v5.0.2

Version 5.0.2:

• Updated the C wrappers for PGPLOT for the Numpy 2.0 C API (with thanks to Tom Marsh)
• Python v3.9 or newer is now required.
• Several minor bug fixes, including to injectpsr.py, thanks to @remsforian

v5.0.1

Version 5.0.1:

• Minor improvements over v5.0.0
• Some clarifications and improvements to the build process
• Addition of new recipes for docker / singularity images (thanks Alessandro Ridolfi!)
• Bugfix in rednoise having to do with absolute paths (thanks Alessandro Ridolfi!)
• Bugfix that checks to see if the maskfile you intend to use matches the properties of the data you are using

v5.0.0

New in Version 5.0.0!:

• This is a major release since I've moved to a completely different and modern build system: meson, along with the meson-python backend. This was required since Numpy has deprecated numpy.distutils and this caused python builds to stop working with Python v3.12.
  • See the INSTALL.md for updated installation instructions.
  • You will need to install meson, meson-python, and ninja, but that is easily done via pip!
  • Python v3.8 or newer is now required.
• All of the old Spigot-related codes have been removed. If you need to process Spigot data, please use the classis branch that is mentioned in the README.md.
• All of the slalib codes (and the python interface to it) have been removed. If you need that stuff, you should transition to ERFA and/or Astropy.
• There are two nice new python utilities:
  • binary_utils.py reads a parfile of a binary pulsar and computes min/max observed barycentric spin periods or velocities as either a function of the orbit (default), or for a prescribed duration of time, and optionally plots those. It also shows basic information about the binary.
  • compare_periods.py compares candidate spin periods and their integer and fractional harmonics with one or more parfiles to a prescribed fractional tolerance.

PRESTO v4.0

• This is a major release since it involves big changes to the Python portions of the codebase:
  • Python v3.7 or newer is now required.
  • A long-standing memory issue was fixed with Anaconda Python (running python tests/test_presto_python.py will tell you if you have that issue or not).
  • Swig v4 is used to generate the Python wrappers of the PRESTO C library.
  • Big thanks to Shami Chatterjee and Bradley Meyers who helped me get to the bottom of this!
• There is a FAQ with lots of information!
• PRESTO has a dockerfile that allows it to build on Docker Hub automatically. Thanks to Nick Swainston for this! (more testing and improvements would be welcome)
• simple_zapbirds.py makes it much easier to manually zap interference from simple searches (no need for copying ".inf" files and running both makezaplist.py and zapbirds).
• realfft and zapbirds can now be called on many files at once on the command line. This benefits HPC systems which often don't like many programs running serially on many small files.
• A new python interface to the internal prepfold folding code (simplefold), as well as wrappers of fast C implementations of $\chi^2$ and $Z^2_N$ (thanks to Matteo Bachetti).
• Many bug fixes and minor improvements, including one that would cause segfaults with very large dispersion sweeps in prepdata and prepsubband, and a problem with prepfold significance calculations.

PRESTO v3.0.1

• This is a minor release which fixes several issues and adds some
  minor improvements:
  • Fix of long-standing rfifind bug that could cause the program
    to hang if channels had zero variance
  • Multiple Python3-related bug fixes
  • Added -debug flag to prepfold to allow debugging of TEMPO
    calls to make polycos
  • DDplan.py can now read observation parameters from filterbank
    or PSRFITS input files. And you can write a dedisp_*.py
    dedispersion script, based on the plan, using the -w option
  • The rednoise program now writes a corresponding *_red.inf file
  • Update of the Tutorial document, including a new slide on red noise

PRESTO v3.0

New in Version 3.0:

• This major release of PRESTO includes a massive restructuring
  of python code and capabilities. Things should work with Python
  versions 2.7 and Python 3.6 and 3.7 at least. The installation
  of the python code has changed and has become more "pythonic"
  so that PYTHONPATH is not needed, and all of the various modules
  are now under a top-level "presto" module. For example, to
  use the psr_utils module you would now do:

  import presto.psr_utils as pu

  rather than

  import psr_utils as pu

  All of these changes will likely lead to code breakage and bugs!

  Please check your code and processing carefully and post issues
  (and hopefully pull requests) if you find them.

  The installation instructions have been updated in the INSTALL file.

  Huge thanks thanks go to Gijs Molenaar, Matteo Bachetti, and
  Paul Ray for the work that they have done helping with this!

• There is also a new "examplescripts" directory where you will
  find some example code to do a lot of important things, like

  • Fully dedispersing an observation: dedisp.py
  • Fully searching a dedispersed observation: full_analysis.py
  • Sifting the results of a full search: ACCEL_sift.py
  • Searching short chunks of a long time series: short_analysis_simple.py
  • Making a really nice P-Pdot plane: ppdot_plane_plot.py
  • and a few others.

PRESTO v2.2

New in Version 2.2:

• This is the last version of PRESTO to work with the old-style
  python interface which requires Python v2.7 or earlier and is
  "installed" in-place and used via having $PRESTO/lib/python
  in your PYTHONPATH. There will probably be occasional bug fixes
  of the v2.2 branch, but in general, people should switch to v3.0,
  which is what the master branch will get tagged with.

PRESTO v2.1

New in Version 2.1:

• accelsearch now has a "jerk" search capability (thanks to UVA
  undergrad Bridget Andersen for help with this!). This makes
  searches take a lot longer, but definitely improves sensitivity
  when the observation duration is 5-15% of the duration of the orbital
  period. Typically -wmax should be set to 3-5x -zmax (and you probably
  never need to set -zmax to anything larger than 300).
• Ability to ignore bad channels on the command line (-ignorechan)
  (see rfifind_stats.py and weights_to_ignorechan.py)
• Lots of new python utilities (such as for handling RFI, showing
  bandpasses, making waterfall plots, ...)
• New wrappers for the python interface (will make the transition
  to Python 3.X much smoother later this year)
• Many bug fixes and minor improvements