As explained in the first installment of this series, these questions are a warm-up for my younger colleagues, who will in two months have to pass a tough exam to become INFN researchers.A disclaimer follows:

As explained in the first installment of this series, these questions are a warm-up for my younger colleagues, who will in two months have to pass a tough exam to become INFN researchers.

A disclaimer follows:

I offer these questions as a self-test of one's knowledge in particle physics. I am not part of the INFN selection committee. I have no connection to the selection committee, nor any insider information on how the exam will be structured. All I know about it is what is contained in the official call, available to everybody. I do have some previous experience with INFN selections of researchers, but this needs not be relevant for this year's selection.


That said, here are four question together, as I have been with no internet connection for a full week, so this series lagged behind a bit. Also, the two last problems are connected to each other. Note that the second problem requires some writing, but one needs to be very concise.  Also note that problem 4 is tougher than the rest for the average particle physicist, but this is in the spirit of a large set of problems, in an exam where time is limited and no student is expected to solve everything perfectly...


1 - What is the threshold for antiproton creation in the reaction pp->X at a fixed-target experiment ?


2 - Discuss the Altarelli-Parisi equations and their importance for particle physics measurements


3 - Let x_1 and x_2 be uncorrelated measurements, sampled from Gaussian PDFs with known variances sigma_1 and sigma_2, of the same physical quantity x. Using error propagation, show that the weighted mean μ* = (x1/sigma_1^2 + x2/sigma_2^2) / (1/sigma_1^2 + 1/sigma_2^2)  is the estimator of x with the smallest variance.


4 - Suppose you have a measurement x_1 of a physical quantity x, with a variance sigma_1^2=1.0. Assume x_1 is sampled from a Gaussian PDF. You are offered to improve the knowledge of x by performing a second Gaussian measurement x_2 with variance sigma_2=4.0 and taking the weighted mean of the two. You can choose to perform the second measurement with one of two different instruments, both of which provide a measurement of x with variance sigma_2=4.0. The first measurement will have a 50% correlation with x_1; the second one will have a correlation of 75%. 
Compute the variance of the weighted average and explain which method you should choose.


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Tommaso Dorigo

Tommaso Dorigo is an experimental particle physicist, who works for the INFN at the University of Padova, and collaborates with the CMS experiment at the CERN LHC. He coordinates the European network AMVA4NewPhysics as well as research in accelerator-based physics for INFN-Padova, and is an editor of the journal Reviews in Physics. In 2016 he published the book "Anomaly! Collider physics and the quest for new phenomena at Fermilab". Read more