STAR-MELT (STellar AccRetion – Mapping with Emission Line Tomography)

An automated, portable and user-friendly Jupyter notebook created to analyse time-resolved spectra of young stars. By analysing the time- and velocity-signatures of the emission line spectra, STAR-MELT investigates the physical conditions (temperatures, densities), spatial location, and variability, of the line-emitting regions. These are typically well beyond the limits of direct resolution and interferometry, and include accretion channels, hot spots on and near the stellar surface, stellar and inner disk winds, and the innermost regions of protoplanetary disks. The  code is at this point available via collaboration (please contact us if you are interested in using STAR-MELT) and can already analyse data from the VLT spectroscopes (UVES, ESPRESSO, X-SHOOTER), plus FEROS, HARPS, ESPaDOnS, SOPHIE, CHIRON, and can be easily converted to any facility that provides 1D wavelength-calibrated spectra.

See Introduction Video to STAR-MELT below:

STAR-MELT has now been presented in several international conferences

Five years since HL Tau: A New Era in Planet Formation

Virtual Conference hosted by the European Space Agency, 7-11 December 2020

Link to Conference Website

Presentation by Justyn Campbell-White  – STAR-MELT Python Package Talk. Astronomical Emission Line Analysis

Presentation by Aurora Sicilia-AguilarReading between the lines Time-resolved adventures mapping young and wild stars

Cool Stars 20.5

Virtual Conference hosted by Center for Astrophysics Harvard & Smithsonian and Mit Kavli Institute  March 2-4 2021

Link to Conference Website

Poster by Aurora Sicilia-Aguilar  – “Reading Between the Lines”: How Time – and Velocity-Resolved Data Can Help us to Map the Tiniest Scales in Young Forming Stars

Poster and Video by Justyn Campbell-WhiteIntroducing STAR-MELT: STellar AccRetion Mapping with Emission Line Tomography – A Python Package for Extraction, Identification, Fitting and Analysis of Spectral Lines



Stay Connected

More Updates