Neutrino physics and astrophysics with the MACRO experiment at the Gran Sasso lab

Giacomelli, G.

doi:10.1590/s0103-97332003000200008

“…In neutrino physics experiments, emulsion detectors like those employed by the DONUT [11] and OPERA [12] collaborations have used MCS to determine particle momenta. Additionally, the MACRO [13] collaboration at Gran Sasso Laboratory utilized this technique. For LArTPCs, the ICARUS collaboration has described the MCS-based determination of particle momentum using a variety of methods [14,15].…”

Section: Multiple Coulomb Scatteringmentioning

confidence: 99%

Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering

Abratenko¹,

Acciarri²,

Adams³

et al. 2017

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A: We discuss a technique for measuring a charged particle's momentum by means of multiple Coulomb scattering (MCS) in the MicroBooNE liquid argon time projection chamber (LArTPC). This method does not require the full particle ionization track to be contained inside of the detector volume as other track momentum reconstruction methods do (range-based momentum reconstruction and calorimetric momentum reconstruction). We motivate use of this technique, describe a tuning of the underlying phenomenological formula, quantify its performance on fully contained beam-neutrino-induced muon tracks both in simulation and in data, and quantify its performance on exiting muon tracks in simulation. Using simulation, we have shown that the standard Highland formula should be re-tuned specifically for scattering in liquid argon, which significantly improves the bias and resolution of the momentum measurement. With the tuned formula, we find agreement between data and simulation for contained tracks, with a small bias in the momentum reconstruction and with resolutions that vary as a function of track length, improving from about 10% for the shortest (one meter long) tracks to 5% for longer (several meter) tracks. For simulated exiting muons with at least one meter of track contained, we find a similarly small bias, and a resolution which is less than 15% for muons with momentum below 2 GeV/c. Above 2 GeV/c, results are given as a first estimate of the MCS momentum measurement capabilities of MicroBooNE for high momentum exiting tracks.

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“…have since been observed by SNO [8], MACRO [9], and others. Neutrinos are also produced in the far reaches of space.…”

Section: -Albert Einsteinmentioning

confidence: 75%

“…2. 9. Thus the probability that a neutrino is created as one flavor eigenstate but interacts as another is non-zero.…”

Section: " -Niels Bohrmentioning

confidence: 99%

Measurement of Long Baseline Neutrino Oscillations and Improvements from Deep Learning

Psihas¹

2018

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Especially, I want to acknowledge Evan Niner for his support, his respect and also his patience, and to Michael Baird for his wisdom and example. Whatever stage of our careers Evan and Michael will continue to be my older brother examples to follow.Naturally, a special thanks should go to my closest CVN companions, Dominick Rocco who academia misses terribly, Alex Radovic my best arguing buddy, and Adam Aurisano who is just super nice.More recently, to Micah Groh, who has taken on so much in such a short time, thank you for allowing me to get you started and for all the fun that followed. And to Diana P. Mendez, Teresa Lackey, Ryan Murphy and Shiqi Yu for taking the many batons I had been running with on NOvA. Science is a passion from which half the fun is talking about. Thank you for listening.I was lucky to learn important lessons from many of my peers, for those lessons I thank Erika Catano-Mur, an unexpected companion at crunch time and an accomplice to always sneak in "just one more improvement", as well as my friends Kuldeep Kaur Maan, Biswaranjan Behera, and Liudmila Kolux paeva who are my examples of hard work and commitment and who make me always want to do better.I would also like to acknowledge people outside of NOvA who gave me advice, friendship, and opportunities for growth, such as Joseph Zennamo with whom I am delighted to talk about any physics, any day. To Sergei Gleyzer for introducing me to new perspectives to problems and the whole field, and especially my good friend Francesco Capozzi with whom I endured the longest, best hikes ever, and who in turn endured with me the proof-reading of my theory chapter.Lastly, a special acknowledgement to the people who have marked my PhD and my last few years, and potentially the few who have continued to read this far:To my friend, colleague and co-watchdog leader Louise Suter, whom I love not only for her friendship but for her example of brilliance and integrity.To Gavin Davies for being for me, like for NOvA, the string tying all loose ends together. Sometimes things seem to stand tall on their own, but there is always a support that keeps them from falling.To Justin Vasel, who is my family away from family, my brother and partner in adventure. Thank you for all the proof-reads, all the encouragement, and for always believing in me. I would not be where I am now if I didn't have you in my life.Thank you to Fermi National Accelerator Laboratory, a home away from home where I learned the true meaning and value of great American science.

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“…In neutrino physics experiments, emulsion detectors like those employed by the DONUT [11] and OPERA [12] collaborations have used MCS to determine particle momenta. Additionally, the MACRO [13] collaboration at Gran Sasso Laboratory utilized this technique. For LArTPCs, the ICARUS collaboration has described the MCS-based determination of particle momentum using a variety of methods [14,15].…”

Section: Multiple Coulomb Scatteringmentioning

confidence: 99%

Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering

Abratenko,

Acciarri,

Adams

et al. 2017

Preprint

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A: We discuss a technique for measuring a charged particle's momentum by means of multiple Coulomb scattering (MCS) in the MicroBooNE liquid argon time projection chamber (LArTPC). This method does not require the full particle ionization track to be contained inside of the detector volume as other track momentum reconstruction methods do (range-based momentum reconstruction and calorimetric momentum reconstruction). We motivate use of this technique, describe a tuning of the underlying phenomenological formula, quantify its performance on fully contained beam-neutrino-induced muon tracks both in simulation and in data, and quantify its performance on exiting muon tracks in simulation. Using simulation, we have shown that the standard Highland formula should be re-tuned specifically for scattering in liquid argon, which significantly improves the bias and resolution of the momentum measurement. With the tuned formula, we find agreement between data and simulation for contained tracks, with a small bias in the momentum reconstruction and with resolutions that vary as a function of track length, improving from about 10% for the shortest (one meter long) tracks to 5% for longer (several meter) tracks. For simulated exiting muons with at least one meter of track contained, we find a similarly small bias, and a resolution which is less than 15% for muons with momentum below 2 GeV/c. Above 2 GeV/c, results are given as a first estimate of the MCS momentum measurement capabilities of MicroBooNE for high momentum exiting tracks.

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Neutrino physics and astrophysics with the MACRO experiment at the Gran Sasso lab

Cited by 5 publications

References 5 publications

Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering

Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering

Measurement of Long Baseline Neutrino Oscillations and Improvements from Deep Learning

Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering

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