Issue |
A&A
Volume 688, August 2024
|
|
---|---|---|
Article Number | A69 | |
Number of page(s) | 13 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202449224 | |
Published online | 06 August 2024 |
LIME: A LIne MEasuring library for large and complex spectroscopic data sets
I. Implementation of a virtual observatory for JWST spectra
1
Departamento de Astronomía, Universidad de La Serena,
Av. Juan Cisternas 1200 Norte,
La Serena,
Chile
e-mail: vital.fernandez@userena.cl
2
Michigan Institute for Data Science, University of Michigan,
500 Church Street,
Ann Arbor,
MI
48109,
USA
3
ARAID Foundation, Centro de Estudios de Física del Cosmos de Aragón (CEFCA), Unidad Asociada al CSIC,
Plaza San Juan 1E,
44001
Teruel,
Spain
4
Gemini Observatory/NSF’s NOIRLab,
Casilla 603,
La Serena,
Chile
5
Universidad Nacional Autonoma de México, Instituto de Astronomía (IA),
Apdo. postal 106, C.P. 22800 Ensenada,
Baja California,
Mexico
6
Instituto de Ciencias Físicas, Universidad Nacional Autonoma de México,
Av. Universidad s/n,
62210
Cuernavaca,
Mor.,
Mexico
Received:
12
January
2024
Accepted:
8
May
2024
Context. The upcoming generation of telescopes, instruments, and surveys is poised to usher in an unprecedented “Big Data” era in the field of astronomy. Within this context, even seemingly modest tasks such as spectral line analyses could become increasingly challenging for astronomers.
Aims. In this paper, we announce the release of LIME. This package is tailored for multidisciplinary observations with long-slit and integral field spectroscopy (IFS) support. LIME functions encompass the reading of observational files, detecting lines, conditioned line fitting, and the plotting and storage of results. Most importantly, these measurements are structured to support the subsequent chemical and kinematic analyses.
Methods. To reduce the coding effort required from users, we introduced a notation system for atomic transitions that is accessible to humans and machine-readable. Along with this system, we present an extensive database of line bands, spanning from the ultraviolet to the infrared wavelength range. Additionally, we propose a model designed to train machine learning algorithms in line detection. LIME features a comprehensive online documentation, which details the command attributes and includes several tutorials. These tutorials range from measuring a single line to analyzing an entire IFS data cube.
Results. This library functions and measurements are showcased in an online virtual observatory. The data in this interactive website come from the JWST NIRSpec observations of the CEERs survey. In this regard, LIME offers improvements related to the dissemination and accessibility of astronomical spectra.
Key words: methods: data analysis / techniques: spectroscopic / galaxies: abundances / galaxies: kinematics and dynamics
© The Authors 2024
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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