Dataset Open Access

Point cloud calorimeter shower datasets for multi-geometry pre-training: SimpleBox and LEMURS

Lorenzo Valente; Thorsten Buss; Henry Day-Hall; Frank Gaede; Gregor Kasieczka; Katja Krüger; Peter McKeown

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nmm##2200000uu#4500</leader>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
  </datafield>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <controlfield tag="001">19103</controlfield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Point cloud calorimeter shower datasets for multi-geometry pre-training: SimpleBox and LEMURS</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Thorsten Buss</subfield>
    <subfield code="u">University of Hamburg, DESY, RWTH Aachen University</subfield>
    <subfield code="0">(orcid)0000-0002-1717-2138</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Henry Day-Hall</subfield>
    <subfield code="u">DESY</subfield>
    <subfield code="0">(orcid)0000-0002-7881-2506</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Frank Gaede</subfield>
    <subfield code="u">DESY</subfield>
    <subfield code="0">(orcid)0000-0002-7055-9200</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Gregor Kasieczka</subfield>
    <subfield code="u">University of Hamburg</subfield>
    <subfield code="0">(orcid)0000-0003-3457-2755</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Katja Krüger</subfield>
    <subfield code="u">DESY</subfield>
    <subfield code="0">(orcid)0000-0002-1956-6608</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Peter McKeown</subfield>
    <subfield code="u">CERN</subfield>
    <subfield code="0">(orcid)0009-0006-9722-2233</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Lorenzo Valente</subfield>
    <subfield code="u">University of Hamburg</subfield>
    <subfield code="0">(orcid)0009-0007-0080-8738</subfield>
    <subfield code="4">prc</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">calorimeter simulation</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">fast simulation</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">generative models</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">point cloud</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">Geant4</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">machine learning</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">transfer learning</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">high energy physics</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">26647195472</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/allegro_100k.h5</subfield>
    <subfield code="z">md5:44726aab6c17e4f2a2f61212913f53ec</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">2651647320</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/allegro_test_10k.h5</subfield>
    <subfield code="z">md5:2de5bc20eb968e62437e4c495a497378</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">59807742848</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/lemurs_fccee_cld_1M.h5</subfield>
    <subfield code="z">md5:30ce75fb4df173c423de4ad51c31d8f3</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">601350896</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/lemurs_fccee_cld_test_10k.h5</subfield>
    <subfield code="z">md5:a4651fc2e5674f38a2a022044b9c866d</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">64124012352</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/lemurs_odd_1M.h5</subfield>
    <subfield code="z">md5:c2cdd54228b96bbf956e1b8ab02a8ec3</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">641241696</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/lemurs_odd_test_10k.h5</subfield>
    <subfield code="z">md5:e9cc7fdc3ec24579e27f0d880301ab95</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">69075238888</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/lemurs_par04_scipb_1M.h5</subfield>
    <subfield code="z">md5:e22837cf966b2766a5744181bbf034bc</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">688276168</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/lemurs_par04_scipb_test_10k.h5</subfield>
    <subfield code="z">md5:a8dcb105edc6a85cb072658457939396</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">63838071200</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/lemurs_par04_siw_1M.h5</subfield>
    <subfield code="z">md5:3029547a383c87467840c6340aa62bc7</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">635531720</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/lemurs_par04_siw_test_10k.h5</subfield>
    <subfield code="z">md5:6a5e3c4b14a0bfe991e4651357c84fdc</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">11049</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/MANIFEST.json</subfield>
    <subfield code="z">md5:3f503952f6f3c83b178bcbb96d856de7</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">6664</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/README.md</subfield>
    <subfield code="z">md5:2607009e44cbdac942530d0453548359</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">163662094912</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/simplebox_4M.h5</subfield>
    <subfield code="z">md5:5a3880557bf041cae4db1ce32fe5f150</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">4103081976</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/simplebox_mini_100k.h5</subfield>
    <subfield code="z">md5:a8aa8d50b35d1f59b1f4d5914e93fef6</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">3281908176</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/simplebox_test_8x10k.h5</subfield>
    <subfield code="z">md5:3c00be6c67f02938fc524927ec324bd1</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">4840678032</subfield>
    <subfield code="u">https://www.fdr.uni-hamburg.de/record/19103/files/simplebox_zeroshot_100k.h5</subfield>
    <subfield code="z">md5:ce3356c59c3f1576cd9e01644f447b3a</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Lorenzo Valente</subfield>
    <subfield code="u">University of Hamburg</subfield>
    <subfield code="0">(orcid)0009-0007-0080-8738</subfield>
  </datafield>
  <controlfield tag="005">20260822152216.0</controlfield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="o">oai:fdr.uni-hamburg.de:19103</subfield>
    <subfield code="p">user-uhh</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.25592/uhhfdm.19103</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;This record contains the simulated calorimeter shower datasets used in the study of &amp;#39;&lt;em&gt;Transferable Fast Calorimeter Shower Generation via Multi-Geometry Pre-training&amp;#39;&lt;/em&gt;.&lt;/p&gt;

