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-0.1.24.tar.gz (48.9 kB view details)

Uploaded Source

Built Distribution

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

pyexops-0.1.24-py3-none-any.whl (32.9 kB view details)

Uploaded Python 3

File details

Details for the file pyexops-0.1.24.tar.gz.

File metadata

  • Download URL: pyexops-0.1.24.tar.gz
  • Upload date:
  • Size: 48.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for pyexops-0.1.24.tar.gz
Algorithm Hash digest
SHA256 3e1f15084bc08177a11940439bd733e84a482c7a7e16c1e39c6cafa9b497da49
MD5 91673cf42355d524c9032264bacd964d
BLAKE2b-256 b6a1aafd713876eb822eaa3fb5c91ee8906d620a586a9495f52c7c27d55aad3e

See more details on using hashes here.

File details

Details for the file pyexops-0.1.24-py3-none-any.whl.

File metadata

  • Download URL: pyexops-0.1.24-py3-none-any.whl
  • Upload date:
  • Size: 32.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for pyexops-0.1.24-py3-none-any.whl
Algorithm Hash digest
SHA256 a3629a42499148dfe8f9a909edae2172d89595c8975fab13c788aaa8abd7b91d
MD5 864cb1491caecbce889142ead026188f
BLAKE2b-256 a6552f272bf74986b47a145d73a9fece3adacac79ea81d352a1f8f0c2afd4263

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