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analysis_diagism

In this repository we found all the information for the analysis of the DiagISM web app

https://github.com/aframosp/analysis_diagism

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

In this repository we found all the information for the analysis of the DiagISM web app

Basic Info
  • Host: GitHub
  • Owner: aframosp
  • License: gpl-3.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 47.5 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created almost 4 years ago · Last pushed almost 4 years ago
Metadata Files
Readme License Citation

README.md

Reproduction repository for "Diagnosing the interstellar medium of galaxies with far-infrared emission lines III. Physical parameters of observed galaxies"

Binder <!-- DOI -->

DOI

This repository contains data and code to reproduce the results of the research "Diagnosing the interstellar medium of galaxies with far-infrared emission lines III. Physical parameters of observed galaxies". Each step of the work is described in a step-by-step file with their respective Jupyter notebooks.

Software requirements

The most important software packages to work with the files in this repository are in environment.yml. This file is also used to launch a Binder to open the Jupyter notebooks interactively. We print all the packages in a given notebook using the IPython magic extension watermark. We also use autotpep8 to format the code to the PEP 8 style guide.

Repository Organization

The following is the organization of the repository with a simple description of the files or folder contents 

.
├── CITATION.cff       <- Metadata for citation
├── LICENSE            <- License file
├── environment.yml    <- File containing the required software
├── README.md          <- This file
├── StepByStep.md      <- File describing the steps taken in this work
├── data
│   ├── interim        <- Intermediate data that has been transformed
│   ├── processed      <- Results from DiagISM and final data
│   └── raw            <- Original data from Paper II
├── notebooks          <- Jupyter notebooks
└── figures            <- Figures created from the Jupyter notebooks

Estimated physical parameters

The file containing the estimated physical parameters from the observational sample can be found in the predictionsDiagISMobsSample.csv file.

Missing data

Unfortunately not all the raw data is available in the repository. Data from the SIDES lightcone catalog is ~2Gb, then we decided not to included in this repository, but if you want to use it you can check the webpage to obtain the catalogue.

Beside this, the mock_sample.csv file is not stored in Github (~100Mb) and need to be stored locally by running the notebook AppAPredictionsnewlinreg.

Owner

  • Name: Andrés Ramos
  • Login: aframosp
  • Kind: user
  • Company: RIVM

Data Steward // PhD Astronomy, MSc Astronomy - Data Science, BSc Physics

Citation (CITATION.cff) 

# YAML 1.2
---
authors: 
  -
    family-names: "Ramos Padilla"
    given-names: "Andres Felipe"
    orcid: "https://orcid.org/0000-0002-4561-2452"
cff-version: "1.1.0"
keywords: 
  - astronomy
  - DiagISM
  - Galaxies
  - Evolution
  - star formation
  - ISM
  - high-redshift
  - lines and bands
  - numerical
license: "GPL-3.0"
message: "If you use this web app, please cite it using these metadata."
repository-code: "https://github.com/aframosp/Analysis_DiagISM"
title: Reproduction repository for "Diagnosing the interstellar medium of galaxies with far-infrared emission lines III. Physical parameters of observed galaxies"
...

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Dependencies

environment.yml pypi
  • astropy ==5.0
  • atom-ml ==4.10.0
  • autopep8 ==1.5.7
  • matplotlib ==3.4.3
  • numpy ==1.22.1
  • pandas ==1.4.0
  • rpy2 ==3.4.5
  • scikit-learn ==1.0.1
  • scipy ==1.7.1
  • watermark ==2.2.0