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Dataset results
18 results for “radio galaxies”
Data for "Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey using Deep Learning Combined with Visual Inspection"
<p>The data are the full versions of tables that will be published in the manuscript titled "Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey using Deep Learning Combined with Visual Inspection" by The Astrophysical Journal Supplement Series.</p> <p>The table file named "FIRST_bt_table1.csv" is the full table for "A catalog of 4876 BTRGs identified from VLA FIRST survey". </p> <p>The table file named "FIRST_bt_table2.csv" is the full table for "Cluster details for BTRGs". </p>
Properties of flat-spectrum radio-loud Narrow-Line Seyfert 1 Galaxies
<p>Numerical tables of the Spectral Energy Distributions (SEDs) of Figs. 8-13 of the paper http://arxiv.org/abs/1409.3716v2</p>
FRGADB - FIRST Radio Galaxy Anomaly Detection Benchmark
<p>This dataset is a combination of samples from the MiraBest, FRGMRC and LRG catalogues. It is intended to serve as a benchmark for models' performance with respect to anomalous source detection in radio astronomy.</p>
FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue
<p>FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue - Version 1.0</p> <p>Brand et al. 2023 - <a href="https://ui.adsabs.harvard.edu/abs/2023MNRAS.522..292B/abstract">https://ui.adsabs.harvard.edu/abs/2023MNRAS.522..292B/abstract</a></p>
Radio Galaxy Zoo: Tagging Radio Subjects using Text
<p>RadioTalk is a communication platform that enabled members of the Radio Galaxy Zoo (RGZ) citizen science project to engage in discussion threads and provide further descriptions of the radio subjects they were observing in the form of tags and comments. It contains a wealth of auxiliary information which is useful for the morphology identification of complex and extended radio sources. In this paper, we present this new dataset, and for the first time in radio astronomy, we combine text and images to automatically classify radio galaxies using a multi-modal learning approach. We found incorporating text features improved classification performance which demonstrates that text annotations are rare but valuable sources of information for classifying astronomical sources, and suggests the importance of exploiting multi-modal information in future citizen science projects. We also discovered over 10,000 new radio sources beyond the RGZ-DR1 catalogue in this dataset.</p>
Reproduction package for "ClG 0217+70: A massive merging galaxy cluster with a large radio halo and relics"
<p>This is the reproduction package for "ClG 0217+70: A massive merging galaxy cluster with a large radio halo and relics", which has been accepted for publication in A&A.</p> <p>To use this package, please read the README.</p> <p>This package is tested in an environment that contains:</p> <ul> <li>SPEX v3.06</li> <li>CIAO v4.12</li> <li>python 3.6.5 <ul> <li>numpy 1.14.3</li> <li>astropy 3.0.2</li> <li>astroquery 0.4</li> <li>scipy 1.1.0</li> <li>matplotlib 2.2.2</li> </ul> </li> </ul>
The Discovery of 63 Giant Radio Galaxies in FIRST using DRAGN-hunter
<p>A catalog of 63 giant radio galaxies (GRGs) identified in the FIRST survey using the DRAGN-hunter algorithm. Included here are the table of GRGs (in votable format; described below) and a tarball containing images for all 63 sources. These images consist of radio contours from FIRST overlaid on grz optical images from LS DR9, with the position of the identified host marked by a green circle.</p><p> </p><p><i><strong>Table description</strong></i><br><br><i>Columns [unit]:</i></p><ul><li><strong>Name,</strong> Name of the host galaxy (1)</li><li><strong>RAJ2000</strong> [deg], R.A. of the host galaxy</li><li><strong>DEJ2000</strong> [deg], Decl. of the host galaxy</li><li><strong>rmag</strong> [mag], r-band magnitude of the host galaxy</li><li><strong>z</strong>, Redshift of the host galaxy</li><li><strong>zType</strong>, Photometric or spectroscopic redshift (2)</li><li><strong>SFIRST</strong> [mJy], Flux density in FIRST</li><li><strong>logLFIRST</strong> [W/Hz], log10 of 1.4GHz luminosity</li><li><strong>LAS</strong> [arcsec], Largest Angular Size</li><li><strong>LLS</strong> [Mpc], Largest Linear Size (3)</li></ul><p><i>Notes:</i></p><ol><li>uncertain hosts are chosen to yield the lower of several possible redshifts; SDSS J010931.12-023723.8 is the central of three potential host galaxies at similar redshifts and blended into WISEA J010930.98-023722.0<br> </li><li>p = photometric redshift from 2022MNRAS.512.3662D<br>s = spectroscopic redshift from SDSS DR16 (2020ApJS..249....3A)<br> </li><li>based on H_0_=70 km/s/Mpc, Omega_m_=0.3, Omega_Lambda_=0.7<br><br> </li></ol>
