# CSST_feh
The code is used to estimate the metallicity of stars from the CSST filter systems. It is worth noting that only FGK-type stars are valid. \
dwarf_feh is a astronomy Python package specifically designed to estimate the metallicity of the dwarf stars from the CSST filter systems.\
giant_feh is a astronomy Python package specifically designed to estimate the metallicity of the giant stars from the CSST filter systems.
# How to install
#from PyPI
python3 -m pip install CSST_feh
# Quick start
The input are u, g and i magnitudes and color error. The three magnitudes can be given from photometric data. An assumption that magnitudes are independent Gaussian variables is made. We recommend that the error of the magnitude should not be larger than 0.025 mag. The color error represents the combination of the error of two magnitudes.\
If you want to estimate the metallicity of the dwarf stars, you should use dwarf_feh package.
from CSST_feh import dwarf_feh
dwarf_feh.dwarf_feh(u,g,i,error)
The output is one file named dwarf_feh_predicted.csv, the first column stores the photometric metallicity and the secnd column stores the random error of photometric metallicity.\
For the giant stars, you should use giant_feh package.
from CSST_feh import giant_feh
giant_feh.giant_feh(u,g,i,error)
The output is one file named giant_feh_predicted.csv, the first column stores the photometric metallicity and the secnd column stores the random error of photometric metallicity.
# An example
If a file (dwarf_feh.csv) is given, u, g, i magnitudes are contained in this file. Once the color error is given, you can precess the data through the command line like this.
py
import pandas as pd
data=pd.read_csv('dwarf_feh.csv')
u0=data.loc[:,['u']].values
g0=data.loc[:,['g']].values
i0=data.loc[:,['i']].values
u,g,i=u0.flatten(),g0.flatten(),i0.flatten()
# give the color error
error=(0.01**2+0.01**2)**0.5
# estimate the metallicity of the dwarf stars
from CSST_feh import dwarf_feh
dwarf_feh.dwarf_feh(u,g,i,error)
The output is one file named dwarf_feh_predicted.csv, the first column stores the photometric metallicity and the secnd column stores the random error of photometric metallicity.
# API
dwarf_feh(u,g,i,error)
Args:
u: array-like, shape (n, )
CSST u band
g: array-like, shape (n, )
CSST g band
i: array-like, shape (n, )
CSST i band
error: float
color error. An assumption that (u-g) and (g-i) are independent Gaussian variables is made.
giant_feh(u,g,i,error)
Args:
u: array-like, shape (n, )
CSST u band
g: array-like, shape (n, )
CSST g band
i: array-like, shape (n, )
CSST i band
error: float
color error. An assumption that (u-g) and (g-i) are independent Gaussian variables is made.
