Standard exoplanet yield evaluation for the LUVOIR and HabEx concept studies

Morgan, Rhonda; Savransky, Dmitry; Turmon, M.; Mennesson, Bertrand; Mamajek, Eric E.; Shaklan, Stuart; Soto, Gabriel; Stapelfeldt, Karl; Dula, Walker; Keithly, Dean

doi:10.1117/12.2530668

Cited by 12 publications

(14 citation statements)

References 11 publications

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“…Integration times for observations can range from <1 h to multiple weeks. 17 A 6-h t obs was, therefore, selected to represent short integration times. To capture the longer integration times, we conducted deadbanding simulations for every star at different days throughout a 1-year mission.…”

Section: Station-keeping Metrics For Observation Schedulingmentioning

confidence: 99%

“…Full end-to-end direct imaging missions for starshades can be simulated using EXOSIMS. 16,17 At every decision step, a scheduling algorithm selects the next best star to observe. Many metrics are considered in this scheduling step: how likely a star is to have an orbiting exoplanet that is observable to your instrument, [18][19][20] whether each star is observable due to the relative location of the Sun or other bright solar system objects, 13,20 and the required fuel needed to slew to that next star, 13,21 among others.…”

Section: Introductionmentioning

confidence: 99%

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Analytical model for starshade formation flying with applications to exoplanet direct imaging observation scheduling

Soto

Savransky

Morgan

2021

J. Astron. Telesc. Instrum. Syst.

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Section: Station-keeping Metrics For Observation Schedulingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analytical model for starshade formation flying with applications to exoplanet direct imaging observation scheduling

Soto

Savransky

Morgan

2021

J. Astron. Telesc. Instrum. Syst.

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“…30 EXOSIMS continues to improve the fidelity of starshade propulsion modeling, [31][32][33] integration time optimization, 34 and schedulers for various architectures and observing scenarios. 1,35 EXOSIMS is described in more detail in Sec. 2.1.…”

Section: Approaches To Exoplanet Imaging Mission Yield Modelingmentioning

confidence: 99%

“…This study is not intended as a comprehensive treatise on the design space. These point designs were previously studied in a common comparison 1,2 that used two different modeling approaches (discussed below), but the same astrophysical inputs and instrument parameters.…”

Section: Introductionmentioning

confidence: 99%

Faster Exo-Earth yield for HabEx and LUVOIR via extreme precision radial velocity prior knowledge

Morgan

Savransky

Turmon

et al. 2021

J. Astron. Telesc. Instrum. Syst.

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The HabEx and LUVOIR mission concepts reported science yields for mission scenarios in which the instruments must search for potentially habitable planets, determine their orbits, and, if worthwhile, invest the integration time for a spectral characterization. We evaluate the impact of prior knowledge of planet existence and orbital parameters on yield for four mission concept architectures: HabEx 4m telescope with hybrid starshade and coronagraph, HabEx 4m telescope with starshade only, HabEx 4m telescope with coronagraph only, and LUVOIR B 8m telescope with coronagraph only. We use perfect prior knowledge to establish an upper bound on yield and use partial prior knowledge from a potential future extreme precision radial velocity (EPRV) instrument with 3 cm∕s sensitivity. We detail a modeling framework that performs dynamically responsive observation scheduling with realistic mission constraints. We evaluate exo-Earth yields against three metrics of spectral characterization for the four mission architectures and three levels of prior knowledge (none, partial, and perfect). The EPRV provided prior knowledge increases yields by ∼30% and accelerates by a factor of 3 to 6 the time to achieve half of the yield of the mission. Prior knowledge makes all the mission architectures more nimble and powerful, and most especially starshade-based architectures. With prior knowledge, a small telescope with a starshade can achieve comparable yield to a larger telescope with a coronagraph.

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“…In parallel with technology development and mission studies, design reference missions [17][18][19] have established the starshade's potential rich scientific returns. To date, these studies have relied on simplistic representations of starshade performance, e.g., spatially stationary imaging point spread functions (PSFs), representative stellar leakage profiles, and average solar glint characteristics, to suit the specific study needs.…”

Section: Introductionmentioning

confidence: 99%

Starshade Imaging Simulation Toolkit for Exoplanet Reconnaissance

Hildebrandt

Shaklan

Cady

et al. 2021

J. Astron. Telesc. Instrum. Syst.

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Starshade Imaging Simulation Toolkit for Exoplanet Reconnaissance (SISTER) is a versatile tool designed to provide accurate models of the images of exoplanet systems when observed with a starshade positioned to block the light from the host star. SISTER allows one to control a set of observational parameters including: (1) the starshade design, position, orientation, and glint properties; (2) the telescope and optical system pupil, aberrations, bandpass, and throughput including a detector model; (3) the exoplanetary system, including stellar distance and spectral type, parallax and proper motion, planet size, reflection properties, orbital parameters, and exozodiacal dust; and (4) background objects. Additionally, there is a substantial library of built-in plotting software added, but the simulations may be stored on disk and plotted with any other software. We describe SISTER's algorithms, its operational modules, and how it can be used to generate starshade optical simulations with a high degree of fidelity. We include some imaging examples. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Standard exoplanet yield evaluation for the LUVOIR and HabEx concept studies

Cited by 12 publications

References 11 publications

Analytical model for starshade formation flying with applications to exoplanet direct imaging observation scheduling

Analytical model for starshade formation flying with applications to exoplanet direct imaging observation scheduling

Faster Exo-Earth yield for HabEx and LUVOIR via extreme precision radial velocity prior knowledge

Starshade Imaging Simulation Toolkit for Exoplanet Reconnaissance

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