Dr. Nargess Memarsadeghi Profile

Dr. Nargess Memarsadeghi

Computer Engineer at NASA Goddard Space Flight Ctr

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Author

Publications (13)

Proceedings Article | 25 July 2024 Poster + Paper

Anomaly detection for the Roman Space Telescope wide field instrument’s science data processing pipeline

Paul Horton, Nargess Memarsadeghi, Jordan Caraballo-Vega

Proceedings Volume 13101, 131014B (2024) https://doi.org/10.1117/12.3020576

KEYWORDS: Sensors, Principal component analysis, Space telescopes, Data processing, Image restoration, Detector arrays

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Proceedings Article | 16 September 2015 Paper

PISCES: high contrast integral field spectrograph simulations and data reduction pipeline

Jorge Llop Sayson, Nargess Memarsadeghi, Michael McElwain, Qian Gong, Marshall Perrin, Timothy Brandt, Bryan Grammer, Bradford Greeley, George Hilton, Catherine Marx

Proceedings Volume 9605, 960524 (2015) https://doi.org/10.1117/12.2188492

KEYWORDS: Sensors, Point spread functions, Device simulation, Wavefronts, Electroluminescent displays, Spectrographs, Iterated function systems, Gemini Planet Imager, Radio propagation, Optical simulations

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Proceedings Article | 11 September 2015 Paper

Prototype imaging spectrograph for coronagraphic exoplanet studies (PISCES) for WFIRST/AFTA

Qian Gong, Michael McElwain, Bradford Greeley, Bryan Grammer, Catherine Marx, Nargess Memarsadeghi, Karl Stapelfeldt, George Hilton, Jorge Llop Sayson, Marshall Perrin, Richard Demers, Hong Tang, Brian Kern, Janan Ferdosi

Proceedings Volume 9605, 96050G (2015) https://doi.org/10.1117/12.2187122

KEYWORDS: Iterated function systems, Coronagraphy, Prisms, Reflectivity, Optical alignment, Sensors, Spectrographs, Spectroscopy, Relays, Mirrors

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Proceedings Article | 13 September 2012 Paper

Cryogenic photogrammetry and radiometry for the James Webb Space Telescope microshutters

Victor Chambers, Peter Morey, Barbara Zukowski, Alexander Kutyrev, Nicholas Collins, David Rapchun, Nargess Memarsadeghi, Samuel Moseley, Leroy Sparr, Peter Blake

Proceedings Volume 8450, 84501F (2012) https://doi.org/10.1117/12.924171

KEYWORDS: Camera shutters, Cryogenics, Cameras, Image registration, Infrared imaging, Image processing, James Webb Space Telescope, Visible radiation, Metrology, Image analysis

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Proceedings Article | 12 September 2012 Paper

Developing wide-field spatio-spectral interferometry for far-infrared space applications

David Leisawitz, Matthew Bolcar, Richard Lyon, Stephen Maher, Nargess Memarsadeghi, Stephen Rinehart, Evan Sinukoff

Proceedings Volume 8445, 84450A (2012) https://doi.org/10.1117/12.926812

KEYWORDS: Interferometry, Interferometers, Space telescopes, Telescopes, James Webb Space Telescope, Infrared telescopes, Data modeling, Mirrors, Visibility, Sensors

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Proceedings Article | 12 September 2012 Paper

Wide-field imaging interferometry spatial-spectral image synthesis algorithms

R. Lyon, D. Leisawitz, S. Rinehart, N. Memarsadeghi, E. Sinukoff

Proceedings Volume 8445, 84450B (2012) https://doi.org/10.1117/12.926920

KEYWORDS: Sensors, Interferometry, Point spread functions, Algorithm development, Fourier transforms, Imaging spectroscopy, Interferometers, Image processing, Data modeling, Spatial frequencies

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Proceedings Article | 10 February 2012 Paper

Moon search algorithms for NASA's Dawn Mission to asteroid Vesta

Nargess Memarsadeghi, Lucy McFadden, David Skillman, Brian McLean, Max Mutchler, Uri Carsenty, Eric Palmer

Proceedings Volume 8296, 82960H (2012) https://doi.org/10.1117/12.915564

KEYWORDS: Satellites, Asteroids, Space operations, Stars, Satellite imaging, Pluto, Planets, Satellite communications, Image processing, Cameras

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Proceedings Article | 8 February 2011 Paper

