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Publication Year: 2023

15,781 to 15,790 of 15,822 Results

Fig_2B_2C_2D_Salisbury screen SNSPD__ff=05.py Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication Python Source Code - 29.9 KB - MD5: 56cdd15673dc62238eaaf06db5be6c25 Data for figures 2B, 2C, and 2D in the .py file extension.
Fig_3B_3C_3D_Single-layer SNSPD__ff=05.ipynb Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication Jupyter Notebook - 444.0 KB - MD5: 44f0c0b3d1b80e2c5595df171623b440 Data for figures 3B, 3C, and 3D in the .ipynb file extension.
Fig_3B_3C_3D_Single-layer SNSPD__ff=05.py Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication Python Source Code - 35.0 KB - MD5: 0a95403dc49e1d743b7eab8c924fc67b Data for figures 3B, 3C, and 3D in the .py file extension.
Fig_4B_4C_4D_Three-layer SNSPD__ff=05.ipynb Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication Jupyter Notebook - 370.8 KB - MD5: b6089bd190ea68abf2f117fb97f8e61f Data for figures 4B, 4C, and 4D in the .ipynb file extension.
Fig_4B_4C_4D_Three-layer SNSPD__ff=05.py Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication Python Source Code - 22.4 KB - MD5: 85fb97e29b3820bdea6bc031fcfbcf4f Data for figures 4B, 4C, and 4D in the .py file extension.
Fig_5A_Optimal thickness and single SNSPD absorption vs filling factor.ipynb Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication Jupyter Notebook - 119.5 KB - MD5: 33a35d58e6e42ae92917451be544036f Data for figure 5A in the .ipynb file extension.
Fig_5A_Optimal thickness and single SNSPD absorption vs filling factor.py Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication Python Source Code - 19.4 KB - MD5: 9c9af40d309d54bf2f8c7bc31f90dda9 Data for figure 5A in the .py file extension.
Fig_5B_5C_5D_Circular diagrams and coherent absorption per layer.ipynb Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication Jupyter Notebook - 800.3 KB - MD5: f1a872d21c51b828db78a3f2183e6c7b Data for figures 5B, 5C, and 5D in the .ipynb file extension.
Fig_5B_5C_5D_Circular diagrams and coherent absorption per layer.py Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication Python Source Code - 33.5 KB - MD5: a0ed5c227606748e44cab33f6f040b6c Data for figures 5B, 5C, and 5D in the .py file extension.
Fig_6_7_Photon number resolution.ipynb Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication Jupyter Notebook - 412.6 KB - MD5: 85928b39a13e957efecf8e1806a136f4 Data for figures 6 and 7 in the .ipynb file extension.

Fig_2B_2C_2D_Salisbury screen SNSPD__ff=05.py

Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication

Python Source Code - 29.9 KB -

Data for figures 2B, 2C, and 2D in the .py file extension.

Fig_3B_3C_3D_Single-layer SNSPD__ff=05.ipynb

Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication

Jupyter Notebook - 444.0 KB -

Data for figures 3B, 3C, and 3D in the .ipynb file extension.

Fig_3B_3C_3D_Single-layer SNSPD__ff=05.py

Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication

Python Source Code - 35.0 KB -

Data for figures 3B, 3C, and 3D in the .py file extension.

Fig_4B_4C_4D_Three-layer SNSPD__ff=05.ipynb

Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication

Jupyter Notebook - 370.8 KB -

Data for figures 4B, 4C, and 4D in the .ipynb file extension.

Fig_4B_4C_4D_Three-layer SNSPD__ff=05.py

Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication

Python Source Code - 22.4 KB -

Data for figures 4B, 4C, and 4D in the .py file extension.

Fig_5A_Optimal thickness and single SNSPD absorption vs filling factor.ipynb

Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication

Jupyter Notebook - 119.5 KB -

Data for figure 5A in the .ipynb file extension.

Fig_5A_Optimal thickness and single SNSPD absorption vs filling factor.py

Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication

Python Source Code - 19.4 KB -

Data for figure 5A in the .py file extension.

Fig_5B_5C_5D_Circular diagrams and coherent absorption per layer.ipynb

Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication

Jupyter Notebook - 800.3 KB -

Data for figures 5B, 5C, and 5D in the .ipynb file extension.

Fig_5B_5C_5D_Circular diagrams and coherent absorption per layer.py

Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication

Python Source Code - 33.5 KB -

Data for figures 5B, 5C, and 5D in the .py file extension.

Fig_6_7_Photon number resolution.ipynb

Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication

Jupyter Notebook - 412.6 KB -

Data for figures 6 and 7 in the .ipynb file extension.

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