Science-Driven Optimization of the LSST Observing Strategy

Science-Driven Optimization of the LSST Observing Strategy
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DOI：
10.5281/zenodo.842713
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发表时间：
2017-08
期刊：
arXiv: Instrumentation and Methods for Astrophysics
影响因子：
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通讯作者：
Lsst Science Collaborations Phil Marshall;T. Anguita;F. Bianco;E. Bellm;N. Brandt;W. Clarkson;A. Connolly;E. Gawiser;Ž. Ivezić;L. Jones;M. Lochner;M. Lund;A. Mahabal;D. Nidever;K. Olsen;S. Ridgway;J. Rhodes;O. Shemmer;D. Trilling;K. Vivas;L. Walkowicz;B. Willman;P. Yoachim;S. Anderson;P. Antilogus;R. Angus;I. Arcavi;H. Awan;R. Biswas;K. Bell;D. Bennett;C. Britt;D. Buzasi;D. Casetti-Dinescu;L. Chomiuk;C. Claver;K. Cook;J. Davenport;V. Debattista;S. Digel;Zoheyr Doctor;R. Firth;R. Foley;W. Fong;L. Galbany;M. Giampapa;J. Gizis;M. Graham;C. Grillmair;P. Gris;Z. Haiman;P. Hartigan;S. Hawley;R. Hložek;S. Jha;C. Johns–Krull;S. Kanbur;V. Kalogera;V. Kashyap;V. Kasliwal;R. Kessler;A. Kim;P. Kurczynski;O. Lahav;Michael C. Liu;A. Malz;R. Margutti;T. Matheson;J. McEwen;P. McGehee;S. Meibom;J. Meyers;D. Monet;E. Neilsen;J. Newman;Matthew O'Dowd;H. Peiris;M. Penny;C. Peters;R. Poleski;K. Ponder;G. Richards;J. Rho;D. Rubin;S. Schmidt;R. Schuhmann;Avi Shporer;C. Slater;N. Smith;M. Soares-Santos;K. Stassun;J. Strader;Michael Strauss;R. Street;C. Stubbs;M. Sullivan;P. Szkody;V. Trimble;T. Tyson;Miguel de Val-Borro;S. Valenti;R. Wagoner;W. M. Wood-Vasey;B. Zauderer
Lsst Science Collaborations Phil Marshall;T. Anguita;F. Bianco;E. Bellm;N. Brandt;W. Clarkson;A. Connolly;E. Gawiser;Ž. Ivezić;L. Jones;M. Lochner;M. Lund;A. Mahabal;D. Nidever;K. Olsen;S. Ridgway;J. Rhodes;O. Shemmer;D. Trilling;K. Vivas;L. Walkowicz;B. Willman;P. Yoachim;S. Anderson;P. Antilogus;R. Angus;I. Arcavi;H. Awan;R. Biswas;K. Bell;D. Bennett;C. Britt;D. Buzasi;D. Casetti-Dinescu;L. Chomiuk;C. Claver;K. Cook;J. Davenport;V. Debattista;S. Digel;Zoheyr Doctor;R. Firth;R. Foley;W. Fong;L. Galbany;M. Giampapa;J. Gizis;M. Graham;C. Grillmair;P. Gris;Z. Haiman;P. Hartigan;S. Hawley;R. Hložek;S. Jha;C. Johns–Krull;S. Kanbur;V. Kalogera;V. Kashyap;V. Kasliwal;R. Kessler;A. Kim;P. Kurczynski;O. Lahav;Michael C. Liu;A. Malz;R. Margutti;T. Matheson;J. McEwen;P. McGehee;S. Meibom;J. Meyers;D. Monet;E. Neilsen;J. Newman;Matthew O'Dowd;H. Peiris;M. Penny;C. Peters;R. Poleski;K. Ponder;G. Richards;J. Rho;D. Rubin;S. Schmidt;R. Schuhmann;Avi Shporer;C. Slater;N. Smith;M. Soares-Santos;K. Stassun;J. Strader;Michael Strauss;R. Street;C. Stubbs;M. Sullivan;P. Szkody;V. Trimble;T. Tyson;Miguel de Val-Borro;S. Valenti;R. Wagoner;W. M. Wood-Vasey;B. Zauderer
中科院分区：
其他
文献类型：
--
作者：
Lsst Science Collaborations Phil Marshall;T. Anguita;F. Bianco;E. Bellm;N. Brandt;W. Clarkson;A. Connolly;E. Gawiser;Ž. Ivezić;L. Jones;M. Lochner;M. Lund;A. Mahabal;D. Nidever;K. Olsen;S. Ridgway;J. Rhodes;O. Shemmer;D. Trilling;K. Vivas;L. Walkowicz;B. Willman;P. Yoachim;S. Anderson;P. Antilogus;R. Angus;I. Arcavi;H. Awan;R. Biswas;K. Bell;D. Bennett;C. Britt;D. Buzasi;D. Casetti-Dinescu;L. Chomiuk;C. Claver;K. Cook;J. Davenport;V. Debattista;S. Digel;Zoheyr Doctor;R. Firth;R. Foley;W. Fong;L. Galbany;M. Giampapa;J. Gizis;M. Graham;C. Grillmair;P. Gris;Z. Haiman;P. Hartigan;S. Hawley;R. Hložek;S. Jha;C. Johns–Krull;S. Kanbur;V. Kalogera;V. Kashyap;V. Kasliwal;R. Kessler;A. Kim;P. Kurczynski;O. Lahav;Michael C. Liu;A. Malz;R. Margutti;T. Matheson;J. McEwen;P. McGehee;S. Meibom;J. Meyers;D. Monet;E. Neilsen;J. Newman;Matthew O'Dowd;H. Peiris;M. Penny;C. Peters;R. Poleski;K. Ponder;G. Richards;J. Rho;D. Rubin;S. Schmidt;R. Schuhmann;Avi Shporer;C. Slater;N. Smith;M. Soares-Santos;K. Stassun;J. Strader;Michael Strauss;R. Street;C. Stubbs;M. Sullivan;P. Szkody;V. Trimble;T. Tyson;Miguel de Val-Borro;S. Valenti;R. Wagoner;W. M. Wood-Vasey;B. Zauderer

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大型天文巡天望远镜旨在提供前所未有的光学成像数据集，以支持对我们的太阳系、银河系和宇宙的研究，跨越半个天空，并进行十多年的重复观测。然而，LSST观测的确切方式(观测策略或“节奏”)尚未最终确定。在这份动态发展的社区白皮书中，我们探讨了预期科学调查的详细表现将如何依赖于LSST观测战略的微小变化。使用LSST时间表和观测属性的真实模拟，我们设计和计算诊断指标和功绩图，提供对不同观测策略的定量评估，分析它们对广泛提出的科学项目的影响。这是正在进行的工作：我们正在利用这份白皮书相互交流可以作出的观测战略选择的相对优点，以努力最大限度地发挥调查的科学价值。对一些科学案例的调查得出了一些可以模拟和可能采用的新战略的建议。值得注意的是，我们发现了探索空间上统一的年度平铺天空的偏离的动机：相反，以“滚动节奏”聚焦于不同年份调查区域的不同部分，可能对一些时间域和移动物体天文学项目具有重大好处。一套量化和均匀编码的指标的公共组装是迈向对任何给定节奏模拟进行自动化、系统、基于科学的评估的重要第一步，这将使LSST的调度尽可能地获得充分的信息。
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.