Appendix Figures B.1–B.7 from the article 'Core Prominence as a Signature of Restarted Jet Activity in the LOFAR Radio-Galaxy Population' (Accepted for publication in the journal Astronomy & Astrophysics on August 23, 2024)
<p><strong>Figure captions:</strong></p> <p> </p> <p><strong>Figs. B.1–B.5.</strong> Images of 69 candidate restarted galaxies selected based on high radio $\mathrm{CP_{1400}}$ combined with low SB of extended emission, a steep spectrum of the core, and USS extended emission coupled with a bright core and summarised in Tables A.1 and A.2. Radio contours from VLA FIRST maps (white, $5^{\prime\prime}$), LOFAR high-resolution maps (black, $6^{\prime\prime}$), and NVSS maps (purple, $45^{\prime\prime}$) are overlaid on the LOFAR low-resolution resolution maps (orange, $20^{\prime\prime}$). The contouring of all the maps is made at $\,\sigma_\mathrm{local}\times(-3,3,5,10,20,30,40,50,100,150,200)$ levels, with $\sigma_\mathrm{local}$ representing the local RMS noise of the corresponding maps. The host galaxy position is marked with a yellow cross.</p> <p> </p> <p><strong>Figs. B.6–B.7. </strong>Images of sources excluded from the sample of restarted candidates following the criteria discussed in Sect. 3.1, Sect. 3.2 and Sect. 3.3 and summarised in Tables A.3 and A.4. Radio contours from VLA FIRST maps (white, $5^{\prime\prime}$), LOFAR high-resolution maps (black, $6^{\prime\prime}$), and NVSS maps (purple, $45^{\prime\prime}$) are overlaid on the LOFAR low-resolution resolution maps (orange, $20^{\prime\prime}$). The contouring of all the maps is made at $\,\sigma_\mathrm{local}\times(-3,3,5,10,20,30,40,50,100,150,200)$ levels, with $\sigma_\mathrm{local}$ representing the local RMS noise of the corresponding maps. The host galaxy position is marked with a yellow cross.</p> <p> </p>
The circulation of relativistic electrons injected by radio galaxies in galaxy groups
<p>Remote talk describing the latest simulations on the injection, propagation and energy evolution of relativistic electrons released into the intracluster/group medium by the activity of radio galaxies.</p> <p>Based on these publications:</p> <p>https://ui.adsabs.harvard.edu/abs/2023A%26A...669A..50V/abstract</p> <p>https://ui.adsabs.harvard.edu/abs/2021A%26A...653A..23V/abstract</p>
Checkpoints for Morphological Classification of Radio Galaxies with wGAN-supported Augmentation
<p>Checkpoint for the Generator Model described in https://github.com/floriangriese/wGAN-supported-augmentation</p>
What distinguishes the host galaxies of radio-loud and radio-quiet AGNs?
<p>Data tables with the physical parameters for the RL and RQ samples defined in the paper.</p>
RGC-Bent: A Novel Dataset for Bent Radio Galaxy Classification
<p>RGC-BENT is a new machine learning dataset for classifying bent radioactive galactic nuclei (AGN) into Narrow-Angle Tail (NAT) and Wide-Angle Tail (WAT) categories. Derived from a recognized radio astronomy survey, this dataset provides images and benchmark results from state-of-the-art deep learning models. <strong>Detailed data processing steps are described in the accompanying publication.</strong> This dataset aims to advance research in bent AGN classification.</p>
Radio Galaxy Zoo Data Release 1
<p>We present the first data release of Radio Galaxy Zoo, an online citizen science project that enlists the help of citizen scientists to cross-match extended radio sources from the Faint Images of the Radio Sky at Twenty Centimeters (FIRST) and the Australia Telescope Large Area Survey (ATLAS) surveys, often with complex structure, to host galaxies in $3.6\,\mu$m infrared images from the {\em{Wide-field Infrared Survey Explorer}} (WISE) and the {\em{Spitzer Space Telescope}}. This first data release consists of 100,185 classifications for 98,559 radio sources from the FIRST survey and 582 radio sources from the ATLAS survey. As such, there are radio sources for which more than one classification is listed. We include two tables for each of the FIRST and ATLAS surveys: 1) the identification of all components making up each radio source; and 2) the cross-matched host galaxies. These classifications have an average reliability of 0.83 based on the weighted consensus levels of our citizen scientists. Please refer to the RGZ Data Release 1 paper by Wong et al 2024 for more details.</p>
1864 radio variable galaxies with classifications for activity types.
