robostrategy: Field and Target Assignment Optimization in the Sloan Digital Sky Survey V
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arXiv
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| Autori principali: | , , , , , , , , , , , , , , |
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| Natura: | Preprint |
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2025
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| author | Blanton, Michael R. Carlberg, Joleen K. Dwelly, Tom Medan, Ilija Chojnowski, S. Drew Covey, Kevin Davis, Megan C. Donor, John Gupta, Pramod Ji, Alexander Johnson, Jennifer A. Kollmeier, Juna A. Sanchez-Gallego, Jose Sayres, Conor Zari, Eleonora |
| author_facet | Blanton, Michael R. Carlberg, Joleen K. Dwelly, Tom Medan, Ilija Chojnowski, S. Drew Covey, Kevin Davis, Megan C. Donor, John Gupta, Pramod Ji, Alexander Johnson, Jennifer A. Kollmeier, Juna A. Sanchez-Gallego, Jose Sayres, Conor Zari, Eleonora |
| contents | We present an algorithmic method for efficiently planning a long-term, large-scale multi-object spectroscopy program. The Sloan Digital Sky Survey V (SDSS-V) Focal Plane System performs multi-object spectroscopy using 500 robotic positioners to place fibers feeding optical and infrared spectrographs across a wide field. SDSS-V uses this system to observe targets throughout the year at two observatories in support of the science goals of its Milky Way Mapper and Black Hole Mapper programs. These science goals require observations of objects over time with preferred temporal spacinges (referred to as "cadences"), which can differ from object to object even in the same area of sky. robostrategy is the software we use to construct our planned observations so that they can best achieve the desired goals given the time available as a function of sky brightness and local sidereal time, and to assign fibers to targets during specific observations. We use linear programming techniques to seek optimal allocations of time under the constraints given. We present the methods and example results obtained with this software. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_21328 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | robostrategy: Field and Target Assignment Optimization in the Sloan Digital Sky Survey V Blanton, Michael R. Carlberg, Joleen K. Dwelly, Tom Medan, Ilija Chojnowski, S. Drew Covey, Kevin Davis, Megan C. Donor, John Gupta, Pramod Ji, Alexander Johnson, Jennifer A. Kollmeier, Juna A. Sanchez-Gallego, Jose Sayres, Conor Zari, Eleonora Instrumentation and Methods for Astrophysics We present an algorithmic method for efficiently planning a long-term, large-scale multi-object spectroscopy program. The Sloan Digital Sky Survey V (SDSS-V) Focal Plane System performs multi-object spectroscopy using 500 robotic positioners to place fibers feeding optical and infrared spectrographs across a wide field. SDSS-V uses this system to observe targets throughout the year at two observatories in support of the science goals of its Milky Way Mapper and Black Hole Mapper programs. These science goals require observations of objects over time with preferred temporal spacinges (referred to as "cadences"), which can differ from object to object even in the same area of sky. robostrategy is the software we use to construct our planned observations so that they can best achieve the desired goals given the time available as a function of sky brightness and local sidereal time, and to assign fibers to targets during specific observations. We use linear programming techniques to seek optimal allocations of time under the constraints given. We present the methods and example results obtained with this software. |
| title | robostrategy: Field and Target Assignment Optimization in the Sloan Digital Sky Survey V |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2505.21328 |