Skip to main content

Dark Emulator2

Neural-network emulator for the matter power spectrum in the non-flat $\nu w_0 w_a o \mathrm{CDM}$ cosmology model, developed as part of the Dark Quest project.

Installation

From PyPI:

pip install dark_emulator2

From GitHub:

pip install git+https://github.com/DarkQuestCosmology/dark_emulator2_public.git

From source:

git clone https://github.com/DarkQuestCosmology/dark_emulator2_public.git
cd dark_emulator2_public
pip install .

Usage

from dark_emulator2 import DarkEmulator2

de = DarkEmulator2()
param = de.param.get_fid_param()
k, pk = de.get_pk(param, zred=0.0)

Examples

Example notebooks are available in notebook.

Documentation

API reference is available at readthedocs.

License

This project is distributed under the MIT License. See LICENSE.

Metadata

Release files for dark-emulator2 1.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dark-emulator2 1.0.2
File Size Uploaded Provenance Actions
dark_emulator2-1.0.2.tar.gz 68.2 MB Without provenance Details for dark_emulator2-1.0.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for dark-emulator2 1.0.2
File Interpreter ABI Platform Actions
dark_emulator2-1.0.2-py3-none-any.whl Python 3 none any Details for dark_emulator2-1.0.2-py3-none-any.whl

Total release size: 136.4 MB

Release files / dark_emulator2-1.0.2.tar.gz

Download URL dark_emulator2-1.0.2.tar.gz
Size 68.2 MB
Tags Source
SHA-256 checksum
How to use checksums
6a6650a9d8a3dfdeef71f3988b5fd2b5541e36048acbbe3cbce7d3bf7f28eeaa
BLAKE2b-256 checksum
How to use checksums
5e57d8e15e67466d0a0bef095d3fca01126a2a1430d398f1a270d3b2299cc8f6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / dark_emulator2-1.0.2-py3-none-any.whl

Download URL dark_emulator2-1.0.2-py3-none-any.whl
Size 68.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
7088d6a4c5ab0ba1abe2b3405f692edb6c0660393188472602d0a13635cfed7b
BLAKE2b-256 checksum
How to use checksums
299d24e64d112e74d7ac71f45560d6682ae7d76d8d57ee472083ef5bebd586a2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Security for dark-emulator2 1.0.2

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.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page