| Title: |
Science-Driven Optimization of the LSST Observing Strategy |
| Authors: |
Marshall, Phil; Anguita, Timo; Bianco, Federica B.; Bellm, Eric C.; Brandt, Niel; Clarkson, Will; Connolly, Andy; Gawiser, Eric; Ivezić, Željko; Jones, Lynne; Lochner, Michelle; Lund, Michael B.; Mahabal, Ashish; Nidever, David; Olsen, Knut; Ridgway, Stephen; Rhodes, Jason; Shemmer, Ohad; Trilling, David; Vivas, Kathy; Walkowicz, Lucianne; Willman, Beth; Yoachim, Peter; Anderson, Scott; Antilogus, Pierre; Angus, Ruth; Arcavi, Iair; Awan, Humna; Biswas, Rahul; Bell, Keaton J.; Bennett, David; Britt, Chris; Buzasi, Derek; Casetti-Dinescu, Dana I.; Chomiuk, Laura; Claver, Chuck; Cook, Kem; Davenport, James; Debattista, Victor; Digel, Seth; Doctor, Zoheyr; Firth, R.E.; Foley, Ryan; Fong, Wen-Fai; Galbany, Lluís; Giampapa, Mark; Gizis, John E.; Graham, Melissa L.; Grillmair, Carl; Gris, Phillipe; Haiman, Zoltan; Hartigan, Patrick; Hawley, Suzanne; Hlozek, Renée; Jha, Saurabh W.; Johns-Krull, C.; Kanbur, Shashi; Kalogera, Vassiliki; Kashyap, Vinay; Kasliwal, Vishal; Kessler, Richard; Kim, Alex; Kurczynski, Peter; Lahav, Ofer; Liu, Michael C.; Malz, Alex; Margutti, Raffaella; Matheson, Tom; Mcewen, Jason D.; Mcgehee, Peregrine; Meibom, Søren; Meyers, Josh; Monet, Dave; Neilsen, Eric; Newman, Jeffrey; O'Dowd, Matt; Peiris, Hiranya V.; Penny, Matthew T.; Peters, Christina; Poleski, Radosław; Ponder, Kara; Richards, Gordon; Rho, Jeonghee; Rubin, David; Schmidt, Samuel; Schuhmann, Robert L.; Shporer, Avi; Slater, Colin; Smith, Nathan; Soares-Santos, Marcelles; Stassun, Keivan; Strader, Jay; Strauss, Michael; Street, Rachel; Stubbs, Christopher; Sullivan, Mark; Szkody, Paula; Trimble, Virginia; Tyson, Tony; de Val-Borro, Miguel; Valenti, Stefano; Wagoner, Robert; Michael Wood-Vasey, W.; Zauderer, Bevin Ashley |
| Contributors: |
Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)); Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS); Laboratoire de Physique de Clermont (LPC); Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne 2017-2020 (UCA 2017-2020 )-Centre National de la Recherche Scientifique (CNRS); LSST |
| Source: |
https://hal.science/hal-02277846 ; 2019. |
| Publisher Information: |
CCSD |
| Publication Year: |
2019 |
| Subject Terms: |
[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]; [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] |
| Description: |
International audience ; The Large Synoptic Survey Telescope is designed to provide an unprecedented optical imaging dataset that will support investigations of our Solar System, Galaxy and Universe, across half the sky and over ten years of repeated observation. However, exactly how the LSST observations will be taken (the observing strategy or "cadence") is not yet finalized. In this dynamically-evolving community white paper, we explore how the detailed performance of the anticipated science investigations is expected to depend on small changes to the LSST observing strategy. Using realistic simulations of the LSST schedule and observation properties, we design and compute diagnostic metrics and Figures of Merit that provide quantitative evaluations of different observing strategies, analyzing their impact on a wide range of proposed science projects. This is work in progress: we are using this white paper to communicate to each other the relative merits of the observing strategy choices that could be made, in an effort to maximize the scientific value of the survey. The investigation of some science cases leads to suggestions for new strategies that could be simulated and potentially adopted. Notably, we find motivation for exploring departures from a spatially uniform annual tiling of the sky: focusing instead on different parts of the survey area in different years in a "rolling cadence" is likely to have significant benefits for a number of time domain and moving object astronomy projects. The communal assembly of a suite of quantified and homogeneously coded metrics is the vital first step towards an automated, systematic, science-based assessment of any given cadence simulation, that will enable the scheduling of the LSST to be as well-informed as possible. |
| Document Type: |
report |
| Language: |
English |
| Relation: |
info:eu-repo/semantics/altIdentifier/arxiv/1708.04058; ARXIV: 1708.04058; INSPIRE: 1616054 |
| Availability: |
https://hal.science/hal-02277846 |
| Accession Number: |
edsbas.F3B0257A |
| Database: |
BASE |