Sascha Caron

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@freyablekman looks like joseph beuys 7000 eichen .. en.wikipedia.org/wiki/7000_Oaks

[2211.09796] Sascha Caron, Christopher Eckner, Luc Hendriks et al.: Mind the gap: The discrepancy between simulation and reality drives interpretations of the Galactic Center Excess arxiv.org/abs/2211.09796 arxiv.org/pdf/2211.09796… #astro_ph_HE

arxiv.org/abs/2211.09796 Galactic Center GeV Excess (GCE): We find that conclusions (dark matter or not, i.e. f_src=0 or 1, graph below) strongly depend on the type of simulation. + we find a gap between all models & reality. Question: Does this apply to all works on the GCE?

For those interested in Dark Matter and the excess of gamma rays in the Galactic Center, I think tomorrow we will have an interesting article on arxiv. This work actually took 5 years...

Main work done by Rob Verheyen and Zhongyi Zhang. Thanks !

Try to find 4 top events at LHC ! We present a dataset to compare classifiers and comparisons of classifiers. Best: transformers+particle net with pairwise interactions. Compared to performance of baseline (BDT) the improvement is 30−50% in run time. arxiv.org/abs/2211.05143

Tomorrow I give a talk about: "How machine learning and efficient computing can make data-intensive science more sustainable: examples and ideas from particle physics and astronomy". Would be cool to find collaborators (and yes, this all would need funding...)

Before our kids learn anything, they probably need to understand the proof why 1+1 = 2... en.wikipedia.org/wiki/Principia…

Nice talk by @SaschaCaron today at the @ATLASexperiment exotics workshop, organised at @_nikhef by @fladias_phys. Many topics and food for thought, including work with @MCvBeekveld and @claranellist: arxiv.org/pdf/2105.14027… PS: you did write it down somewhere right Melissa 🧐😇

We estimated the speed (latency) and power consumption of running a deep anomaly detection network for LHC on GPUs, CPUs, and a novel analog neuromorphic in-memory architecture. Huge speed gain (50 nanoseconds inference) + minimal power consumption arxiv.org/abs/2209.10481

@claranellist @_nikhef Zeer gewaardeerd + we moeten doorgaan: Let's rock the top ;)

I especially want to thank @SaschaCaron for all of the support during my time at Radboud and I'm also looking forward to continuing to work together on Machine Learning and Top physics in @_nikhef !

This also means that yesterday was my last day at @radboudscience as an REI Fellow. I've really enjoyed the last three years with the group, despite the global challenges that meant we couldn't meet so much in person, & I look forward to still collaborating with colleagues there.

My favorite podcast about physics (in German). Strongly recommended.

Source: arxiv.org/pdf/2207.07631… Mainly work by Zhongyi Zhang.

Conclusion: Best performers: - The best "unsupervised" methods - The "random mixture of Theories" Bad performance: - autoencoders and traditional methods - supervised methods

We made an addition to the unsupervised (coloured markers) @dark_machines LHC data challenge asking: Obvious: How well are supervised methods to search for unknowns signals (in orange) ? Weird: Can we find unknown signals by *Mixing* random Physical Theories (black M's) ?

We investigated the interplay of Dark Matter (DM) and Neutrinos and found some interesting (and I think new) phenomena, e.g. DM Neutrino signals can be peaks and boxes (also in combination) , see today's paper arxiv.org/abs/2207.00599 (work mainly by Jochem Kip & Zhongyi Zhang)

@bob_stienen I have a bit of data, we have two exams in Particle+Cosmos, the correlation is very high, the variance in grades between exam1 and exam2 (quite uncorrelated because done by different lecturers) is about 0.5-1.

All joking aside, what effect do inherent uncertainties in an #exam (i.e. the measurement device to measure the skills of our students) have and how large are they?

🔬 Science: all measurements are, to some degree, uncertain and it is important to take these uncertainties into account when interpreting results! 🎓 Education: Exam grade lower than a 6? LOL! Sucks to suck, I guess. Try again next time.

My anomaly detection day ;) - Very well organised PhyStat workshop indico.cern.ch/event/1138933/… - Nature article on "How the revamped Large Hadron Collider will hunt for new physics" nature.com/articles/d4158…

I am looking for the first application of a real non-linear multivariate classifier in HEP (beyond Fisher etc.), I know the 1987 paper by B. Denby on NN etc., see sciencedirect.com/science/articl…, includes also NN triggers in 1987... ). Suggestions ? Thanks.