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SDSS Galaxy Subset

Carvalho, Nuno Ramos


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        <foaf:name>Carvalho, Nuno Ramos</foaf:name>
        <foaf:givenName>Nuno Ramos</foaf:givenName>
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    <dct:title>SDSS Galaxy Subset</dct:title>
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    <dct:description>&lt;p&gt;The&amp;nbsp;&lt;a href="https://www.sdss.org"&gt;Sloan Digital Sky Survey&lt;/a&gt;&amp;nbsp; (SDSS) is a comprehensive survey of the northern sky. This dataset contains a subset of this survey, of 60247&amp;nbsp;objects classified as galaxies, it includes a CSV file with a collection of information and a set of files for each object, namely JPG image files, FITS and spectra data. This dataset is used to train and explore the&amp;nbsp;&lt;a href="https://github.com/nunorc/astromlp-models"&gt;astromlp-models&lt;/a&gt;&amp;nbsp;collection of deep learning models for galaxies characterisation.&lt;/p&gt; &lt;p&gt;The dataset includes a CSV data file where each row is an object from the SDSS database, and with the following columns (note that some data may not be available for all objects):&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;strong&gt;objid&lt;/strong&gt;: unique SDSS object identifier&amp;nbsp;&lt;/li&gt; &lt;li&gt;&lt;strong&gt;mjd&lt;/strong&gt;: MJD of observation&lt;/li&gt; &lt;li&gt;&lt;strong&gt;plate&lt;/strong&gt;: plate identifier&lt;/li&gt; &lt;li&gt;&lt;strong&gt;tile&lt;/strong&gt;: tile identifier&lt;/li&gt; &lt;li&gt;&lt;strong&gt;fiberid&lt;/strong&gt;: fiber identifier&lt;/li&gt; &lt;li&gt;&lt;strong&gt;run&lt;/strong&gt;: run number&lt;/li&gt; &lt;li&gt;&lt;strong&gt;rerun&lt;/strong&gt;: rerun number&lt;/li&gt; &lt;li&gt;&lt;strong&gt;camcol&lt;/strong&gt;: camera column&lt;/li&gt; &lt;li&gt;&lt;strong&gt;field&lt;/strong&gt;: field number&lt;/li&gt; &lt;li&gt;&lt;strong&gt;ra&lt;/strong&gt;: right ascension&lt;/li&gt; &lt;li&gt;&lt;strong&gt;dec&lt;/strong&gt;: declination&lt;/li&gt; &lt;li&gt;&lt;strong&gt;class&lt;/strong&gt;: spectroscopic class (only objetcs with GALAXY are included)&lt;/li&gt; &lt;li&gt;&lt;strong&gt;subclass&lt;/strong&gt;: spectroscopic subclass&lt;/li&gt; &lt;li&gt;&lt;strong&gt;modelMag_u&lt;/strong&gt;: better of DeV/Exp magnitude fit for band u&lt;/li&gt; &lt;li&gt;&lt;strong&gt;modelMag_g&lt;/strong&gt;: better of DeV/Exp magnitude fit for band g&lt;/li&gt; &lt;li&gt;&lt;strong&gt;modelMag_r&lt;/strong&gt;: better of DeV/Exp magnitude fit for band r&lt;/li&gt; &lt;li&gt;&lt;strong&gt;modelMag_i&lt;/strong&gt;: better of DeV/Exp magnitude fit for band i&lt;/li&gt; &lt;li&gt;&lt;strong&gt;modelMag_z&lt;/strong&gt;: better of DeV/Exp magnitude fit for band z&lt;/li&gt; &lt;li&gt;&lt;strong&gt;redshift&lt;/strong&gt;: final redshift from SDSS data z&lt;/li&gt; &lt;li&gt;&lt;strong&gt;stellarmass&lt;/strong&gt;: stellar mass extracted from the&amp;nbsp;&lt;a href="https://www.sdss.org/dr16/spectro/eboss-firefly-value-added-catalog"&gt;eBOSS Firefly catalog&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;strong&gt;w1mag&lt;/strong&gt;: WISE W1 &amp;quot;standard&amp;quot; aperture magnitude&lt;/li&gt; &lt;li&gt;&lt;strong&gt;w2mag&lt;/strong&gt;: WISE W2 &amp;quot;standard&amp;quot; aperture magnitude&lt;/li&gt; &lt;li&gt;&lt;strong&gt;w3mag&lt;/strong&gt;: WISE W3 &amp;quot;standard&amp;quot; aperture magnitude&lt;/li&gt; &lt;li&gt;&lt;strong&gt;w4mag&lt;/strong&gt;: WISE W4 &amp;quot;standard&amp;quot; aperture magnitude&lt;/li&gt; &lt;li&gt;&lt;strong&gt;gz2c_f&lt;/strong&gt;: Galaxy Zoo 2 classification from&amp;nbsp;&lt;a href="https://academic.oup.com/mnras/article/435/4/2835/1022913"&gt;Willett et al 2013&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;strong&gt;gz2c_s&lt;/strong&gt;: simplified version of Galaxy Zoo 2 classification (&lt;a href="https://github.com/nunorc/astromlp-models#galaxy-zoo-2-simplified-classes-gz2c"&gt;labels set&lt;/a&gt;)&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;Besides the CSV file a set of directories are included in the dataset, in each directory you&amp;#39;ll find a list of files named after the &lt;strong&gt;objid&amp;nbsp;&lt;/strong&gt;column from the CSV file, with the corresponding data, the following directories tree is&amp;nbsp;available:&lt;/p&gt; &lt;pre&gt;&lt;code class="language-bash"&gt;sdss-gs/ ├── data.csv ├── fits ├── img ├── spectra └── ssel&lt;/code&gt;&lt;/pre&gt; &lt;p&gt;Where, each directory contains:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;strong&gt;img&lt;/strong&gt;: RGB images from the object in JPEG format, 150x150 pixels, generated using the&amp;nbsp;&lt;a href="https://skyserver.sdss.org/dr16/en/help/docs/api.aspx"&gt;SkyServer DR16 API&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;strong&gt;fits&lt;/strong&gt;: FITS data subsets around the object across the u, g, r, i, z bands; cut is done using the&amp;nbsp;&lt;a href="https://github.com/jhoar/ImageCutter"&gt;ImageCutter&lt;/a&gt;&amp;nbsp;library&lt;/li&gt; &lt;li&gt;&lt;strong&gt;spectra&lt;/strong&gt;: full best fit spectra data from SDSS between 4000 and 9000 wavelengths&lt;/li&gt; &lt;li&gt;&lt;strong&gt;ssel&lt;/strong&gt;: best fit spectra data from SDSS for specific selected intervals of wavelengths discussed by&amp;nbsp;&lt;a href="https://arxiv.org/abs/1003.3186"&gt;S&amp;aacute;nchez Almeida 2010&lt;/a&gt;&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Changelog&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;v0.0.2&amp;nbsp;- Increase number ob objects to ~60k..&lt;/li&gt; &lt;li&gt;v0.0.1 - Initial import.&lt;/li&gt; &lt;/ul&gt;</dct:description>
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