&lt;p&gt;All showers are photon-induced electromagnetic showers with incident energy uniformly distributed between 1 and 100 GeV, stored as HDF5 point clouds: each point carries the two transverse displacements with respect to the impact point, the longitudinal layer index, and the deposited energy. Deposits are clustered on a 1 mm &amp;times; 1 mm transverse grid per layer, and cells below 10 keV are discarded. All detectors are described in DD4hep and simulated with Geant4 11.2.2 through the ddsim driver within the Key4hep stack.&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;&lt;strong&gt;SimpleBox&lt;/strong&gt; is a synthetic family of ten thousand box-shaped tungsten-silicon sampling calorimeters spanning sampling fraction, longitudinal segmentation and incident angle, with four million showers in total, plus a one hundred thousand shower subsample, a test set of eight held-out configurations, and a held-out in-range configuration for zero-shot evaluation.&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;LEMURS&lt;/strong&gt; is a point cloud re-simulation of five realistic barrel electromagnetic calorimeters (FCCee-CLD, the Open Data Detector calorimeter, Par04-SiW, Par04-SciPb and the noble-liquid FCCee-ALLEGRO), extracted on a fine transverse grid rather than the cell-aggregated representation of the original release. The first four provide one million training showers each and form the realistic pre-training pool.&amp;nbsp;FCCee-ALLEGRO is the transfer target, with a one hundred thousand shower fine-tuning dataset. Every geometry also has an independent ten thousand shower test set, simulated with disjoint seeds.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The structure is encoded in the file names.&amp;nbsp;Per-file sizes, shower counts and MD5 checksums are in the included MANIFEST.json, and the full schema is documented in README.md.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">https://arxiv.org/abs/2608.18233</subfield>
    <subfield code="i">isSupplementedBy</subfield>
    <subfield code="n">url</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">10.57967/hf/10040</subfield>
    <subfield code="i">isSupplementTo</subfield>
    <subfield code="n">doi</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">10.57967/hf/10041</subfield>
    <subfield code="i">isSupplementTo</subfield>
    <subfield code="n">doi</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">https://github.com/FLC-QU-hep/AllShowers/tree/multi-geometry</subfield>
    <subfield code="i">isSupplementTo</subfield>
    <subfield code="n">url</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">https://github.com/FLC-QU-hep/PointCountFM/tree/multi-geometry</subfield>
    <subfield code="i">isSupplementTo</subfield>
    <subfield code="n">url</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">https://github.com/FLC-QU-hep/multi-calorimeter-dataset</subfield>
    <subfield code="i">isSupplementTo</subfield>
    <subfield code="n">url</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">10.25592/uhhfdm.19102</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="n">doi</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-uhh</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2026-08-17</subfield>
  </datafield>
</record>
Publication date:
August 17, 2026
DOI:
10.25592/uhhfdm.19103

DOI Badge

Markdown 

[![DOI](https://www.fdr.uni-hamburg.de/badge/DOI/10.25592/uhhfdm.19103.svg)](https://doi.org/10.25592/uhhfdm.19103)

reStructedText 

.. image:: https://www.fdr.uni-hamburg.de/badge/DOI/10.25592/uhhfdm.19103.svg
   :target: https://doi.org/10.25592/uhhfdm.19103

HTML 

<a href="https://doi.org/10.25592/uhhfdm.19103"><img src="https://www.fdr.uni-hamburg.de/badge/DOI/10.25592/uhhfdm.19103.svg" alt="DOI"></a>

Image URL 

https://www.fdr.uni-hamburg.de/badge/DOI/10.25592/uhhfdm.19103.svg

Target URL 

https://doi.org/10.25592/uhhfdm.19103

Keyword(s):
calorimeter simulation fast simulation generative models point cloud Geant4 machine learning transfer learning high energy physics
Related identifiers:
Supplement to:
10.57967/hf/10040, 10.57967/hf/10041, https://github.com/FLC-QU-hep/AllShowers/tree/multi-geometry, https://github.com/FLC-QU-hep/PointCountFM/tree/multi-geometry, https://github.com/FLC-QU-hep/multi-calorimeter-dataset
Supplementary material:
https://arxiv.org/abs/2608.18233
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1.0.0 10.25592/uhhfdm.19103 Aug 17, 2026
Cite all versions? You can cite all versions by using the DOI 10.25592/uhhfdm.19102. This DOI represents all versions, and will always resolve to the latest one.

Cite record as

Export