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- ID:
- ivo://CDS.VizieR/II/156A
- Title:
- IRAS Faint Source Catalog, |b| > 10, Version 2.0
- Short Name:
- II/156A
- Date:
- 21 Oct 2021
- Publisher:
- CDS
- Description:
- The Faint Source Survey (FSS) is the definitive Infrared Astronomical Satellite data set for faint point sources. The FSS was produced by point-source filtering the individual detector data streams and then coadding those data streams using a trimmed-average algorithm. The resulting images, or plates, give the best estimate from the IRAS survey data of the point source flux density at every surveyed point of the sky. The Faint Source Catalog (FSC) is a compilation of the sources extracted from the FSS plates that have met reasonable reliability requirements. Averaged over the whole catalog, the FSC is at least 98.5% reliable at 12 and 25 microns, and ~94% at 60 microns. For comparison, the IRAS Point Source Catalog (PSC) is >99.997% reliable, but the sensitivity of the FSC exceeds that of the PSC by about a factor of 2.5. The FSC contains data for 173,044 point sources in unconfused regions with flux densities typically above 0.2 Jy at 12, 25, and 60 microns, and above 1.0 Jy at 100 microns. The FSS plates are somewhat more sensitive but less reliable than the FSC; typically, only sources with SNR>5-6 in the plates are contained in the FSC. Sources with SNR>3 but which do not meet the reliability requirements of the FSC are catalogued in the Faint Source Reject File (FSR, Cat. II/275). The data products, the processing methods used to produce them, results of an analysis of these products, and cautionary notes are given in the Explanatory Supplement to the IRAS Faint Source Survey (see references in fsc.txt).
- ID:
- ivo://CDS.VizieR/II/275
- Title:
- IRAS Faint Source Reject Catalog
- Short Name:
- II/275
- Date:
- 21 Oct 2021
- Publisher:
- CDS
- Description:
- The Faint Source Reject Catalog contains 593,516 sources rejected for inclusion in the Faint Source Catalog (Cat. II/156) because they failed to meet one or more of the criteria established to ensure the reliability of the FSC. The REJECTED sources in the FSR are either in confused regions of the sky, or in areas with |b|<10-20{deg}, or were detected only in a single band with a signal-to-noise ratio of 3-6. The FSR also includes sources from areas of the sky covered by fewer than six detector passes, and sources contaminated by or caused by cometary debris trails. The files described here contain selected columns from the original Faint Source Reject IRAS catalogue; the full set is available as a ascii FITS table. In the descriptions below, the original names of the columns are added at the end of the explanations of each column.
- ID:
- ivo://CDS.VizieR/J/A+AS/129/363
- Title:
- IRAS flux densities of S stars
- Short Name:
- J/A+AS/129/363
- Date:
- 21 Oct 2021
- Publisher:
- CDS
- Description:
- It is the purpose of this paper to rediscuss the circumstellar properties of S stars and to put these properties in perspective with our current understanding of the evolutionary status of S stars, in particular the intrinsic/extrinsic dichotomy. This dichotomy states that only Tc-rich ("intrinsic") S stars are genuine thermally-pulsing asymptotic giant branch stars, possibly involved in the M-S-C evolutionary sequence. Tc-poor S stars are referred to as "extrinsic" S stars, because they are the cooler analogs of barium stars, and like them, owe their chemical peculiarities to mass transfer across their binary system. Accordingly, an extensive data set probing the circumstellar environment of S stars (IRAS flux densities, maser emission, CO rotational lines) has been collected and critically evaluated. This data set combines new observations (9 stars have been observed in the CO J=2-1 line and 3 in the CO J=3-2 line, with four new detections) with existing material (all CO and maser observations of S stars published in the literature). The IRAS flux densities of S stars have been re-evaluated by co-adding the individual scans, in order to better handle the intrinsic variability of these stars in the IRAS bands, and possible contamination by Galactic cirrus.
- ID:
- ivo://CDS.VizieR/VII/185
- Title:
- IRAS 1.2 Jy IRAS Redshift Survey
- Short Name:
- VII/185
- Date:
- 21 Oct 2021
- Publisher:
- CDS
- Description:
- This is an explanation of the redshift survey of Fisher, Huchra, Strauss, Davis, Yahil and Schlegel; the data set is described in full in ApJ 361, 49 (1990). The data for the brighter half are included in ApJ Supp 1992, 83, 29; the data for the fainter half are included in a paper submitted for publication to the Astrophysical Journal Supplement. The survey contains 9897 objects selected from the IRAS database according to the criteria listed in that paper, briefly: F60 > 1.2 Jy; F60^2^ > F12 f25; |b| > 5; high source density flag at 60 microns not raised. Thus, the file consists of both galaxies and Galaxian contaminants; this is explained below. The sample contains ~5320 galaxies, and 14 objects without id's at the present time.
- ID:
- ivo://CDS.VizieR/J/ApJS/143/277
- Title:
- IRAS 1Jy sample of ultraluminous galaxies. I.
