- ID:
- ivo://org.gavo.dc/lamost5/q/ssa
- Title:
- LAMOST DR5 survey spectra
- Short Name:
- LAMOST DR5 SSAP
- Date:
- 13 May 2024 15:44:08
- Publisher:
- The GAVO DC team
- Description:
- This services provides 1D spectra from DR5 of LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope) through SSAP; data is served both in VO-standard SDM and, via datalink, the original SDSS-inspired FITS described in http://dr5.lamost.org/doc/data-production-description .
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- ID:
- ivo://org.gavo.dc/lightmeter/q/weather
- Title:
- Light Pollution Weather
- Short Name:
- lm weather
- Date:
- 13 May 2024 14:10:41
- Publisher:
- The GAVO DC team
- Description:
- We give continuous night and day light measurements at all natural outdoor light levels by a network of low-cost lightmeters. Developed to start simple, global continuous high cadence monitoring of night sky brightness and artificial night sky brightening (light pollution) in 2009. The lightmeter network is a project of the Thüringer Landessternwarte, Tautenburg, Germany and the Kuffner-Sternwarte society at the Kuffner-Observatory, Vienna, Austria. It started as part of the Dark Skies Awareness cornerstone of the International Year of Astronomy.
- ID:
- ivo://org.gavo.dc/rr/q/create
- Title:
- GAVO RegTAP Service
- Short Name:
- RegTAP mirror
- Date:
- 13 May 2024 11:32:45
- Publisher:
- The GAVO DC team
- Description:
- Tables containing the information in the IVOA Registry. To query these tables, use `our TAP service`_. For more information and example queries, see the `RegTAP specification`_. .. _our TAP service: /__system__/tap/run/info .. _RegTAP specification: http://www.ivoa.net/documents/RegTAP/
4. Herschel TAP
- ID:
- ivo://esavo/hsa/tap
- Title:
- Herschel TAP
- Short Name:
- Herschel
- Date:
- 11 May 2024 18:45:17
- Publisher:
- European Space Agency
- Description:
- This service provides access to observations and catalogs from the ESA Herschel Space Observatory mission hosted at the ESAC Science Data Centre
- ID:
- ivo://fai.kz/spectra_agn_archive/q/ssa
- Title:
- Archive of AGN spectral observations
- Short Name:
- spectra_agn_archive SSAP
- Date:
- 10 May 2024 09:28:03
- Publisher:
- Fesenkov Astrophysical Institute
- Description:
- The archive of AGN spectral observations is obtained on AZT-8 telescope at the Fesenkov Astrophysical Institute (FAI), Almaty, Kazakhstan. It represents the result of observations for abot 25 years - from 1970 to 1995. All observations were carried out at AZT-8 (D = 700 mm, F[main] = 2800 mm, F[Cassegrain] = 11000 mm) with a high-power spectrograph. In 1967-68, on the basis of the image intensifier (https://doi.org/10.1080/1055679031000084795a) developed and assembled the spectrograph of the original design in the workshops of the FAI. To use the spectra, please, download raw .fit file of required object, date and exposure. The open 'Calibration frames' in Related links and then use them to calibrate object spectra frames. For more information about calibration process please visit https://github.com/ill-i/Spectra-Reduction.
- ID:
- ivo://nasa.heasarc/aavsovsx
- Title:
- AAVSO International Variable Star Index
- Short Name:
- AAVSOVSX
- Date:
- 10 May 2024
- Publisher:
- NASA/GSFC HEASARC
- Description:
- This database table contains Galactic stars known or suspected to be variable. It lists all stars that have an entry in the American Association of Variable Star Observers' (AAVSO) International Variable Star Index (VSX; <a href="http://www.aavso.org/vsx">http://www.aavso.org/vsx</a>). It consisted initially of the General Catalogue of Variable Stars (GCVS) and the New Catalogue of Suspected Variables (NSV) and was then supplemented with a large number of variable star catalogues, as well as individual variable star discoveries or variables found in the literature. Effort has also been invested to update the entries with the latest information regarding position, type and period and to remove duplicates. The VSX database is being continually updated and maintained. For historical reasons some objects outside of the Galaxy have been included. This table was created by the HEASARC based on the <a href="https://cdsarc.cds.unistra.fr/ftp/cats/B/vsx">CDS catalog B/vsx</a>. The CDS updates it regularly, and this HEASARC version is accordingly updated within a week of such updates. This is a service provided by NASA HEASARC .
