About me

I'm a Physics PhD student at the University of Groningen working on dark matter searches under the application of machine learning methods with the H.E.S.S. and CTA experiments.

  • Physicist & Astronomer
  • Data Analyst & Software Developer
  • Machine Learning Expert


Some of my favourite books:

  • The 7 Habits of Highly Effective People by Stephen R. Covey
  • Thinking. Fast and Slow by Daniel Kahneman
  • Atomic Habits by James Clear
  • Mindfullness in Plain English by Bhante Henepola Gunaratana
  • The Culture Map by Erin Meyer
  • A Random Walk Down Wall Street by Burton G. Malkiel
  • Das Zeitalter der Unschärfe by Tobias Hürter

CV

Profile picture

A summary of my CV is listed below. My full CV is available here.

Work Experience


Since 2020: PhD, Physics
'Application of Artificial Neural Networks for Dark Matter searches with H.E.S.S. and CTA', University of Groningen, the Netherlands

2017-2019: Student Assistant
'Conducting experiments in the field of thin film processing with laser radiation', Fraunhofer Institute for Laser Technology ILT, Aachen, Germany

Education


2018-2020: Master of Science, Physics
'X-ray Studies of the Galaxy Group UGC03957 using eROSITA, XMM-Newton and Suzaku Data', RWTH Aachen University in cooperation with University of Bonn, Germany

2014-2018: Bachelor of Science, Physics
'Study of Matrix Element Methods for the Higgs Boson CP Measurement in CMS', RWTH Aachen University, Germany

2006-2014: A-levels
Secondary schools: Goethe Gymnasium, Stolberg, Germany and Geschwister-Scholl Gymnasium, Aachen, Germany

Scholarships


Since 2020: Fundamentals of the Universe PhD Scholarship Programme
The aim of this research theme is to study the fundamental forces of Nature with implications for the Universe. This theme connects research across all length scales by using the striking similarities in physics from the Planck scale (quantum gravity) via sub-atomic scales (particle physics) to cosmic dimensions (cosmology and astrophysics).

Invited Talks


March 2023: Young Minds Yerevan Student Event
Dark matter searches with gamma-ray observations in the era of machine learning, Yerevan, Armenia (online)

March 2022: Marie Curie Machine Learning Symposium
Artificial Neural Networks and their Application in Gamma-ray Astronomy, Nijmegen, the Netherlands

Conferences & Seminars


September 2023: Talk - Kapteyn Friday Lunch Talk
Event reconstruction of gamma rays for the Cherenkov Telescope Array using machine learning, Groningen, the Netherlands

July 2023: Talk - 27th Astroparticle Physics in the Netherlabds (CAN) Symposium
Search for Self-annihilating Dark Matter around Intermediate Mass Black Holes with the H.E.S.S. Experiment, Soesterberg, the Netherlands

December 2022: Talk - Kapteyn Science Day
Detecting gamma rays with machine learning, Groningen, the Netherlands

July 2022: Poster - 7th Heidelberg International Symposium on High-Energy Gamma-Ray Astronomy
Event reconstruction using pattern spectra and convolutional neural networks for the Cherenkov Telescope Array, Barcelona, Spain

June 2022: Flash talk - 26th Astroparticle Physics in the Netherlabds (CAN) Symposium

June 2022: Poster - European Physical Society (EPS) Young Minds Leadership Meeting
Young Minds Groningen Section Activities 2022, Paris, France

January 2022: Poster - Physics@Veldhoven conference
Event reconstruction using pattern spectra and machine learning for the Cherenkov Telescope Array, Veldhoven, the Netherlands

November 2021: Talk - Basic Notions Seminar
Artificial Neural Networks, Groningen, the Netherlands

October 2021: Talk - Galaxy Cookies Symposium
Dark Matter Searches with the Cherenkov Telescope Array, Groningen, the Netherlands

September 2021: Poster - Fundamentals of the Universe (FotU) Symposium
Energy reconstruction using pattern spectra and machine learning for the Cherenkov Telescope Array, Groningen, the Netherlands

July 2021: Poster - 37th International Cosmic Ray Conference
Application of pattern spectra and convolutional neural networks to the analysis of simulated Cherenkov Telescope Array data, Berlin, Germany

June 2021: Talk - Fundamentals of the Universe (FotU) Mini Symposium
Dark Matter Searches with the Cherenkov Telescope Array, Groningen, the Netherlands

