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Archive | 2002

The RHESSI Imaging Concept

G. J. Hurford; E.J. Schmahl; Richard A. Schwartz; A.J. Conway; Markus J. Aschwanden; Andre Csillaghy; B. R. Dennis; Christopher M. Johns-Krull; S. Krucker; R. P. Lin; J. McTiernan; Thomas R. Metcalf; J. Sato; David M. Smith

The Reuven Ramaty High-Energy Solar Spectroscopic Imager (RHESSI) observes solar hard X-rays and gamma-rays from 3xa0keV to 17xa0MeV with spatial resolution as high as 2.3xa0arcxa0sec. Instead of focusing optics, imaging is based on nine rotating modulation collimators that time-modulate the incident flux as the spacecraft rotates. Starting from the arrival time of individual photons, ground-based software then uses the modulated signals to reconstruct images of the source. The purpose of this paper is to convey both an intuitive feel and the mathematical basis for this imaging process. Following a review of the relevant hardware, the imaging principles and the basic back-projection method are described, along with their relation to Fourier transforms. Several specific algorithms (Clean, MEM, Pixons and Forward-Fitting) applicable to RHESSI imaging are briefly described. The characteristic strengths and weaknesses of this type of imaging are summarized.


Information Retrieval | 2000

Content-Based Image Retrieval in Astronomy

Andre Csillaghy; Hans Hinterberger; Arnold O. Benz

Content-based image retrieval in astronomy needs methods that can deal with an image content made of noisy and diffuse structures. This motivates investigations on how information should be summarized and indexed for this specific kind of images. The method we present first summarizes the image information content by partitioning the image in regions with same texture. We call this process texture summarization. Second, indexing features are generated by examining the distribution of parameters describing image regions. Indexing features can be associated with global or local image characteristics. Both kinds of indexing features are evaluated on the retrieval system of the Zurich archive of solar radio spectrograms. The evaluation shows that generating local indexing features using self-organizing maps yields the best effectiveness of all tested methods.


SPIE's International Symposium on Optical Science, Engineering, and Instrumentation | 1998

High-Energy Solar Spectroscopic Imager (HESSI) Small Explorer mission for the next (2000) solar maximum

Robert P. Lin; G. J. Hurford; N. W. Madden; Brian R. Dennis; C. J. Crannell; Gordon D. Holman; R. Ramaty; Tycho T. von Rosenvinge; Alex Zehnder; H. Frank van Beek; Patricia Lee Bornmann; Richard C. Canfield; A. Gordon Emslie; Hugh S. Hudson; Arnold O. Benz; John C. Brown; Shinzo Enome; Takeo Kosugi; N. Vilmer; David M. Smith; J. McTiernan; Isabel Hawkins; Said A. Slassi-Sennou; Andre Csillaghy; George H. Fisher; Christopher M. Johns-Krull; Richard A. Schwartz; Larry E. Orwig; Dominic M. Zarro; Ed Schmahl

The primary scientific objective of the High Energy Solar Spectroscopic Imager (HESSI) Small Explorer mission selected by NASA is to investigate the physics of particle acceleration and energy release in solar flares. Observations will be made of x-rays and (gamma) rays from approximately 3 keV to approximately 20 MeV with an unprecedented combination of high resolution imaging and spectroscopy. The HESSI instrument utilizes Fourier- transform imaging with 9 bi-grid rotating modulation collimators and cooled germanium detectors. The instrument is mounted on a Sun-pointed spin-stabilized spacecraft and placed into a 600 km-altitude, 38 degrees inclination orbit.It will provide the first imaging spectroscopy in hard x-rays, with approximately 2 arcsecond angular resolution, time resolution down to tens of ms, and approximately 1 keV energy resolution; the first solar (gamma) ray line spectroscopy with approximately 1-5 keV energy resolution; and the first solar (gamma) -ray line and continuum imaging,with approximately 36-arcsecond angular resolution. HESSI is planned for launch in July 2000, in time to detect the thousands of flares expected during the next solar maximum.


Archive | 2001

The Hessi Data Catalog

James M. McTiernan; Andre Csillaghy


Archive | 1999

The HESSI Coordinated Data Analysis Flare Archive

Dominic M. Zarro; Richard C. Canfield; Andre Csillaghy


Archive | 2010

Cloudy Solar Software - Enhanced Capabilities for Finding, Pre-processing, and Visualizing Solar Data

Laszlo Istvan Etesi; K. Tolbert; Richard M. Schwartz; Dominic M. Zarro; Brian R. Dennis; Andre Csillaghy


Archive | 2010

AIA and RHESSI Observations of Solar Coronal Jets

S. Krucker; Robert P. Lin; Andre Csillaghy


Archive | 2009

VSO For Dummies

Richard A. Schwartz; Dominic M. Zarro; Andre Csillaghy; Brian R. Dennis; A. K. Tolbert; Laszlo Istvan Etesi


Archive | 2008

Extending the Virtual Solar Observatory (VSO) to Incorporate Data Analysis Capabilities (III)

Dominic M. Zarro; Andre Csillaghy; Brian R. Dennis; Joseph A. Hourcle; Ervin Laszlo; Richard M. Schwartz; K. Tolbert


Archive | 2005

Integrated Data Analysis: the Other Side of The VO

Andre Csillaghy; A. K. Tolbert; Dominic M. Zarro; Richard A. Schwartz; Brian R. Dennis

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Dominic M. Zarro

Goddard Space Flight Center

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Brian R. Dennis

Goddard Space Flight Center

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A. K. Tolbert

Goddard Space Flight Center

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G. J. Hurford

University of California

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J. McTiernan

University of California

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Laszlo Istvan Etesi

The Catholic University of America

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Robert P. Lin

University of California

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