In this paper, we develop a distributed algorithm for monitoring the principal components (PCs) for next generation of astronomy petascale data pipelines such as the Large Synoptic Survey Telescopes (LSST). This telescope will take repeated images of the night sky every 20 s, thereby generating 30 terabytes of calibrated imagery every night that will need to be co-analyzed with other astronomical data stored at different locations around the world. Event detection, classification, and isolation in such data sets may provide useful insights to unique astronomical phenomenon displaying astrophysically significant variations: quasars, supernovae, variable stars, and potentially hazardous asteroids. However, performing such data mining tasks is a challenging problem for such high-throughput distributed data streams. In this paper, we propose a highly scalable and distributed asynchronous algorithm for monitoring the PCs of such dynamic data streams and discuss a prototype web-based system PADMINI (Peer-to-Peer Astronomy Data Mining) which implements this algorithm for use by the astronomers. We demonstrate the algorithm on a large set of distributed astronomical data to accomplish well-known astronomy tasks such as measuring variations in the fundamental plane of galaxy parameters. The proposed algorithm is provably correct (i.e., converges to the correct PCs without centralizing any data) and can seamlessly handle changes to the data or the network. Real experiments performed on Sloan Digital Sky Survey (SDSS) catalogue data show the effectiveness of the algorithm.

"OpenNGC is a database containing positions and main data of NGC (New General Catalogue) and IC (Index Catalogue) objects. Unlike other similar databases which are released with license limitations, OpenNGC is released under CC-BY-SA-4.0 license, which allows the use for a wider range of cases.https://github.com/mattiaverga/OpenNGC Data SourcesOpenNGC has been built by merging data from: NASA/IPAC Extragalactic Database http://ned.ipac.caltech.edu/ This research has made use of the NASA/IPAC Extragalactic Database (NED) which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.HyperLEDA database http://leda.univ-lyon1.fr We acknowledge the usage of the HyperLeda database (http://leda.univ-lyon1.fr)SIMBAD Astronomical Database http://simbad.u-strasbg.fr/simbad/ This research has made use of the SIMBAD database, operated at CDS, Strasbourg, FranceHEASARC High Energy Astrophysics Science Archive Research Center http://heasarc.gsfc.nasa.gov/ We used several databases from HEASARC such as mwsc, lbn, plnebulae, lmcextobj and smcclustrs."

WINGS Data Release: a database of galaxies in nearby clusters

Context. To effectively investigate galaxy formation and evolution, it is of paramount importance to exploit homogeneous data for large samples of galaxies in different environments.

Description is available here: https://www.aanda.org/articles/aa/full_html/2014/04/aa23098-13/aa23098-13.html

The Unified Astronomy Thesaurus (UAT) is an open, interoperable and community-supported thesaurus that unifies the existing Astronomy & Astrophysics thesauri into a single, freely-available open thesaurus for astronomical objects and concepts. These files introduce the UAT and describe the unique combination of conditions that lead to its development, as well as the people, organizations and tools involved in its construction. Because astronomy and astrophysics are fast-moving fields (terms such as 'exoplanets' and 'dark energy' were relatively unknown 10 years ago), the poster will also describe the ways tha t the UAT will leverage expertise from astronomers, physicists and librarians to keep the thesaurus both current and accurate. One of the primary drivers behind the creation of the UAT is the wish to support semantic enrichment of astronomy literature and databases. We anticipate it will be used as a common language across publishers and platforms, to connect articles and data sets. We also hope this unified vocabulary will inspire a new range of cross-silo data sharing. The UAT began as a collaboration between the American Institute of Physics (AIP) and Institute of Physics (IOP), which dona ted their collection astronomy of terms to the AAS. SPIE has also donated their astronomy terms towards the effort. Our plans include providing a community-supported mechanism for reviewing, discussing, and evaluating the continuous evolution of terminology in astronomy and astrophysics. See http://astrothesaurus.org/ for more information.

This FAIRsharing record describes: VizieR is a library of published astronomical catalogues --tables and associated data-- with verified and enriched data, accessible via multiple interfaces. Query tools allow the user to select relevant data tables and to extract and format records matching given criteria. To be deposited within VizieR, data must be related to a publication in a refereed journal, either as tables or catalogues actually published, or as a paper describing the data and their context. VizieR is certified by the CoreTrustSeal. DOI: 10.26093/cds/vizier