- ID:
- ivo://nasa.heasarc/abell
- Title:
- Abell Clusters
- Short Name:
- Abell
- Date:
- 10 May 2024
- Publisher:
- NASA/GSFC HEASARC
- Description:
- The ABELL database contains information from a catalog of clusters of galaxies, each having at least 30 members within the magnitude range m3 to m3+2 (m3 is the magnitude of the third brightest cluster member) and each with a nominal redshift less than 0.2. The database contains the revised Northern Abell catalog, the Southern Abell catalog, and the Supplementary Southern Abell catalog; the catalogs are published as tables 3, 4 and 5 of Abell, Corwin & Orowin (1989). This database table was created by J. Osborne of Leicester from the STADAT SCAR file abelb.dat. The original SCAR version was created by Diana Parsons on 12 March 1990. This is a service provided by NASA HEASARC .
- ID:
- ivo://nasa.heasarc/abellzcat
- Title:
- Abell Clusters Measured Redshifts Catalog
- Short Name:
- ABELLZCAT
- Date:
- 10 May 2024
- Publisher:
- NASA/GSFC HEASARC
- Description:
- The all-sky ACO (Abell, Corwin and Olowin 1989, ApJS, 70, 1) Catalog of 4073 rich clusters of galaxies and 1175 southern poor or distant S-clusters has been searched for published redshifts. Data for 1059 of them were found and classified into various quality classes, e.g. to reduce the problem of foreground contamination of redshifts. Taking the ACO selection criteria for redshifts, a total of 992 entries remain, 21 percent more than ACO. Redshifts for rich clusters are now virtually complete out to a redshift z of 0.05 in the north and of 0.04 in the south. In the north, the magnitude-redshift (m_10 - z) relation agrees with that of Kalinkov et al. (1985, Astr. Nachr., 306, 283). For the southern rich clusters, minor adjustments to the m_10 - z relation of ACO are suggested, while for the S-clusters the redshifts are about 30 percent lower than estimated. This table was created by the HEASARC in May 2010 based on <a href="https://cdsarc.cds.unistra.fr/ftp/cats/VII/165A">CDS Catalog VII/165A</a> file catalog.dat. This is a service provided by NASA HEASARC .
- ID:
- ivo://nasa.heasarc/actmadcows
- Title:
- ACT Massive and Distant Clusters of WISE Survey (MaDCoWS) Candidates Catalog
- Short Name:
- ACTMADCOWS
- Date:
- 10 May 2024
- Publisher:
- NASA/GSFC HEASARC
- Description:
- Galaxy clusters are an important tool for cosmology, and their detection and characterization are key goals for current and future surveys. Using data from the Wide-field Infrared Survey Explorer (WISE), the Massive and Distant Clusters of WISE Survey (MaDCoWS) located 2839 significant galaxy overdensities at redshifts 0.7 <= z <= 1.5, which included extensive follow-up imaging from the Spitzer Space Telescope to determine cluster richnesses. Concurrently, the Atacama Cosmology Telescope (ACT) has produced large area millimeter-wave maps in three frequency bands along with a large catalog of Sunyaev-Zel'dovich (SZ)-selected clusters as part of its Data Release 5 (DR5). The authors aimed to verify and characterize MaDCoWS clusters using measurements of, or limits on, their thermal SZ effect signatures. They also used these detections to establish the scaling relation between SZ mass and the MaDCoWS-defined richness. Using the maps and cluster catalog from DR5, the authors explore the scaling between SZ mass and cluster richness. They do this by comparing cataloged detections and extracting individual and stacked SZ signals from the MaDCoWS cluster locations. The authors use complementary radio survey data from the Very Large Array, submillimeter data from Herschel, and ACT 224GHz data to assess the impact of contaminating sources on the SZ signals from both ACT and MaDCoWS clusters. They use a hierarchical Bayesian model to fit the mass-richness scaling relation, allowing for clusters to be drawn from two populations: one, a Gaussian centered on the mass-richness relation, and the other, a Gaussian centered on zero SZ signal. This study found that MaDCoWS clusters have submillimeter contamination that is consistent with a gray-body spectrum, while the ACT clusters are consistent with no submillimeter emission on average. Additionally, the intrinsic radio intensities of ACT clusters are lower than those of MaDCoWS clusters, even when the ACT clusters are restricted to the same redshift