Science with High Spatial Resolution Far-Infrared Data

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Science with High Spatial Resolution Far-Infrared Data JPL Publication 94-5 SCIENCE WITH HIGH SPATIAL RESOLUTION FAR-INFRARED DATA Edited by S. Terebey and J. Mazzarella 1994 (Pasadena: JPL) Proceedings of a Workshop held 14-16 June 1993 at the Infrared Processing and Analysis Center 770 S. Wilson, Caltech, Pasadena, California 91125 PREFACE Data at far-infrared wavelengths are difficult to obtain and usually have much lower spatial resolution than data which are routinely obtained at other wavelengths. However, the many astrophysical problems that can only be well addressed in the far-infrared have inspired efforts to extract high spatial resolution information from instruments including the Infrared Astronomical Satellite (IRAS) and the Kuiper Airborne Observatory (KAO). The IRAS data also provide a fundamental archive since IRAS produced a nearly complete survey of the infrared sky. Although the IRAS survey strategy was not designed with the specific purpose of constructing images of the sky, the ingenuity of software developers has recently resulted in innovative techniques which are allowing astronomers to push the limits of these and other far-infrared data. The goal of this workshop was to discuss new science and techniques relevant to high spatial resolution processing of far-infrared data, with particular focus on high resolution processing of IRAS data. Users of the maximum correlation method, maximum entropy, and other resolution enhancement algorithms applicable to far-infrared data gathered at the Infrared Processing and Analysis Center (IPAC) on the Caltech campus in Pasadena for two days in June 1993 to compare techniques and discuss new results. During a special session on the third day, interested astronomers were introduced to IRAS HIRES processing, which is IPAC's implementation of the maximum correlation method to the IRAS data. Individuals who desire further information about IRAS or HIRES processing are encouraged to contact IPAC. This workshop would not have been possible without the hard work of Donna Milton during all stages, from planning of the conference through formatting and editing of the proceedings. We also express our thanks to the Local Organizing Committee--- Chas Beichman (IPAC), Zhong Wang (IPAC), and Tom Soifer (Caltech), and the Scientific Advisory Committee--- Tj. Romke Bontekoe (ESA/ESTEC), John Hackwell (Aerospace Corp.), Dan Lester (U. Texas), and Erick Young (Steward Obs.). Thanks also go to Steve Lord, Pat McLane, Mary Ellen Barba, and David Stanley for help before and during the workshop. Some funding was provided by registration fees_ but this conference would not have been possible without substantial financial assistance from the Jet Propulsion Laboratory, which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration. S. Terebey and J. Mazzarella, Editors May 1994, Pasadena, CA P_ PAGE BLgD_K NOT FtLb_._.,: .°. 111 L PAGE II INTENTION/kLLY5L..."._K Science with High Spatial Resolution Far-Infrared Data TABLE OF CONTENTS PART I: Introduction and Technical Overviews HiRes and Beyond .................................................................................... 1 J.W. Fowler and H.H. Aumann MEM Application to IRAS CPC Images .............................................................. 11 A.P. Marston An Assessment of Image Reconstruction from Balloon-borne and the IRAS Data ...................... 17 S.K. Ghosh, B. Das, T.N. Rengarajan and R.P. Verma In Search of Random Noise ........................................................................... 23 D. Kester and Tj.R. Bontekoe Pushing the Limits of Spatial Resolution with the Kuiper Airborne Observatory ...................... 33 D. Lester A High Resolution Atlas of the Galactic Plane at 12/am and 25/am ................................... 45 S.D. Price, R. Korte, R.S. Sample, J.P. Kennealy and R. Gonsalves Constraints as a Destriping Tool for HIRES Images ................................................... 55 Y. Cao and T.A. Prince Beyond Maximum Entropy: Fractal Pixon-Based Image Reconstruction ............................... 61 R. Puetter and R.K. Piiia HIRAS: High-Resolution IRAS Images ............................................................... 69 Tj.R. Bontekoe and D. Kester PART II: Extragalactic Astronomy Interacting Galaxies Resolved by IRAS ............................................................... 71 J.M. Mazzarella and J.A. Surace Azimuthally Averaged Radial Slooi,,n/S6o,m Dust Color Temperatures in Spiral Galaxies ............................................................................... 81 N.A. Devereux Far-Infrared Sources and Diffuse Emission in M31 .................................................... 