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
Presentation by Justyn Campbell-White – STAR-MELT Python Package Talk. Astronomical Emission Line Analysis
Presentation by Aurora Sicilia-Aguilar – Reading 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
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-White – Introducing STAR-MELT: STellar AccRetion Mapping with Emission Line Tomography – A Python Package for Extraction, Identification, Fitting and Analysis of Spectral Lines