MadGraph5_aMC@NLO

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3.4.x release from the 3.0 series released 2022-05-06

Release information

Release notes:

Include support for rivet/contur
include support for HEFT running

File	Description	Downloads
MG5_aMC_v2.9.11.tar.gz (md5)	MG5aMC_LTS_2.9.11	16 last downloaded today
MG5_aMC_v2.9.10.tar.gz (md5)	MG5aMC_LTS_2.9.10	402 last downloaded 24 hours ago
MG5_aMC_v3.4.0.tar.gz (md5)	MG5aMC_3.4.0	1,456 last downloaded today
Total downloads:		1,874

3.3.x release from the 3.0 series released 2021-11-12

File	Description	Downloads
MG5_aMC_v3.4.0.RC3.tar.gz (md5)	MG5aMC_3.4.0.RC3	10 last downloaded 11 days ago
MG5_aMC_v3.3.2.tar.gz (md5)	MG5aMC_3.3.2	1,873 last downloaded 24 hours ago
MG5aMC_LTS_2.9.9.tar.gz (md5)	MG5aMC_LTS_2.9.9	563 last downloaded 2 days ago
Total downloads:		2,446

3.2.x release from the 3.0 series released 2021-08-23

Release information

Release notes:

pass to 3.2.0 version: focus on ee collider and introduces beamstrhalung and ISR

File	Description	Downloads
MG5_aMC_v2.9.6.tar.gz (md5)	MG5aMC_LTS_2.9.6	143 last downloaded 6 days ago
MG5_aMC_v3.2.0.tar.gz (md5)	MG5aMC_3.2.0	1,941 last downloaded 2 days ago
Total downloads:		2,084

3.1.x (EW) release from the 3.0 series released 2021-03-25

File	Description	Downloads
MG5_aMC_v3.1.1.tar.gz (md5)	MG5aMC_3.1.1	2,507 last downloaded 24 hours ago
MG5_aMC_v3.1.0.tar.gz (md5)	MG5aMC_3.1.0	2,239 last downloaded 2 days ago
Total downloads:		4,746

2.9.x (helicity-recycling) release from the 2.0 series released 2021-01-30

Release information

Release notes:

Large focus on the speed of the LO code
- faster method to evaluate the matrix-element (thanks to a new optimization layer)
- faster integration method for VBF processes

Changelog:

      Kiran+OM: Optimization of the matrix-element at run-time using recycling helicity method
                - This fasten LO computation by a factor around 2
                - This can be turned off via the command "output PATH --hel_recycling=False"
      OM: Various optimization fot T-channel integration
          - use different ordering for T-channel. Four different ordering have been implemented
            at generation time, the code decides which ordering to use channel-per-channel.
            This can be turned off via the command "output PATH --t_strategy=2"
          - increase number of maximum iteration for double or more T-channel
          - implement an alternative to the standard multi-channel.
             instead of using the amplitude square it use the product of the denominator
             (the default strategy use depends of the process)
          - speed-up for VBF type of process are often around 100 times faster
          - This fixes a lot of issue for processes failing to generate the targetted number of events.
      OM: Better version of the color-computation (but this leads to only modest gain but for very complex processes.\
)
          This optimizations leads to a longer generation time of the code (only for complex processes).
          This can be turned off via "output PATH --jamp_optim=False"
      OM: New parameter in the run_card:
          - sde_strategy: allows to change the default multi-channel strategy
          - a new phase-space optimization parameter are now easily availabe via the command "update ps_optim"
      OM: New global parameter "auto_convert_model"
          if set on True (set auto_convert_model T or via input/mg5_configuration.txt)
          all model crashing due to a python3 compatibility issue of the UFO model will be automatically converted
          to a python3 compatible model.

File	Description	Downloads
MG5_aMC_v2.9.11.tar.gz (md5)	MG5aMC_LTS_2.9.11	-
MG5_aMC_v2.9.10.tar.gz (md5)	MG5aMC_LTS_2.9.10	1,272 last downloaded today
MG5_aMC_v2.9.9.tar.gz (md5)	MG5aMC_LTS_2.9.9	775 last downloaded 3 days ago
MG5_aMC_v2.9.7.tar.gz (md5)	MG5aMC_LTS_2.9.7	200 last downloaded 5 days ago
MG5_aMC_v2.9.6.tar.gz (md5)	MG5aMC_LTS_2.9.6	60 last downloaded 2 weeks ago
MG5_aMC_v2.9.5.tar.gz (md5)	MG5aMC_LTS_2.9.5	1,077 last downloaded 5 days ago
MG5_aMC_v2.9.4.tar.gz (md5)	MG5aMC_2.9.4	2,473 last downloaded 5 days ago
MG5_aMC_v2.9.3.tar.gz (md5)	MG5aMC_2.9.3	2,316 last downloaded 24 hours ago
Total downloads:		8,173

2.8.x (VBF and muon) release from the 2.0 series released 2020-08-21

Release information

Release notes:

      OM: pass to python3 by default
      OM: For LO process, you can now set lpp1 and lpp2 to "4" for process with initial photon in order to get the
          effective photon approximation. This mode behaves like the "3" one: The cut-off scale of the approximation
          is taken from the fixed renormalization factorisation scale: "dsqrt_q2fact1/dsqrt_q2fact2"
      OM: The width ao T-channel propagator are now set to zero automatically.
          To return to the previous behaviour , you can use the options "set zerowidth_tchannel False"
          (to set before the output command)
      OM: Change in madevent phase-space integrator for T-channel:
            - The integration of photon/Z/Higgs are now done together rather than separatly and follow importance
               samp...

