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idies/SpecDash: SpecDash Alpha 0.2.0

Authors: Manuchehr Taghizadeh-Popp;

idies/SpecDash: SpecDash Alpha 0.2.0

Abstract

SpecDash is an application for displaying and analyzing astronomical spectra, available as a stand-alone website (http://specdash.idies.jhu.edu), as well as an interactive or programmable widget freely installable in Jupyter notebooks, and currently deployed in the SciServer science platform (www.sciserver.org). Users can load and compare multiple spectra at the same time, smooth them with several kernels, overlay error bars, spectral masks and lines, and show individual exposure frames, sky background and model spectra. For modeling, spectral regions can be interactively selected for fitting the continuum or spectral lines with several predefined models, and spectral smoothing can be performed with with several kernels. For reproducibility, all spectra and models can be downloaded, shared, and then uploaded again by other users. Although the web-based version shares the same functionality as the Jupyter widget version, the latter has the advantage that users can use the SpecDash python library to programmatically load any kind of spectra, and analyze or model them using their own models and kernels. This release includes a new input driver for PFS.

Available at http://specdash.idies.jhu.edu

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Keywords

astronomy, analysis, software, jupyter, sciserver, website, visualization, spectrum

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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