<p>1864 radio variable galaxies with classifications for activity types.</p>
The dispersion measure and rotation measure from fast radio burst host galaxies based on the TNG50 simulation
<p>Supplementary data to the paper "The dispersion measure and rotation measure from fast radio burst host galaxies based on the TNG50 simulation" accepted at A&A.</p> <p>The public TNG50 simulation data of the IllustrisTNG project are obtained through the website: https://www.tng-project.org/data/</p> <p>We placed a total of 16.5 million FRBs in 16 500 TNG50 galaxies at redshifts of 0<z<2, with stellar masses in the range 9<log(M*/M_sun)<12. We calculated the DM and RM host galaxy values, which we publish together with the galaxy IDs in TNG50, positions of the FRBs, galaxy inclinations, and the electron density and gas density at the position of the FRBs.</p>
Chandra COSMOS Radio-Selected Star-Forming Galaxies and AGN Catalog
X-ray surveys contain sizable numbers of star-forming galaxies, beyond the AGN which usually make up the majority of detections. Many methods to separate the two populations are used in the literature, based on X-ray and multi-wavelength properties. The authors aim at a detailed test of the classification schemes and to study the X-ray properties of the resulting samples. They build on a sample of galaxies selected at 1.4 GHz in the VLA-COSMOS survey, classified by Smolcic et al. (2008, ApJS, 177, 14) according to their optical colors and also observed by Chandra. A similarly selected control sample of AGN is also used for comparison. The authors review some X-ray based classification criteria and check how they affect the sample composition. The efficiency of the classification scheme devised by Smolcic et al. (2008) is such that ~30% of composite/misclassified objects are expected because of the higher X-ray brightness of AGN with respect to galaxies. The latter fraction is actually 50% in the X-ray detected sources, while it is expected to be much lower among X-ray undetected sources. Indeed, the analysis of the stacked spectrum of undetected sources shows, consistently, strongly different properties between the AGN and galaxy samples. X-ray based selection criteria are then used to refine both samples. The radio/X-ray luminosity correlation for star-forming (SF) galaxies is found to hold with the same X-ray/radio ratio valid for nearby galaxies. Some evolution of the ratio may be possible for sources at high redshift or high luminosity, though it is likely explained by a bias arising from the radio selection. Finally, in their paper the authors discuss the X-ray number counts of star-forming galaxies from the VLA- and C-COSMOS surveys according to different selection criteria, and compare them to the similar determination from the Chandra Deep Fields. The classification scheme proposed here may find application in future works and surveys. This table contains the catalogs of radio-selected SF- and AGN-candidate sources with an X-ray detection in C-COSMOS which were contained in Tables 2 and 3 of the reference paper, respectively. The HEASARC has merged these into a single table, adding a new parameter sample which is set to 'SFG' for radio-selected SF-candidate sources from Table 2 and to 'AGN' for the AGN-candidate sources from Table 3. This table was created by the HEASARC in June 2012 based on CDS table J/A+A/542/A16 files table2.dat and table3.dat. This is a service provided by NASA HEASARC .
FIRST Catalog of FR I Radio Galaxies
The authors have built a catalog of 219 Fanaroff and Riley class I edge-darkened radio galaxies (FR Is), called FRICAT, that is selected from a published sample and obtained by combining observations from the NVSS, FIRST, and SDSS surveys. They included in the catalog the sources with an edge-darkened radio morphology, redshift <= 0.15, and extending (at the sensitivity of the FIRST images) to a radius r larger than 30 kpc from the center of the host. The authors also selected an additional sample (sFRICAT) of 14 smaller (10 < r < 30 kpc) FR Is, limiting to z < 0.05. The hosts of the FRICAT sources are all luminous (-21 >~ M<sub>r</sub> >~ 24), red early-type galaxies with black hole masses in the range 10<sup>8</sup> <~ M<sub>BH</sub> <~ 3 x 10<sup>9</sup> solar masses); the spectroscopic classification based on the optical emission line ratios indicates that they are all low excitation galaxies. Sources in the FRICAT are then indistinguishable from the FR Is belonging to the Third Cambridge Catalogue of Radio Sources (3C) on the basis of their optical properties. Conversely, while the 3C-FR Is show a strong positive trend between radio and [O III] emission line luminosity, these two quantities are unrelated in the FRICAT sources; at a given line luminosity, they show radio luminosities spanning about two orders of magnitude and extending to much lower ratios between radio and line power than 3C-FR Is. The authors' main conclusion is that the 3C-FR Is represent just the tip of the iceberg of a much larger and diverse population of FR Is. This HEASARC table contains both the 219 radio galaxies in the main FRICAT sample listed in Table B.1 of the reference paper and the 14 radio galaxies in the additional sFRICAT sample listed in Table B.2 of the reference paper. To enable users to distinguish from which sample an entry has been taken, the HEASARC created a parameter galaxy_sample which is set to 'M' for galaxies from the main sample, and to 'S' for galaxies from the supplementary sFRICAT sample. Throughout the paper, the authors adopted a cosmology with H<sub>0</sub> = 67.8 km s<sup>-1</sup> Mpc<sup>-1</sup>, Omega<sub>M</sub> = 0.308, and Omega<sub>Lambda</sub> = 0.692 (Planck Collaboration XIII 2016). This table was created by the HEASARC in February 2017 based on electronic versions of Tables B.1 and B.2 that were obtained from the Astronomy & Astrophysics website. This is a service provided by NASA HEASARC .
