L. Schatz, J. Males, J. Codona, W. Pullen, M. Hart, J. Lumbres, B. Neichel, C. Correia, T. Fusco, V. Chambouleyron, Pierre Janin-Poitron, K. V. Gorkom, M. Mateen, J. Long, Chris Bohlman, Olivier Favarque
Within the next decade the Extremely Large Telescopes [ELTs] with diameters up to 40m will see first light. To optimize a high contrast pyramid wavefront sensor for an ELT extreme adaptive optics system, we are developing the theoretical framework of a three-sided pyramid wavefront sensor (3PWFS). The 3PWFS should have a higher photon efficiency and therefore be more sensitive to wavefront aberrations than the traditional four-sided pyramid wavefront sensor (4PWFS) in the presence of noise. In this paper we present results from end-to-end simulations, and from test benches at the Laboratoire d’Astrophysique de Marseille, and the University of Arizona.
{"title":"First results of laboratory tests of a three-sided pyramid wavefront sensor","authors":"L. Schatz, J. Males, J. Codona, W. Pullen, M. Hart, J. Lumbres, B. Neichel, C. Correia, T. Fusco, V. Chambouleyron, Pierre Janin-Poitron, K. V. Gorkom, M. Mateen, J. Long, Chris Bohlman, Olivier Favarque","doi":"10.1117/12.2562673","DOIUrl":"https://doi.org/10.1117/12.2562673","url":null,"abstract":"Within the next decade the Extremely Large Telescopes [ELTs] with diameters up to 40m will see first light. To optimize a high contrast pyramid wavefront sensor for an ELT extreme adaptive optics system, we are developing the theoretical framework of a three-sided pyramid wavefront sensor (3PWFS). The 3PWFS should have a higher photon efficiency and therefore be more sensitive to wavefront aberrations than the traditional four-sided pyramid wavefront sensor (4PWFS) in the presence of noise. In this paper we present results from end-to-end simulations, and from test benches at the Laboratoire d’Astrophysique de Marseille, and the University of Arizona.","PeriodicalId":231205,"journal":{"name":"Adaptive Optics Systems VII","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128756641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Marín, C. Cavedoni, T. Schneider, A. Ebbers, Stacy Kang, S. Karewicz, G. Sivo, M. Lazo, Kimberly Tomasino-Reed, W. Rambold
{"title":"Laser guide star facility development for GNAO a new AO facility for Gemini North","authors":"E. Marín, C. Cavedoni, T. Schneider, A. Ebbers, Stacy Kang, S. Karewicz, G. Sivo, M. Lazo, Kimberly Tomasino-Reed, W. Rambold","doi":"10.1117/12.2561580","DOIUrl":"https://doi.org/10.1117/12.2561580","url":null,"abstract":"","PeriodicalId":231205,"journal":{"name":"Adaptive Optics Systems VII","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126335211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robin Swanson, M. Lamb, S. Sivanandam, C. Correia, Kiriakos N. Kutulakos
{"title":"Predictive AO control with convolutional neural networks","authors":"Robin Swanson, M. Lamb, S. Sivanandam, C. Correia, Kiriakos N. Kutulakos","doi":"10.1117/12.2561175","DOIUrl":"https://doi.org/10.1117/12.2561175","url":null,"abstract":"","PeriodicalId":231205,"journal":{"name":"Adaptive Optics Systems VII","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132423877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
O. Farley, J. Osborn, R. Wilson, T. Fusco, B. Neichel, T. Morris, C. Correia
The performance of tomographic adaptive optics systems will depend on the vertical profile of turbulence in the atmosphere. Since the profile is changing over time, to maintain optimal correction the tomographic reconstructor must be continually updated with new profile information. Several reconstructor parameters must then be chosen to optimise performance given the constraints of real-time computing resources: the number of reconstructed layers, reoptimisation period and averaging time. We analyse the effect of changing these parameters by coupling fast Fourier-domain AO simulation with a large database of over 10,000 high resolution turbulence profiles measured by the Stereo-SCIDAR at Paranal.