June 2021: Talk - Kapteyn Science Day
Application of Artificial Neural Networks for Dark Matter searches in Dwarf Spheroidal Galaxies with CTA, Groningen, the Netherlands

Networks and memberships


Since 2021: High Energy Stereoscopic System (H.E.S.S.) Collaboration
Gamma-ray experiment

Since 2021: European Physical Society (EPS)
Non-profit organisation

Since 2021: EPS Young Minds
Non-profit organisation

Since 2020: Cherenkov Telescope Array (CTA) Collaboration
Future gamma-ray experiment

Since 2020: Nederlandse Onderzoekschool Voor Astronomie (NOVA)
Netherlands Research School for Astronomy

2019: eROSITA-DE Consortium
X-ray telescope

2018: CMS Collaboration
Particle physics detector on the Large Hadron Collider (LHC) at CERN

Volunteering


2021-2022: Young Minds Groningen
Role: president

Since 2022: Machine Learning Journal Club
Role: organiser

Publications

Below a selection of publications I've contributed to. A full list of my publications is available here.

  • Signal-background separation and energy reconstruction of gamma rays using pattern spectra and convolutional neural networks for the Small-Sized Telescopes of the Cherenkov Telescope Array
    J. Aschersleben, T. T. H. Arnesen, R. F. Peletier, M. Vecchi, C. Vlasakidis, M. H. F. Wilkinson
    Submitted to NIM-A (2023)

    arXiv:2307.05301
  • eROSITA spectro-imaging analysis of the Abell 3408 galaxy cluster
    J. Iljenkarevic, T. H. Reiprich, F. Pacaud, A. Veronica, B. Whelan, J. Aschersleben, K. Migkas, E. Bulbul, J. S. Sanders, M. E. Ramos-Ceja, T. Liu, V. Ghirardini, A. Liu, T. Boller
    Astronomy & Astrophysics 661 (2022): A26

    DOI:10.1051/0004-6361/202141411
  • X-ray studies of the Abell 3158 galaxy cluster with eROSITA
    B. Whelan, A. Veronica, F. Pacaud, T. H. Reiprich, E. Bulbul, M. E. Ramos-Ceja, J. S. Sanders, J. Aschersleben, J. Iljenkarevic, K. Migkas, M. Freyberg, K. Dennerl, M. Kara, A. Liu, V. Ghirardini, N. Ota
    Astronomy & Astrophysics 663 (2022): A171

    DOI:10.1051/0004-6361/202141621
  • The Abell 3391/95 galaxy cluster system-A 15 Mpc intergalactic medium emission filament, a warm gas bridge, infalling matter clumps, and (re-) accelerated plasma discovered by combining SRG/eROSITA data with ASKAP/EMU and DECam data.
    T.H. Reiprich, A. Veronica, F. Pacaud, M.E. Ramos-Ceja, N. Ota, J. Sanders, M. Kara, T. Erben, M. Klein, J. Erler, J. Kerp, D.N. Hoang, M. Brüggen, J. Marvil, L. Rudnick, V. Biffi, K. Dolag, J. Aschersleben, K. Basu, H. Brunner, E. Bulbul, K. Dennerl, D. Eckert, M. Freyberg, E. Gatuzz, V. Ghi Käfer, A. Merloni, K. Migkas, K. Nandra, P. Predehl, J. Robrade, M. Salvato, B. Whelan, A. Diaz Hernandez-Lang, A. Zenteno, M.J.I. Brown, J.D. Collier, J.M. Diego, A.M. Hopkins, A. Kapinska, B. Kor Mroczkowski, R.P. Norris, A. O'Brien, E. Vardoulaki
    Astronomy & Astrophysics 647 (2021): A2

    DOI:10.1051/0004-6361/202039590

Projects

Below a few project that I've developed at work or during my spare time in the past few years. More details are available on my -page.

damspi logo

DAMSPI

Software to calculate dark matter spikes around intermediate mass black holes (available soon)

chessai logo

CheckmAIte

A chess engine based on a convolutional neural network (available soon)

PSNet logo

PSNet

A convolutional neural networks (CNNs) for the analysis of gamma-ray data

Daily paper logo

Daily Paper

A software that searches and opens papers on arXiv that were uploaded on the previous day based on your keywords

Contact

Email
j.j.m.aschersleben@rug.nl

Address
Jann Aschersleben
Faculty of Science and Engineering Astronomy Institute
Kapteyn Astronomical
Landleven 12 (room 0192)
9747 AD Groningen
The Netherlands

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