Data Combination

DataComb Working Group

The recovery of extended emission is one of the most fundamental challenges for interferometric mapping. EMERGE leads the Quality Assessment team at the DataComb working group (https://github.com/teuben/DataComb) for the exploration of state-of-the-art Data Combination techniques for interferometers such as ALMA (see Plunkett, Hacar, et al (+Suri) 2023)

See also: Hacar A., Tafalla M., Forbrich J., Alves J., Meingast S., Grossschedls J., & Teixeira P.S., 2018, A&A, 610, A77 (link)

Data Combination methods in the ALMA era

As part of Plunkett et al 2023, we systematically explored and tested most of the data combination methods currently available in CASA. Our results allow a systematic comparison among different reduction methods and show how DC dramatically improve the data quality in comparison with interferometric-alone reductions.

Comparison of our synthetic skymodel and the maps obtained using interferometric-alone deconvolution (int-CLEAN), Feather, and Model-Assisted Cleaning plus Feather (MACF) methods.

Advance Quality Assessments

As important as the data combination process is the ability to measure the goodness of the reduction. EMERGE develops advanced Quality Assessments for the analysis of interferometric observations (see Plunkett et al 2023 for more information).

Quality Assessment of different data combinations: (Left) Histogram of the Accuracy parameter (A-par); (Right) Flux recovered at different flux bins.

Large scale ALMA mosaic of the 30Dor region

EMERGE collaborates on the study of the 30Dor region observed by ALMA (Wong et al 2022). This works combines 5 mosaics of 12m+7m+TP data in Band 6 in order to investigate the distribution of the 12CO and 13CO (2-1) emission in this massive clusters down to 0.4pc resolution. See also ESO photo release (link).