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0001 ---
0002 title: Software News April
0003 author: Markus Diefenthaler
0004 layout: default
0005 symbol: glyphicon-calendar
0006 until: 2020-12-31
0007 ---
0008 <p/>
0009
0010 {% include images/image.md name='news_banner' width='800' %}
0011
0012 The EICUG Software Working Group is working on physics and detector simulations that enable for the Yellow Report Initiative a quantitative assessment of the measurement capabilities of the EIC detector(s) and their physics impact. The common simulation tools and workflow environment being setup by the working group allow the EICUG to pursue Yellow Report studies in a manner that is accessible, consistent, and reproducible to the EICUG as a whole.
0013
0014 #### Communication
0015 The EICUG Software Working Group will start to announce software updates, known bugs, and other software related news on the [eicug-software@eicug.org](mailto:eicug-software@eicug.org) mailing list. While summaries of the announcements will be shared on [eicug-software@eicug.org](mailto:eicug-software@eicug.org) and the monthly newsletter, we encourage all working groups to subscribe to the [eicug-software@eicug.org](mailto:eicug-software@eicug.org).
0016
0017 #### JupyterHub
0018 We are preparing JupyterHub resources at BNL and JLAB that will allow you to run the EIC Software in the cloud and to easily share your analyses with other users. A prototype is being tested at JLAB.
0019
0020 #### Support us to support you better
0021 The common simulation tools and workflow environment can only grow with user input. The EICUG Software Working Group asks interested users to join our support team to ensure fast response to user requests. This is an ideal opportunity to learn more about the software and its development.
0022
0023 #### Tutorials
0024 The tutorials for fast and detector full simulations are available on the <a href="https://www.youtube.com/channel/UCXc9WfDKdlLXoZMGrotkf7w" target="_blank">EICUG YouTube channel</a>
0025
0026 ##### Uproot and Awkward Array Tutorial
0027 * Jim Pivarski (Princeton), known for innovative software in DIANA/HEP, IRIS-HEP and other projects, will give tutorials on how to process and analyze Root files with pure Python libraries: uproot and awkward array The tutorials are aimed for anyone who would like to learn more about using data science tools in Python for Nuclear Physics analysis.
0028 * Wednesday, April 8, at 10:00 a.m. (EDT)
0029 * Remote access will be provided via BlueJeans: [https://bluejeans.com/920347364](https://bluejeans.com/920347364)
0030 * The tutorial will be recorded.
0031 * More details are available on: [https://indico.bnl.gov/event/8242/](https://indico.bnl.gov/event/8242/)
0032
0033 ##### Advanced Fast Simulations Tutorial
0034 * Dmitry Romanov (JLAB) and Kolja Kauder (BNL) will give an advanced tutorial on fast simulations based on the feedback and requests of the last months.
0035 * Thursday, April 9, at 10:00 a.m. (EDT)
0036 * Remote access will be provided via BlueJeans: [https://bluejeans.com/920347364](https://bluejeans.com/920347364)
0037 * The tutorial will be recorded.
0038 * More details are available on: [https://indico.bnl.gov/event/8243/](https://indico.bnl.gov/event/8243/)
0039
0040 #### Software Update
0041 In our first Software News, updates on eic_smear and ESCalate are included. Further updates on these and other packages will be in future newsletters.
0042
0043 ##### eic_smear
0044 __Legacy version (1.0.3-final)__ The version used for the EIC White Paper (with a minor fix and some new tests) was fixed to 1.0.3-final for preservation.
0045
0046 __Yellow Report versions (1.0.4+)__ The current version, tentatively named 1.0.4-RC, has a few impactful updates:
0047 1. The code was made compliant to `C++17`, the latest stable `C++` standard.
0048 2. A bug was found and fixed that translated negative smeared values into NaN. This affects only a small phase space, mostly for very small phi values, but it is nevertheless recommended to update at your earliest opportunity and check for differences in your studies.
0049 3. Calculations for x and y according to the Jacquet Blondel method can produce a slew of warnings because values slightly smaller than 0 or larger than 1 are generated through roundoff errors. This is fixed.
0050 4. Testing and Q&A macros have been added in the `tests/` directory.
0051
0052 In the works:
0053 * Implementations according to the Electron-Ion Collider Detector Requirements and R&D Handbook: Once out, this should be the default used by everybody until vetted reference detectors are compiled. Note that none of the existing smearers were ever meant as truly representative of their namesakes, mostly as starting points.
0054 * pT and pz smearing is currently not functional. While no existing smearers rely on them, this is nevertheless a bug that will be fixed in the next update. More examples and QA are to follow as well.
0055
0056 ##### ESCalate framework
0057 A lightweight modular fast and full simulation framework for EIC.
0058 [https://gitlab.com/eic/escalate](https://gitlab.com/eic/escalate)
0059
0060 Previously separate packages, G4E and eJana, are now distributed as the ESCalate framework. ESCalate brings together [Monte Carlo event generators](https://gitlab.com/eic/mceg), [eic-smear](https://gitlab.com/eic/eic-smear) for fast simulations, [G4E](https://gitlab.com/eic/escalate/g4e) for full detector simulations, as well as [JANA2](https://github.com/JeffersonLab/JANA2) and [eJana](https://gitlab.com/eic/escalate/ejana) for reconstruction.
0061
0062 The structure of the ESCalate framework is shown below. Part of ESCalate are [ejpm](https://gitlab.com/eic/escalate/ejpm) for distributing the software and a variety of smaller tools. In addition to [tutorials](https://www.youtube.com/channel/UCXc9WfDKdlLXoZMGrotkf7w), examples for [Geant4 detectors](https://gitlab.com/eic/escalate/g4e/-/tree/master/examples), [eJANA plugins for reconstruction and physics analyses](https://gitlab.com/eic/escalate/plugins), and [analyses in JupyterLab](https://gitlab.com/eic/escalate/workspace) are provided.
0063
0064 ESCalate provides modularity in two ways:
0065 1. Subpackage modularity: Each package inside the framework can be used solely and separately from the rest of the framework.
0066 2. Subprocess modularity: JANA2 (and eJana) modularize code in small libraries called plugins allowing to run tasks in a seamless multithreaded way.
0067
0068 The framework itself ensures that data between packages is consistent and output of one package can be correctly read from another. ESCalate provides Python orchestration to facilitate the configuration of each package and allow for a workflow between the packages.
0069
0070 <img src="{{ '/assets/images/software/escalate/ESCalate-Structure.png' | relative_url }}" width="597"/>
0071
0072 <br/>
0073
0074 ---
0075
0076 ### About the Software Working Group
0077
0078 Please see our [website](https://eic.github.io) for more information
0079 about the Software Working Group and engage in the discussion on our
0080 [mailing list](mailto:eicug-software@eicug.org). For software
0081 questions, please see our
0082 [tutorials](https://www.youtube.com/channel/UCXc9WfDKdlLXoZMGrotkf7w),
0083 contact us via
0084 [software-support@eicug.org](mailto:software-support@eicug.org), or
0085 join our [Slack channel](https://eicug.slack.com) (see QR code below).
0086
0087 <img src="{{ '/assets/images/support/EICUG-Slack.png' | relative_url }}" width="200"/>
0088
0089 ---
