The double-differential quasi-elastic-like (CCQE) anti-neutrino cross section from the MINERvA experiment medium energy sample as a function of transverse (pT) and longitudinal (p||) momentum. The dark points are the data and the curves show various neutrino interactions models.
Amit Bashyal’s thesis work on anti-neutrino quasi-elastic scattering has been published as Bashyal et. al., “High-statistics measurement of antineutrino quasielastic-like scattering at Eν ~ 6 GeV on a hydrocarbon target”, Phys. Rev. D 108, 032018 , in the August 1 issue of Physical Review D. This paper uses the full MINERvA medium-energy data sample with 635,592 candidate interactions and the improved MINERvA neutrino flux and energy scale (see Amit’s previous paper, Bashyal et. al., “Use of neutrino scattering events with low hadronic recoil to inform neutrino flux and detector energy scale”, 2021 JINST16 ).
Left: Measured (data points) and MINERvA Tune v1 prediction (dotted lines) of CCQE-like dσ/dQ2 for neutrinos (red) and antineutrinos (this measurement, black) extracted with at neutrino and antineutrinos energies ∼6 GeV. Right: Summary of fractional uncertainties on the differential antineutrino cross section as a function of Q2.
Comparisons of the cross section predicted by various tunes applied on GENIE with respect to the baseline GENIE 2.12.6 (black) as a function of Q2 (left). MINERvA Tune v1 (blue) is the standard simulation tuned to the MINERvA low energy data. MINERvA Tune v2 (red) is MINERvA Tune v1 with non-resonant pions suppressed in the low Q2 region. The remaining curves on the left show the effect of enabling different corrections to the base model. The plots on the right show comparisons of cross-section predictions for GENIE v3.0.6 (dotted lines) with the MINERvA tuned GENIE v2.12.6 predictions. Inner error bars represent statistical uncertainties and outer error bars represent systematic uncertainties.
The new GENIE 3 series models do a much better job of explaining the high Q2 dependence of the observed cross section.
Full details are available in his doctoral thesis. Amit is now a postdoc at Argonne National Laboratory.
Our friends at the University of Edinburgh tell us that STFC Rutherford Fellow Cheryl Patrick – who got her doctorate in the Schellman group in 2016 – has now been elected co-spokesperson for the Super-NEMO experiment.
3 present or former spokespeople (Schellman – E665, Patrick – SuperNEMO, Fields – MINERvA). This is Cheryl graduating in 2016.
Here is what they say in their post:
Super spokesperson for SuperNEMO
Dr Cheryl Patrick has been elected as co-spokesperson for an international collaboration working to uncover the mysteries of neutrinos.
The SuperNEMO (Neutrino Ettore Majorana Observatory) collaborators are looking for evidence of neutrinoless double beta decay – a rare type of radioactive decay which has been predicted, but has never been observed.
The collaboration brings together around 100 physicists and engineers across three continents, including UK collaborators from University College London, Warwick, Manchester and Imperial College.
The collaboration uses a detector located in a tunnel at the Modane Underground Laboratory, beneath the French Alps, to search for neutrinoless double-beta decay. If this hypothesised process exists, it could give us clues to how we live in a universe of matter rather than antimatter, as well as help us to understand neutrinos – some of the most abundant, but least understood, subatomic particles in the universe.
Cheryl joined the University of Edinburgh last year as an STFC Ernest Rutherford Fellow with a research plan to uncover the mysteries of neutrinos, and SuperNEMO was at its heart. Cheryl will serve as spokesperson for the collaboration alongside Christine Marquet who is based in the University of Bordeaux’s Laboratoire de Physique des Deux Infinis Bordeaux (LP2I) group.
Cheryl, who is based in the School’s Particle Physics Experiment research group, explains:
SuperNEMO is a fantastic experiment, which uses a unique technology to help us understand double-beta decay in new and original ways. I was delighted to be able to bring Edinburgh on board, and have been lucky to find such an amazing team of undergraduate, masters and PhD students here, who have been making great contributions to the experiment. This is a really exciting time for us as we start collecting our first physics data. I can’t wait to find out what we can learn about neutrinos and the double-beta decay process, and I’m honoured and humbled that the SuperNEMO family has chosen me to help lead the collaboration through such a thrilling new phase.
