| Name | dsigma JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | None |
| upload_time | 2024-05-26 20:38:46 |
| maintainer | None |
| docs_url | None |
| author | Song Huang |
| requires_python | >=3.8 |
| license | The MIT License (MIT) Copyright (c) 2017 - Present: Johannes Lange and Song Huang Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
astronomy
weak-lensing
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://github.com/johannesulf/dsigma/actions)
[](https://dsigma.readthedocs.io/en/latest/)
[](https://pypi.org/project/dsigma/)
[](https://raw.githubusercontent.com/johannesulf/dsigma/main/LICENSE)
[](https://ascl.net/2204.006)
`dsigma` is an easy-to-use python package for measuring gravitational galaxy-galaxy lensing. Using a lensing catalog, it estimates excess surface density around a population of lenses, such as galaxies in the Sloan Digital Sky Survey or the Baryon Oscillation Spectroscopic Survey. It has a broadly applicable API and can utilize data from the Dark Energy Survey (DES), the Kilo-Degree Survey (KiDS), and the Hyper-Suprime Cam (HSC) lensing surveys, among others. With core computations written in C, `dsigma` is very fast. Additionally, `dsigma` provides out-of-the-box support for estimating covariances with jackknife resampling and calculating various summary statistics. Below is a plot showing the excess surface density around galaxies in the CMASS sample calculated with `dsigma`.
## Authors
* Johannes Lange
* Song Huang
## Documentation
Documentation for `dsigma` with concept introductions, examples, and API documentation is available on [readthedocs](https://dsigma.readthedocs.io/).
## Attribution
`dsigma` is listed in the [Astronomy Source Code Library](https://ascl.net/2204.006). If you find the code useful in your research, please cite [Lange & Huang (2022)](https://ui.adsabs.harvard.edu/abs/2022ascl.soft04006L/abstract).
## License
`dsigma` is licensed under the MIT License.
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