Projects – interstellardibs.space

Atomic lines

Create an inventory of all absorption lines from neutral and ionized atomic species.
For each sightline:
- Determine the number of interstellar cloud components in each (literature + data)
- Measure equivalent width (note: if we do the next point, we can skip this)
- Determine line parameters (requires fitting Voigt profiles to the data).
Correlate different species, and relate to other line of sight parameters (e.g. E(B-V), fH2, …).

Create an inventory of all absorption lines from small molecules.
For each sightline:
- Correlate components with atomic lines.
- Measure equivalent widths of all components (note: if we do the next point, we can skip this)
- Determine line parameters (requires fitting Voigt profiles to the data).
Evaluate isotope ratios, rotational temperatures
Correlate different species, and relate to other line of sight parameters (e.g. E(B-V), fH2, …).

Create the most sensitive survey of DIBs (but how?)
Single cloud projects: ideal to characterize strong and medium DIBs:
- Characterize the DIB profile (e.g. by fitting Gaussians)
- Establish whether the profile shows variations in different single-cloud sightlines.
- Find correlations with atomic/molecular species and line of sight parameters.
General:
- measure equivalant widths of all DIBs (how can we limit systematics?)
- Multi-variate correlation studies between DIBs and other line of sight parameters.
- Can we decompose a sightline into separate clouds?
ML project: use the observations at different phase for spetroscopic binary HD 170740 to establish an “old school” DIB catalogue using new ML or Bayesian techniques.