Publications (11)
NSF-DOE Vera C. Rubin Observatory Observations of Interstellar Comet 3I/ATLAS (C/2025 N1)
Colin Orion Chandler, Pedro H. Bernardinelli, Mario JuriÄ +305
We report on the observation and measurement of astrometry, photometry, morphology, and activityof the interstellar object 3I/ATLAS, also designated C/2025 N1 (ATLAS) with the NSF-…
Abstracting the storage and retrieval of image data at the LSST
Tim Jenness, James F. Bosch, Pim Schellart +3
Writing generic data processing pipelines requires that the algorithmic code does not ever have to know about data formats of files, or the locations of those files. At LSST we hav…
The Vera C. Rubin Observatory Data Butler and Pipeline Execution System
Tim Jenness, James F. Bosch, Nate B. Lust +6
The Rubin Observatory's Data Butler is designed to allow data file location and file formats to be abstracted away from the people writing the science pipeline algorithms. The Butl…
Rubin Science Platform on Google: the story so far
William O'Mullane, Frossie Economou, Flora Huang +16
We describe Rubin Observatory's experience with offering a data access facility (and associated services including our Science Platform) deployed on Google Cloud infrastructure as…
The Vera C. Rubin Observatory Data Preview 1
Vera C Rubin Observatory Team, Tatiana Acero Cuellar, Emily Acosta +325
We present Rubin Data Preview 1 DP1, the first data from the NSF DOE Vera C Rubin Observatory, comprising raw and calibrated single epoch images, coadds, difference images, detecti…
Data management and execution systems for the Rubin Observatory Science Pipelines
Nate B. Lust, Tim Jenness, James F. Bosch +7
We present the Rubin Observatory system for data storage/retrieval and pipelined code execution. The layer for data storage and retrieval is named the Butler. It consists of a rela…
Adding Workflow Management Flexibility to LSST Pipelines Execution
Michelle Gower, Mikolaj Kowalik, Nate B. Lust +2
Data processing pipelines need to be executed at scales ranging from small runs up through large production data release runs resulting in millions of data products. As part of the…
Integrating the PanDA Workload Management System with the Vera C. Rubin Observatory
Edward Karavakis, Wen Guan, Zhaoyu Yang +16
The Vera C. Rubin Observatory will produce an unprecedented astronomical data set for studies of the deep and dynamic universe. Its Legacy Survey of Space and Time (LSST) will imag…
The Dark Energy Survey Data Processing and Calibration System
Joseph J. Mohr, Robert Armstrong, Emmanuel Bertin +15
The Dark Energy Survey (DES) is a 5000 deg2 grizY survey reaching characteristic photometric depths of 24th magnitude (10 sigma) and enabling accurate photometry and morphology of…
The Dark Energy Survey Data Management System
Joseph J. Mohr, Wayne Barkhouse, Cristina Beldica +17
The Dark Energy Survey collaboration will study cosmic acceleration with a 5000 deg2 griZY survey in the southern sky over 525 nights from 2011-2016. The DES data management (DESDM…
The Dark Energy Survey Data Management System: The Processing Framework
Michelle Gower, Joseph J. Mohr, Darren Adams +16
The Dark Energy Survey Data Management (DESDM) system will process and archive the data from the Dark Energy Survey (DES) over the five year period of operation. This paper focuses…