# README before using SUTRI Data

## Released data type

Current released SUTRI data are of Level 0.9 in FITS format.   
Level 0.9 FITS data are calibrated from the raw Level 0 data through following main processing steps:  
- dark field subtraction
- removal of stripes from CMOS detector
- fixing of hot pixels and bad pixels from cosmic rays and high-energy particles
- conversion from detector coordinate to the helioprojective-cartesian coordinate 
- standardization of filename and header info

Without flat-field correction, the current data are defined as Level 0.9. Level 1.0 data will be released after flat-field correction in the future.

Types and observational dates for current released data are listed as follows. Mp4 files are daily quick-look movies for viewing the released FITS data. 

| Type | Dates |
|:---:|:---:|
| Level 0.9 FITS | 2022-09-05 ~ 2022-12-25 | 
| Level 0.9 mp4 | 2022-09-05 ~ 2022-12-25 |

For saving the storage space, all the FITS files are compressed by GZIP, both IDL/SSW/readfits and Python/Astropy.io.fits can directly read '.fits.gz' files. 


## Color map for plotting SUTRI data

### in IDL

Get [color465.sav](https://sun10.bao.ac.cn/SUTRI/files/color465.sav), restore it, and construct the color table of SUTRI.
```IDL
restore, 'color465.sav'
tvlct, r, g, b
```

### in Python

Get [cmap465.npy](https://sun10.bao.ac.cn/SUTRI/files/cmap465.npy), and use the following segment in your code.
```py
import numpy as np
import matplotlib as mpl

cmap465 = np.load('cmap465.npy')
cmap465 = mpl.colors.ListedColormap(colors=cmap465)
```

## 

If you have any questions about using SUTRI data, please do not hesitate to [contact us](https://sun10.bao.ac.cn/SUTRI/iframes/team.html).