{"title":"Optimising tomographic reconstructor parameters for adaptive optics using real turbulence profiles","authors":"O. Farley, J. Osborn, R. Wilson, T. Fusco, B. Neichel, T. Morris, C. Correia","doi":"10.1117/12.2561425","DOIUrl":"https://doi.org/10.1117/12.2561425","url":null,"abstract":"The performance of tomographic adaptive optics systems will depend on the vertical profile of turbulence in the atmosphere. Since the profile is changing over time, to maintain optimal correction the tomographic reconstructor must be continually updated with new profile information. Several reconstructor parameters must then be chosen to optimise performance given the constraints of real-time computing resources: the number of reconstructed layers, reoptimisation period and averaging time. We analyse the effect of changing these parameters by coupling fast Fourier-domain AO simulation with a large database of over 10,000 high resolution turbulence profiles measured by the Stereo-SCIDAR at Paranal.","PeriodicalId":231205,"journal":{"name":"Adaptive Optics Systems VII","volume":"os-16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127765394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Residual phasing errors from segmented mirror telescopes can significantly inhibit the performance of an adaptive optics (AO) system. One approach to quantify these errors utilizes the imaging capabilities of a telescope’s instrument suite; quantification requires images that have observed the primary, therefore these images should be on-sky and AO-corrected in the absence of a source that views the primary. An image-based phase estimation technique that can potentially make this quantification is Phase Diversity, whereby focussed/defocussed images of a bright star are compared with models to estimate phase. Traditional use of this technique with on-sky images can be difficult due to atmospheric evolution between image pairs. This is further compounded due to both NCPA and the partial AO correction of phasing errors persisting in on-sky images. Here we propose a technique that can mitigate the atmospheric effects, estimate the NCPA and assess phasing errors under partial AO correction.
{"title":"Phasing segmented mirror telescopes with adaptive optics corrected images","authors":"M. Lamb, C. Correia, S. Sivanandam, J. Delorme","doi":"10.1117/12.2562317","DOIUrl":"https://doi.org/10.1117/12.2562317","url":null,"abstract":"Residual phasing errors from segmented mirror telescopes can significantly inhibit the performance of an adaptive optics (AO) system. One approach to quantify these errors utilizes the imaging capabilities of a telescope’s instrument suite; quantification requires images that have observed the primary, therefore these images should be on-sky and AO-corrected in the absence of a source that views the primary. An image-based phase estimation technique that can potentially make this quantification is Phase Diversity, whereby focussed/defocussed images of a bright star are compared with models to estimate phase. Traditional use of this technique with on-sky images can be difficult due to atmospheric evolution between image pairs. This is further compounded due to both NCPA and the partial AO correction of phasing errors persisting in on-sky images. Here we propose a technique that can mitigate the atmospheric effects, estimate the NCPA and assess phasing errors under partial AO correction.","PeriodicalId":231205,"journal":{"name":"Adaptive Optics Systems VII","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132555905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Mateen, C. Bigler, Robert Johnson, Michael D. Oliker, Terry Brennan, M. Hart, J. Codona
{"title":"A test bed to compare the performance of different wavefront sensory","authors":"M. Mateen, C. Bigler, Robert Johnson, Michael D. Oliker, Terry Brennan, M. Hart, J. Codona","doi":"10.1117/12.2576384","DOIUrl":"https://doi.org/10.1117/12.2576384","url":null,"abstract":"","PeriodicalId":231205,"journal":{"name":"Adaptive Optics Systems VII","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117197837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Bos, K. Miller, J. Lozi, O. Guyon, V. M. Radhakrishnan, E. Por, C. Keller, D. Doelman, S. Vievard, A. Sahoo, V. Deo, T. Currie, N. Jovanovic, F. Martinache, M. Kenworthy, F. Snik
We present new results with the Asymmetric Pupil vector-Apodizing Phase Plate (APvAPP), which combines coronagraphy and wavefront sensing to enable a 100% science duty cycle. We show on-sky results at SCExAO with a non-linear, model-based wavefront sensing algorithm improving the raw contrast by a factor of 2 at 2-4 lambda/D. We also report on the first on-sky demonstration of spatial Linear Dark Field Control with the APvAPP. Together, these algorithms improve the control speed, raw contrast gain and allow more modes to be corrected. Finally, we discuss the path towards coherent differential imaging with the APvAPP.