File	Description	Downloads
MG5_aMC_v2.8.3.2.tar.gz (md5)	MG5aMC_2.8.3.2	712 last downloaded 5 days ago
Total downloads:		712

2.7.x (weakly polarized) release from the 2.0 series released 2020-01-21

Release information

Release notes:

2.7.1(09/03/20)
      OM: Fixing issue (wrong cross-section and differential cross-section) for
          polarised sample when
           1) you have identical polarised particles
           2) those particles are decays
          examples: p p > j j w+{0} w+{T}, w+ > e+ e-
      OM: In presence of identical particles, if you define the exact number of decays
          (either via the decay chain syntax or via MadSpin) then they are assigned in an ordered way:
          generate p p > z{0} z{T}, z > l+ l-, z > j j
          means that the Longitudinal Z decays to lepton (transverse to jet)
          Thanks to Jie Xiao for reporting such issues.
      OM: Effective Photon approximation is now always done with a fix cutoff. This use the FIXED factorization scale
          of the associat...

File	Description	Downloads
MG5_aMC_v2.7.3.py3.tar.gz (md5)	MG5aMC_2.7.3.py3	1,091 last downloaded 24 hours ago
MG5_aMC_v2.7.3.tar.gz (md5)	MG5aMC_2.7.3	5,462 last downloaded 24 hours ago
Total downloads:		6,553

2.6.x (weights, weights and weights) release from the 2.0 series released 2017-08-15

Release information

Release notes:

2.6.5 (03/02/19)
      OM: Fix some speed issue with the generated gridpack --speed issue introduced in 2.6.1--
      OM: Fix a bug in the computation of systematics when running with Python 2.6.
      OM: import model PATH, where PATH does not exists yet, will now connect to the online db
          if the model_name is present in the online db, then the model will be installed in the specified path.
      MZ: Applgrid+aMCFast was broken for some processes (since 2.6.0), due to wrong
          information written into initial_states_map.dat. This has been fixed now
      OM: change in the gridpack. It automatically runs the systematics.py (if configure in the run_card)
      OM: Fix a MLM crash occuring for p p > go go (0,1,2 j)
      OM: Fix issue for BSM model with additional colored...

File	Description	Downloads
MG5_aMC_v2.6.7.tar.gz (md5)	MG5aMC_2.6.7	8,528 last downloaded 24 hours ago
Total downloads:		8,528

2.5.x (Interface) release from the 2.0 series released 2016-09-08

Release information

Release notes:

2.5.5(25/05/17)
      OM: Fixing bug in the creation of the LO gridpack introduced in 2.4.3. Since 2.4.3 the generated
          gridpack were lacking to include the generated grid for each channel. This does not lead to
          bias but to a significant slow down of the associated gridpack.
      OM: Supporting user function calling other non default function.
      OM: adding the command "update to_slha1" and "update to_slha2" (still beta)
      RF: some cleanup in the NLO/Template files. Many unused subroutines deleted.
      OM: fixing some bug related to complex_mass_scheme
      OM: fixing bug in ALOHA for C++ output (in presence of form-factor)
      OM: fixing lhe event for 1 to N process such that the <init> block is consistently set for the shower
      OM: ExRootAnalysis in...

File	Description	Downloads
MG5_aMC_v2.5.5.tar.gz (md5)	MG5aMC_2.5.5	8,416 last downloaded 4 weeks ago
Total downloads:		8,416

2.4.x (reweighting) release from the 2.0 series released 2016-05-12

Release information

Release notes:

2.4.0 (12/06/16)
        OM: Allowing the proper NLO reweighting for NLO sample
        RF: For NLO processes allow for multiple PDF and scales reweighting, directy by inputting lists
            in the run_card.dat.
        VH: Interfaced MadLoop to Samurai and Ninja (the latter is now the default)
        HS: Turn IREGI to off by default
        MZ: new NLO generation mode. It is more efficient from the memory and CPU point of
            view, in particular for high-multiplicity processes.
            Many thanks to Josh Bendavid for his fundamental contribution for this.
            The mode can be enabled with
            > set low_mem_multicore_nlo_generation True
            before generating the process.
        OM: Adding the possibility to use new syntax for tree-level process...

File	Description	Downloads
MG5_aMC_v2.4.3.tar.gz (md5)	MG5_aMC_v2.4.3	8,457 last downloaded 4 days ago
Total downloads:		8,457