معرفی شرکت ها
edge-pydb-1.5.0
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Python based database for CARMA EDGE
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | edge-pydb-1.5.0 |
| نام | edge-pydb |
| نسخه کتابخانه | 1.5.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Tony Wong |
| ایمیل نویسنده | tonywong94@gmail.com |
| آدرس صفحه اصلی | https://github.com/tonywong94/edge_pydb |
| آدرس اینترنتی | https://pypi.org/project/edge-pydb/ |
| مجوز | MIT |
# edge_pydb
Python-based database for CARMA EDGE. This package requires Python 3.
The EDGE database has several components (see `index_csv.md` and `index_hdf.txt` for details):
* Zero-dimensional CSV tables (one value per galaxy), found in `dat_glob`.
* One-dimensional CSV tables (e.g. radial profiles or spectra), found in `dat_prof` and `dat_spec`.
* Downsampled 2D or 3D images, saved as HDF5 binary tables in the `img_` directories.
## Installation
Install the package directly from PyPI (https://pypi.org/project/edge-pydb/) using
pip install --user edge_pydb
or, if you prefer to keep the latest source code handy, by cloning this Github repository and running
pip install --user .
in the directory containing `setup.py`.
The `--user` flag ensures the package is not installed in your system-wide Python directories, which you probably don't have write access to. The package tries to save and update a configuration file `_config.json`, which provides the paths to all the database tables, so installation in your user area is recommended. Alternatively, you may save the configuration file in a different location using (e.g.):
import edge_pydb.util as edgeutil
edgeutil.save_config('/path/to/config.json')
You will then need to load this file whenever you start the package:
edgeutil.load_config('/path/to/config.json')
To uninstall you may use
pip uninstall edge_pydb
but note that the `_config.json` will not be removed, so to fully uninstall you will need to delete the `edge_pydb` directory manually using (e.g.):
rm -r ~/Library/Python/3.9/lib/python/site-packages/edge_pydb/
## Merging in large data sets
The Github package only contains data for a single galaxy (NGC 4047), for demonstration and testing purposes. Larger data files can be downloaded as ZIP archives from Box. It is recommended that you unpack additional files into a single directory that is easily accessible on your file system, and not inside your Python libraries (`site-packages` area). Here is the suggested way to incorporate these into your runtime environment:
Leave the git directory in which this README is located. (This ensures that the package runs from your `site-packages` area and not the current directory.) Open an iPython shell and type:
import edge_pydb.util as edgeutil
edgeutil.listfiles(values=True)
This should show only the Github data installed in `site-packages`. Now suppose the additional data files are in a folder called `pybase`. Then
edgeutil.add_from_dir('/path/to/pybase/', max_depth=0, copy=False)
will add the additional files to your environment. This only needs to be done once after package installation, unless you add new files to `pybase`. Here the `max_depth=0` parameter prevents files in subdirectories from being added. Use the `listfiles` command above to verify that the expected tables are available.
## Basic Usage
from edge_pydb import EdgeTable
EdgeTable('list')
makes a listing of the available files.
ctrpos = EdgeTable('edge_coflux_smo7.csv')
loads a CSV file. `ctrpos` can now be treated like an astropy table, for example `ctrpos.info()` will summarize the contents and `ctrpos.pprint()` will print some of the data.
ctrpos = EdgeTable('edge_coflux_smo7.csv', cols=['Name', 'coRactr_smo7', 'coDectr_smo7'])
loads the three specified columns only from the CSV file.
leda = EdgeTable('edge_leda.csv', cols=['Name', 'ledaD25', 'ledaPA', 'ledaIncl'])
ctrpos.join(leda)
will merge a sub-table from `edge_leda.csv` into `ctrpos`. We must select the `Name` column from both tables for the join to work.
comom = EdgeTable('NGC4047.2d_smo7.hdf5', path='comom_smo')
loads an HDF5 file. The path must be given, otherwise a listing of available paths is provided.
A `demo_notebk` folder provides examples of accessing and plotting database values in a Jupyter notebook.
## HDF5 File Contents
Detailed listings of the HDF5 files are provided in [index_hdf.txt](https://github.com/tonywong94/edge_pydb/blob/master/index_hdf.txt) at the top level. Note that each HDF5 file can bundle several tables or "paths," and only one path can be read into `EdgeTable` at a time.
- **[label].pipe3d.hdf5**: These are CALIFA data products from Pipe3D. As described in [Sanchez et al. (2016a)](http://adsabs.harvard.edu/abs/2016RMxAA..52..171S), there are five collections of images, bundled as `ELINES`, `SFH`, `SSP`, `flux_elines`, and `indices`. These are also the names of the five paths in the HDF5 file. Pixels are sampled from the original astrometric grid of CALIFA DR3, so these tables should **not** be joined with tables in the other HDF5 files. Additional columns in the `ELINES` and `flux_elines` tables provide calculated star formation rates, Hα extinctions, metallicities, and BPT classifications.
- **[label].2d_smo7.hdf5**: These contain the CARMA CO moment maps and the *matched resolution* CALIFA data, and are thus likely to be the key files for your analysis. All are at a resolution of 7 arcsec (FWHM Gaussian beam), with astrometric grid defined by the CARMA images. CO moment maps were generated using three different methods (`str`, `dil`, `smo`), with each method being a separate table (path) within the HDF5 file. The straight (`str`) moment maps are generated without masking and have very poor signal-to-noise. To reject noise, the dilated (`dil`) moment maps use a dilated mask that starts at a high significance contour (3.5σ or greater in two consecutive channels) and expands to a surrounding 2σ contour. The smoothed (`smo`) moment maps use a mask that is obtained by smoothing the cube spatially (to 14") before constructing a dilated mask. For most purposes the dilated masks produce the best results. For the CALIFA data, which are found in separate tables named `ELINES_sm` etc., a separate run of Pipe3D has been performed on the smoothed CALIFA data, after matching to the 7" CARMA resolution.
- **[label].cocube_smo7.hdf5**: These contain the CARMA CO data cubes and mask cubes, at a resolution of 7 arcsec (FWHM Gaussian beam). These tables have the same astrometric grid as those in **[label].2d_smo7.hdf5** and can be joined with those tables (but note values will be replicated along the velocity axis).
Available datasets will expand over time, but current values for [label] include `edge_carma` (which uses a square sampling grid spaced by 3", sufficient for Nyquist sampling the CARMA beam) and `edge_carma_allpix` (all pixel values saved, resulting in much longer tables).
## References
For more information about the CALIFA Data Release 3:
- [Sanchez et al. (2016b)](http://adsabs.harvard.edu/abs/2016A&A...594A..36S), "CALIFA, the Calar Alto Legacy Integral Field Area survey. IV. Third public data release."
For more information about EDGE:
- [Bolatto et al. (2017)](http://adsabs.harvard.edu/abs/2017ApJ...846..159B), "The EDGE-CALIFA Survey: Interferometric Observations of 126 Galaxies with CARMA."
If you use this package in a publication please also cite:
- Wong et al. (2022), "The EDGE-CALIFA Survey: An Extragalactic Database for Galaxy Evolution Studies," in prep.
نیازمندی
| مقدار | نام |
|---|---|
| - | numpy |
| - | scipy |
| - | astropy |
| - | radio-beam |
| - | matplotlib |
| - | requests |
| - | h5py |
| - | uncertainties |
نحوه نصب
نصب پکیج whl edge-pydb-1.5.0:
pip install edge-pydb-1.5.0.whl
نصب پکیج tar.gz edge-pydb-1.5.0:
pip install edge-pydb-1.5.0.tar.gz