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optical-regeneration/data/npys
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Joseph Hopfmüller 33141bdf41 add datasets with PMD and dispersion
2024-12-29 15:59:01 +01:00
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0b3ed49fd9fc9442c127a3501bdd482d.npy
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0b6be79b939e9b06d623e5ea1a45f276.npy
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0ba5d7be1a9901c3b7f39a762be35bec.npy
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0c170fbe15a4ae9f04670694fdd3c44d.npy
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0d714a07c14317d9c01da8722f1c4d2d.npy
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0ec96b9dedb6f0b8a5716d5082548c61.npy
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0efefcb38e0958bc61d41b8ae8d6e8ba.npy
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1c72c725fa725bd42b9ae9860e84a511.npy
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2b0d0f17a5ffb88a118abf75b866e3a0.npy
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3ca984817ae6269ae94a720ba111096d.npy
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3d9533f810767c59ab224cbad95d1e0e.npy
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3e8d8834ce3bc4ceea8a4da93d5d4c7e.npy
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3facf00d4dbc2547710eb6fbd6af7cf7.npy
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4f722d052fae1b4561e9a706ecfb6f2f.npy
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4f783c1b46b0b9189bd55dd0d9386301.npy
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4f3740d6d43ccbfaa1d3125e138bc761.npy
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5a9da4af15801ff3ec8205b7a2134954.npy
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5c64c64d747689e37091886e46d0a934.npy
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5d4d872fb3e9ed8588535dd006643eb9.npy
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5d775c0087b5389f79ff09112a5da948.npy
add training data, y-pol phase shifted by 90 deg
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5e40e1adf36781ee3247d14dd7030768.npy
add datasets to LFS
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6bcd6a928693d234095b883510ea0b4c.npy
add datasets to LFS
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6ce6214350f83fb8b01d7cc79b95166a.npy
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6ec971712f975a84a2f6d8a07b12d067.npy
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7a9fa7697e2e1e161794c1f87b4c2e5f.npy
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7b4ca62653a7e873ecd4a7b644f52ca3.npy
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7bd1ceb26ea00bf05759ff10e3b1eb30.npy
add datasets to LFS
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7cb0340abb0154d0efafa5a8c7b70944.npy
add datasets with PMD and dispersion
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7f50ecd8f03a433ed28394f9cd8a1a35.npy
add new training data
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8b4cce81ecb97bdec85bd83b11bb1dbc.npy
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8b42db633fdcdb1a80d255e4449ebe17.npy
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8dc2c2f7c16f81b5f57626735e2ce262.npy
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9a01b6292f3f8f2d2da040e9224835a4.npy
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9c9aecd40111d8ed6fdafdbea944302a.npy
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01f04a2ac01a23a2b91dca1186f3cf07.npy
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07a773f555168ba0c8a4997506378bc2.npy
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09a0b102a8633e0a5945f27e44c96318.npy
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17ad920d43bab11430fc81e550e88ae1.npy
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19fcd8524582a050e3738efa672fcc64.npy
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22bffed8f8ec19a8bc2f03f55bdae345.npy
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26fe6e57949360e7a8892899e16dda2d.npy
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31bb5ab8aaf52b275a29f03a9545bd75.npy
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32a62b96a4d6c119e654efdf8eafba70.npy
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34d971f59adfa4d2d4693ba82f5d82f8.npy
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37d355f5d6ba72347d9abd41379caf5d.npy
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38ed8056319298e97b10062f6892588b.npy
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39d009618e14a82fdcce8299fe8025c7.npy
add datasets with PMD and dispersion
