LOFAR Solution Tool
Project description
LoSoTo: LOFAR solutions tool
Main developer:
- Francesco de Gasperin
Contributed code:
- David Rafferty
- Henrik Edler
- Maaijke Mevius
- Jose Sabater Montes
- Martin Hardcastle
- Andreas Horneffer
- and the LOFAR Survey Key Science Project
Cite:
- If you use LoSoTo for your data reduction, please cite: de Gasperin et al. 2019, Astronomy & Astrophysics, Volume 622, id.A5 (https://ui.adsabs.harvard.edu/abs/2019A&A...622A...5D/abstract)
Install:
- Install latest official release of LoSoTo from PyPI:
pip install --upgrade losoto
- Or, install latest development version of LoSoTo from GitHub:
pip install --upgrade --user https://github.com/revoltek/losoto/archive/master.zip
- Or clone the LoSoTo repository from https://github.com/revoltek/losoto, and install LoSoTo using:
python setup.py install --prefix=~/mydir/
- Prepare a
parset
file, which can be based on the fileparset/losoto2.parset
- In case of problems write to Francesco de Gasperin: astro@voo.it
H5parm plotter (GUI):
This is an external project maintained by Frits Sweijen: https://github.com/tikk3r/lofar-h5plot
Documentation:
- Documentation of LoSoTo API is at: http://revoltek.github.io/losoto/losoto.html
- A detailed explanation of all the parameters is at: http://revoltek.github.io/losoto/losoto.operations.html
- A few important articles/how-to are on the github wiki: https://github.com/revoltek/losoto/wiki
Contents:
- bin/: the losoto executable and some manipulators for H5parms
- docs/: documentation
- examples/: some examples h5parm to use with validation/test parsets
- losoto/operations/: contains all the modules for operations
- parsets/: some examples parsets
- tools/: contains some external tools
Required packages:
- Python 3
- PyTables version: >3.4.0
- HDF5 version: >1.8.4
- NumPy version: >1.9.0
- Scipy >1.4 (for interpolatedirections)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
losoto-2.2.tar.gz
(168.3 kB
view details)
Built Distribution
losoto-2.2-py3-none-any.whl
(199.7 kB
view details)
File details
Details for the file losoto-2.2.tar.gz
.
File metadata
- Download URL: losoto-2.2.tar.gz
- Upload date:
- Size: 168.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7c160aa165c362bde1b9bdaee999341ce30fca87ca1187400b4ba5762cbc69a0 |
|
MD5 | c93575aeb260b2cf4633d9a35db4a2ed |
|
BLAKE2b-256 | 3018012e31eb4e0da2d41f781b759881c19703864a4e5bf0847a0726bb43f096 |
File details
Details for the file losoto-2.2-py3-none-any.whl
.
File metadata
- Download URL: losoto-2.2-py3-none-any.whl
- Upload date:
- Size: 199.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dc34a7da84f56205d9d0880fd889abcebf4f4523fe8cc2ad849c11a1bdce496b |
|
MD5 | 5bfc9506577da8455b8be1de99c2f195 |
|
BLAKE2b-256 | f38f0527fd7292af87320e7caedab7f3168db330d8aa39448bd8716a19808b2f |