Representations of spectral coordinates in FITS

Abstract

Greisen & Calabretta describe a generalized method for specifying the coordinates of FITS data samples. Following that general method, Calabretta & Greisen describe detailed conventions for defining celestial coordinates as they are projected onto a two-dimensional plane. The present paper extends the discussion to the spectral coordinates of wavelength, frequency, and velocity. World coordinate functions are defined for spectral axes sampled linearly in wavelength, frequency, or velocity, linearly in the logarithm of wavelength or frequency, as projected by ideal dispersing elements, and as specified by a lookup table.

25 pages, 5 figures

References in corpus (4)

• First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Preliminary Maps and Basic Results
• Representations of celestial coordinates in FITS
• Representations of world coordinates in FITS
• The fundamental definition of 'radial velocity'

Cited by in corpus (41)

• Astropy: A Community Python Package for Astronomy
• AstroImageJ: Image Processing and Photometric Extraction for Ultra-Precise Astronomical Light Curves (Expanded Edition)
• AstroImageJ: Image Processing and Photometric Extraction for Ultra-Precise Astronomical Light Curves
• The Data Reduction Pipeline for the SDSS-IV MaNGA IFU Galaxy Survey
• Representations of celestial coordinates in FITS
• GASS: The Parkes Galactic All-Sky Survey. I. Survey Description, Goals, and Initial Data Release
• DAOSPEC: an automatic code for measuring equivalent widths in high-resolution stellar spectra
• Spectral Mapping Reconstruction of Extended Sources
• The Gaia FGK Benchmark Stars - High resolution spectral library
• Spectral Line Identification and Modelling (SLIM) in the MAdrid Data CUBe Analysis (MADCUBA) package: An interactive software for data cube analysis
• A spatially resolved study of cold dust, molecular gas, HII regions, and stars in the $z=2.12$ submillimeter galaxy ALESS67.1
• pyspeckit: A spectroscopic analysis and plotting package
• K2P${}^2$ $-$ A photometry pipeline for the K2 mission
• SSTRED: Data- and metadata-processing pipeline for CHROMIS and CRISP
• The Effelsberg-Bonn HI Survey: Data reduction
• LSDCat: Detection and cataloguing of emission-line sources in integral-field spectroscopy datacubes
• The Visible Spectro-Polarimeter of the Daniel K. Inouye Solar Telescope
• Localizing Sources of Variability in Crowded TESS Photometry
• Deep 21-cm HI Observations at z~0.1: The Precursor to the Arecibo Ultra Deep Survey
• High-Precision Orbit Fitting and Uncertainty Analysis of (486958) 2014 MU69
• Automated reduction of submillimetre single-dish heterodyne data from the James Clerk Maxwell Telescope using ORAC-DR
• Learning from 25 years of the extensible N-Dimensional Data Format
• Spectroscopic Analysis in the Virtual Observatory Environment with SPLAT-VO
• Representations of Time Coordinates in FITS
• DIRBE Comet Trails
• Learning from FITS: Limitations in use in modern astronomical research
• The "Green Bean" Galaxy SDSS J224024.1--092748: Unravelling the emission signature of a quasar ionization echo
• The data processing pipeline for the Herschel SPIRE Fourier Transform Spectrometer
• HDFITS: porting the FITS data model to HDF5
• Raman mapping of photodissociation regions
• AST: A library for modelling and manipulating coordinate systems
• HETDEX Public Source Catalog 1 -- Stacking 50K Lyman Alpha Emitters
• Green Bank Telescope Observations of ${}^3\mathbf{H}{\mathbf{e}}^{+}$: Planetary Nebulae
• High-Performance Image Synthesis for Radio Interferometry
• Turbulence in compact to giant H II regions
• Gas and stellar dynamics in Stephan's Quintet: Mapping the kinematics in a closely interacting compact galaxy group
• Mining the GPIES database
• VIALACTEA knowledge base homogenizing access to Milky Way data
• Using Lyman Alpha Absorption to Measure the Intensity and Variability of $z\sim 2.4$ Ultraviolet Background Light
• HETDEX Public Data Release 1: Source Catalog 2 and Data Cubes from ~90 sq deg of Integral-Field Optical Spectroscopy
• Dimensional Analysis applied to Spectrum Handling in Virtual Observatory Context