Skip to main content

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

Release files for pyexops 0.1.39

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyexops 0.1.39
File Size Uploaded
pyexops-0.1.39.tar.gz 59.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyexops 0.1.39
File Interpreter ABI Platform
pyexops-0.1.39-py3-none-any.whl Python 3 none any Details

Total release size: 101.3 kB

Release files / pyexops-0.1.39.tar.gz

Download URL pyexops-0.1.39.tar.gz
Size 59.5 kB
Tags Source
SHA-256 checksum
How to use checksums
979904921d91dc9367fe84521c60bb6a17249d7ca5027e3f510815bd1bf8255a
BLAKE2b-256 checksum
How to use checksums
b2825e3a7b8207a9387794918e62d93e75ba5277b68fb3f1ec94d4c0e40644b5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.7

Release files / pyexops-0.1.39-py3-none-any.whl

Download URL pyexops-0.1.39-py3-none-any.whl
Size 41.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
42901d387d8dfcb530fe559b450e1bdcec350415e0d137095ebfb53229d1ba39
BLAKE2b-256 checksum
How to use checksums
27355220b0ec3662710d9994bd367501f71511024595163c0ed948161eb86186
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.7

Release history Release notifications | RSS feed

This release

0.1.39 This release

2 release files

0.1.38

2 release files

0.1.37

2 release files

0.1.36

2 release files

0.1.35

2 release files

0.1.34

2 release files

0.1.33

2 release files

0.1.32

1 release file

0.1.31

2 release files

0.1.30

2 release files

0.1.29

2 release files

0.1.28

2 release files

0.1.27

2 release files

0.1.26

2 release files

0.1.25

2 release files

0.1.24

2 release files

0.1.23

2 release files

0.1.22

2 release files

0.1.21

2 release files

0.1.20

2 release files

0.1.15

2 release files

0.1.14

2 release files

0.1.13

2 release files

0.1.12

2 release files

0.1.11

2 release files

0.1.10

2 release files

0.1.9

2 release files

0.1.8

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page