add image psf in get_PSF_SLS

import numpy as np

import observation_sim.psf.PSFInterpSLS as PSFInterpSLS

import observation_sim.psf.PSFInterp as PSFInterp

from observation_sim.instruments import Chip, Filter, FilterParam

import astropy.io.fits as fitsio

from observation_sim.instruments import Chip, FilterParam, Filter

import galsim

## 计算 0级或1级光谱在某个波长位置的PSF, 返回值是过采样的PSF，像元大小有CSST图像像元大小的1/2

## chipId 必须为[1,2,3,4,5,10,21,26,27,28,29,30]

    psf1, _ = psf_model.get_PSF(

                            chip, pos_img_local=pos_img, bandNo=bandNo, galsimGSObject=False, g_order=orders[order])

    fn = "psf.chip_{:}.order_{:}.wave_{:}.fits".format(chipID, order, wave)

    fn = "psf.chip{:}.order{:}.wave{:}.fits".format(chipID, order, wave)

    hdu = fitsio.PrimaryHDU()

    hdu.data = psf1

    hdu.header.set('pixScale', 5)

    hdu.writeto(fn, overwrite = True)

## 获得成像的PSF,PSF在波长区间分四段采样，返回4段的PSF，每个PSF代表不同band波长范围不同的四段psf，波长从小到大

## chipId 必须为[6,7,8,9,11,12,13,14,15,16,17,18,19,20,22,23,24,25]

## pos_img 为直接成像在图像上的位置,[x, y]

def getPSFImage(chipID = 6, pos_img = [6000, 4500], psf_pho_dir = "/nfsdata/share/CSSOSDataProductsSims/data/psfcube/set1_dynamic/"):

    chip = Chip(chipID=chipID)

    print('chip.bound::', chip.bound.xmin, chip.bound.xmax,

        chip.bound.ymin, chip.bound.ymax)

    # Setup Position on focalplane

        # try get the PSF at some location (1234, 1234) on the chip

    pos_img = pos_img

    x, y = pos_img

    x = x+chip.bound.xmin

    y = y+chip.bound.ymin

    pos_img = galsim.PositionD(x, y)

    # Setup sub-bandpass

    # (There are 4 sub-bandpasses for each PSF sample)

    filter_param = FilterParam()

    filter_id, filter_type = chip.getChipFilter()

    filt = Filter(

        filter_id=filter_id,

        filter_type=filter_type,

        filter_param=filter_param,

        ccd_bandpass=chip.effCurve)

    bandpass_list = filt.bandpass_sub_list

    for i in range(len(bandpass_list)):

        print(i, end=" ", flush=True)

        # say you want to access the PSF for the sub-bandpass at the blue end for that chip

        bandpass = bandpass_list[i]

        # Get corresponding PSF model

        psf_model = PSFInterp(chip=chip, npsf=100,

                                PSF_data_file=psf_pho_dir)

        psf = psf_model.get_PSF(

            chip=chip, pos_img=pos_img, bandpass=bandpass, galsimGSObject=False)

        fn = "psf_chip{:}.wave{:}.fits".format(chipID, i)

        hdu = fitsio.PrimaryHDU()

        hdu.data = psf

        hdu.header.set('pixScale', 5)

        hdu.writeto(fn, overwrite = True)

if __name__ == "__main__":

    chipid = 2

    pos_img = [6000, 4500]

    order = 1

    w = 5000

    get_SLS_PSF(chipID = chipid,pos_img = pos_img, order = order, wave = w)

    chipid = 7

    pos_img = [6000, 4500]

    getPSFImage(chipID = chipid, pos_img = pos_img)