PhotometryFit.jl

A simple package to fit photometry data to different spectral distributions.

Installation

Paste this into the Julia REPL:

import Pkg
Pkg.add(url="https://github.com/aryavorskiy/PhotometryFit.jl")

Example usage

As an example let us fit the SN2013fs photometry data using the black body spectrum.

using PhotometryFit
using Plots                     # Visualization
using DelimitedFiles            # Reading data files
import DustExtinction: CCM89    # Cardelli et al. extinction curve
import UnitfulAstro: ly         # Astronomical measurement units

ser = read_photometry_data(                         # Read photometry data
    FilterFolder("data/Filters/", :photon),         # Filters info is located in this folder
    "data/data_13dqy_formatted_for_package.txt",    # And the photometry data is here
    unit=Flux(dist=160e6ly))        # Photometry data is provided in flux values, star is 160Mly far away

for (filter, s) in ser                              # Add relative error
    lambda_eff(filter) < 3000 && continue
    @. s.err = √(s.err^2 + (s.val * 0.1)^2)
end

dates = readdlm("data/13dqy_int_dates.txt") |> vec  # Dates where we will evaluate the spectrum

model = Extinction(BlackBodyModel(), CCM89(Rv=3.08), Av=0.035 * 3.08)
fit_ser = fit(ser, model, dates)                    # Fit using the BB model with extinction
scatter(fit_ser)                                    # Plot

This code yields the following picture:

Note that you may need to install Plots, UnitfulAstro, DustExtinction packages. You can do this as follows:

import Pkg
Pkg.add("Plots")
Pkg.add("UnitfulAstro")
Pkg.add("DustExtinction")