Internal_Note

The upcoming PANDA experiment at FAIR will be one among a new generation of experiments
making use of a fully-software based trigger system where PID and tracking will play main roles. The
high data rate of up to 200 GB/s implies a need to reduce the amount of data by a factor of up to
1000, which in turn puts high demands on the online tracking algorithms.
Hyperon physics will be one of the main pillars of the PANDA experimental program from the
start of the experiment. The trigger system therefore needs to be able to recognize certain hyperon
channels, mainly based on tracking. One of the main challenges of tracking hyperons is their relatively
long lifetime which makes them decay a measurable distance from the interaction point.
In this report, the tracking detectors of PANDA, the software framework as well as some tracking
algorithms are discussed. The report also maps out the behavior of the main decay products of
the hyperons in the reactions $\bar{p}p\rightarrow\bar{\Lambda}\Lambda$, $\bar{p}p\rightarrow\bar{\Xi}^+\Xi^-$
and $\bar{p}p\rightarrow\bar{\Omega}^+\Omega^-$ in the target spectrometer
of PANDA and the detector signatures of the final state particles. Conclusions are drawn on how
to proceed to develop the most eficient online tracking and event reconstruction possible for these
channels at PANDA.

PPT/PDF of PANDA Institutions, Dec 2019

to be used until it will be replaced by a new version

the files contain versions with and without the globe in the background

Reworked rules 2017/06

The construction of large scale high energy physics experiments present many
exciting challenges in various fields. One crucial task the development of technology
has to handle is the immense amount of data generated by detectors in accelerator
experiments. This paper deals with the upcoming PANDA experiment currently
in construction in Darmstadt, Germany, which is expected to generate data at a
rate of 200 GB/s. The size of the data stream has to be significantly reduced
by a triggering system, which filters the data before storage. Triggering systems
have traditionally been implemented in hardware, by tuning the detectors to only
collect data for short time windows when signals are registered. However, due to
the high technical demands, the PANDA experiment will use an entirely software-
based trigger. The filtering will be performed using algorithms to reconstruct physical
observables from the raw data which are then used to select the interesting data
segments for storage.
This paper describes the implementation of a prototype for real-time software
triggering for a subdetector of the PANDA experiment. The prototype is highly
scalable and implemented with the use of the MPI and OpenMP frameworks. In addition, new algorithms for early event reconstruction based on raw data are
presented.

The internal note summarizes the changes to the Governance Rules of
PANDA proposed by the membership committee 2016.