Skip to main content

Returns line profiles from input spectra by fitting the stellar continuum and performing LSD

Project description

A.C.I.D v2 (Accurate Continuum fItting and Deconvolution)

ACID_v2 (https://github.com/Benjamin-Cadell/ACID_v2) is a fork of ACID (https://github.com/ldolan05/ACID) from the work of Lucy Dolan for her PhD. ACID_v2 improves on ACID by:

- Updating packages and code to work with newer and stable versions of python.

- Improving memory management so that ACID can be run on MacOS without crashes (ie extending compatibility to all POSIX systems)

- Adding additional kwargs to ACID to tailor output, including verbosity settings, MCMC number of steps, multiprocessing switch, and more.

- Utilising classes for both ACID and the result of ACID, allowing for analysis methods that can be found in the doccumentation.

The mathematical functions and method remain the same as ACID and are outlined in Dolan et al. 2024 (https://academic.oup.com/mnras/article/529/3/2071/7624678).

The documentation will be kept up to date with the latest function descriptions until at least 2029. Please note that this install is incompatible with Windows systems.

ACID is a technique that builds on traditional Least-Squares Deconvolution (LSD) by simultaneously fitting the stellar continuum and stellar line profile and performing LSD in effective optical depth.

In a basic sense, ACID simulatenously fits the stellar continuum and profile using a combination of LSD and MCMC techniques. The spectra are then continuum corrected using this continuum fit. LSD is then run on the continuum corrected spectra to return high-resolution line profiles for each spectrum.

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

acid_code_v2-1.0.2.tar.gz (98.5 MB view details)

Uploaded Source

Built Distribution

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

acid_code_v2-1.0.2-py3-none-any.whl (31.6 kB view details)

Uploaded Python 3

File details

Details for the file acid_code_v2-1.0.2.tar.gz.

File metadata

  • Download URL: acid_code_v2-1.0.2.tar.gz
  • Upload date:
  • Size: 98.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for acid_code_v2-1.0.2.tar.gz
Algorithm Hash digest
SHA256 49b8360697b347d075c9aa10dbcb13d04ba9b09c908fc7b4f36ea4174c1db5d2
MD5 ac9adca8fe5f4f99bcfc80a8df36d1c2
BLAKE2b-256 22942abd2e6fc14b8e50258b3081f241fccd4d492c4f97692c111bdf2a5c15ed

See more details on using hashes here.

File details

Details for the file acid_code_v2-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: acid_code_v2-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 31.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for acid_code_v2-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 7ad0db76e6530f88da8e2638afe939df67537fb0c259b653c3dd719531d594cb
MD5 1645486fb2f66638b4fb7cc58d3b31c5
BLAKE2b-256 29814a313d07f291fea9e967b97d8a2a7203e2d5fa3191316e96b5a024559cac

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