periapsis/__init__.py,sha256=SUmgDqAGPqChwRprEvi6L7Wu8CfLngFWTMCaCzOom30,3059
periapsis/data/__init__.py,sha256=3ooZ9Y-S4Bd5yqiWASB-epxpK33evlQsmGreWbI0ejM,224
periapsis/data/common.py,sha256=E_vrZKFqSOWlagmpEpbEPrgiTm3kcOBbVaKTBweTxAE,9957
periapsis/data/data.py,sha256=KxvBxartxpXvnKLO_VDPzb0Gbwfjaq-lOqayGI52f1U,2886
periapsis/data/gaia.py,sha256=5Ql9QYoLuhi7aG_z0_GBPhXjRqs69cdxhuPImqpUVas,6885
periapsis/data/joint_data.py,sha256=wHHldCCHQFvTsIxlW6f7eZmwGPxvftohMS13Zzg2bkw,13840
periapsis/fitting/__init__.py,sha256=rydUqI05RCf4Mk3qwctciTchpSTxqukacglWlvD8zLg,332
periapsis/fitting/fitter.py,sha256=qghJY0uhgMdgmUREiUl1JAZeEQzzHn5uV6bjisGKN9Y,4621
periapsis/fitting/mcmc.py,sha256=LMl5tihlWn3KBPZxqZ6N9BECRXD7VKcLDsYF1Uvk98c,16264
periapsis/fitting/mcmclinear.py,sha256=f1NjirkPRIQEyXcswJEFoNlALSfqNWp7LwLqPDqb2M8,13009
periapsis/fitting/results.py,sha256=GKaq6MtpDnlnxyn954ykitd5EgWZOScBAPdVH0XO7bo,10820
periapsis/fitting/ultranest.py,sha256=P32esc5I6N-07yVOfvWQa2JtxOCbPNIXNtMsCMm_j3E,9382
periapsis/fitting/ultranestlinear.py,sha256=xvJsvke0lEt1qQMkzeFiUOanZsJQBT9JoD0esacILHY,13034
periapsis/initial/__init__.py,sha256=mMSOzbaMdSXfseoauKWPzqbCx9HRbko6Q1vLofBPPVo,390
periapsis/initial/astrometry_initial.py,sha256=qJ55GolqtBLgmEMJPchV3WjaVbo7b4_KBxXjE-NJq1M,10454
periapsis/initial/gaia_initial.py,sha256=CD15qWOGBS-MojFLwUyGPn65uGNuhwIfVshRVoycWcE,5982
periapsis/initial/initial.py,sha256=PGJoxvWtulWqwgQajejva5HGhJBRMjo03Sg2ryAD92k,754
periapsis/initial/joint_initial.py,sha256=VxruhqJFVgrLqe-laebQkDMW6Ei1xhLpnJXcXMyS900,6728
periapsis/initial/rv_initial.py,sha256=c-GGtQdvXK_zhN6QeL-z4O_-PBZRWoa-cBk97oxmMwQ,5462
periapsis/model/__init__.py,sha256=CNIQrVb0bZW_n89Ry3J2DSqtIHy4Liv9ptqbuKzjYG4,45
periapsis/model/orbit.py,sha256=b66dKE7Zw-8yvHWAri5X2mqfzCw0VE0lWg2o_RyCdGk,14668
periapsis/params/__init__.py,sha256=9Bishi-o23TGUyHZNPX_bu93TLRst98jyYTpJ6QTupU,1739
periapsis/params/params.py,sha256=JT59jzYVWciibKTQbcJc_5WxWyAvvDKb85LZA3-m7Nc,17293
periapsis/params/transforms.py,sha256=w08Ga9npt6UABKBBUEzLXDDeZ_YnvNaArkeYNYbNru4,29441
periapsis/params/units.py,sha256=wf0d8_rsiwAq-BHHk0WG0gfDWJwRFRa5Zmcj3m6Vtf0,11443
periapsis/plotting/__init__.py,sha256=LdMWP14OS-gXCX482nq2Gt7N-w1aPeEp5Y5b9GG82o0,545
periapsis/plotting/plots.py,sha256=IqwmGvMmwXYAA-ksnroq6kNMOAAR5zNI_KWMBWtvXnc,46209
periapsis/prior/__init__.py,sha256=KJY0WNr-_ascWHGEHOHw2eQ5-I1R8vLnhvuRQKfMdjM,371
periapsis/prior/bounds.py,sha256=krD5iXqLqTgtm73u0M6qlZU7KC2-spie4u6kid4Y0qM,1164
periapsis/prior/fixed_prior.py,sha256=MyIym07xW6eAO4_Tb914D1j4ygJqfSguzAeDyOmDKjo,584
periapsis/prior/log_normal_prior.py,sha256=0U8Us7gUHrHwSzjW0nhJQhWFEpKRqoBpcp_83uFfkLs,1253
periapsis/prior/log_uniform_prior.py,sha256=8rsGXLZtv7rT686KhMxflBJlRR5AA929zvoprDCiGDE,1346
periapsis/prior/normal_prior.py,sha256=yynw5pU8Qe9zOCUgUnx-5A18Y-wTu9-RypcPeV2WEw0,1353
periapsis/prior/prior.py,sha256=YVYsgJrm_1qbeFOlcNIafQURyefDic0A9hGGt9wM1vk,370
periapsis/prior/uniform_prior.py,sha256=3UsljbvWHRWzKYUqwJol-ecrxj8KNG7U6B7mdIyyaGY,1232
periapsis/stats/__init__.py,sha256=ND2_Qet5sJsuE-7DrhXOj9QpHw6a9lKKBQH4d-h7Z94,148
periapsis/stats/stat_funcs.py,sha256=VBCVO36GgsILO1ztN8AeDJ_oTXY-m1z68lXuGTvhL4A,9274
periapsis/utils/helpers.py,sha256=41hovobEGkTFcQXMFEcTu0jvmzhj_My4sW3QhEgUq9k,19090
periapsis/utils/solvers.py,sha256=5qDSzw6DC07qoC-r-tBPbTJSNUm2Txb5ScvPSPHLKnM,7173
periapsis-0.99.4.dist-info/licenses/LICENSE,sha256=ERpW9m0NAMrWjhvlfgussi__jH1-XCcitA0AAeIm_as,1086
periapsis-0.99.4.dist-info/METADATA,sha256=dXUn69XHBE8SaXNQD_uCWMvi8AMHD8yiNK7Vttxlf3g,1678
periapsis-0.99.4.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
periapsis-0.99.4.dist-info/top_level.txt,sha256=J_211B1v-F59VStZltoaofVznn4GuXkJFoH0-7CwyCs,10
periapsis-0.99.4.dist-info/RECORD,,
