Poster Open Access

PySME - Spectroscopy Made Easier

Wehrhahn, Ansgar

JSON-LD ( Export

  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  "description": "<p>Over 20 years ago Valenti &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.</p>\n\n<p>PySME is a new Python frontend to the same library, developed with the same goal in mind: Making spectroscopy easier for everyone.</p>\n\n<p>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.</p>\n\n<p>This is also useful for Exoplanet research. It is important to understand the host star, to properly understand the workings of the orbiting planet.</p>", 
  "license": "", 
  "creator": [
      "affiliation": "Uppsala University", 
      "@id": "", 
      "@type": "Person", 
      "name": "Wehrhahn, Ansgar"
  "url": "", 
  "datePublished": "2021-02-12", 
  "keywords": [
    "Cool Stars on the main sequence", 
  "@type": "CreativeWork", 
  "contributor": [
      "@type": "Person", 
      "name": "Wolk, Scott"
  "@context": "", 
  "identifier": "", 
  "@id": "", 
  "workFeatured": {
    "url": "", 
    "alternateName": "CS20.5", 
    "location": "virtually anywhere", 
    "@type": "Event", 
    "name": "The 20.5th Cambridge Workshop on Cool Stars, Stellar Systems, and the Sun"
  "name": "PySME - Spectroscopy Made Easier"
All versions This version
Views 184183
Downloads 197197
Data volume 85.4 MB85.4 MB
Unique views 167166
Unique downloads 187187


Cite as