Skip to main content

A solid state detector simulation developed for the Nab experiment.

Project description

nesse

Nab Event Shape Simulation Effort (NESSE) is a python based solid state detector simulation developed for the Nab experiment.

Dependencies

Please insure the following dependencies are installed if installing nesse manually.

  • Cython==0.29.32
  • uproot==4.3.7
  • numpy==1.24.3
  • scipy
  • tqdm
  • matplotlib
  • numba
  • h5py
  • pandas

Install

nesse can either be installed using pip or manually.

To install with pip

python3 -m pip install nesse

To install manually git clone and append the path to the nesse src directory like below:

import sys
sys.path.append(path_to_nesse+"/src/")
import nesse

Please see the tutorial notebook for more instruction on how to use nesse.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nesse-0.1.1.tar.gz (16.6 kB view details)

Uploaded Source

Built Distribution

nesse-0.1.1-py3-none-any.whl (17.9 kB view details)

Uploaded Python 3

File details

Details for the file nesse-0.1.1.tar.gz.

File metadata

  • Download URL: nesse-0.1.1.tar.gz
  • Upload date:
  • Size: 16.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for nesse-0.1.1.tar.gz
Algorithm Hash digest
SHA256 f156a57b7493f842bbe1fe2c4b2cfb592bf48287af69756ae9ece890caf9546b
MD5 c71f31461edfcbafee27aa8083b93695
BLAKE2b-256 04a475dab87f44d673f1b929522f19a59f7530ed4ebb22668333932c0405d963

See more details on using hashes here.

Provenance

File details

Details for the file nesse-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: nesse-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 17.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for nesse-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3b0765617526c7af8b452e6430f56eea0e5ae769bba5517ce8efa563b3ff9170
MD5 b9168128acbf145dc6b4e3665d20130a
BLAKE2b-256 3bc43e729698cd388e54b020bb713b5db4613eb977fd5aabd7c5bd19f9e505af

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page