2022
DOI: 10.1051/0004-6361/202243145
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Low-order wavefront control using a Zernike sensor through Lyot coronagraphs for exoplanet imaging

Abstract: Context. The combination of large segmented space telescopes, coronagraphy, and wavefront control methods is a promising solution for producing a dark hole (DH) region in the coronagraphic image of an observed star in order to study planetary companions. The thermal and mechanical evolution of such a high-contrast instrumental setup leads to wavefront drifts that degrade the DH contrast during the observing time, thus limiting the ability to retrieve planetary signals. Aims. Lyot-style coronagraphs are starlig… Show more

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Cited by 4 publications
(3 citation statements)
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References 32 publications
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“…This could be a ZWFS integrated within a Lyot-style coronagraph as demonstrated in. 9,35,36 The integrated control inside the coronagraph is necessary to meet the raw contrast requirements. Additionally, we added a dedicated coronagraphic DM inside the instrument to control the focal plane speckles.…”
Section: Proposed Instrument Architecturementioning
confidence: 99%
“…This could be a ZWFS integrated within a Lyot-style coronagraph as demonstrated in. 9,35,36 The integrated control inside the coronagraph is necessary to meet the raw contrast requirements. Additionally, we added a dedicated coronagraphic DM inside the instrument to control the focal plane speckles.…”
Section: Proposed Instrument Architecturementioning
confidence: 99%
“…This experiment was performed with the smaller dark zone (larger IWA) and the previoius infrastructure, and with a closed enclosure. 27…”
Section: Milestone Level 3: Dark Hole With Closed-loop Control Under ...mentioning
confidence: 99%
“…The total experiment runs for 30 min and the LOWFS allows us to stabilize the contrast at about 3 × 10 −8 , even after the open-loop drift reaches about 2 × 10 −7 . This experiment was performed with the smaller dark zone (larger IWA) and the previoius infrastructure, and with a closed enclosure 27.…”
mentioning
confidence: 99%