InstanceCatalogMaker.py 文件源码

python
阅读 23 收藏 0 点赞 0 评论 0

项目:ImSimDeep 作者: jchiang87 项目源码 文件源码
def make_instance_catalog(self, obsHistID, band, boundLength, outfile=None):
        """
        Method to create instance catalogs.

        Parameters
        ----------
        obsHistID : int
            obsHistID for the desired visit from the opsim db file.

        band : str
            Desired LSST filter to use, ugrizy.

        boundLength : float
            Radius in degrees of sky cone in which to produce objects.

        outfile : str, optional
            File name of the instance catalog to be produced.  If None,
            a default name will be generated, e.g.,
            phosim_input_0000230_r_0.3deg.txt.
        """
        if outfile is None:
            outfile = 'phosim_input_%07i_%s_%.1fdeg.txt' % (obsHistID, band,
                                                            boundLength)
            obs_md = self.gen.getObservationMetaData(obsHistID=obsHistID,
                                                     boundLength=boundLength)[0]
        do_header = True
        for objid in self.star_objs:
            self.logger.info("processing %s", objid)
            db_obj = CatalogDBObject.from_objid(objid, **self.db_config)
            phosim_object = PhoSimCatalogPoint(db_obj, obs_metadata=obs_md)
            if do_header:
                with open(outfile, 'w') as file_obj:
                    phosim_object.write_header(file_obj)
                do_header = False
            phosim_object.write_catalog(outfile, write_mode='a',
                                        write_header=False,
                                        chunk_size=20000)

        for objid in self.gal_objs:
            self.logger.info("processing %s", objid)
            db_obj = CatalogDBObject.from_objid(objid, **self.db_config)
            phosim_object = PhoSimCatalogSersic2D(db_obj, obs_metadata=obs_md)
            phosim_object.write_catalog(outfile, write_mode='a',
                                        write_header=False,
                                        chunk_size=20000)
评论列表
文章目录


问题


面经


文章

微信
公众号

扫码关注公众号