A collection of simulation routines describing the HERA instrument.
Project description
Basic simulation package for HERA-like redundant interferometric arrays.
Features
Systematic Models: Many models of instrumental systematics in various forms, eg. thermal noise, RFI, bandpass gains, cross-talk, cable reflections and foregrounds.
HERA-tuned: All models have defaults tuned to HERA, with various default “sets” available (eg.H1C, H2C)
Interoperability: Interoperability with pyuvdata datasets and pyuvsim configurations.
Ease-of-use: High-level interface for adding multiple systematics to existing visibilities in a self-consistent way.
Visibility Simulation: A high-level interface for visbility simulation that is compatible with the configuration definition from pyuvsim but is able to call multiple simulator implementations.
Convenience: Methods for adjusting simulated data to match the times/baselines of a reference dataset.
Documentation
At ReadTheDocs. In particular, for a tutorial and overview of available features, check out the tour.
Installation
Conda users
If you are using conda, the following command will install all dependencies which it can handle natively:
$ conda install -c conda-forge numpy scipy pyuvdata attrs h5py healpy pyyaml
If you are creating a new development environment, consider using the included environment file:
$ conda env create -f ci/tests.yaml
This will create a fresh environment with all required dependencies, as well as those required for testing. Then follow the pip-only instructions below to install hera_sim itself.
Pip-only install
Simply use pip install -e . or run pip install git+git://github.com/HERA-Team/hera_sim.
Developer install
For a development install (tests and documentation), run pip install -e .[dev].
Other optional extras can be installed as well. To use baseline-dependent averaging functionality, install the extra [bda]. For the ability to simulate redundant gains, install [cal]. To enable GPU functionality on some of the methods (especially visibility simulators), install [gpu].
As the repository is becoming quite large, you may also wish to perform a shallow clone to retrieve only the recent commits and history. This makes the clone faster and avoid bottleneck in CI pipelines.
Provide an argument --depth 1 to the git clone command to copy only the latest revision of the repository.
git clone -–depth [depth] git@github.com:HERA-Team/hera_sim.git
Versioning
We use semantic versioning (major.minor.patch) for the hera_sim package (see SemVer documentation). To briefly summarize, new major versions include API-breaking changes, new minor versions add new features in a backwards-compatible way, and new patch versions implement backwards-compatible bug fixes.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file hera_sim-4.0.0.tar.gz
.
File metadata
- Download URL: hera_sim-4.0.0.tar.gz
- Upload date:
- Size: 4.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dfe5b951cfecc9155a85fb2802db5fa21aeffc6c00788d653e1e889215e9fbe4 |
|
MD5 | fe5ccf3c293eacb989df1afc39028b84 |
|
BLAKE2b-256 | 5706dc1961cbbde47c0ffd3b66995859462aabf50c7fc3d5c803af93186ddd37 |
File details
Details for the file hera_sim-4.0.0-py2.py3-none-any.whl
.
File metadata
- Download URL: hera_sim-4.0.0-py2.py3-none-any.whl
- Upload date:
- Size: 477.8 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 17f4aad09077e3744b98af85208331bf5fa9cd262e96b8932d5ecb07202be15b |
|
MD5 | fd15ec194be107bc991ac174af9ac0ac |
|
BLAKE2b-256 | e4d8c4515831bc2fab27282783b6d66dc4d069698fb9b84816fb8069a78f15e3 |