- Short Name:
- J/ApJS/143/277
- Date:
- 21 Oct 2021
- Publisher:
- CDS
- Description:
- An imaging survey of the IRAS 1Jy sample of 118 ultraluminous infrared galaxies was conducted at optical (R) and near-infrared (K') wavelengths using the University of Hawaii 2.2 m telescope. The methods of observation and data reduction are described. An R and K' atlas of the entire sample is presented along with some of the basic astrometric and photometric parameters derived from these images. A more detailed analysis of these data is presented in a companion paper (Veilleux et al., 2002, Cat. <J/ApJS/143/315>).
- ID:
- ivo://CDS.VizieR/II/190
- Title:
- IRAS Minor Planet Survey (IMPS)
- Short Name:
- II/190
- Date:
- 21 Oct 2021
- Publisher:
- CDS
- Description:
- The IRAS Minor Planet Survey (1992) supplements the asteroid data given in the IRAS Asteroid and Comet Survey (1986; catalog <VII/91>); comets are not included in IMPS. All asteroids with reasonably well-known orbits as of December 1990 are covered. In particular, IMPS updates the processing of asteroids numbered 1 through 3318 and extends this processing to asteroid number 4679 plus 2,632 asteroids with preliminary (two or more opposition) orbits. IMPS processed only IRAS survey observations; Low Resolution Spectrometer, Serendipitous, and Additional Observations data were not processed.
- ID:
- ivo://CDS.VizieR/J/ApJ/397/520
- Title:
- IRAS observations in Cr A
- Short Name:
- J/ApJ/397/520
- Date:
- 21 Oct 2021
- Publisher:
- CDS
- Description:
- We present an analysis of IRAS data for a 57pc^2^ area of the nearby Corona Australis dark cloud complex. A total of 79 far-infrared sources are detected at 12{mu}m or in at least three IRAS bands. Combining these data with both newly obtained and previously published optical/infrared data, a total of 16 IRAS sources are identified with young stellar objects which are in close proximity to the R Coronae Australis cloud or Rossano Cloud B. Among these objects is a cold, heavily obscured young stellar object, IRAS 32, which radiates only in the 25-100{mu}m bands and is found to be associated with an extended near-infrared nebula. The majority of the remaining 63 IRAS sources in our sample appear to be related to field stars. A total of 24 young stellar objects are now known to be associated with the Cr A cloud and we investigate their collective properties through analysis of their spectral energy distributions. As observed for embedded populations in other dark clouds, the shapes of the spectral energy distributions constitute a nearly continuous sequence from cold, heavily obscured objects (extreme Class I) to T Tauri stars (Class II), with about equal numbers of Class I and Class II sources. There is a hint of a segregation of the shapes of the spectral energy distributions with source luminosity: eight of nine sources with L>1.8L_{sun}_ display Class I or flat energy distributions. We conclude that star formation in the Cr A cloud has proceeded in a manner similar to that in the rho Ophiuchi cloud in terms of duration and efficiency. We attribute the relatively low number of young stellar objects in Cr A to its lower mass of both low-density and high-density molecular gas. The luminosity function of the Cr A sources is unique only by the presence of six intermediate-luminosity (~100L_{sun}_) objects. Either the cloud has formed intermediate-mass stars more efficiently than lower mass objects relative to other dark clouds or several of these objects are interlopers.
- ID:
- ivo://CDS.VizieR/II/274
- Title:
- IRAS Point Source Reject Catalog
- Short Name:
- II/274
- Date:
- 21 Oct 2021
- Publisher:
- CDS
- Description:
- This is a catalog of 372,774 potential infrared point sources that failed one or more of the confirmation and confusion criteria and were not, thus, included in the IRAS Point Source Catalog (Cat. II/125). These REJECTED sources include spurious objects (e.g., processing failures, space debris, asteroids and comets) and celestial sources that, due to incompleteness at faint levels or to variability, failed to achieve the minimum criterion of two hours-confirmed sightings. In regions of high source density the catalog includes sources rejected by the more severe criteria for reliability applied there. For detailed description about the IRAS mission and catalogues, see also http://lambda.gsfc.nasa.gov/product/iras/docs/exp.sup/toc.html
- ID:
- ivo://CDS.VizieR/II/338
- Title:
- IRAS PSC/FSC Combined Catalogue
- Short Name:
- II/338
- Date:
- 21 Oct 2021
- Publisher:
- CDS
- Description:
- Optical identifications of a few thousands of IRAS sources showed that IRAS Point Source and IRAS Faint Source catalogues (PSC and FSC, respectively) contain many quasars and active galactic nuclei, late-type stars, planetary nebulae, variables, etc. To increase the efficiency of using IRAS PSC and FSC, which contain a lot of common sources, one needs a joint catalogue of all IRAS point sources with improved data based on both catalogues. However, cross-correlation of the catalogues is not so easy, as the association of many sources is relative, and not always it is obvious, whose source from one catalogue corresponds to the other one in the second catalogue. This problem exists in case of using standard cross-correlation tools. Therefore, we have created a tool for cross-matching astronomical catalogues and we have applied it to IRAS PSC and FSC. Using this tool we have carried out identifications with a search radius corresponding to 3-{sigma} of errors for each source individually rather than a standard radius for all sources. As a result, we obtained 73,770 associations. In addition, we have made cross-correlations with AKARI-IRC, AKARI-FIS and WISE catalogues. We created a catalogue of 345,163 IRAS sources with high positional accuracy and with 17 photometric measurements from 1.25 to 160 ?m range, providing a detailed catalogue for IRAS point sources.
