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-0.1.3.tar.gz (20.0 kB view details)

Uploaded Source

Built Distribution

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

pyexops-0.1.3-py3-none-any.whl (18.7 kB view details)

Uploaded Python 3

File details

Details for the file pyexops-0.1.3.tar.gz.

File metadata

  • Download URL: pyexops-0.1.3.tar.gz
  • Upload date:
  • Size: 20.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.14.0a7

File hashes

Hashes for pyexops-0.1.3.tar.gz
Algorithm Hash digest
SHA256 9ae0b75f8ff330e1b9956bc714a9e5e130f98004df9ca4e614b4f6c36d753263
MD5 be0361c61c3a687db12ab5069c892ef2
BLAKE2b-256 54cdcfdd58f7d6e5beef14ec7414e5b3af68d0a9658c678530fb51ee83a380f7

See more details on using hashes here.

File details

Details for the file pyexops-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: pyexops-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 18.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.14.0a7

File hashes

Hashes for pyexops-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 abef326897269cda1ebc264a2f0e210b707a2c008ae3ae7b09f32c330860f91d
MD5 5e925772df12154d97e11f89a190b8cf
BLAKE2b-256 05b3bfcf1155e3f1f2187f45f63eab7d6314cc5e054085edb09744b0921026c1

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