PISCIS: Platform for Interactive Search and Citizen Science

I. DAZA; I.G. ALFARO; J.A. BENAVIDES; M.V. SANTUCHO; M. LARES; JUAN B. CABRAL

Conferencia; Reunión Anual 62 de la Reunión Anual de la Asociación Argentina de Astronomía; 2020

Asociación Argentina de Astronomía

Many topics in modern astronomy are characterized by the identification of features on images. While this is an easy task for a trained eye, it is difficult to carry out through models or numerical methods. Here we present a tool that eases the process of generating value added catalogs from data comprising a set of images. This is made through a citizen science web platform (PISCIS, Platform for Interactive Search and CItizen Science), built on Django, a free python framework for web development. We present a report on the experience and early results of PISCIS implemented on an observational catalogue of galaxy pairs, aimed at classifying the type of interactions. With this dataset, we analyze several stability and reproducibility metrics of the platform and discuss its potential application to problems strongly based on image classification tasks.