| |
 |
| Paper: |
The ALMA Data Mining Toolkit II: Using ADMIT on Data Mined from the ALMA Archive |
| Volume: |
485, Astronomical Data Analysis Software and Systems XXIII |
| Page: |
151 |
| Authors: |
Friedel, D. N.; Looney, L.; Mundy, L.; Pound, M.; Teuben, P. |
| Abstract: |
Following the accompanying ADMIT (the ALMA Data Mining Toolkit) paper by Teuben et al. (2013), we explore the power of the ADMIT
schema. ADMIT could be used to data mine across multiple ALMA datasets,
projects, or sources, adding value to the ALMA archive. ADMIT will be
capable of defining a set of sources in a local virtual project. This
project could have the ADMIT analyses recomputed in a common fashion, or
to a common level, and add new data products. The sources in the virtual
project could also be grouped based on similarities, either by the user
or due to decisions made by ADMIT, and have their data abstracted for
further analysis and visualization inside or outside of ADMIT in a
native Python environment. In this paper we describe the design and
techniques of this capability. |
|
|
|
|
|
