L209

China's Chang'e-4 probe entered a planned orbit Sunday morning // to prepare for the first-ever soft landing on the far side of the moon, the China National Space Administration announced.

The probe has entered an elliptical lunar orbit// with the perilune// at about 15 km and the apolune at about 100 km at 8:55am Beijing Time, said CNSA.
Since the Chang'e-4 entered the lunar orbit on December 12, the ground control center in Beijing has trimmed the probe's orbit twice, and tested the communication link between the probe and the relay satellite Queqiao, or Magpie Bridge, which is operating in the halo orbit around the second Lagrangian (L2) point of the earth-moon system.

The space engineers also checked the imaging instruments and ranging detectors on the probe to prepare for the landing.

The control center will choose a proper time to land the probe on the far side of the moon, according to CNSA.

The Chang'e-4 probe, including a lander and a rover, was launched by a Long March-3B carrier rocket on December 8 from the Xichang Satellite Launch Center in southwest China's Sichuan Province.

转载于:https://www.cnblogs.com/huangbaobaoi/p/10201605.html

from torch import device from torch.cuda import is_available class Config: def __init__(self, mode="Test"): # path to image data, results, and checkpoints self.img_dir = "/mnt/share/data/Image-data" self.result_dir = "../result" self.checkpoint_dir = "../checkpoint" # mfd-net parameters if mode == "MFD-Net": self.patch_size = (64, 64) # projection patch size self.n_frames = 3 # frame sequence length self.buffer_size = 5 # buffer size self.lr = 1e-4 # learning rate self.lr_decay = 0.1 # learning rate decay self.max_epoch = 50 # maximum epoch # testing parameters elif mode == "Test": self.n_frames_mpd = 3 # frame sequence length for MFD-Net else: raise NotImplementedError("Unknown mode: %s" % mode) # studies used for training, validation, and testing train_list = [ "L004", "L006", "L019", "L033", "L057", "L064", "L071", "L072", "L081", "L107", "L110", "L114", "L116", "L125", "L131", "L134", "L150", "L160", "L170", "L175", "L178", "L179", "L193", "L203", "L210", "L212", "L220", "L221", "L232", "L237", "L248", "L273", "L299",] # exclude L049 (incomplete) val_list = ["L229", "L148", "L077"] # replace L148 low-dose-projs/fs1/014149.dcm (collapsed metadata) test_list = [ "L014", "L056", "L058", "L075", "L123", "L145", "L186", "L187", "L209", "L219", "L241", "L266", "L277", ] # add prefix self.train_list = [item for item in train_list] self.val_list = [item for item in val_list] self.test_list = [item for item in test_list] # other shared parameters self.seed = 282050419277614211 # random seed self.batch_size = 16 # mini-batch size self.num_workers = 0 # parallel cores 解释
03-13
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