87 C. Xu and G. ttelou Correlation of Far-Infrared Emission and Radio Continuum Emission Along the Major Axis of Edge-On Spiral Galaxies ...................................... 95 B. Heikkila and W.R. Webber Far-Infrared Mapping of Dusty Elliptical Galaxies ................................................... 101 J.F. Lees, D.A. Harper, M. P. Rupen, and G. R. Knapp Extended Far-Infrared Emission and Star Formation in Seyfert Galaxies ............................. 107 A.P. Marston Two-Dinmnsional Maps of the Infrared-to-Radio Ratio in Spiral Galaxies ............................ 115 K.A. Marsh and G. Helou The Variation of the Dust Tcmperature Within Late-Type Spiral Galaxies ........................... 121 Rh. Evans PART III: Galactic and Solar System Astronomy An IRAS HiRes Study of Low Mass Star Formation in the Taurus Molecular Ring ................................................................................. 127 S. Terebey and J. Surace HIRAS Images of Fossil Dust Shells Around AGB Stars ............................................. 137 L.B.F.M. Waters, D.J.M. Kester, J.R. Bontekoe, and C. Loup Wavelet Analysis Applied to the IRAS Cirrus ....................................................... 143 W. Langer, R. W. Wilson, and C. H. Anderson A HiRes Analysis of the F1R Emission of Supernova Remnants ...................................... 157 Z. Wang Arcminute Scale HI and IRAS Observations Toward High Latitude Cloud G86.5+59.6 .............................................................................. 165 P.G. Martin, C. Rogers, W.T. Reach, P.E. Dewdney and C.E. Heiles Application of MCM Image Construction to IRAS Comet Observations .............................. 173 M.F. Schlapfer and R.G. Walker Luminous Radio-Quiet Sources in the W3(Main) Cloud Core ........................................ 177 C.G. Wynn-Williams, E.F. Ladd, J.R. Deane, and D.B. Sanders hldex of Authors ................................................................................. 183 List of Attendees ................................................................................. 185 vi N95- 21750 HIRES AND BEYOND J. W. FOWLER AND H. H. AUMANN Infrared Processing and Analysis Center, MS 100-22 California Institute of Technology, Jet Propulsion Laboratory Pasadena, CA 91125 ABSTRACT The High-Resolution image construction program (Hi- Res) used at IPAC is based on the Maximum Correlation Method. After HiRes intensity images are constructed from IRAS data, additional im- ages are needed to aid in scientific interpretation. Some of the images that are available for this purpose show the fitting noise, estimates of the achieved resolution, and detector track maps. Two methods have been developed for creating color maps without discarding any more spa- tial information than absolutely necessary: the "cross-band simulation" and "prior-knowledge" methods. These maps are demonstrated using the survey observations of a 2 × 2 degree field centered on M31. Prior knowledge may also be used to achieve super-resolution and to suppress ringing around bright point sources observed against background emis- sion. Tools to suppress noise spikes and for accelerating convergence are also described. 1. INTRODUCTION The high-resolution image construction program used at IPAC is based on the Maximum Correlation Method (MCM; see Aumann, l,bwler, and Melnyk, 1990). This program uses IRAS survey and additional observation data to construct images in the four IRAS survey wavelength bands. These images are intensity maps covering typically one to four square degrees. The effective beam size varies significantly over these inlages because of the manner in which the IRAS tele- scope gathered infrared data. This makes interpreting the images and obtaining color ratios especially challenging. Complications are added by tile nature of tile celestial background (the varying zodiacal background) and the detectors. The more important effects caused by the detectors and the orbital environment are: hysteresis, residuals of radiation hits, saturation for bright sources, detectors of different noise amplitude, and baseline drift due to 1/f noise (1RAS Explanatory Supplement 1988). In this paper we discuss additionM tools and techniques that have been developed at IPAC over the last two years to address these difficulties. Some of these are byproducts of the intensity imaging (e.g., correction-factor variance and coverage maps), while others have I)een added recently to the default l)rod- ucts (e.g., beam-sample maps and detector track maps). Some techniques that have been developed are now employed by default (e.g., automatic llux-bias pro- S. Terebey as_d J. Mazzza'ella (eds.), Sciezlce with High-5)Jatial l'lesolutiou Far hJfi'ared Data, 1-10, 1994, Jet Propulsion Laboratory, Pasadena, CA. 2 FOWLER AND AUMANN q Fig. 1: Intensity
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