Mr. Brian M. Selvy Profile

Brian M. Selvy

Project Manager at NOIRLab

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Systems Engineering , Risk Management

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Publications (9)

SPIE Journal Paper | 25 April 2022

Systems engineering processes and tools for requirements management at the Extremely Large Telescopes

Kayla Hardie, Amanda Santana, Andrew Serio, Juan C. González Herrera, Bart Fordham, Brian Walls, Brian Selvy, Dominik Schneller

JATIS, Vol. 8, Issue 02, 021507, (April 2022) https://doi.org/10.1117/12.10.1117/1.JATIS.8.2.021507

KEYWORDS: Systems engineering, Process engineering, Observatories, Mirrors, Astronomy, Thirty Meter Telescope, Large telescopes, Telescopes, Databases, Optical instrument design

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Proceedings Article | 10 July 2018 Presentation

An overview of the LSST system integration and commission plan (Conference Presentation)

Charles Claver, Kevin Reil, Keith Bechtol, Andrew Connolly, Patrick Ingraham, Margaux Lopez, Michael Reuter, Brian Stalder, Brian Selvy, Christopher Stubbs, Bo Xin

Proceedings Volume 10705, 107050B (2018) https://doi.org/10.1117/12.2313526

KEYWORDS: Large Synoptic Survey Telescope, Imaging systems, System integration, Cameras, Telescopes, Observatories, Data processing, Interfaces, Control systems, Computing systems

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The Commissioning Phase of the LSST Project is the final stage in the combined NSF and DOE funded LSST construction project. The LSST commission phase is planned to start early in 2020 and be completed near the end of 2022, ending with the LSST Observatory system ready to start survey operations. Commissioning includes the assembly of the three principal subsystems (Telescope, Camera and Data Management) into the LSST Observatory System and the integration and test (AI&T) efforts as well as the science verification activities. The LSST System AI&T and Commissioning Plan is driven by a combination of engineering and scientifically oriented activities to show compliance with technical requirements and readiness to conduct science operations (acquiring data, processing data, and serving data and derived data products to users). LSST System AI&T and Commissioning will be carried out over four phases of activity: Phase-0) Pre-commissioning preparations (work breakdown structure; Phase-1) Early System AI&T with a commissioning camera (ComCam); Phase-2) Full System AI&T when the LSST Science Camera is shipped to Chile, integrated on the telescope and the data management system (DMS) is exercised with full scale data; and Phase-3) Science Validation where a series of mini-surveys are used to characterize the system with respect to the survey performance specifications in the SRD/LSR and functionality of the, leading to operations readiness. The Science Validation Phase concludes with an Operations Readiness Review (ORR). The LSST System Assembly, Integration and Test and Commissioning effort has been planned out over several phases The first phase of commissioning under Early AI&T is designed to test and verify the system level interfaces using ComCam – a 144Mpixel imager utilizing the same control components as the full science camera. During this period, the telescope active optics system will be brought into compliance with system requirements; the scheduler will be exercised and all safety checks verified for autonomous operation; and early DM algorithm testing will be performed with on-sky data from ComCam using a commissioning computing cluster at the Base Facility. The second phase of activities under Full System AI&T is designed to complete the technical integration of the three principal subsystems and EPO, show full compliance with system level requirements as detailed in the Observatory System Specifications and system level interface control documents, and provide full scale data for further DM/EPO software and algorithmic testing and development. System level requirements that flow directly to subsystems without any further derivation will be tested for compliance, at the subsystem level and below, under the supervision of Project Systems Engineering. This document includes the general approach and goals for these tests. It is expected that roughly four (4) months into the Full System AI&T phase the telescope and camera will be fully integrated and routinely producing science grade images over the full field of view (FOV), at which point “System First Light” will be declared. Following System First Light will be an intensive data acquisition period design to test the image processing pipelines and validate the derived science products that are to be delivered by the LSST survey. The third and final phase of activities under Science Validation is designed to fully characterize the system performance specifications detailed in LSST System Requirements Document and the range of demonstrated performance per the LSST Science Requirements. These activities are based on the measured “On-Sky” performance and informed simulations of the LSST system. In this paper we describe the inputs and assumptions to the commissioning plan, a summary of the activities in each phase, management strategies and expected outcomes.

Proceedings Article | 10 July 2018 Presentation + Paper

Dome seeing sensitivity analysis for LSST

Konstantinos Vogiatzis, Bo Xin, Chuck Claver, George Angeli, Brian Selvy

Proceedings Volume 10705, 1070503 (2018) https://doi.org/10.1117/12.2312852

KEYWORDS: Large Synoptic Survey Telescope, Domes, Telescopes, Thermal modeling, Image quality, Turbulence

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Proceedings Article | 10 July 2018 Paper

Monitoring LSST system performance during construction

Bo Xin, Chuck Claver, Željko Ivezić, Lynne Jones, John Peterson, Brian Selvy, Scott Daniel, Peter Yoachim

Proceedings Volume 10705, 107050P (2018) https://doi.org/10.1117/12.2313880

KEYWORDS: Large Synoptic Survey Telescope, Integrated modeling, Cameras, Systems modeling, Image quality, Point spread functions, Telescopes, Adaptive optics, Sensors, Mirrors

