Poster Open Access

PySME - Spectroscopy Made Easier

Wehrhahn, Ansgar

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  <identifier identifierType="DOI">10.5281/zenodo.4537913</identifier>
      <creatorName>Wehrhahn, Ansgar</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0002-1241-8557</nameIdentifier>
      <affiliation>Uppsala University</affiliation>
    <title>PySME - Spectroscopy Made Easier</title>
    <subject>Cool Stars on the main sequence</subject>
    <date dateType="Issued">2021-02-12</date>
  <resourceType resourceTypeGeneral="Text">Poster</resourceType>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4537912</relatedIdentifier>
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    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;Over 20 years ago Valenti &amp;amp; Piskuonov developed the stellar spectral synthesis library Spectroscopy Made Easy (SME) to simplify stellar spectral analysis, and it has been used in hundreds of works since.&lt;/p&gt;

&lt;p&gt;PySME is a new Python frontend to the same library, developed with the same goal in mind: Making spectroscopy easier for everyone.&lt;/p&gt;

&lt;p&gt;PySME creates accurate, high-resolution synthetic spectra, based on a range of stellar parameters, a linelist and a model atmosphere. It can also be used the other way around. Give PySME an observation and it will determine the best fit stellar parameters for that spectrum.&lt;/p&gt;

&lt;p&gt;This is also useful for Exoplanet research. It is important to understand the host star, to properly understand the workings of the orbiting planet.&lt;/p&gt;</description>
    <description descriptionType="Other">An interactive version of this poster is available at</description>
    <description descriptionType="Other">{"references": ["Asplund, Martin, Nicolas Grevesse, A. Jacques Sauval, and Pat Scott. 2009. \"The Chemical Composition of the Sun.\" Annual Review of Astronomy and Astrophysics 47 (1): 481\u2013522.", "Buder, Sven, Martin Asplund, Ly Duong, Janez Kos, Karin Lind, Melissa K. Ness, Sanjib Sharma, et al. 2018. \"The GALAH Survey: second data release.\" Monthly Notices of the RAS 478 (4): 4513\u201352.", "Gustafsson, B., B. Edvardsson, K. Eriksson, U. G. J\u00f8rgensen,. Nordlund, and B. Plez. 2008. \"A grid of MARCS model atmospheres for late-type stars. I. Methods and general properties.\" Astronomy and Astrophysics 486 (3): 951\u201370.", "Kupka, F. G., T. A. Ryabchikova, N. E. Piskunov, H. C. Stempels, and W. W. Weiss. 2000. \"VALD-2 \u2013 the New Vienna Atomic Line Database.\" Baltic Astronomy 9 (January): 590\u201394.", "Kupka, F., N. Piskunov, T. A. Ryabchikova, H. C. Stempels, and W. W. Weiss. 1999. \"VALD-2: Progress of the Vienna Atomic Line Data Base.\" Astronomy and Astrophysics, Supplement 138 (July): 119\u201333.", "Loss, RD. 2003. \"Atomic Weights of the Elements 2001 (Iupac Technical Report).\" Pure and Applied Chemistry 75 (8). De Gruyter: 1107\u201322", "Piskunov, N. E., F. Kupka, T. A. Ryabchikova, W. W. Weiss, and C. S. Jeffery. 1995. \"VALD: The Vienna Atomic Line Data Base.\" Astronomy and Astrophysics, Supplement 112 (September): 525", "Piskunov, Nikolai, and Jeff A. Valenti. 2017. \"Spectroscopy Made Easy: Evolution.\" Astronomy and Astrophysics 597 (January): A16.", "Ryabchikova, T. A., N. E. Piskunov, F. Kupka, and W. W. Weiss. 1997. \"The Vienna Atomic Line Database : Present State and Future Development.\" Baltic Astronomy 6 (March): 244\u201347.", "Ryabchikova, T., N. Piskunov, R. L. Kurucz, H. C. Stempels, U. Heiter, Yu Pakhomov, and P. S. Barklem. 2015. \"A major upgrade of the VALD database.\" Physica Scripta 90 (5): 054005.", "Valenti, J. A., and N. Piskunov. 1996. \"Spectroscopy made easy: A new tool for fitting observations with synthetic spectra.\" Astronomy and Astrophysics, Supplement 118 (September): 595\u2013603"]}</description>
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