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dsgp4 1.1.5 documentation - Home

Getting Started

  • Installation
  • Capabilities
  • Credits

Contents

  • Tutorials
    • TLE Object
    • Propagate TLEs
    • Partial Derivatives Computation via Autodiff
    • ML-dSGP4
    • Similarity Transformation - from Cartesian to TLE Covariance
    • Covariance Propagation
    • Gradient Based Optimization
  • API
    • dsgp4.plot.plot_orbit
    • dsgp4.plot.plot_tles
    • dsgp4.tle.compute_checksum
    • dsgp4.tle.read_satellite_catalog_number
    • dsgp4.tle.load_from_lines
    • dsgp4.tle.load_from_data
    • dsgp4.tle.load
    • dsgp4.tle.TLE
    • dsgp4.tle.TLE.copy
    • dsgp4.tle.TLE.perigee_alt
    • dsgp4.tle.TLE.apogee_alt
    • dsgp4.tle.TLE.set_time
    • dsgp4.tle.TLE.update
    • dsgp4.util.get_gravity_constants
    • dsgp4.util.propagate_batch
    • dsgp4.util.propagate
    • dsgp4.util.initialize_tle
    • dsgp4.util.from_year_day_to_date
    • dsgp4.util.gstime
    • dsgp4.util.clone_w_grad
    • dsgp4.util.jday
    • dsgp4.util.invjday
    • dsgp4.util.days2mdhms
    • dsgp4.util.from_string_to_datetime
    • dsgp4.util.from_mjd_to_epoch_days_after_1_jan
    • dsgp4.util.from_mjd_to_datetime
    • dsgp4.util.from_jd_to_datetime
    • dsgp4.util.get_non_empty_lines
    • dsgp4.util.from_datetime_to_fractional_day
    • dsgp4.util.from_datetime_to_mjd
    • dsgp4.util.from_datetime_to_jd
    • dsgp4.util.from_cartesian_to_keplerian
    • dsgp4.sgp4
    • dsgp4.sgp4_batched
    • dsgp4.sgp4init.sgp4init
    • dsgp4.sgp4init_batch.sgp4init_batch
    • dsgp4.sgp4init_batch.initl_batch
    • dsgp4.initl
    • dsgp4.newton_method
    • dsgp4.sgp4init
    • dsgp4.sgp4init_batch
    • mldsgp4 model
  • Repository
  • Open issue
  • .rst

Tutorials

Contents

  • Basics
  • Advanced

Tutorials#

Basics#

These tutorials include some basic examples on how to use dSGP4 for simple tasks.

  • TLE Object
  • Propagate TLEs
  • Partial Derivatives Computation via Autodiff
  • ML-dSGP4

Advanced#

These tutorials are more advanced examples on how to leverage dSGP4 framework for more complex tasks.

  • Similarity Transformation - from Cartesian to TLE Covariance
  • Covariance Propagation
  • Gradient Based Optimization

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Credits

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TLE Object

Contents
  • Basics
  • Advanced

By Giacomo Acciarini, Atılım Güneş Baydin, Dario Izzo

© Copyright 2022, 2023, 2024, 2025, Giacomo Acciarini and Atılım Güneş Baydin and Dario Izzo.