FIRST Catalog of FR II Radio Galaxies
This table contains a catalog of 123 Fanaroff and Riley class II edge-brightened radio galaxies (FR IIs), called FRIICAT, that has been selected from a published sample obtained by combining observations from the NVSS, FIRST, and SDSS surveys. The catalog includes sources with redshift <=0.15, an edge-brightened radio morphology, and those with at least one of the emission peaks located at a radius r larger than 30 kpc from the center of the host. The radio luminosity at 1.4 GHz of the FRIICAT sources covers the range L<sub>1.4</sub> ~ 10<sup>39.5</sup> - 10<sup>42.5</sup> erg/s. The FRIICAT catalog has 90% of low- and 10% of high-excitation galaxies (LEGs and HEGs), respectively. The properties of these two classes are significantly different. The FRIICAT LEGs are mostly luminous (-20 >~ M<sub>r</sub> >~ -24), red early-type galaxies with black hole masses in the range 10<sup>8</sup> M<sub>sun</sub> <~ M<sub>BH</sub> <~ 10<sup>9</sup> M_sun_; they are essentially indistinguishable from the FR Is belonging to the FRICAT sample (Capetti et al. 2017, A&A, 598, A49: also available as a HEASARC table). The HEG FR IIs are associated with optically bluer and mid-IR redder hosts than the LEG FR IIs and to galaxies and black holes that are smaller, on average, by a factor of ~2. FR IIs have a factor of ~3 higher average radio luminosity than FR Is. Nonetheless, most (~90%) of the selected FR IIs have a radio power that is lower, by as much as a factor of ~100, than the transition value between FR Is and FR IIs found in the 3C sample. The correspondence between the morphological classification of FR I and FR II and the separation in radio power disappears when including sources selected at low radio flux thresholds, which is in line with previous results. In conclusion, a radio source produced by a low-power jet can be edge brightened or edge darkened, and the outcome is not related to differences in the optical properties of the host galaxy. The authors searched for FR II radio galaxies in the sample of 18,286 radio sources built by Best & Heckman (2012, MNRAS, 421, 1569) by limiting their search to the subsample of objects in which, according to these latter authors, the radio emission is produced by an active nucleus. They cross-matched the optical spectroscopic catalogs produced by the group from the Max Planck Institute for Astrophysics and Johns Hopkins University (Brinchmann et al. 2004, MNRAS, 351, 1151; Tremonti et al. 2004, ApJ, 613, 898) based on data from the Data Release 7 of the Sloan Digital Sky Survey (DR7/SDSS; Abazajian et al. 2009, ApJS, 182, 543) with the National Radio Astronomy Observatory Very Large Array Sky Survey (NVSS; Condon et al. 1998, AJ, 115, 1693, <a href="https://cdsarc.cds.unistra.fr/ftp/cats/VIII/65">CDS Cat. VIII/65</a>) and the Faint Images of the Radio Sky at Twenty centimeters survey (FIRST; Becker et al. 1995, ApJ, 450, 559; Helfand et al. 2015, ApJ, 801, 26, <a href="https://cdsarc.cds.unistra.fr/ftp/cats/VIII/92">CDS Cat. VIII/92</a>) adopting a radio flux density limit of 5 mJy in the NVSS. The authors focused on those sources with redshift z < 0.15. The majority (108) of the selected FR IIs are classified as LEG, but there are also 14 HEG and just one source that cannot be classified spectroscopically because of the lack of emission lines, namely SDSS J144625.13+214209.8. Throughout this study, the authors adopted a cosmology with H<sub>0</sub> = 67.8 km s<sup>-1</sup> Mpc<sup>-1</sup>, Omega<sub>M</sub> = 0.308, and Omega<sub>Lambda</sub> = 0.692 (Planck Collaboration XIII 2016, A&A, 594, A13). This table was created by the HEASARC in May 2017 based upon the <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/601/A81">CDS Catalog J/A+A/601/A81</a> file table1.dat. This is a service provided by NASA HEASARC .
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.