Daniel Mooney
Massachusetts Institute of Technology
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Featured researches published by Daniel Mooney.
Optical spectroscopic techniques and instrumentation for atmospheric and space research. Conference | 1999
William L. Smith; Allen M. Larar; Daniel K. Zhou; Christopher A. Sisko; Jun Li; Bormin Huang; H. Benjamin Howell; Henry E. Revercomb; Daniel Cousins; Michael J. Gazarik; Daniel Mooney; Stephen A. Mango
A new high spectral resolution (0.25 cm-1) and high spatial resolution (2.6 km) scanning (46 km swath width) Fourier Transform Spectrometer (FTS) has been built for flight on NASA high altitude (approximately 20 km) aircraft. The instrument, called the NPOESS Aircraft Sounding Testbed- Interferometer (NAST-I), has been flown during several field campaigns to provide experimental observations needed to finalize specifications and to test proposed designs for future satellite instruments; specifically, the Cross-track Infrared Sounder (CrIS) to fly on the National Polar-orbiting Operational Environmental Satellite System (NPOESS). NAST-I provides new and exciting observations of mesoscale structure of the atmosphere, including the fine scale thermodynamic characteristics of hurricanes. The NAST-I instrument is described, its excellent spectral and radiometric performance is demonstrated, and surface and atmospheric remote sensing results obtained during airborne measurement campaigns are presented.
Proceedings of SPIE | 2005
Michael Kelly; Robert Berger; Curtis Colonero; Mark Gregg; Joshua Model; Daniel Mooney; Eric Ringdahl
The digital focal plane array (DFPA) project demonstrates the enabling technologies necessary to build readout integrated circuits for very large infrared focal plane arrays (IR FPAs). Large and fast FPAs are needed for a new class of spectrally diverse sensors. Because of the requirement for high-resolution (low noise) sampling, and because of the sample rate needed for rapid acquisition of high-resolution spectra, it is highly desirable to perform analog-to-digital (A/D) conversion right at the pixel level. A dedicated A/D converter located under every pixel in a one-million-plus element array, and all-digital readout integrated circuits will enable multi- and hyper-spectral imaging systems with unprecedented spatial and spectral resolution and wide area coverage. DFPAs provide similar benefits to standard IR imaging systems as well. We have addressed the key enabling technologies for realizing the DFPA architecture in this work. Our effort concentrated on demonstrating a 60-micron footprint, 14-bit A/D converter and 2.5 Gbps, 16:1 digital multiplexer, the most basic components of the sensor. The silicon test chip was fabricated in a 0.18-micron CMOS process, and was designed to operate with HgxCd1-xTe detectors at cryogenic temperatures. Two A/D designs, one using static logic and one using dynamic logic, were built and tested for performance and power dissipation. Structures for evaluating the bit-error-rate of the multiplexer on-chip and through a differential output driver were implemented for a complete performance assessment. A unique IC probe card with fixtures to mount into an evacuated, closed-cycle helium dewar were also designed for testing up to 2.5 Gbps at temperatures as low as 50 K.
Chemical and Biological Sensing VII | 2006
Juliette A. Seeley; Edward C. Wack; Daniel Mooney; Michael Muldoon; Shen Shey; Carolyn A. Upham; John M. Harvey; Richard N. Czerwinski; Michael P. Jordan; Alexandre Vallières; Martin Chamberland
Detection performance of LWIR passive standoff chemical agent sensors is strongly influenced by various scene parameters, such as atmospheric conditions, temperature contrast, concentration-path length product (CL), agent absorption coefficient, and scene spectral variability. Although temperature contrast, CL, and agent absorption coefficient affect the detected signal in a predictable manner, fluctuations in background scene spectral radiance have less intuitive consequences. The spectral nature of the scene is not problematic in and of itself; instead it is spatial and temporal fluctuations in the scene spectral radiance that cannot be entirely corrected for with data processing. In addition, the consequence of such variability is a function of the spectral signature of the agent that is being detected and is thus different for each agent. To bracket the performance of background-limited (low sensor NEDN), passive standoff chemical sensors in the range of relevant conditions, assessment of real scene data is necessary1. Currently, such data is not widely available2. To begin to span the range of relevant scene conditions, we have acquired high fidelity scene spectral radiance measurements with a Telops FTIR imaging spectrometer3. We have acquired data in a variety of indoor and outdoor locations at different times of day and year. Some locations include indoor office environments, airports, urban and suburban scenes, waterways, and forest. We report agent-dependent clutter measurements for three of these backgrounds.
