Codes and tools for IGRINS data: Synthetic grid

This dataset contains the synthetic spectra grid used in López-Valdivia et al. (2021). The synthetic grid comprises 16875 models and it covers the parameter space as follow: 3000 ≤ Teff ≤ 5000 K, steps of 100 K up to 4000 K, then 250 K. 3.0 ≤ log g ≤ 5.0 dex, steps of 0.5 dex 0.0 ≤ B ≤ 4.0 kG, steps of 0.5 kG 2.0 ≤ v sin i ≤ 50 km/s, steps of 2 km/s The grid is saved as follow: flux-jun7.npy -- NumPy array containing the flux of the models. wlrf-jun7.npy -- NumPy array containing the wavelength vector. etiq-jun7.npy -- NumPy array containing the stellar parameters of each model grid-7jun.txt -- CSV file with the information of the stellar parameters of each model. Example of ploting an specific model in python import numpy as np import matplotlib.pyplot as plt x = np.load('wlrf-jun7.npy') #Loading wavelength y = np.load('flux-jun7.npy') #Loading flux z = np.load('etiq-jun7.npy') #Loading model parameters #Ploting model store at index 9000 plt.plot(x,y[9000,:]) plt.show() #printing the stellar parameters of the model that we plotted. print(z[9000]) # This should be 3800 K, 3.0 dex, 0.0 kG, 2.0 km/s