DataComb

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Code for the DataComb paper

DataComb 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Data Combination Project (DataComb)

**DataComb** is a set of python scripts that will aid you in combining
radio interferometric and single dish observations, and obtain
quantitave measures of how different techniques perform. The scripts
should work with CASA 6.x, and also require both CASA and astropy to
be installed.

The work in this repository has been presented by: **Plunkett, Hacar,
Moser-Fischer, Petry, et al. (2023)** (https://ui.adsabs.harvard.edu/abs/2023PASP..135c4501P)
While we want to get the manuscript and code out as
soon as possible, *please be patient as we clean up the code base.*

# Overview:

1. If you want to (more quickly) get combined images, go directly to [Quick_start.md](Quick_start.md),
2. If you want to understand the steps, go to [Overview.md](Overview.md),
3. [Advanced users] If you want adjust parameters and perform data combination on your own data, go to [DC_pars.md](DC_pars.md).

# Scripts for the Paper

These should be the steps that allow you to reproduce the data combination as presented in Plunkett et al. (2023):

1. Ensure your CASA has **astropy** installed
2. Ensure the **analysisUtilities** are installed for your CASA
3. Run configure to be able to run the CASA based scripts
4. Gather the data (see data/README.md)
5. Execfile DC_script.py to run through your selected data set

## 1. - 3. Preparations
Details are given in [Preparation](https://github.com/teuben/DataComb/blob/master/Preparation.md).

You have to make these adjustments *just once*.  Steps include:

1. Requirements
2. Configure
3. (Optional but Recommended) Permanently Set Up Your CASA Environment

## 4. Data

Details are in [data/README.md](data/README.md).

As suggested in [Preparation](Preparation.md), the setup assumes that the data is present in **data**, physically or via a (sym)link.  If you cloned this Github repository, then the **data** directory should already exist.  You can modify this for your system as needed.

## 5. DC_script.py, DC_run.py, and IQA_script.py

At each start of a CASA instance you have to call the **DC_locals.py**
once to set up your source and destination folders, e.g.

execfile("/home/teuben/DataComb/DC_locals.py",globals())

**DC_script.py** is simply a wrapper that first calls the **DC_pars**-file you
  designate there, and then the combination program **DC_run.py**.

Alternatively, you can use these two lines to call:

execfile("/home/teuben/DataComb/DC_pars.py", globals()) 
	execfile("/home/teuben/DataComb/DC_run.py",globals())

For more on **DC_run.py**, you can find an overview of the capabilities given in [Overview](Overview.md), 
and more detail in [DC_run](DC_run.md).  Templates of **DC_pars**-files are found in the templates directory.

**DC_run.py** uses the Python module **datacomb.py** for preparation and combination 
of the data, and the Python module **IQA_script.py** for the assessment of the combination products. 
Both modules can be used as a stand-alone.

A quick start guide is given in	[Quick_start](Quick_start.md).

# Want to know more? 
If you use the code and/or techniques presented in this repository, please cite: Plunkett, Hacar, Moser-Fischer, Petry, et al. (2023) *will be updated with full reference*

The corresponding author of Plunkett, Hacar, Moser-Fischer, Petry, et al. (2023) is Adele Plunkett (aplunket@nrao.edu).  Some ongoing testing and features will be planned. Please contact the authors, or open an "issue" to report any particular bugs encountered or suggest features.

DataComb

DataComb 최신버젼 다운로드

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