Consejo Superior de Investigaciones Científicas   Instituto de Astrofísica de Andalucía   Excelencia Severo Ochoa   HR Excellence in Research   Presidencia española de la Unión Europea PySnacks 4: SHERLOCK: A python pipeline to explore space-based observations in the search for planets
Place: On line

SHERLOCK is an  end-to-end public pipeline that allows the users to explore the data from space-based missions such as TESS and Kepler/K2 to search for planetary candidates. It can be used to recover alerted candidates by the automatic pipelines such as the Science Processing Operations Center (SPOC) and the Quick Look Pipeline (QLP), the so-called Kepler objects of interest (KOIs) and TESS objects of interest (TOIs), and to search for candidates that remain unnoticed due to detection thresholds, lack of data exploration or poor photometric quality. To this end, SHERLOCK has six different modules to (1) acquire and prepare the light curves from their online repositories, (2) search for planetary candidates, (3) vet the interesting signals, (4) perform a statistical validation, (5) model the signals to refine their ephemerides, and (6) compute the observational windows from ground-based observatories to trigger a follow-up campaign. SHERLOCK is being used in the SPECULOOS and FATE projects and can be applied to all kinds of similar projects with ease.

This course is being organized by Cristina Rodríguez and Fran Pozuelos and it will be taught by Fran Pozuelos (IAA-CSIC). 

The workshop will be performed as follows: 

1) General presentation of SHERLOCK. Introduction about the motivation to develop this pipeline and its capabilities compared to others and some projects that use it. (~0.5h) 

2) The SHERLOCK workflow. Explanation about all the steps performed by SHERLOCK and how to vet the results to identify a detected signal as a potential planet. (~1.5h) 

3) Examples. In a hands-on session, examples of a SHERLOCK execution will be given. (~1h)

Date: 21st June 2023
URL: IAA-CSIC Severo Ochoa SKA Open Science School

SKA will be a world-leading facility and as such it aims to follow and lead best practices in scientific integrity such as those promoted by the Open Science movement. The concept of Open Science facilitates reproducibility of scientific studies by making data and methods more accessible, understandable and reusable. Furthermore, Open Science contributes to democratising information and to reducing inequalities in the access to infrastructures, hence impacting areas related to some of the United Nations Sustainable Development Goals. Open Science is rooted in SKA’s foundational principles and the reproducibility of SKA science data products is one of the Observatory metrics for scientific success. The SKA Regional Center Network (SRCNet) will play a key role enabling big scientific collaborations and it will provide the framework to implement SKA Open Science policies. The school will provide a general overview of different aspects of Open Science and how it is connected to collaborative and sharing practices that are encouraged by the SKA Observatory. This school brings an opportunity to anyone from the astronomy and the SRCNet community to have a complete and detailed view of Open Science policies, tools, as well as the ongoing activities related to Open Science at the SKAO and the SRCNet. International experts will provide a detailed and updated view on each of the school topics, and lectures as well as tutorials and hands-on sessions will facilitate our understanding from a practical point of view, encouraging questions and discussion.​​

Date: 8th to 10th of May 2023