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-0.1.22.tar.gz (38.0 kB view details)

Uploaded Source

Built Distribution

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

pyexops-0.1.22-py3-none-any.whl (26.4 kB view details)

Uploaded Python 3

File details

Details for the file pyexops-0.1.22.tar.gz.

File metadata

  • Download URL: pyexops-0.1.22.tar.gz
  • Upload date:
  • Size: 38.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for pyexops-0.1.22.tar.gz
Algorithm Hash digest
SHA256 c55da32de2fd7d59d7527bbd1dfb5e12ca605eb5e7b69a634ca8297102017df7
MD5 96da1557731955c66d0673ebf5536efe
BLAKE2b-256 7c5133146878d5255e67b32fc0e1391dab7c488f21cf7fb8f16c6ed1c2774f37

See more details on using hashes here.

File details

Details for the file pyexops-0.1.22-py3-none-any.whl.

File metadata

  • Download URL: pyexops-0.1.22-py3-none-any.whl
  • Upload date:
  • Size: 26.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for pyexops-0.1.22-py3-none-any.whl
Algorithm Hash digest
SHA256 bbdd9ca19195d1a04b9bfb17d904c5452124ee8d5a537b57228bf697d4c61f46
MD5 40bf220aa6149b6c4952950bbb251476
BLAKE2b-256 3bf544ecb25accbcf2976e62ec991d0dde00d3a4fb96236e2c822f44fdc23d74

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