A5102840002- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Astronomy and Astrophysical Research
- Astronomical Observations and Instrumentation
- Environmental Monitoring and Data Management
- Gamma-ray bursts and supernovae
- Stellar, planetary, and galactic studies
- Adaptive optics and wavefront sensing
- Research Data Management Practices
- Big Data and Business Intelligence
- Advanced Measurement and Metrology Techniques
- Advanced Data Storage Technologies
- Power Systems and Technologies
- Advanced Computational Techniques and Applications
- Astrophysics and Cosmic Phenomena
- Software System Performance and Reliability
- Species Distribution and Climate Change
- Service-Oriented Architecture and Web Services
- Simulation Techniques and Applications
- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Software Engineering and Design Patterns
- Particle Detector Development and Performance
- Mobile Agent-Based Network Management
- Advanced optical system design
Institut für Palliative Care
2023
California Institute of Technology
2000-2022
Infrared Processing and Analysis Center
2019-2022
Vera C. Rubin Observatory
2022
Large Synoptic Survey Telescope Corporation
2015
SLAC National Accelerator Laboratory
2014
(Abridged) We describe here the most ambitious survey currently planned in optical, Large Synoptic Survey Telescope (LSST). A vast array of science will be enabled by a single wide-deep-fast sky survey, and LSST have unique capability faint time domain. The design is driven four main themes: probing dark energy matter, taking an inventory Solar System, exploring transient optical sky, mapping Milky Way. wide-field ground-based system sited at Cerro Pach\'{o}n northern Chile. telescope 8.4 m...
A survey that can cover the sky in optical bands over wide fields to faint magnitudes with a fast cadence will enable many of exciting science opportunities next decade. The Large Synoptic Survey Telescope (LSST) have an effective aperture 6.7 meters and imaging camera field view 9.6 deg^2, be devoted ten-year 20,000 deg^2 south +15 deg. Each pointing imaged 2000 times fifteen second exposures six broad from 0.35 1.1 microns, total point-source depth r~27.5. LSST Science Book describes basic...
The Large Synoptic Survey Telescope (LSST) is a large-aperture, wide-field, ground-based survey system that will image the sky in six optical bands from 320 to 1050 nm, uniformly covering approximately $18,000$deg$^2$ of over 800 times. LSST currently under construction on Cerro Pachón Chile, and expected enter operations 2022. Once operational, explore wide range astrophysical questions, discovering "killer" asteroids examining nature Dark Energy. generate average 15 TB data per night,...
The Rubin Observatory's Data Butler is designed to allow data file location and formats be abstracted away from the people writing science pipeline algorithms. works in conjunction with workflow graph builder pipelines constructed algorithmic tasks. These can executed at scale using object stores multi-node clusters, or on a laptop local system. system are now daily use during construction early operations.
Near-future astronomical survey experiments, such as LSST, possess system requirements of unprecedented fidelity 1 that span photometry, astrometry and shape transfer.Some these flow directly to the array science imaging sensors at focal plane.Availability high quality characterization data acquired in course our sensor development program has given us an opportunity develop test a framework for simulation modeling is based on limited set physical geometric effects.In this paper we describe...
The Large Synoptic Survey Telescope (LSST) will be an 8.4m optical survey telescope sited in Chile and capable of imaging the entire sky twice a week. data rate approximately 15TB per night requirements to both issue alerts on transient sources within 60 seconds observing create annual releases means that automated management systems processing pipelines are key deliverable LSST construction project. software has been development since 2004 is based C++ core with Python control layer....
Construction of the Large Synoptic Survey Telescope system involves several different organizations, a situation that poses many challenges at time software integration components. To ensure commonality for purposes usability, maintainability, and robustness, LSST teams have agreed to following components: summary state machine, manner managing settings, flexible solution specify controller/controllee relationships reliably as needed, paradigm responding communicating alarms. This paper...
The Large Synoptic Survey Telescope (LSST) is an 8-meter class wide-field telescope now under construction on Cerro Pachon, near La Serena, Chile. This ground-based designed to conduct a decade-long time domain survey of the optical sky. In order achieve LSST scientific goals, requires delivering seeing limited image quality over 3.5 degree field-of-view. Like many telescopes, will use Active Optics System (AOS) correct in real-time system aberrations primarily introduced by gravity and...
The Data Management team of the Vera C. Rubin Observatory has developed a data description language and toolset, Felis, for defining semantics metadata its public-facing catalogs. Felis uses rich Pydantic model describing validating catalog metadata, expressed as human-readable editable YAML format. also provides Python library command line interface working with these models. is used to populate TAP_SCHEMA tables IVOA TAP services utilized by Science Platform (RSP). Felis's current...
The IVOA Simple Image Access version 2 protocol defines an easy way to provide community access a collection of data. At the Vera C. Rubin Observatory we currently enable ObsTAP our data holdings via ObsCore export or view Data Butler repositories. This approach comes with some deployment constraints, such as requiring pgsphere and compatibility CADC TAP implementation, so recently decided see whether could instead SIAv2 service that talks directly Butler. Here describe motivation,...
At IPAC/Caltech, we have developed the Firefly web archive and visualization system. Used in production for last eight years many missions, gives scientist significant capabilities to study data. provided first completely based FITS viewer as well a growing set of tabular plotting visualizers. Further, it will be used science user interface LSST telescope which goes online 2021. must meet needs access 2021 serve astronomers beyond year 2030. Recently, our team has faced fact that technology...
The BABAR experiment is the particle detector at new PEP-II "B factory" facility Stanford Linear Accelerator Center. experiment's goal detailed study of fundamental phenomenon charge-parity symmetry breaking in B meson decays. Within detector's online system, Online Event Processing subsystem (OEP) provides for near real-time processing data delivered from acquisition system's event builder. It supports four principal tasks: final "Level 3" software trigger, rapid-feedback fast quality...
The Rubin Observatory's Data Butler is designed to allow data file location and formats be abstracted away from the people writing science pipeline algorithms. works in conjunction with workflow graph builder pipelines constructed algorithmic tasks. These can executed at scale using object stores multi-node clusters, or on a laptop local system. system are now daily use during construction early operations.
Starting from a description of the Rubin Observatory Data Management System Architecture, and drawing on our experience with involvement in range other projects including Gaia, SDSS, UKIRT, JCMT, we derive series generic design patterns lessons learned.
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 part of pre-Operations Data Preview program.
We present the Rubin Observatory system for data storage/retrieval and pipelined code execution. The layer storage retrieval is named Butler. It consists of a relational database, known as registry, to keep track metadata relations, manage where located, datastore. Together these systems create an abstraction that science algorithms can be written against. This manages complexities large volumes expected allows independently, yet tied together automatically into coherent processing pipeline....
The astronomical community is grappling with the increasing volume and complexity of data produced by modern telescopes, due to difficulties in reducing, accessing, analyzing, combining archives data. To address this challenge, we propose establishment a coordinating body, an "entity," specific mission enhancing interoperability, archiving, distribution, production both software. This report culmination workshop held February 2023 on Future Astronomical Data Infrastructure. Attended 70...