range as the MaDCoWS clusters. The authors found the best-fit ACT SZ mass versus MaDCoWS richness scaling relation has a slope of p1=1.84<sub>-0.14</sub><sup>+0.15</sup>, where the slope is defined as M ~lambda<sub>15</sub><sup>p1</sup> and lambda<sub>15</sub> is the richness. They also found that the ACT SZ signals for a significant fraction (~57%) of the MaDCoWS sample can statistically be described as being drawn from a noise-like distribution, indicating that the candidates are possibly dominated by low-mass and unvirialized systems that are below the mass limit of the ACT sample. Further, the authors noted that a large portion of the optically confirmed ACT clusters located in the same volume of the sky as MaDCoWS were not selected by MaDCoWS, indicating that the MaDCoWS sample is not complete with respect to SZ selection. Finally, the authors found that the radio loud fraction of MaDCoWS clusters increases with richness, while they found no evidence that the submillimeter emission of the MaDCoWS clusters evolved with richness. The authors concluded that the original MaDCoWS selection function is not well defined and, as such, reiterated the MaDCoWS collaboration's recommendation that the sample is suited for probing cluster and galaxy evolution, but not cosmological analyses. They found a best-fit mass-richness relation slope that agrees with the published MaDCoWS preliminary results. Additionally, they concluded that, while the approximate level of infill of the ACT and MaDCoWS cluster SZ signals (1-2%) is subdominant to other sources of uncertainty for current generation experiments, characterizing and removing this bias will be critical for next-generation experiments hoping to constrain cluster masses at the sub-percent level. This table was created by the HEASARC in April 2022 based upon the link provided by the LAMBDA archive: <a href="https://lambda.gsfc.nasa.gov/product/act/actpol_madcows_cl_catalog_get.html">https://lambda.gsfc.nasa.gov/product/act/actpol_madcows_cl_catalog_get.html</a>. This is a service provided by NASA HEASARC .
- ID:
- ivo://nasa.heasarc/aegisx
- Title:
- AEGIS-X Chandra Extended Groth Strip X-Ray Point Source Catalog
- Short Name:
- AEGISX
- Date:
- 10 May 2024
- Publisher:
- NASA/GSFC HEASARC
- Description:
- This table contains the X-ray sources detected in the AEGIS-X survey, a series of deep Chandra ACIS-I observations of the Extended Groth Strip (EGS). The survey comprises pointings at eight separate positions, each with nominal exposure of 200 ks, covering a total area of approximately 0.67 deg<sup>2</sup> in a strip of length 2 degrees. In their paper, the authors describe in detail an updated version of the data reduction and point-source-detection algorithms used to analyze these data. A total of 1325 band-merged sources have been found to a Poisson probability limit of 4 x 10<sup>-6</sup>, with limiting fluxes of 5.3 x 10<sup>-17</sup> erg cm<sup>-2</sup> s<sup>-1</sup> in the soft (0.5 - 2 keV) band and 3.8 x 10<sup>-16</sup> erg cm<sup>-2</sup> s<sup>-1</sup> in the hard (2 - 10 keV) band. They present simulations verifying the validity of their source-detection procedure and showing a very small, <1.5%, contamination rate from spurious sources. Optical/NIR counterparts have been identified from the DEEP2, CFHTLS, and Spitzer/Infrared Array Camera (IRAC) surveys of the same region. Using a likelihood ratio method, they find optical counterparts for 76% of their sources, complete to R<sub>AB</sub> = 24.1, and, of the 66% of the sources that have IRAC coverage, 94% have a counterpart to a limit of 0.9 uJy at 3.6 um (m<sub>AB</sub> = 23.8). After accounting for (small) positional offsets in the eight Chandra fields, the astrometric accuracy of Chandra positions is found to be 0.8 arcseconds rms; however, this number depends both on the off-axis angle and the number of detected counts for a given source. This table was created by the HEASARC in February 2009 based on the electronic versions of Tables 9, 10 and 11 from the paper which were obtained from the Astrophysical Journal web site. It is also available from the CDS at <a href="https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/180/102">https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/180/102</a>. This is a service provided by NASA HEASARC .