Skip to main content

SIS calibration

Project description

Photon assisted tunneling:

$$I_{p}(V_0,\alpha) = \sum_{n=-\infty}^{+\infty} J_n^2(\alpha) \cdot I_{dc}(V_0 + n\hbar \omega / e)$$

Components of $Y_{mm\prime} = G_{mm\prime} + i B_{mm\prime}$

G_{mm\prime} = \frac{e}{2 \hbar \omega_{m\prime}} \cdot
\;\sum_{n,n\prime=-\infty}^{\infty} J_n(\alpha) J_{n\prime}(\alpha) \delta_{m-m\prime, n\prime-n}
\left\{ \left[ I_{dc}(V_0+n\prime \hbar \omega /e + \hbar \omega_{m\prime}/e) -
I_{dc}(V_0 + n\prime \hbar \omega/e) \right] +
\left[ I_{dc}(V_0 + n\hbar \omega/e) -
I_{dc}(V_0 + n \hbar \omega/e - \hbar \omega_{m\prime}/e) \right]  \right\}
B_{mm\prime} = \frac{e}{2 \hbar \omega_{m\prime}} \cdot
\sum_{n,n\prime=-\infty}^{\infty} J_n(\alpha) J_{n\prime}(\alpha) \delta_{m-m\prime, n\prime-n}
\left\{ \left[ I_{kk}(V_0+n\prime \hbar \omega /e + \hbar \omega_{m\prime}/e) -
I_{kk}(V_0 + n\prime \hbar \omega/e) \right] -
\left[ I_{kk}(V_0 + n\hbar \omega/e) -
I_{kk}(V_0 + n \hbar \omega/e - \hbar \omega_{m\prime}/e) \right]  \right\}

$\omega_m = m \cdot \omega + \omega_0$

$\omega$ - LO rate, $\omega_0$ - IF rate, $\omega_m$ - Signal rate

Augmented

Y'_{mm} =
\begin{bmatrix}
    Y_{11} + Y_{S} & Y_{10} & Y_{1-1}  \\
    Y_{01} & Y_{00} + Y_L & Y_{0-1}   \\
    Y_{-11} & Y_{-10} & Y_{-1-1}+Y_I  \\
\end{bmatrix}

$Y_{IF} = 1/Z'_{00}$

All there formulas from Tucker & Feldman theory

For I-V curve analysis used RespFnFromIVData from QMix https://github.com/garrettj403/QMix

Releases are published automatically when a tag is pushed to GitHub.

sh deploy.sh -t {tag}
.\deploy.bat {tag}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sis-calibration-0.28.tar.gz (14.0 kB view details)

Uploaded Source

Built Distribution

sis_calibration-0.28-py3-none-any.whl (15.1 kB view details)

Uploaded Python 3

File details

Details for the file sis-calibration-0.28.tar.gz.

File metadata

  • Download URL: sis-calibration-0.28.tar.gz
  • Upload date:
  • Size: 14.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for sis-calibration-0.28.tar.gz
Algorithm Hash digest
SHA256 99c8b1b600e6c0234868c877fb1f46f3a7a7fa4873bb2a1c482b4a26320eef11
MD5 373a0aacd7a5db9891c25972c58137a1
BLAKE2b-256 c9dea9e2400dd9045309f4f7385c01e326780fa2cfcc2fe9693f302156b28dd6

See more details on using hashes here.

File details

Details for the file sis_calibration-0.28-py3-none-any.whl.

File metadata

File hashes

Hashes for sis_calibration-0.28-py3-none-any.whl
Algorithm Hash digest
SHA256 f76dcce13210e41ac132225e2c662968343211852957b4c0438c4ef096673df3
MD5 5ef1e4e4d26392b27f5697dec4fa030b
BLAKE2b-256 20a265ec440248356fe3404f9b9b82262ca13177c40421d214795b900ee13aac

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page