Events and Seminars at or with MPE

Münchener Physik Kolloquium

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"Meet the speaker''

We invite you to a student-only discussion-round with the speaker before his Munich Physics Colloquium talk. Be curious and feel free to ask any question. [more]

High-Energy Seminar

Cosmology Seminar

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HI in IllustrisTNG and Dark Sage galaxies


Café & Kosmos

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Das Neutrino auf der Waage

Das Neutrino ist eines der faszinierendsten Teilchen im Standardmodell der Teilchenphysik. Es fliegt durch Materie hindurch ohne Spuren zu hinterlassen. Es spielt eine wichtige Rolle bei der Entwicklung von Strukturen im frühen Universum. Eines der großen Rätsel, das uns das Neutrino bis heute aufgibt ist seine Masse – bisher lässt sich nicht eindeutig feststellen, wie schwer es wirklich ist. Ein neues Instrument soll hier Klarheit bringen: Am 11. Juni 2018 wird das KATRIN-Experiment eingeweiht. Dr. Susanne Mertens vom Max-Planck-Institut für Physik erklärt, wie diese „Neutrinowaage“ funktioniert und welche Schlussfolgerungen sich aus der Neutrinomasse ziehen lassen. Mit ihrer Gruppe fahndet sie außerdem nach sterilen Neutrinos: Diese bisher unbekannte Neutrino-Variante kommt als weiterer Kandidat für Dunkle Materie infrage. [more]

ESO Informal Discussion

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Astronomy that can make you throw up


USM Colloquium

Cosmology Lecture

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Gravitational Waves from Inflation


Munich Joint Astronomy Colloquium

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Do the constants of nature vary?


Bayes Forum - Talk

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Adaptive Harmonic Mean Integration and Application to Evidence Calculation

Abstract: Evaluating the integral of a density function, e.g. to calculate the Bayes Factor, can computationally be very costly or even impossible, all the more if the density function is complicated in that it is multi-modal or high-dimensional. However, if one has already generated samples from such a density function, e.g. by using a Markov Chain Monte Carlo algorithm, then the harmonic mean integration provides a technique that can directly utilize such samples in order to calculate an integration estimate. By restricting the harmonic mean integration to subvolumes one can avoid the well-known problem of having an infinite variance of the harmonic mean estimator. [more]

Biermann lectures: New Probes of Distant Galaxies and Their Cosmic Environments During the Peak Epoch of Star Formation

Bayes Forum - Talk

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3D Reconstruction and Understanding of the Real World

In this talk, I will cover our latest research on 3D reconstruction and semantic scene understanding. To this end, we use modern machine learning techniques, in particular deep learning algorithms, in combination with traditional computer vision approaches. Specifically, I will talk about real-time 3D reconstruction using RGB-D sensors, which enable us to capture high-fidelity geometric representations of the real world. In a new line of research, we use these representations as input to 3D Neural Networks that infer semantic class labels and object classes directly from the volumetric input. In order to train these data-driven learning methods, we introduce several annotated datasets, such as ScanNet and Matterport3D, that are directly annotated in 3D and allow tailored volumetric CNNs to achieve remarkable accuracy. In addition to these discriminative tasks, we put a strong emphasis on generative models. For instance, we aim to predict missing geometry in occluded regions, and obtain completed 3D reconstructions with the goal of eventual use in production applications. We believe that this research has significant potential for application in content creation scenarios (e.g., for Virtual and Augmented Reality) as well as in the field of Robotics where autonomous entities need to obtain an understanding of the surrounding environment. [more]

Biermann lectures: New Probes of Distant Galaxies and Their Cosmic Environments During the Peak Epoch of Star Formation

Biermann lectures: New Probes of Distant Galaxies and Their Cosmic Environments During the Peak Epoch of Star Formation

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