Speaker
Description
Euclid acquires slew dark data after each observation sequence, when moving to a new field. The analysis of slew dark data can provide several valuable information, for instance for the study of transients (e.g., cosmic rays, snowballs). We developed an automatic pipeline capable of identifying and removing pixels affected by cosmic rays and grouping them into clusters. The identified clusters are then analyzed to retrieve several information (e.g., n° of pixels, total intensity, presence and distribution of saturated pixels) and to distinguish cosmic rays clusters from snowballs, whose nature is still under debate. The pipeline proved to be efficient regardless the number, size, or intensity of cosmic rays. The data collected from both slew dark and cosmic rays are stored in a ROOT file per day. We are now applying the pipeline to the slew dark data of the entire survey with the aim of producing large, robust datasets.