This is the archive for "An Atlas of Galaxy Spectral Energy Distributions From The UV to the Mid-Infrared". It contains 3199 files and 31.6GB of data, including images (FITS), spectra (ASCII) and tables (csv). The relevant paper was published in the Astrophysical Journal Supplement Series and is available via http://dx.doi.org/10.1088/0067-0049/212/2/18.We present an atlas of 129 spectral energy distributions for nearby galaxies, with wavelength coverage spanning from the ultraviolet to the mid-infrared. Our atlas spans a broad range of galaxy types, including ellipticals, spirals, merging galaxies, blue compact dwarfs, and luminous infrared galaxies. We have combined ground-based optical drift-scan spectrophotometry with infrared spectroscopy from Spitzer and Akari with gaps in spectral coverage being filled using Multi-wavelength Analysis of Galaxy Physical Properties spectral energy distribution models. The spectroscopy and models were normalized, constrained, and verified with matched-aperture photometry measured from Swift, Galaxy Evolution Explorer, Sloan Digital Sky Survey, Two Micron All Sky Survey, Spitzer, and Wide-field Infrared Space Explorer images. The availability of 26 photometric bands allowed us to identify and mitigate systematic errors present in the data. Comparison of our spectral energy distributions with other template libraries and the observed colors of galaxies indicates that we have smaller systematic errors than existing atlases, while spanning a broader range of galaxy types. Relative to the prior literature, our atlas will provide improved K-corrections, photometric redshifts, and star-formation rate calibrations.

These files are intended for use with the Data Carpentry Foundations of Astronomical Data Science curriculum (https://datacarpentry.org/astronomy-python/). Files will be useful for instructors teaching this curriculum in a workshop setting, as well as individuals working through these materials on their own.

A corpus of articles published between 1997 and 2008 in the four main astronomy journals (The Astrophysical Journal, The Astrophysical Journal Letters, Astronomy & Astrophysics, The Astronomical Journal) which contain external URL links in their full text.

This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Large Synoptic Survey Telescopes (LSST). This telescope will take repeat images of the night sky every 20 seconds, thereby generating 30 terabytes of calibrated imagery every night that will need to be coanalyzed with other astronomical data stored at different locations around the world. Change point detection and event classification in such data sets may provide useful insights to unique astronomical phenomenon displaying astrophysically significant variations: quasars, supernovae, variable stars, and potentially hazardous asteroids. However, performing such data mining tasks is a challenging problem for such high-throughput distributed data streams. In this paper we propose a highly scalable and distributed asynchronous algorithm for monitoring the principal components (PC) of such dynamic data streams. We demonstrate the algorithm on a large set of distributed astronomical data to accomplish well-known astronomy tasks such as measuring variations in the fundamental plane of galaxy parameters. The proposed algorithm is provably correct (i.e. converges to the correct PCs without centralizing any data) and can seamlessly handle changes to the data or the network. Real experiments performed on Sloan Digital Sky Survey (SDSS) catalogue data show the effectiveness of the algorithm.

The National Space Science Data Center serves as the permanent archive for NASA space science mission data. 'Space science' means astronomy and astrophysics, solar and space plasma physics, and planetary and lunar science. As permanent archive, NSSDC teams with NASA's discipline-specific space science 'active archives' which provide access to data to researchers and, in some cases, to the general public. Search by event, spacecraft, experiment, map, or publication query. NSSDC is part of the Solar System Exploration Data Services Office (SSEDSO) in the Solar System Exploration Division at NASA's Goddard Space Flight Center in Greenbelt, MD.

Dataset of 225 dayside magnetopause (MP) current sheet crossings identified by the Paschmann et al. 2018 MMS magnetopause database and previously utilized in Beedle et al. 2022, as well as 26 dayside electron diffusion region (EDR) MP crossings identified by Webster et al. 2018. The 225 dayside MP crossings are referred to as "regular" magnetopause crossings as they represent either crossings of the reconnection exhausts downstream of the diffusion regions, or crossings of the non-reconnection magnetopause. The regular crossings were taken from 4 years of MMS transits from 2015 to 2018 across the dayside magnetopause. These 225 regular crossings include only monotonic, complete magnetopause crossings or clear Harris sheet like events. The regular events were from the MMS magnetopause crossing database created by Goetz Paschmann and Stein Haaland, and further developed by the International Space Science Institute Team 442, “Study of the physical processes in magnetopause and magnetosheath current sheets using a large MMS database” as analyzed in the paper Paschmann et al. 2018. Each of these events, both regular and EDR, were then analyzed using an algorithm that identified their MP current sheet crossings, with the current data recorded stored over each of the crossings. Additionally, we recorded averaged ion and electron data over each respective MP crossing as well.

The radio-X-ray correlation in accretion neutron stars and black holes has been discussed in detail in the literature. BH X-ray binaries (XRBs) show compact partially self-absorbed jet emission in quiescence and in the hard state during outbursts, making them brighter in radio compared to NS LMXBs with similar X-ray luminosities. Since, there have been numerous efforts at further exploring and understanding this correlation. Numerous sources (both known and newly identified) have been observed in radio and X-rays. Here, we have compiled a collection of these measurements from the literature and we actively add new measurements as we notice new publications. This package contains a catalog of radio and X-ray observations of Galactic X-ray binaries as reported in literature.

The Astronomy Picture of the Day (APOD) is a website, jointly provided by NASA and Michigan Technological University (MTU), showcases a unique image or photograph of our universe every day, accompanied by a concise explanation authored by an expert astronomer..