Related links
Dr Cheryl Patrick (School of Physics & Astronomy, University of Edinburgh)
Oregon State Physics is part of a new $3.2 million consortium funded by the U.S. Department of Energy Office of Science to train the next generation of computational high-energy physicists.
The new Western Advanced Training for Computational High-Energy Physics (WATCHEP)[https://watchep.org] brings together six public universities and three national laboratories to create a tailored modular curriculum and offer intensive research opportunities during a two-year training period for graduate students. The specific training areas are hardware-software co-design, collaborative software infrastructure, and high-performance software and algorithms.
Co-PI, Prof. Heidi Schellman, of Oregon State Physics is developing online training materials as part of this project. We expect the first cohort of students to start in 2023.
As physics and astrophysics experiments collect more data for high-precision measurements, researchers have come to depend on large-scale computing infrastructure and high-performance computing algorithms. Many collaborations have dedicated experts in advanced computing technologies who are also experts in particle physics.
“Future high energy physics discoveries will require large accurate simulations and efficient collaborative software”, said Regina Rameika, DOE Associate Director of Science for High Energy Physics (https://www.energy.gov/science/articles/department-energy-announces-10-million-traineeships-computational-high-energy). “These traineeships will educate the scientists and engineers necessary to design, develop, deploy, and maintain the software and computing infrastructure essential for the future of high energy physics.”
“The students from this program will become ‘computing ambassadors’ and take their cutting-edge expertise into the large science collaborations with enormous datasets and computational complexity” said Principal Investigator, UC Santa Cruz Physics professor Jason Nielsen. “A unique aspect of the program is additional training in communications, project leadership, and responsible conduct.”
The WATCHEP institutes joining Oregon State University in this program are UC Berkeley, UC Irvine, UC San Diego, UC Santa Barbara, UC Santa Cruz, University of Washington, Brookhaven National Lab, Fermilab, and Lawrence Berkeley Lab.
Jake came to OSU from West Point having completed an MS at the Naval Postgraduate School with Dr. Craig Smith on experimental characterization of inorganic scintillators. He was going to continue that work on a novel hybrid technology from the Kharkiv Institute for Scintillation Materials but COVID19 made travel to perform experiments impossible so he switched to a very successful effort to simulate the detector systems using the geant4 software suite. This involved novel work incorporating the optical properties of granular gadolinium orthosilicate into the model and experimental validation of the simulation with numerous sources and detector materials. The code he developed allows the design of new neutron detection systems.
Simulation of the longitudinal response of a sandwich of granular GSO/lucite sandwich to neutrons and photons.
Jake is now returning to West Point as an Academy Professor. Congratulations Jake!
Oregon State Physics is leading a Department of Energy Office of Science funded project to design computing and software infrastructure for the DUNE experiment. DUNE is a future neutrino experiment that will aim a neutrino beam from Fermilab, in Batavia Illinois, at a very large detector in the Homestake mine in Lead, South Dakota. The experiment is currently under construction with a 5% prototype running at CERN in 2018 and 2022 and the full detector expected in 2029. These experiments generate data at rates of 1-2 GB/sec, or 30 PB/year which must be stored, processed and distributed to over 1,000 scientists worldwide.
The LBNF neutrino beam traveling (right to left) from Fermilab in Illinois to the Sanford Lab in South Dakota
The project “Essential Computing and Software Development for the DUNE experiment” is funded for 3M$ over 3 years, shared among 4 Universities (Oregon State, Colorado State, Minnesota and Wichita State) and three national laboratories (Argonne National Laboratory, Fermi National Laboratory and Brookhaven National Laboratory). The collaborators will work with colleagues worldwide on advanced data storage systems, high performance computing and databases in support of the DUNE physics mission. See https://www.dunescience.org/ for more information on the experiment.
