Speaker
Description
The first eROSITA All-Sky Survey (eRASS-1) yielded a wealth of galaxy clusters across the sky. With the public release of this data in February 2024, the need for tools to automate and streamline large sample analysis became imperative. We present a sample of approximately 150 galaxy clusters detected by the Dark Energy Survey’s (DES) redMaPPer algorithm, eROSITA source detection, and in XMM observations by XCS (X-ray Cluster Survey). We provide an independent measure of eROSITA X-ray temperatures obtained using the newly developed open source Python modules XGA (X-ray: Generate and Analyse) and DAXA (Democratising Archival X-ray Astronomy). These software shield the user from the wearisome interactions with various telescope specific software, thereby streamlining X-ray analysis pipelines and making the generation of advanced X-ray data products accessible to astronomers unfamiliar with X-ray analysis, as well as improving the reproducibility of results. This talk will provide an overview of these software tools, demonstrating their functionality, with a focus on the methodology of measuring galaxy cluster temperatures. Lastly we will compare XGA measured eROSITA temperatures to their XMM temperatures, with the aim to verify selection functions used in the cluster abundance cosmology pipelines within DES.
