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ZENODO
Dataset . 2016
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ZENODO
Dataset . 2016
License: CC 0
Data sources: Datacite
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ZENODO
Dataset . 2016
License: CC 0
Data sources: ZENODO
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A Sharper View Of Pal 5'S Tails: Discovery Of Stream Perturbations With A Novel Non-Parametric Technique

Authors: Erkal, Denis; Koposov, Sergey; Belokurov, Vasily;

A Sharper View Of Pal 5'S Tails: Discovery Of Stream Perturbations With A Novel Non-Parametric Technique

Abstract

Here we release some data on the Pal 5 stellar stream from the arXiv:1609.01282 paper. The file pal5_measurements.fits stores the Pal 5 stream measurements , as shown on Figure 5 of the paper, with the following columns phi1 Angle along the stream in degrees ( the coordinate system is defined in the paper) phi2 Angle across the stream in degrees sbstream Central surface brightness of the stream in stars per square arcmin ldens Linear density of the stream in stars/arcmin cumdens Cumulative density of the (leading/trailing) tail from the progenitor width Gaussian sigma of the stream in degrees bgdens density of background stars The columns with _16, _50, _84 appended to their name refer to the 16%, 50% 84% percentiles inferred from the posterior samples. We also provide the MCMC chains that could be used to measure the covariance matrices of different parameters: The chains are stored in the fits file with the columns phi2_i, logI_j, logSig_j, logB0_j, logB1_j referring to the stream track values at the nodes, log of stream surface brightness, log of stream width, log of the background density and log of background density slope (see paper for more details).

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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