![]() |
Richard A. Shaw Scientist Office: +1-520-318-8398 |
Home | Professional Profile | CV | Publications
|
I could hardly call myself a student of Jim Kaler or Don Osterbrock without having cultivated a deep interest in the astrophysics of gaseous nebulae. This area of knowledge is central to the understanding a wide variety of phenomena, from active galaxies to novae, star-forming regions to planetary nebulae. Analyzing the narrow emission lines from these objects is a powerful means to measure gas density, temperature, and chemical abundances. Some years back, I worked with Reggie Dufour to recast a FORTRAN program developed by Lick Observatory postdocs and graduate students, called FIVEL, into a powerful package in IRAF called nebular, to analyze collisionally excited emission lines. It has evidently had a significant impact on research in this area (see Shaw & Dufour 1995, PASP, 107, 896). Check out the nebular analysis software, which is part of the STSDAS package. Two of the applications are web-enabled: temden, which calculates the electron temperature or density from ratios of collisionally excited ions, and ionic, which calculates line volume-emissivities and ionic abundances. After 13 years, it is time to upgrade this software to a more modern language, add new features and ions, and to make it VO-enabled. I am now working with Arturo Manchado and (soon) a new post-doc on the next generation of nebular. |
![]() Great Nebula in Orion: C. R. O'Dell, S. K. Wong, NASA |
|
Planetary nebulae (PNe) are produced by post-Asympotic Giant Branch stars, whose progenitors span a mass range of about 1—8 MSun. This relatively brief phase of stellar evolution involves rapid evolution of the central star to very high temperatures, followed by a decline in luminosity as the star approaches white dwarf dimensions. While much is known about PNe, there are a number of fairly profound (and in some cases, simple) questions that remain unanswered: How many PNe are there in the Galaxy? What fraction of sub-supernova stars produce detectible PNe? What forces produce the complex (and beautiful!) morphologies seen in PNe? How many PNe are produced by stars in binary systems? To probe the questions of the origin of PN shaping, the evolution of dust, and the early star-nebula interaction, I am participating in ongoing Spitzer and HST programs to observe the 130 angularly smallest PNe in the Galaxy. Questions of PN production rates, luminosity functions, and progenitor duplicity can only be examined with complete samples, which are much easier to construct in the Magellanic Clouds (see below). |
![]() The complex morphology of the Cat's Eye nebula: R. Corradi, Z. Tsvetanov, NASA, ESA, and STScI/AURA |
|
One of the great advantages of studying Planetary Nebulae (PNe) in the Magellanic Clouds is that we know how far away they are (to ~10% accuracy). This is not so of Galactic PNe, where distances are rarely known to better than 50%. Also, the degree of interstellar extinction is low, so that it is possible to construct flux-limited, volume-complete samples of PNe in the Clouds. Study of such samples can reveal important properties, such as the intrinsic number of PNe per unit stellar luminosity in these galaxies, the distribution among PN morphological types, the range in mass of stars that form PNe, the content and evolution of dust chemistry as the PN central star evolves, and the yield of heavy elements that were generated by their parent AGB stars. |
![]() Emission-line image of the LMC: C. Smith, S. Points, the MCELS Team, and NOAO/AURA/NSF |
|
Using most ground-based telescopes, PNe in the Magellanic Clouds are angularly too small to be resolved. But they are easily resolved with Hubble Space Telescope. My colleague Letizia Stanghellini and I have been awarded hundreds of orbits of HST time, and dozens of hours with Spitzer Space Telescope to study Magellanic Cloud PNe. Take a tour of nearly 150 Planetary nebulae in the Large and Small Magellanic Clouds, as seen by HST. This represents 25–30% of all known PNe in these systems. |
![]() LMC PN images from HST: L. Stanghellini, R. Shaw, and NASA/AURA/STScI |
|
One of the expectations (or hopes?) from theory, based largely on momentum considerations, is that PNe with asymmetric morphology are shaped via interaction of the central star with a binary companion or massive planet. Some have argued that all visible PNe may be produced by binary central stars. This works only if the central stars are, in fact, close binaries—which lends itself to observational verification. The SuperMACHO and OGLE-3 surveys observed a large area of the central LMC in broad continuum bands, with a nightly or few-night cadence, over 5 or more years. I've begun to examine the light curves from a complete sample of LMC PNe for indications of binary central stars. Although there are significant selection effects, there are also many signatures that suggest binarity, including outburst events, eclipses, variability within the nebula itself, and irregular light curves. Planned follow-up photometric campaigns on the best candidates will clear up marginal cases, and will help characterize the binary systems. To complement the search for binary CSs, I am examining IR photometric properties of these PNe from the 2MASS and SAGE catalogs, in order to identify potential Giant binary companions through IR excess. |
![]() Representative types of photometric variability in PNe (top to bottom): outburst, slow decline, eclipsing binary, slow variation, temporally unresolved variation. |
One of the great joys of my career is the opportunity to work with many bright, energetic, and capable people in this sub-field. I am particularly indebted to my closest collaborator, Letizia Stanghellini, with whom I have worked for over 15 years. I have also had the pleasure over the past few years of working closely with: Bruce Balick, Ting-Hui Lee, Arturo Manchado, Quentin Parker, Warren Reid, Armin Rest, and Eva Villaver. I have of course collaborated and interacted with many other people over the years (see my publication list), and I am grateful to them all for their association, and for the many things I have learned from them.
