DSF
Delta Sigma forecasting tools for LSST DESC galaxy-galaxy lensing analyses.
DSF is a modelling package for projected galaxy-galaxy lensing observables, with a focus on $\Delta\Sigma$ data vectors, covariance ingredients, tomography choices, and LSST DESC forecasting workflows.
The package is currently in early development.
Contacts
For questions about DSF or contributing to the project, please contact:
DSF is developed collaboratively within the LSST Dark Energy Science Collaboration. Contributions are welcome.
See the contributing and development guide for information about contributing, the development team, and the development workflow.
Installation
Clone the repository:
git clone https://github.com/LSSTDESC/dsf.git
cd dsf
Documentation
The documentation is available at:
1 maintainer
Metadata
1 maintainer
Release files for lsst-desc-dsf 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| lsst_desc_dsf-0.1.0.tar.gz | 114.3 kB | Without provenance | Details for lsst_desc_dsf-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| lsst_desc_dsf-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for lsst_desc_dsf-0.1.0-py3-none-any.whl |
Total release size: 190.1 kB
Release files / lsst_desc_dsf-0.1.0.tar.gz
| Download URL | lsst_desc_dsf-0.1.0.tar.gz |
|---|---|
| Size | 114.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
88cfab171774b94e757c1d82440effdadf034e81dd0140f51c08b19330ebf471
|
|
BLAKE2b-256 checksum How to use checksums |
a9268c3241a8f199d272af6b130747fedae78170bb2b716babd8e5a989daebbf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.13.7 {"installer":{"name":"uv","version":"0.13.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"26.04","id":"resolute","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Release files / lsst_desc_dsf-0.1.0-py3-none-any.whl
| Download URL | lsst_desc_dsf-0.1.0-py3-none-any.whl |
|---|---|
| Size | 75.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fb0a0dac703b77bfd320abb6eecb8055ef0ca1838b3547bd511bdf267c27b97e
|
|
BLAKE2b-256 checksum How to use checksums |
74b81f418c06a18be295f305e645624742ca74ac576625e527a6dfc1b3dd008d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.13.7 {"installer":{"name":"uv","version":"0.13.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"26.04","id":"resolute","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Security for lsst-desc-dsf 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
