23/N/ST9/02963). MM acknowledges support from the Beatriu de Pinos fellowship (2017-BP-00114). We made an extensive use of the following python libraries: http://www.numpy.org/ , http://www.scipy.org/ , https://www.astropy.org/ and http://www.matplotlib.org/ . This work has made use of CosmoHub. CosmoHub has been developed by the Port d’Informació Científica (PIC), maintained through a collaboration of the Institut de Física d’Altes Energies (IFAE) and the Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), and was partially funded by the “Plan Estatal de Investigación Científica y T’ecnica y de Innovación” program of the Spanish government. EJG and FR would like to specially thank the contribution of Darío Graña who helped to run the algorithms. Gracias por las picadas. Go team Barcelona! EJG, FR and AO thank Orion for the laughter and the good luck.