Image registration for stability testing of MEMS

Nargess Memarsadeghi, Jacqueline Le Moigne, Peter Blake, Peter Morey, Wayne Landsman, Victor Chambers, Samuel Moseley

Proceedings Volume 7873, 78730G (2011) https://doi.org/10.1117/12.872076

KEYWORDS: Image registration, Wavelets, Microelectromechanical systems, James Webb Space Telescope, Image analysis, Astronomy, Evolutionary algorithms, Image filtering, Medical imaging, Image resolution

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Proceedings Article | 8 February 2011 Paper

Characterization of moving dust particles

Brent Bos, Scott Antonille, Nargess Memarsadeghi

Proceedings Volume 7873, 78730E (2011) https://doi.org/10.1117/12.872018

KEYWORDS: Particles, Image processing, Image filtering, Sensors, Image analysis, Algorithm development, Bismuth, Diffraction, Logic, Detection and tracking algorithms

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Proceedings Article | 22 July 2010 Paper

Recent progress in wide-field imaging interferometry

S. Rinehart, D. Leisawitz, M. Bolcar, K. Chaprnka, R. Lyon, S. Maher, N. Memarsadeghi, E. Sinukoff, E. Teichman

Proceedings Volume 7734, 77342D (2010) https://doi.org/10.1117/12.857108

KEYWORDS: Interferometry, Data modeling, Interferometers, Mirrors, Data acquisition, Algorithm development, Spatial resolution, Space telescopes, Sensors, Visibility

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Proceedings Article | 28 July 2008 Paper

The wide-field imaging interferometry testbed (WIIT): recent progress and results

S. Rinehart, D. Leisawitz, B. Frey, R. Lyon, S. Maher, N. Memarsadeghi

Proceedings Volume 7013, 70132S (2008) https://doi.org/10.1117/12.787402

KEYWORDS: Interferometry, Interferometers, Data modeling, Data acquisition, Algorithm development, Mirrors, Metrology, Spatial resolution, Sensors, Cameras

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Proceedings Article | 28 July 2008 Paper

Wide-field imaging interferometry testbed (WIIT): image construction algorithms

Richard Lyon, Stephen Rinehart, David Leisawitz, Nargess Memarsadeghi

Proceedings Volume 7013, 70131M (2008) https://doi.org/10.1117/12.789833

KEYWORDS: Point spread functions, Interferometry, Algorithm development, Interferometers, Imaging spectroscopy, Image processing, Michelson interferometers, Sensors, Fourier transforms, Visibility

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Proceedings Article | 2 January 2002 Paper

Science goal driven observing: a step towards maximizing science returns and spacecraft autonomy

Anuradha Koratkar, Sandy Grosvenor, Jeremy Jones, Nargess Memarsadeghi, Karl Wolf

Proceedings Volume 4844, (2002) https://doi.org/10.1117/12.459501

KEYWORDS: Space operations, Observatories, Space telescopes, Telescopes, Data communications, Target recognition, Prototyping, Data storage, Telecommunications, Software development

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In the coming decade, the drive to increase the scientific returns on capital investment and to reduce costs will force automation to be implemented in many of the scientific tasks that have traditionally been manually overseen. Thus, spacecraft autonomy will become an even greater part of mission operations. While recent missions have made great strides in the ability to autonomously monitor and react to changing health and physical status of spacecraft, little progress has been made in responding quickly to science driven events. The new generation of space-based telescopes/observatories will see deeper, with greater clarity, and they will generate data at an unprecedented rate. Yet, while onboard data processing and storage capability will increase rapidly, bandwidth for downloading data will not increase as fast and can become a significant bottleneck and cost of a science program. For observations of inherently variable targets and targets of opportunity, the ability to recognize early if an observation will not meet the science goals of variability or minimum brightness, and react accordingly, can have a major positive impact on the overall scientific returns of an observatory and on its operational costs. If the observatory can reprioritize the schedule to focus on alternate targets, discard uninteresting observations prior to downloading, or download them at a reduced resolution its overall efficiency will be dramatically increased. We are investigating and developing tools for a science goal monitoring (SGM) system. The SGM will have an interface to help capture higher-level science goals from scientists and translate them into a flexible observing strategy that SGM can execute and monitor. SGM will then monitor the incoming data stream and interface with data processing systems to recognize significant events. When an event occurs, the system will use the science goals given it to reprioritize observations, and react appropriately and/or communicate with ground systems - both human and machine - for confirmation and/or further high priority analyses.

Showing 5 of 13 publications

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