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Proceedings Article | 10 July 2018 Presentation + Paper

V&V planning and execution in an integrated model-based engineering environment using MagicDraw, Syndeia, and Jira

Brian Selvy, Austin Roberts, Michael Reuter, Charles (Chuck) Claver, Gabriele Comoretto, Tim Jenness, Wil O'Mullane, Andrew Serio, Rob Bovill, Jacques Sebag, Sandrine Thomas, Manas Bajaj, Dirk Zwemer, Brian Van Klaveren

Proceedings Volume 10705, 107050U (2018) https://doi.org/10.1117/12.2310125

KEYWORDS: Systems modeling, Large Synoptic Survey Telescope, Data modeling, Systems engineering, Integrated modeling, Model-based design, Safety, Telescopes

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Proceedings Article | 18 August 2016 Paper

Using model based systems engineering for the development of the Large Synoptic Survey Telescope's operational plan

Brian Selvy, Charles Claver, Beth Willman, Don Petravick, Margaret Johnson, Kevin Reil, Stuart Marshall, Sandrine Thomas, Paul Lotz, German Schumacher, Kian-Tat Lim, Tim Jenness, Suzanne Jacoby, Ben Emmons, Tim Axelrod

Proceedings Volume 9911, 99110D (2016) https://doi.org/10.1117/12.2233904

KEYWORDS: Systems modeling, Systems engineering, Large Synoptic Survey Telescope, Observatories, Connectors, Data processing, Data archive systems, Astronomy, Camera shutters, Information technology

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We† provide an overview of the Model Based Systems Engineering (MBSE) language, tool, and methodology being used in our development of the Operational Plan for Large Synoptic Survey Telescope (LSST) operations. LSST’s Systems Engineering (SE) team is using a model-based approach to operational plan development to: 1) capture the topdown stakeholders’ needs and functional allocations defining the scope, required tasks, and personnel needed for operations, and 2) capture the bottom-up operations and maintenance activities required to conduct the LSST survey across its distributed operations sites for the full ten year survey duration. To accomplish these complimentary goals and ensure that they result in self-consistent results, we have developed a holistic approach using the Sparx Enterprise Architect modeling tool and Systems Modeling Language (SysML). This approach utilizes SysML Use Cases, Actors, associated relationships, and Activity Diagrams to document and refine all of the major operations and maintenance activities that will be required to successfully operate the observatory and meet stakeholder expectations. We have developed several customized extensions of the SysML language including the creation of a custom stereotyped Use Case element with unique tagged values, as well as unique association connectors and Actor stereotypes. We demonstrate this customized MBSE methodology enables us to define: 1) the rolls each human Actor must take on to successfully carry out the activities associated with the Use Cases; 2) the skills each Actor must possess; 3) the functional allocation of all required stakeholder activities and Use Cases to organizational entities tasked with carrying them out; and 4) the organization structure required to successfully execute the operational survey. Our approach allows for continual refinement utilizing the systems engineering spiral method to expose finer levels of detail as necessary. For example, the bottom-up, Use Case-driven approach will be deployed in the future to develop the detailed work procedures required to successfully execute each operational activity.

Proceedings Article | 8 August 2016 Paper

LSST control software component design

Paul Lotz, Gregory Dubois-Felsmann, Kian-Tat Lim, Tony Johnson, Srinivasan Chandrasekharan, David Mills, Philip Daly, Germán Schumacher, Francisco Delgado, Steve Pietrowicz, Brian Selvy, Jacques Sebag, Stuart Marshall, Harini Sundararaman, Christopher Contaxis, Robert Bovill, Tim Jenness

Proceedings Volume 9913, 991309 (2016) https://doi.org/10.1117/12.2231796

KEYWORDS: Large Synoptic Survey Telescope, Control systems, Telecommunications, Telescopes, Sensors, Composites, Data acquisition, Motion controllers, Phase modulation, Calibration

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Proceedings Article | 4 August 2014 Paper

Systems engineering in the Large Synoptic Survey Telescope project: an application of model based systems engineering

C. Claver, Brian Selvy, George Angeli, Francisco Delgado, Gregory Dubois-Felsmann, Patrick Hascall, Paul Lotz, Stuart Marshall, German Schumacher, Jacques Sebag

Proceedings Volume 9150, 91500M (2014) https://doi.org/10.1117/12.2056781

KEYWORDS: Large Synoptic Survey Telescope, Systems modeling, Systems engineering, Cameras, Telescopes, Observatories, Imaging systems, Data modeling, Control systems, Optical filters

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Proceedings Article | 4 August 2014 Paper

Using SysML for verification and validation planning on the Large Synoptic Survey Telescope (LSST)

Brian Selvy, Charles Claver, George Angeli

Proceedings Volume 9150, 91500N (2014) https://doi.org/10.1117/12.2056773

KEYWORDS: Large Synoptic Survey Telescope, Image quality, Systems modeling, Cameras, Systems engineering, Imaging systems, Telescopes, Image analysis, Quality testing methods, Control systems

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Showing 5 of 9 publications

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