updated README.md

README.md

-## csst_proto 
+## csst_common 
 [![Documentation Status](https://readthedocs.org/projects/csst-proto/badge/?version=latest)](https://csst-proto.readthedocs.io/en/latest/?badge=latest)
  
 CSST L1 pipeline prototype.
@@ -6,7 +6,7 @@ CSST L1 pipeline prototype.
 ## homepage
 
 This code is available at *CSST GitLab*:
-- [https://csst-tb.bao.ac.cn/code/csst-l1/csst_proto](https://csst-tb.bao.ac.cn/code/csst-l1/csst_proto).
+- [https://csst-tb.bao.ac.cn/code/csst-l1/csst_common](https://csst-tb.bao.ac.cn/code/csst-l1/csst_common).
 
 ## documentation
 
@@ -21,11 +21,11 @@ A sphinx-based documentation is available at
 
 ## installation
 
-`csst_proto` can be installed with the following shell command
+`csst_common` can be installed with the following shell command
 
 ```bash
-git clone https://csst-tb.bao.ac.cn/code/csst-l1/csst_proto.git
-cd csst_proto
+git clone https://csst-tb.bao.ac.cn/code/csst-l1/csst_common.git
+cd csst_common
 pip install -r requirements.txt
 python setup.py install
 ```
@@ -33,23 +33,45 @@ python setup.py install
 or a single-line command
 
 ```bash
-sh -c "$(curl -fsSL https://csst-tb.bao.ac.cn/code/csst-l1/csst_proto/-/raw/main/install.sh)"
+sh -c "$(curl -fsSL https://csst-tb.bao.ac.cn/code/csst-l1/csst_common/-/raw/main/install.sh)"
 ```
 
 ## instruction
 
-A simple example on how to use this package:
-
+how to import CSST parameters:
 ```python
-from csst_proto.top_level_interface import flip_image
-from astropy.io import fits
+from csst_common.params import cp
+print(cp)
+print(cp.mbi.DETECTOR2FILTER)
+```
 
-# read an L0 image
-img = fits.getdata("CSST_MS_SCI_06_L0_img.fits")
-# flip the image
-img_flipped = flip_image(img=img)
+how to use data_manager
+```python
+from csst_common.data_manager import CsstMbiDataManager
+dm = CsstMbiDataManager(...)
+# access L0 directory
+dm.dir_l0
+# access L1 directory
+dm.dir_l1
+# access dir_pcref
+dm.dir_pcref
+# access path_aux
+dm.path_aux
+# access ver_sim
+dm.ver_sim
+# access target detectors
+dm.target_detectors
+# access available detectors
+dm.available_detectors
+# define an L1 file (detector-specified)
+dm.l1_detector(detector=6)
+# define an L1 file (non-detector-specified)
+dm.l1_file("flipped_image.fits")
 ```
 
 ## algorithm description
 
-The `csst_proto` uses an awesome algorithm based on `numpy.ndarray` indices to flip images.
+The `csst_common` provides some common modules for CSST pipeline.
+
+- `csst_common.parameters`
+- `csst_common.data_manager`