PI Heidi Schellman (Oregon State Physics) leads the DUNE computing and software consortium which is responsible for the international DUNE computing project. Physics graduate student Noah Vaughan helps oversee the global grid processing systems that DUNE uses for data reconstruction and simulation and recent graduate Amit Bashyal helped design the DUNE/LBNF beamline. Graduate student Sean Gilligan is performing a statistical analysis of data transfer patterns to help optimize the design of the worldwide data network. Postdoc Jake Calcutt recently joined us from Michigan State University and is designing improved methods for producing data analysis samples for the ProtoDUNE experiment at CERN.
One of the major thrusts of the Oregon State project is the design of robust data storage and delivery systems optimized for data integrity and reproducibility. 30 PB/year of data will be distributed worldwide and processed through a complex chain of algorithms. End users need to know the exact provenance of their data – how was it produced, how was it processed, was any data lost – to ensure scientific reproducibility over the decades that the experiments will run. Preliminary versions of the data systems have already led to results from the protoDUNE prototype experiments at CERN which are described in https://doi.org/10.1088/1748-0221/15/12/P12004 and https://doi.org/10.1051/epjconf/202024511002.
As an example of this work, three Oregon State Computer Science Majors (Lydia Brynmoor, Zach Lee and Luke Penner) worked with Fermilab scientist Steven Timm on a global monitor for the Rucio storage system shown below. This illustrates test data transfers between compute sites in the US, Brazil and Europe. The dots indicate compute sites in the DUNE compute grid while the lines illustrate test transfers.
Data transfer diagram for DUNE data.
Other projects will be a Data Dispatcher which optimizes the delivery of data to CPU’s across the DUNE compute systems and monitoring of data streaming between sites.
His thesis combines his work on neutrino fluxes for the DUNE and MINERvA experiments, which has been submitted to JINST and a new high statistics measurement of anti-neutrino quasi-elastic scattering which we’re writing up.
He is moving to Argonne National Laboratory where he will be working on the HCP-CCE project and the DUNE collaboration.
Postdoc Mateus Carneiro has moved on to a position at Brookhaven National Laboratory but he left us with a really nice paper in Physics Review Letters.
M.Carneiro et al. [MINERvA], “High-Statistics Measurement of Neutrino Quasielasticlike Scattering at 6 GeV on a Hydrocarbon Target”, Phys. Rev. Lett. 124, no.12, 121801 (2020), doi:10.1103/PhysRevLett.124.121801
Graduate Student Amit Bashyal did many of the cross-checks for this complicated measurement and wrote a summary for FermiNews which is copied below. Amit’s thesis topic is the parallel measurement for anti-neutrinos.
Hard to believe you can play pool with neutrinos, but certain neutrino interaction events are closer to the game than you think.
In these charged-current quasielastic interactions — let’s call them CCQE interactions for short — a neutrino strikes a particle in an atom’s nucleus — a proton or a neutron. Two particles emerge from the collision. One is a muon, a heavier cousin of the electron. The other is either a proton (if the stationary particle is a neutron) or a neutron (if the stationary particle is a proton).
The neutrino interactions that result from these quasielastic reactions are like the collisions between balls in a game of pool: You can guess the energy of the incoming neutrino by measuring the direction and energy of only one of the outgoing particles, provided you know the types of all four particles that were in the interaction in the first place and the original direction of the neutrino.
CCQE interactions are an important interaction mode of neutrinos in current and future neutrino oscillation experiments, such as the international Deep Underground Neutrino Experiment, hosted by Fermilab.
They are similar to the elastic interactions every pool player knows except in one important way: The weak nuclear force allows the particles to change from one kind into another, hence the “quasielastic” name. In this subatomic pool game, the cue ball (neutrino) strikes a stationary red ball (proton), which emerges from the collision as an orange ball (neutron).
This display shows a CCQE-like event reconstructed in the MINERvA detector. Image: MINERvA
Since most modern neutrino experiments use targets made of heavy nuclei ranging from carbon to argon, nuclear effects and correlations between the neutrons and protons inside the nucleus can cause significant changes in the observed interaction rates and modifications to the estimated neutrino energy.