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40aa90a155ac67f34d5bf6ebf988421c.npy
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45c2e21346a4e3487f9490fd9bd12eaf.npy
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50f567b8153686ca05a3fa20ccc6a9b2.npy
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59aa2425acb9afb99f3a9b3563df1398.npy
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59c91bdf18d9d58fbebd23aed93b3d16.npy
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68c8067f1d602a2afce20b08eeafa2f0.npy
add datasets with PMD and dispersion
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69e00c765e0eaef23b838801f0e45ca6.npy
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78f632c1bcefb2fb732d52e9ee8c93de.npy
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82d240651360cdf3cdb6543e2393e551.npy
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88ae74ada87504ee54413b6f71dea65c.npy
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88fcc5cfd10bb0006307fe8dc40cedcb.npy
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90afa4905e8d1dade0af83c4b7a90885.npy
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90e6263242153f33efd8afdeba98ca22.npy
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92bd66396573055bad726193e61877a5.npy
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156eb038fbb9a829e167ee6eff8df6fa.npy
add datasets to LFS
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246cf49f6c30f717b956d96deb31a5ab.npy
add datasets to LFS
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255fb68f56ee9f9b1297bfb4a1a19d95.npy
add datasets to LFS
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290c74cedb7a35eef6221e6120ed6019.npy
add datasets with PMD and dispersion
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306a8197bb4b609b22f39f8c4b333cc5.npy
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359aded42862320560edeb4c6d942622.npy
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395d3d44c82de26c0daa10da67d070e7.npy
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445b029eb26fba84333d7ed701ad637d.npy
add datasets with PMD and dispersion
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480b8d9dfafe75bccc61d78c04bff4ef.npy
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553f6eb9d535d3a668ff3e2572d3105d.npy
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562a8d0f3982c3f7b6af4e51aaa16879.npy
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563bfddd188cb8db9d905051876c5897.npy
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884fa3cd51e10e14e0502ead6ae6dc44.npy
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0415fef8d61c62a89def96313ee22202.npy
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1506dbe6b4855599647d54c9b83e4913.npy
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1984d8be6bed716956827e612d0dc89a.npy
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3347eb673371b4b6118123df4ca43e11.npy
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10503c5808359136376a663b39fe9451.npy
add datasets with PMD and dispersion
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20959ec61eeecedc5baa28ca7a25c6a2.npy
add datasets with PMD and dispersion
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28194c4bf7b9069c3871dec1b391ae18.npy
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32790d7e3f3efa904e85cf0db0ba24b7.npy
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37068f096e600f6183189fdc3fe4d2d0.npy
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65375a37c0b0a74816b359ae7d8079de.npy
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94183fed9cfd0b2b83ebe52f3029e29e.npy
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305590b93415635137fe78d385ec581f.npy
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933602d6fea8e16e2c3a43b146d2cd94.npy
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1538286f6c6d891c5795a95092cc6944.npy
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2916537fb1df77ce203ce4eed3f7f8fd.npy
add datasets with PMD and dispersion
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4290114b5b7958da7d15e020b57b18c3.npy
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4341733aa19f11d94e8e39970920d124.npy
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9850899a5a98e27a33d5dc6650816fea.npy
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3423875714a342935fbbb1bccd2b3475.npy
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02671617451b9bd76a92c00796d8cbcd.npy
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564944808075e8002bbb2666ebc1a656.npy
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46319325943517cef4c4fba640c3da51.npy
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a9c922873a978a6f721b0f6ffeade1bb.npy
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a48a9e0d066257e576b1ca5c693a63b4.npy
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a2558bed984a4396698c40e48f3032e1.npy
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a6704a7a7b2741bc4a60ac7ed0f504bf.npy
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aa51a51fc819771f63fd46bb893f6fa2.npy
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ac05baeba424fcb7bb68aa48365238de.npy
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ad0de10bcf6007fe3ca11a44588ec69e.npy
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afbe29decc8fa9f2d6f236087a82373d.npy
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b90b90c8cdb3edc421b8ccbac9647e5e.npy
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b93fe9dee334240943c3a95f9e8bfa87.npy
add datasets with PMD and dispersion
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b445a243187ed08036e23e41fde0d520.npy
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ba169fa8dcd6439724407c1ad4f9f440.npy
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bcc9387de6ac1862665c3a5cce02eef4.npy
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c42b6e981d5585c1aea4c210f92559f8.npy
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c255b9bd70170ef3cb942ea232837384.npy
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c6881637c057d0911233b20540f9d86c.npy
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c2769482508842cea3f0b3662956f243.npy
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ca5fb5bcbffd44d9ba6ae3e3b4dd0551.npy
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cd8320dda523ac0e1841cc5eb186a6df.npy
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ceb9676f372a236b2a6ec2a3c535947a.npy
add training data, y-pol phase shifted by 90 deg, x/y different powers
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d5873e69bf51337836cf044f8e84b0a3.npy
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db312d96ed895a0bee8bab9a814681e5.npy
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dd0c22a6f4d98c7732a65c688905559c.npy
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df3f6e545a475e0e826db85505b1dfe1.npy
add datasets with PMD and dispersion
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df441985bbf743f38bfe87b7abb0c474.npy
add datasets with PMD and dispersion
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e1e5025eff4878e3144dfc2e31b16436.npy
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e2fbf38c29e68b50d84f6ab3d813a1df.npy
add new training data
2024-12-04 13:22:50 +01:00
e75f41eafd455b9e267d29fc2c66b901.npy
add new training data
2024-12-04 13:22:50 +01:00
e1728174dbe977e4c77e484a5cd04310.npy
add new training data
2024-12-04 10:07:39 +01:00
e1920558ae1a6a57f41fc25a0f419cd9.npy
add datasets to LFS
2024-11-15 18:27:19 +01:00
eab52f436065a0663db768a3e0af2588.npy
add new training data
2024-12-04 13:22:50 +01:00
ebe3b8e2ca16eb71f92f29b642726e5e.npy
add new training data
2024-12-04 13:22:50 +01:00
ec6e37c138bc02a0d47b46c82e5c6fae.npy
add new training data
2024-12-04 10:07:39 +01:00
ec302a7fb6b103ad948754368fe8f721.npy
add datasets to LFS
2024-11-15 18:27:19 +01:00
ede68b48d7ff262e3afd199a31493539.npy
add datasets to LFS
2024-11-15 18:27:19 +01:00
ee770d9ccf5f26a38b9eb46d08a7db94.npy
add new training data
2024-12-04 10:07:39 +01:00
eec56f049e274630e94245de00027488.npy
add new training data
2024-12-04 10:07:39 +01:00
eed647d6cb11272ef0d7a0c2b89ee2a0.npy
add new training data
2024-12-05 23:50:14 +01:00
eeee9a7b9ad1ca9c55ec8db01773377b.npy
add datasets to LFS
2024-11-15 18:27:19 +01:00
f0f7d9ec7fb34010ef81b0c784ac2459.npy
add new training data
2024-12-04 10:07:39 +01:00
f084c8957ce4ed430fed2bd47d482df5.npy
add datasets with PMD and dispersion
2024-12-29 15:59:01 +01:00
f533f22d63e72145ee3e85f875f1870f.npy
add datasets to LFS
2024-11-15 18:27:19 +01:00
f8998f471547fc964b6a793f007d7d3b.npy
add new training data
2024-12-04 13:22:50 +01:00
f04752275a243911af271eac21db97a2.npy
add new training data
2024-12-04 13:22:50 +01:00
fab778e2031f5a6b06d70c1ca33c93a2.npy
add datasets to LFS
2024-11-15 18:27:19 +01:00
fada50126cf6f89423826915b05bf62e.npy
add new training data
2024-12-04 10:07:39 +01:00
fb6b47a69ada73b02f3c3ba6d13f0081.npy
add new training data
2024-12-04 10:07:39 +01:00
fb1678b045954fe6faa2a86d415427e2.npy
add datasets to LFS
2024-11-15 18:27:19 +01:00
fc3f47316f176274f94236e0fc94fc68.npy
add new training data
2024-12-04 10:07:39 +01:00
fc84855c44cec815300c7689450d803a.npy
add new training data
2024-12-04 10:07:39 +01:00