SpectRes: A Fast Spectral Resampling Tool in Python

TL;DR

SpectRes is a Python tool that efficiently resamples spectral data onto various wavelength grids, preserving flux and uncertainties, useful for data binning, synthetic photometry, and spectral fitting.

Contribution

It introduces a fast, flexible Python function for spectral resampling that handles arbitrary wavelength grids while maintaining flux integrity.

Findings

Supports non-uniform wavelength grids

Preserves integrated flux during resampling

Enhances spectral data analysis workflows

Abstract

I present a fast Python tool, SpectRes, for carrying out the resampling of spectral flux densities and their associated uncertainties onto different wavelength grids. The function works with any grid of wavelength values, including non-uniform sampling, and preserves the integrated flux. This may be of use for binning data to increase the signal to noise ratio, obtaining synthetic photometry, or resampling model spectra to match the sampling of observed data for spectral energy distribution fitting. The function can be downloaded from https://www.github.com/ACCarnall/SpectRes.