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Participants are invited to give short talks on specific research problems they face, seeking new perspectives and fresh approaches. Speakers will lead small team discussions aimed at overcoming the research hurdles presented.
The meeting will feature a keynote seminar by Professor Luis Fernando Alday who has written papers with more than 30 mathematicians and physicists in a distinguished 15 year career.
We are delighted to offer free lunch, morning coffee and afternoon tea to all participants. We have some limited funding to reimburse travel costs. Applications for funding will be fulfilled on a first come, first served basis. There is no conference fee.
Participants are encouraged to maintain an online Collabor8 profile, allowing easy informal interaction before and after the meeting. The deadline for registration is 4th February 2016.
The CSQCD conference will take place at the Gran Sasso Science Institute (GSSI) in L'Aquila (Italy). GSSI is an international PhD school and a center for research and higher education. On May 25 the CSQCD conference will take place at the Gran Sasso National Laboratories (LNGS). LNGS is one of the four national laboratories of INFN (National Institute for Nuclear Physics). It is the largest underground laboratory in the world for experiments in particle physics, particle astrophysics and nuclear astrophysics. Participants to the conference will be picked up at the hotels and transported to LNGS. An underground guided tour will take place that day.
— Advances in understanding high-energy sources (compact objects, accreting binary sources and active galactic nuclei, supernova explosions, gamma-ray bursts) with two complementary courses on clusters of galaxies and applications in fundamental physics.
— State of the art and technological advances in terms of telescopes and detectors. These courses are intended for astrophysicists (particularly those that might later carry instrumental projects) so that they are well aware of the capabilities, but also the limitations of the current techniques and their future developments.
— Data analysis through tutorials on real data. This is particularly important for non-specialists who may get lost in the jargon and specific procedures. Each attendant will have followed at least once all the stages of the analysis with a specialist, making sure that no critical step is forgotten.
Last updated: 08 February 2016