Technical Work
- Data reduction for ALMA and APEX data
- Quality Assessment
- Data combinaation
- Self-calibration
- creation of data management data base
Science
Continuum
- Compact source identification
- CMF
- Minimum Spanning Tree
- Cluster properties
- mass segragation
- Size, mass densities
- Shape (spherical, following filaments)
Line
- Extraction and Classification of sources toward compact sources (PCA, Machine Learning)
- Determine classes
- analyze average spectrum of classes, determine evolutionary stage
- analyze variation within classes
- compare with similar analysis of chemical models
- Determination of physical parameter (XCLASS), Classification based on that
- Identification of infall and outflow candidates - PCA line shapes
- Identification of disk candidates - ML shape identification
- check extended emission (filaments, hubs)
- search for outflows, feedback, statistics
- cluster dynamics (velocity dispersion)
General
- Preparation of tools for production runs (source and spectra extraction etc.) using existing data sets
- Literature search: radio, optical, IR counterparts
- large scale connection: Sedigism, Hi-GAL, ATLASGAL
- comparison with MHD calculations
- correlation of cluster properties with Environment (Galactocentric distance, spiral arm or interarm...)
Followups
- VLA
- Feb 1 6 cm (A-array)
- Aug 1 3.6 cm (1.3 cm), Water Masers (do we really want NH3)?
- ATCA Deadline Dec 15
- ALMA
- ACA small mosaics to link to larger scales
- high resolution for disks
- polarization