At MINERvA, scientists identify the CCQE interactions by a long muon track left in the particle detector and potentially one or more proton tracks. However, this experimental signature can sometimes be produced by non-CCQE interactions due to nuclear effects inside the target nucleus. Similarly, nuclear effects can also modify the final-state particles to make a CCQE event look like a non-CCQE event and vice versa.
Since nuclear effects can make it challenging to identify a true CCQE event, MINERvA reports measurements based on the properties of the final-state particles only and calls them CCQE-like events (since they will have contributions from both true CCQE and non-CCQE events). A CCQE-like event is one that has at least one outgoing muon, any number of protons or neutrons, and no mesons as final-state particles. (Mesons, like protons and neutrons, are made of quarks. Protons and neutrons have three quarks; mesons have two.)
MINERvA has measured the likelihood of CCQE-like neutrino interactions using Fermilab’s medium-energy neutrino beam, with the neutrino flux peaking at 6 GeV. Compared to MINERvA’s earlier measurements, which were conducted with a low-energy beam (3 GeV peak neutrino flux), this measurement has the advantage of a broader energy reach and much larger statistics: 1,318,540 CCQE-like events compared to 109,275 events in earlier low-energy runs.
MINERvA made these CCQE interaction probability measurements as a function of the square of the momentum transferred by the neutrino to the nucleus, which scientists denote as Q2. The plot shows discrepancies between the data and most predictions in low-Q2 and high-Q2 regions. By comparing MINERvA’s measurement with various models, scientists can refine them and better explain the physics inside the nuclear environment.
This plot shows the ratio of cross-section as a function of Q2 of data and various predictions with respectto one commonly used interaction model. Image: MINERvA
MINERvA has also made more detailed measurements of the probability of neutrino interaction based on the outgoing muon’s momentum. They take into account the muon’s momentum both in the direction of the incoming neutrino’s trajectory and in the direction perpendicular to its trajectory. This work helps current and future neutrino experiments understand their own data over a wide range of muon kinematics.
Mateus Carneiro, formerly of the Brazilian Center for Research in Physics and Oregon State University and now at Brookhaven National Laboratory, and Dan Ruterbories of the University of Rochester were the main drivers of this analysis. The results were published in Physical Review Letters.
Amit Bashyal is an Oregon State University scientist on the MINERvA experiment.
This work is supported by the DOE Office of Science, National Science Foundation, Coordination for the Improvement of Higher Education Personnel in Brazil, Brazilian National Council for Scientific and Technological Development, Mexican National Council of Science and Technology, Basal Project in Chile, Chilean National Commission for Scientific and Technological Research, Chilean National Fund for Scientific and Technological Development, Peruvian National Council for Science, Technology and Technological Innovation, Research Management Directorate at the Pontifical Catholic University of Peru, National University of Engineering in Peru, Polish National Science Center and UK Science and Technology Facilities Council.
Fermi National Accelerator Laboratory is supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit science.energy.gov.
Amit Bashyal (far right) at the Neutrino summer school in Illinois.
5th year grad student Amit Bashyal’s team won a group presentation prize at the International Neutrino Summer School for their study of magnetization of DUNE experiment far detectors. Students were divided into groups given a short time to do an original study and then present it! Congratulations Amit and team!
3 other Schellman group members and alumni are pictured. Laura Fields (Fermilab, 6th from left) and Cheryl Patrick (UCL, 7th from left) were lecturers at the summer school and 2nd year student Sean Gilligan (3rd from right) also attended.
Differential QE-like cross section dσ(E_QEν)/dQ^2_QE, in bins of E_QEν. Inner error bars show statistical uncertainties; outer error bars show total (statistical and systematic) uncertainty. The red histogram shows the MINERvA-tuned GENIE model used to estimate smearing and acceptance.
The much anticipated paper version of Cheryl Patrick’s thesis has been accepted by Physical Review D. Check it out at:
