Dorado sensitivity and exposure time calculator
Dorado is a proposed space mission for ultraviolet follow-up of gravitational wave events. This repository contains a simple sensitivity and exposure time calculator for Dorado.
This package can estimate the signal to noise, exposure time, or limiting magnitude for an astronomical source with a given spectrum using the CCD signal to noise equation. It models the following noise contributions:
- Zodiacal light
- Airglow (geocoronal emission)
- Diffuse Galactic emission
- Standard CCD noise (shot noise, read noise, dark current)
Installation
To install with Pip:
$ pip install dorado-sensitivity
Examples
For examples, see the Jupyter notebook.
Dependencies
Metadata
Release files for dorado-sensitivity 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dorado_sensitivity-0.4.0.tar.gz | 45.6 kB | Without provenance | Details for dorado_sensitivity-0.4.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dorado_sensitivity-0.4.0-py3-none-any.whl | Python 3 | none | any | Details for dorado_sensitivity-0.4.0-py3-none-any.whl |
Total release size: 94.5 kB
Release files / dorado_sensitivity-0.4.0.tar.gz
| Download URL | dorado_sensitivity-0.4.0.tar.gz |
|---|---|
| Size | 45.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b657733e2a3269dd7787cf902c19dc2531efa6bdb2387b1897d6ed861e87561a
|
|
BLAKE2b-256 checksum How to use checksums |
2aeeb365ecaec7141cb4bd2d5f1225b87345f33f75732656a25880d17f44eba9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
|
Release files / dorado_sensitivity-0.4.0-py3-none-any.whl
| Download URL | dorado_sensitivity-0.4.0-py3-none-any.whl |
|---|---|
| Size | 48.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
21703323e5b90332cdac06a4e8d7968896a573e41c943bf3acb951054f3ebca6
|
|
BLAKE2b-256 checksum How to use checksums |
fb20023ac803f088ea011f4988526c9d8fe281e3c76b79e8d5ee8e540bf6d337
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
|
Security for dorado-sensitivity 0.4.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.