The operation, calibration, and performance monitoring of space-based instruments is a challenging task. Most NASA astronomy missions expend considerable effort in this area, and also in documenting the instrument performance for end users since these provide high leverage for the community to generate science results with their data. During my career I was part of a team that was responsible for the Space Telescope Imaging Spectrograph, one of the most heavily used instruments on HST. I performed calibrations, and contributed material to the STIS Instrument Manual, the HST Data Handbook, and various STIS Instrument Science Reports.
|
Accepting institutional responsibility for instrument signature characterization has been slow to catch on in the ground-based optical/IR community, except for the very largest of the publically operated observatories. This was my motivation for compiling and editing the inaugural NOAO Data Handbook, which describes NOAO data products, their processing, and the means to discover and access the data. One chapter covers data from the wide-field Mosaic cameras (the most heavily used instruments); a new chapter on the recently commissioned NEWFIRM IR camera is in preparation. |
![]() NOAO Data Handbook |
|
ADASS: I've been involved with astronomical data systems since 1988: first with NASA's IUE satellite, later with HST, and later still with NOAO. I've been deeply involved in the Astronomical Data Analysis Software and Systems (ADASS) conference, which is the premiere forum for software-intensive systems in astronomy. I spent 15 years on the Program Organizing Committee, and served as chair of that group for 4 years; I also chaired the Local Organizing Committee when ADASS XVI was held in Tucson. |
![]() ADASS 2006: S. Stobie |
Data Management & Curation: Data from most ground-based telescopes are not collected with the intent of providing public access though an archive. Even for NOAO, which aspires to have a public archive of raw (and in some cases, reduced) data, shortcomings in the legacy data taking systems for all but the most recent few instruments greatly complicate any effort to manage the heterogenious, incomplete, and sometimes inaccurate metadata. Since the representation to the community of the Archive holdings via common searches, and the appropriate scientific interpretation of the datasets, requires accurate metadata, I have designed a system of Data Quality Assurance and data remediation for core metadata (see my paper from ADASS 2008 on this topic). Here, "core" means metadata that describe data provenance and pedigree, as well as coverages in the VO-sense: spatial, spectral/bandpass, temporal, and brightness; see my technical report for details. With this restricted set it is possible to validate metadata, and in many cases correct them, using a variety of cross-checks, heuristics, third-party calibration software, etc. If implemented, it would transform the utility of the archive from that of merely protecting PI observations against deletion to that of enabling follow-on science by VO users.
|
LSST: To this day, data systems and archives in even the most sophisticated astronomical observatories are under-appreciated, yet they are becoming more critical to the scientific success of the observatories and the communities they serve. On no project is this more true than the planned Large Synoptic Survey Telescope, which will survey the entire accessible sky roughly once every 3 nights, to a depth of roughly 25th mag. Many Tera-bytes of imaging data will be generated per night (a data volume comparable to the entire Sloan Digital Sky Survey), which will result in several Peta-bytes per year of data, catalogs, and database contents. The bulk of the data management, transport, reduction, calibration, and analysis will have to be fully automated if this project is to succeed. I participate on a team that is designing the Science Data Quality Analysis system, which (as the name implies) measures the realized data quality and the performance of the data management system with respect to expectations and real-time environmental factors. This system will enable evaluation of the observing strategy, the scientific quality of the accumulated data, and progress against the goals of the 10 yr survey. |
![]() LSST Telescope Design |
FITS: With the explosive growth in digital astronomical data, the importance of standards for data interchange and interoperability is greatly magnified. I am a member of the IAU Technical Working Group for the development and curation of the FITS (Flexible Image Transport System) standard. Recently, I was part of a small technical panel to edit and update the standard to FITS v3.0, which is a much more complete, up-to-date, and readable document than its predecessor.
FITS is not the end of the story, of course. Standards for the serialization and exchange of structured data are in an advanced state of development within the International Virtual Observatory Alliance. Structured data, as embodied in VOTables, are routinely by many VO-aware applications in use today. And formalisms for the representation of semantic content (in machine-interpretable form) are in development within the VO and larger scientific communities. I have maintained an ongoing interest in the definition of data and service standards, and expect to participate in their development and use in the years to come.
Dick Shaw, 2008 December