CSST_parameter

The code is used to estimate the metallicity and effective temperature of the 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. 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.