{"title":"On-sky results of focal-plane wavefront sensing and control with the asymmetric pupil vector-apodizing phase plate coronagraph","authors":"S. Bos, K. Miller, J. Lozi, O. Guyon, V. M. Radhakrishnan, E. Por, C. Keller, D. Doelman, S. Vievard, A. Sahoo, V. Deo, T. Currie, N. Jovanovic, F. Martinache, M. Kenworthy, F. Snik","doi":"10.1117/12.2562294","DOIUrl":"https://doi.org/10.1117/12.2562294","url":null,"abstract":"We present new results with the Asymmetric Pupil vector-Apodizing Phase Plate (APvAPP), which combines coronagraphy and wavefront sensing to enable a 100% science duty cycle. We show on-sky results at SCExAO with a non-linear, model-based wavefront sensing algorithm improving the raw contrast by a factor of 2 at 2-4 lambda/D. We also report on the first on-sky demonstration of spatial Linear Dark Field Control with the APvAPP. Together, these algorithms improve the control speed, raw contrast gain and allow more modes to be corrected. Finally, we discuss the path towards coherent differential imaging with the APvAPP.","PeriodicalId":231205,"journal":{"name":"Adaptive Optics Systems VII","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126351797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this contribution we apply to Paranal a technique successfully tested and implemented in the ALTA Center to support LBT observations permitting us to provide optical turbulence forecasts at time scales of 1 and 2 hours with unprecedent accuracies and with important gain with respect to the forecasts done with simple real-time measurements (method by persistence). We use an autoregressive method that takes into account real-time measurements and forecast performed with a mesoscale atmospherical model. Results obtained so far give an RMSE of 0.1” at 1h for the seeing and a probability to detect the seeing weaker than the first tertile (calculated on climatological scale) equal to 98%. In this study we extend the techniques to other astroclimatic parameters beside the seeing.
{"title":"Towards operational optical turbulence forecast systems at different time scales","authors":"E. Masciadri, A. Turchi, G. Martelloni","doi":"10.1117/12.2561049","DOIUrl":"https://doi.org/10.1117/12.2561049","url":null,"abstract":"In this contribution we apply to Paranal a technique successfully tested and implemented in the ALTA Center to support LBT observations permitting us to provide optical turbulence forecasts at time scales of 1 and 2 hours with unprecedent accuracies and with important gain with respect to the forecasts done with simple real-time measurements (method by persistence). We use an autoregressive method that takes into account real-time measurements and forecast performed with a mesoscale atmospherical model. Results obtained so far give an RMSE of 0.1” at 1h for the seeing and a probability to detect the seeing weaker than the first tertile (calculated on climatological scale) equal to 98%. In this study we extend the techniques to other astroclimatic parameters beside the seeing.","PeriodicalId":231205,"journal":{"name":"Adaptive Optics Systems VII","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125677003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The new generation of ground-based extremely large telescopes rely on adaptive optics (AO). Many AO systems require the reconstruction of the turbulence profile, which is called atmospheric tomography. Due to the growth of telescope sizes the computational load for this problem is increasing drastically. Thus, the collaboration of state-of-the-art real-time hardware with an efficient solver that take advantage of the available hardware resources is of great importance. In this talk, we look at an iterative approach called FEWHA and its adaption to perform best on real-time hardware. We conclude our talk with a comparison between FEWHA and the frequently used MVM within the framework of MAORY.
{"title":"Performance of an iterative solver for atmospheric tomography on real-time hardware","authors":"B. Stadler, R. Ramlau, R. Biasi","doi":"10.1117/12.2560217","DOIUrl":"https://doi.org/10.1117/12.2560217","url":null,"abstract":"The new generation of ground-based extremely large telescopes rely on adaptive optics (AO). Many AO systems require the reconstruction of the turbulence profile, which is called atmospheric tomography. Due to the growth of telescope sizes the computational load for this problem is increasing drastically. Thus, the collaboration of state-of-the-art real-time hardware with an efficient solver that take advantage of the available hardware resources is of great importance. In this talk, we look at an iterative approach called FEWHA and its adaption to perform best on real-time hardware. We conclude our talk with a comparison between FEWHA and the frequently used MVM within the framework of MAORY.","PeriodicalId":231205,"journal":{"name":"Adaptive Optics Systems VII","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134490965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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