Results and publications 2023
The publication page is updated.
The publication page is updated.
The publication page is updated.
The difficult 2020 is coming to an end. Annual report time. Despite the difficult times, this year the report turns out
to be even larger than the previous one and no longer fits even into the format of a separate document.
This year, the report is generated by working groups separately and is available in Confluence.
Publications and conferences talks are available on the regular page.
Briefly:
New employees:
The section with particle physics projects on the site is updated. Added sections on atmospheric physics and solar particle detector (text for both sections was prepared by Egor).
Published article on satellite detector. An article on accounting for the number of runaway electrons in the Gurevich model was accepted for publication.
In addition, two vacancies were opened. One vacancy in nuclear physics (more details here). We are looking for a third year or older student interested in this topic.
Second vacancy is in data collection systems field. We are looking for a person who would undertake to master this topic (mainly software + work with protocols of the hardware and transport level) with subsequent work at DESY (Hamburg) on the IAXO experiment.
Contacts are, as usual, here.
In the fall of 2020, we continue our now traditional course Statistical Methods in Experimental Physics. As in the previous year, the course is combined with the basic course "Introduction to Data Analysis", read within the framework of "Physics Horizons" for the second year students from the basic department of the INR RAS "Fundamental Interactions and Cosmology".
This year, the course will be partly remote and with minor format changes. Lectures will be more clearly separated from seminars and will be recorded. The workshops will include significantly more demonstrations of the specific program code used for data analysis. In particular, there will be several sessions of the so-called live-coding. Also, due to the transfer of lectures online (and the help of assistants), we plan to supplement the course program with separate lessons devoted to modern aspects of working with data, such as Monte Carlo methods and Bayesian methods.
The course will be announced online on Wednesday, September 9 at 5:05 pm https://meet.google.com/fqh-izkt-rfu. To distribute relevant information on the course, as well as for questions and discussion, a Telegram group was created: https://t.me/mipt_statmethods.
Additional course materials will be available here.
The course is conducted with JetBrains Research informational support.