Skip to main content

optsys - Integrated toolkit for calculations of optical absorptions from MWAA or BLAnCA data

Project description

OPTSYS quick start guide

Installation

In a Linux terminal, create a virtual environment:

python3 -m venv optsys

This will create a virtual environment where you can install the software without affecting any other installation present in the system; to activate the environment:

source optsys/bin/activate

To make the activation automatic on login, you have to modify the terminal configuration file .bashrc. Open it with any text editor (create it if it doesn't exist) and write this line at the bottom: source optsys/bin/activate

Once the environment is activated, you can install the software with the following command:

python3 -m pip install optsys

The environment needs to be activated any time you want to use the toolkit.

Calculating the integrals for MWAA

You need an .xls(x) file for the loaded filters black.xlsx, an .xls(x) file for the blank reference white.xlsx, an .xlsx gain and dark file gd.xlsx (the files can have any name, the names I wrote here are just as an example). You also need to create a folder to store all the output of the calculations, results/. The black, white and gains files have to follow exactly the provided templates.

The command for this step is:

mpre -b black.xlsx -w white.xlsx -g gd.xlsx -o results/ --name analysis_name

The integrals for the black and white filters will be saved in the results/ folder, in a human-readable .csv format and in a machine-readable .json format (which the ABS calculation routine will use as input).

Calculating the integrals for BLAnCA

You need an .xlsx file for the loaded filters black.xlsx, with multiple tabs. Each tab contains the spectra for a filter, and its name corresponds to the filter name. Another file for the blank reference white.xlsx, with only one tab. If in doubt, check the provided templates.

The command for this step is:

bpre -b black.xlsx -w white.xlsx -o results/ --name analysis_name

where results/ is the folder for the output (it does not need to be created in advance, unlike the MWAA case). The integrals for the black and white filters will be saved in the results/ folder, in a human-readable .csv format and in a machine-readable .json format (which the ABS calculation routine will use as input).

ABS minimization

The integral calculation for MWAA and BLAnCA produce an output in the same exact format, so they can be both used for the same minimization procedure. Like previous versions, the configuration for this step is contained in a JSON file, that has to contain all the keywords as the provided template. Generally, the only options that you will need to change are the following:

key type explanation
b_integrals string The (relative) path to the black integrals file.
w_integrals string The (relative) path to the black integrals file.
out_folder string The (relative) path to the output folder.
name string The analysis name.
tolerance float The tolerance for the minimization. The default value of 1e-3 is good enough in most cases.

Start the analysis with

abs config.json

where config.json is the path to the configuration file.

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

optsys-1.1.1.tar.gz (12.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

optsys-1.1.1-py3-none-any.whl (90.2 kB view details)

Uploaded Python 3

File details

Details for the file optsys-1.1.1.tar.gz.

File metadata

  • Download URL: optsys-1.1.1.tar.gz
  • Upload date:
  • Size: 12.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for optsys-1.1.1.tar.gz
Algorithm Hash digest
SHA256 d54f88246d271dc48c20b699365580f5e326045e40d183400b7059cea587ddc3
MD5 f9ab4631cca6ee9adb38677447c795d4
BLAKE2b-256 c2b8933b50dc87addc03d36e826b89c33023797b9ef55f971939defd58bbc7d0

See more details on using hashes here.

File details

Details for the file optsys-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: optsys-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 90.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for optsys-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5b8b3d3955279582ca9e437969ba67f8f9152439f006ec6166f7a1a2be267ad2
MD5 05beccb4173a60ff2f595fa97f73814c
BLAKE2b-256 d82d3b367bffb24bf51b3065ac4bd4240afa145a563e116d785916cc9494a0e8

See more details on using hashes here.

Supported by

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