1003 Global import shipment records of Telescope Astronomy with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This dataset consists of photometric maps at five wavelengths: 70, 160, 250, 350 and 500μm, which combined cover the peak of the SED for dust temperatures between 8 ≤ T ≤ 50K. The first suite of Hi-GAL data was released in Spring 2016, covering 68°≥ l ≥ -70° and |b| ≤ 1°, with more data to come in future. The public Hi-GAL DR1 data can be retrieved in 30x30 arcminute cutouts via the database here.

Abstract A WWW interface for the simulation of spectral energy distributions of optically thin dust configurations with an embedded radiative source is presented. The density distribution, radiative source, and dust parameters can be selected either from an internal database or defined by the user. This tool is optimized for studying circumstellar debris disks where large grains ( a grain ≫ 1 μ m ) are expected to determine the far-infrared through millimeter dust reemission spectral energy distributi...

Title of program: Debris Disk Radiative Transfer Simulator (DDS) Catalogue Id: ADVV_v1_0

Nature of problem Simulation of scattered light and thermal reemission in arbitrary optically dust distributions with spherical, homogeneous grains where the dust parameters (optical properties, sublimation temperature, grain size) and SED of the illuminating/ heating radiative source can be arbitrarily defined (example application: Wolf and Hillenbrand 2003). The program is optimized for studying circumstellar debris disks where large grains (i.e., with large size parameters) are expected to determine the far-in ...

Versions of this program held in the CPC repository in Mendeley Data ADVV_v1_0; Debris Disk Radiative Transfer Simulator (DDS); 10.1016/j.cpc.2005.04.014

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

EMERGE Early ALMA Survey: Data release 1 (DR1). Includes: - Tracers: N2H+ (1-0), HNC (1-0), HC3N (10-9), 3mm continuum - IRAM-30m alone: mom0 maps + TK maps - ALMA+IRAM30m: mom0 maps for all intCLEAN, Feather, and MACF reductions See Hacar et al 2024 for a full description.

Astronomy-Data processing is a book subject. It includes 12 books, written by 11 different authors.

This data is the gray scale, number and apparent magnitude data of stars observed by KAI-4021 on the ground. 1. StarMap1 refers to the data when the optical axis points to point to 101.636°for the right ascension, 31.054°for the declination. 2. StarMap2 refers to the data when the optical axis points to point to 106.778°for the right ascension, 31.068°for the declination. 3. StarMap3 refers to the data when the optical axis points to point to 112.501°for the right ascension, 31.069°for the declination. 4. StarMapi.track_num refers to the number of navigation stars in the image. 5. StarMapi.Mag refers to the apparent magnitude. 6. StarMapi.win_info refers to the 8*8 gray data of each star in the image. 7. StarMapi.ID_frm refers refers to the number of each star in our catalogue.

Please note: this is a reposting of the data set available at https://icecube.wisc.edu/data-releases/2021/01/all-sky-point-source-icecube-data-years-2008-2018/ IceCube has performed several searches for point-like sources of neutrinos. The events contained in this release make up the sample used in IceCube’s 10-year time-integrated neutrino point source search . Events in the sample are track-like neutrino candidates detected by IceCube between April 2008 and July 2008. The data contained in this release of IceCube’s point source sample shows 3.3σ evidence of a cumulative excess of events from a catalogue of 110 potential sources, primarily driven by four sources (NGC 1068, TXS 0506+056, PKS 1424+240, and GB6 J1542+6129). NGC 1068 gives the largest excess and appears in spatial coincidence with the hottest spot in the full Northern sky search. IceCube’s 10-year neutrino point source event sample includes updated processing for events between April 2012 and May 2015, leading to differences in significances of some sources, including TXS 0506+056. For more information, please refer to [2]. This release contains data beginning in 2008 (IC40) until the spring of 2018 (IC86-VII). In order to standardize the release format of IceCube’s point source candidate events, this release duplicates and supplants previously released data from 2012 and earlier. Events from this release cannot be combined with other IceCube public data releases. Data files * Read Me: A file describing each field of the data, uptime, and tabulated response files. * The “events” subfolder contains the events observed in the 10-year sample of IceCube’s point source neutrino selection. Each file corresponds to a single season of IceCube data taking, including roughly one year of data. For each event, reconstructed particle information is included. * In order to properly account for detector uptime, IceCube maintains “good run lists,” These contain information about “good runs,” periods of data taking useful for analysis. Data may be marked unusable for various reasons, including major construction or upgrade work, calibration runs, or other anomalies. The “uptime” subfolder contains lists of the good runs for each season. *In order to best model the response of the IceCube detector to a given signal, Monte Carlo simulations are produced for each detector configuration. Events are sampled from these simulations to model the response of point sources from an arbitrary source and spectrum. We provide both tabulated effective areas and smearing matrices (covering reconstructed energy, direction, and angular uncertainty) in the “irfs” subfolder for each season. Notes: This data set was created by IceCube in searches for neutrino point sources and is not intended for use in diffuse astrophysical spectral analyses. For any questions about this data release, please write to data@icecube.wisc.edu