Skip to main content

Um simulador Python de Sistemas Exoplanetários para curvas de luz e velocidades radiais.

Project description

pyExopS (Python Exoplanetary Systems Simulator)

pyExopS is a Python-based simulator designed to generate realistic observational data for exoplanetary systems. It aims to provide a flexible and extensible platform for studying phenomena like planetary transits, stellar activity, and various observational systematics.

Features

  • Realistic Star Model: Includes quadratic limb darkening and dynamic stellar spots (umbra and penumbra).
  • Planet Model: Customizable orbiting planets with definable physical and orbital parameters.
  • Advanced PSF Modeling: Supports Gaussian, Moffat, Airy Disk, Elliptical Gaussian, and Combined Point Spread Functions to simulate realistic instrumental and atmospheric blurring.
  • Noise Injection: Injects Poisson (photon) noise and Gaussian (readout) noise for true-to-life data.
  • Photometry Methods: Implements various photometric extraction techniques:
    • Simple Aperture Photometry (SAP)
    • Optimal Photometry
    • PSF Fitting Photometry
    • Simplified Difference Imaging Photometry (DIP)
  • Data Conditioning: Includes a PDCSAP-like detrending algorithm to remove instrumental and astrophysical systematics from light curves while preserving transit signals.
  • Variable Cadence: Allows simulation of observations with non-uniform time sampling (e.g., high cadence during transit, low cadence out-of-transit).
  • Parallel Processing: Leverages Dask for efficient parallel computation across multicore CPUs, NVIDIA GPUs (Dask-CUDA), or distributed clusters.

Installation

You can install pyExopS using pip:

pip install pyexops

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

pyexops-0.1.30.tar.gz (51.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyexops-0.1.30-py3-none-any.whl (35.4 kB view details)

Uploaded Python 3

File details

Details for the file pyexops-0.1.30.tar.gz.

File metadata

  • Download URL: pyexops-0.1.30.tar.gz
  • Upload date:
  • Size: 51.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for pyexops-0.1.30.tar.gz
Algorithm Hash digest
SHA256 a08bdb097f746462676178948695392af0cf6c0d12e1290df6bdf528166cc7ff
MD5 da5cc9353a787853ca577d65c06251a7
BLAKE2b-256 9bd6dc68e5893a41badba898143a142ad5d809ab1c363015dc242985a4d2137f

See more details on using hashes here.

File details

Details for the file pyexops-0.1.30-py3-none-any.whl.

File metadata

  • Download URL: pyexops-0.1.30-py3-none-any.whl
  • Upload date:
  • Size: 35.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for pyexops-0.1.30-py3-none-any.whl
Algorithm Hash digest
SHA256 c3dcc9c78991ed0406366468a5a765ebe3ddde18017a8d184bedbbb0a718f8ca
MD5 370a3c748fc23a9826411c7ae087c122
BLAKE2b-256 4af33cbead1752d9a1658a295e611aac8a00541d2644737413625a441e633da5

See more details on using hashes here.

Supported by

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