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X | 2004
Michael W. Kelly; Daniel Mooney
The Cross-track Infrared Sounder (CrIS), like most Fourier Transform spectrometers, can be sensitive to mechanical disturbances during the time spectral data is collected. The Michelson interferometer within the spectrometer modulates input radiation at a frequency equal to the product of the wavenumber of the radiation and the constant optical path difference (OPD) velocity associated with the moving mirror. The modulation efficiency depends on the angular alignment of the two wavefronts exiting the spectrometer. Mechanical disturbances can cause errors in the alignment of the wavefronts which manifest as noise in the spectrum. To mitigate these affects CrIS will employ a laser to monitor alignment and dynamically correct the errors. Additionally, a vibration isolation system will damp disturbances imparted to the sensor from the spacecraft. Despite these efforts, residual noise may remain under certain conditions. Through simulation of CrIS data, we demonstrated an algorithmic technique to correct residual dynamic alignment errors. The technique requires only the time-dependent wavefront angle, sampled coincidentally with the interferogram, and the second derivative of the erroneous interferogram as inputs to compute the correction. The technique can function with raw interferograms on board the spacecraft, or with decimated interferograms on the ground. We were able to reduce the dynamic alignment noise by approximately a factor of ten in both cases. Performing the correction on the ground would require an increase in data rate of 1-2% over what is currently planned, in the form of 8-bit digitized angle data.
Fourier Transform Spectroscopy (2003), paper FWC3 | 2003
Pierre Tremblay; Daniel Mooney; Michael W. Kelly; Martin Chamberland; Vincent Farley; Joe Predina
Fourier-transform spectrometers using plane mirror interferometers can suffer from residual mirror misalignment. An efficient algorithm has been developed to correct directly, in real-time, the sampled interferogram for signal distortions arising from this residual tilt.
Journal of Geophysical Research | 2013
Yong Han; Henry E. Revercomb; Mike Cromp; Degui Gu; David G. Johnson; Daniel Mooney; Deron Scott; L. Larrabee Strow; Gail E. Bingham; Lori Borg; Yong Chen; Daniel H. DeSlover; Mark P. Esplin; Denise E. Hagan; Xin Jin; Robert O. Knuteson; Howard E. Motteler; Joe Predina; Lawrence Suwinski; Joe K. Taylor; David C. Tobin; Denis Tremblay; Chunming Wang; Lihong Wang; Likun Wang; Vladimir V. Zavyalov
Archive | 2006
Michael Kelly; Daniel Mooney; Curtis Colonero; Robert Berger; Lawrence M. Candell
Journal of Geophysical Research | 2013
David C. Tobin; Henry E. Revercomb; Robert O. Knuteson; Joe K. Taylor; Fred A. Best; Lori Borg; Dan DeSlover; Graeme Martin; Henry Buijs; Mark P. Esplin; Ronald J. Glumb; Yong Han; Daniel Mooney; Joe Predina; L. Larrabee Strow; Lawrence Suwinski; Likun Wang
Archive | 2011
Michael Kelly; Brian Tyrrell; Curtis Colonero; Robert Berger; Kenneth I. Schultz; James Wey; Daniel Mooney; Lawrence M. Candell
Journal of Geophysical Research | 2013
Yong Han; Henry E. Revercomb; Mike Cromp; Degui Gu; David G. Johnson; Daniel Mooney; Deron Scott; L. Larrabee Strow; Gail E. Bingham; Lori Borg; Yong Chen; Daniel H. DeSlover; Mark P. Esplin; Denise E. Hagan; Xin Jin; Robert O. Knuteson; Howard E. Motteler; Joe Predina; Lawrence Suwinski; Joe K. Taylor; David C. Tobin; Denis Tremblay; Chunming Wang; Lihong Wang; Likun Wang; Vladimir V. Zavyalov