CSST-feh 0.0.7

Two packages that can be used to estimate the metallicity of stars from the CSST filter systems

CSST_parameter

The code is used to estimate the metallicity and effective temperature of stars from the CSST broad-band filter systems. It is worth noting that only FGK-type stars are valid. \

How to install

#from PyPI
pip install CSST

Quick start

The input are NUV, u, g, i, z, y magnitudes and color error. An assumption that magnitudes are independent Gaussian variables is made. We recommend that the error of the color should not be larger than 0.025 mag.
You can precess the data through the command line like this.

from CSST import CSST
CSST.CSST_parameter(NUV,u,g,i,z,y,error) 

The output is one file named CSST_parameter.csv, which stores the photometric metallicity and the effective temperature of the stars.\

An example

If a file (a.csv) is given, NUV, u, g, i, z, y 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('a.csv')
NUV0=data.loc[:,['NUV']].values
u0=data.loc[:,['u']].values
g0=data.loc[:,['g']].values
i0=data.loc[:,['i']].values
z0=data.loc[:,['z']].values
y0=data.loc[:,['y']].values
NUV,u,g,i,z,y=NUV0.flatten(),u0.flatten(),g0.flatten(),i0.flatten(),z0.flatten(),y0.flatten()
# give the color error
error=(0.01**2+0.01**2)**0.5
# estimate the parameter of the stars 
from CSST import CSST
CSST.CSST_parameter(NUV,u,g,i,z,y,error)           

The output is one file named CSST_parameter.csv, which stores the photometric metallicity and the effective temperature of the stars.

API

CSST_parameter(NUV,u,g,i,z,y,error)
       
Args:      
    
    NUV: array-like, shape (n, )
       CSST NUV band
    
    u: array-like, shape (n, )
       CSST u band
    
    g: array-like, shape (n, )
       CSST g band
       
    i: array-like, shape (n, )
       CSST i band

    z: array-like, shape (n, )
       CSST z band
       
    y: array-like, shape (n, )
       CSST y band           
       
    error: float
       color error.