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9 results on '"Nikseresht, G."'

1. Adjusting Neutrino Interaction Models and Evaluating Uncertainties using NOvA Near Detector Data

Author

NOvA Collaboration, Acero, M. A., Adamson, P., Agam, G., Aliaga, L., Alion, T., Allakhverdian, V., Anfimov, N., Antoshkin, A., Asquith, L., Aurisano, A., Back, A., Backhouse, C., Baird, M., Balashov, N., Baldi, P., Bambah, B. A., Bashar, S., Bays, K., Bending, S., Bernstein, R., Bhatnagar, V., Bhuyan, B., Bian, J., Blair, J., Booth, A. C., Bour, P., Bowles, R., Bromberg, C., Buchanan, N., Butkevich, A., Calvez, S., Carroll, T. J., Catano-Mur, E., Childress, S., Choudhary, B. C., Coan, T. E., Colo, M., Corwin, L., Cremonesi, L., Davies, G. S., Derwent, P. F., Ding, P., Djurcic, Z., Doyle, D., Dukes, E. C., Dung, P., Duyang, H., Edayath, S., Ehrlich, R., Elkins, M., Feldman, G. J., Filip, P., Flanagan, W., Franc, J., Frank, M. J., Gallagher, H. R., Gandrajula, R., Gao, F., Germani, S., Giri, A., Gomes, R. A., Goodman, M. C., Grichine, V., Groh, M., Group, R., Guo, B., Habig, A., Hakl, F., Hartnell, J., Hatcher, R., Hatzikoutelis, A., Heller, K., Hewes, V, Himmel, A., Holin, A., Howard, B., Huang, J., Hylen, J., Jediny, F., Johnson, C., Judah, M., Kakorin, I., Kalra, D., Kaplan, D. M., Keloth, R., Klimov, O., Koerner, L. W., Kolupaeva, L., Kotelnikov, S., Kullenberg, Ch., Kumar, A., Kuruppu, C. D., Kus, V., Lackey, T., Lang, K., Li, L., Lin, S., Lokajicek, M., Luchuk, S., Maan, K., Magill, S., Mann, W. A., Marshak, M. L., Martinez-Casales, M., Matveev, V., Mayes, B., Méndez, D. P., Messier, M. D., Meyer, H., Miao, T., Miller, W. H., Mishra, S. R., Mislivec, A., Mohanta, R., Moren, A., Morozova, A., Mualem, L., Muether, M., Mufson, S., Mulder, K., Murphy, R., Musser, J., Naples, D., Nayak, N., Nelson, J. K., Nichol, R., Nikseresht, G., Niner, E., Norman, A., Norrick, A., Nosek, T., Olshevskiy, A., Olson, T., Paley, J., Patterson, R. B., Pawloski, G., Petrova, O., Petti, R., Plunkett, R. K., Rafique, A., Psihas, F., Radovic, A., Raj, V., Ramson, B., Rebel, B., Rojas, P., Ryabov, V., Samoylov, O., Sanchez, M. C., Falero, S. Sánchez, Seong, I. S., Shanahan, P., Sheshukov, A., Singh, P., Singh, V., Smith, E., Smolik, J., Snopok, P., Solomey, N., Sousa, A., Soustruznik, K., Strait, M., Suter, L., Sutton, A., Sweeney, C., Talaga, R. L., Oregui, B. Tapia, Tas, P., Thayyullathil, R. B., Thomas, J., Tiras, E., Torbunov, D., Tripathi, J., Torun, Y., Urheim, J., Vahle, P., Vallari, Z., Vasel, J., Vokac, P., Vrba, T., Wallbank, M., Warburton, T. K., Wetstein, M., Whittington, D., Wojcicki, S. G., Wolcott, J., Dombara, A. Yallappa, Yonehara, K., Yu, S., Yu, Y., Zadorozhnyy, S., Zalesak, J., Zhang, Y., and Zwaska, R.

Subjects
High Energy Physics - Experiment
Abstract

The two-detector design of the NOvA neutrino oscillation experiment, in which two functionally identical detectors are exposed to an intense neutrino beam, aids in canceling leading order effects of cross-section uncertainties. However, limited knowledge of neutrino interaction cross sections still gives rise to some of the largest systematic uncertainties in current oscillation measurements. We show contemporary models of neutrino interactions to be discrepant with data from NOvA, consistent with discrepancies seen in other experiments. Adjustments to neutrino interaction models in GENIE that improve agreement with our data are presented. We also describe systematic uncertainties on these models, including uncertainties on multi-nucleon interactions from a newly developed procedure using NOvA near detector data., Comment: Code implementing adjustments to GENIE 2.12.2 described in this paper is available at https://github.com/novaexperiment/NOvARwgt-public

Published
2020
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2. Supernova neutrino detection in NOvA

Author

NOvA Collaboration, Acero, M. A., Adamson, P., Agam, G., Aliaga, L., Alion, T., Allakhverdian, V., Anfimov, N., Antoshkin, A., Arrieta-Diaz, E., Asquith, L., Aurisano, A., Back, A., Backhouse, C., Baird, M., Balashov, N., Baldi, P., Bambah, B. A., Bashar, S., Bays, K., Bending, S., Bernstein, R., Bhatnagar, V., Bhuyan, B., Bian, J., Blair, J., Booth, A. C., Bour, P., Bowles, R., Bromberg, C., Buchanan, N., Butkevich, A., Bychkov, V., Calvez, S., Carroll, T. J., Catano-Mur, E., Childress, S., Choudhary, B. C., Coan, T. E., Colo, M., Corwin, L., Cremonesi, L., Davies, G. S., Derwent, P. F., Ding, P., Djurcic, Z., Dolce, M., Doyle, D., Tonguino, D. Dueñas, Dukes, E. C., Dung, P., Duyang, H., Edayath, S., Ehrlich, R., Elkins, M., Feldman, G. J., Filip, P., Flanagan, W., Franc, J., Frank, M. J., Gallagher, H. R., Gandrajula, R., Gao, F., Germani, S., Giri, A., Gomes, R. A., Goodman, M. C., Grichine, V., Groh, M., Group, R., Guo, B., Habig, A., Hakl, F., Hall, A., Hartnell, J., Hatcher, R., Hatzikoutelis, A., Heller, K., Hewes, V, Himmel, A., Holin, A., Howard, B., Huang, J., Hylen, J., Jediny, F., Johnson, C., Judah, M., Kakorin, I., Kalra, D., Kaplan, D. M., Keloth, R., Klimov, O., Koerner, L. W., Kolupaeva, L., Kotelnikov, S., Kubu, M., Kullenberg, Ch., Kumar, A., Kuruppu, C. D., Kus, V., Lackey, T., Lang, K., Li, L., Lin, S., Lister, A., Lokajicek, M., Luchuk, S., Magill, S., Mann, W. A., Marshak, M. L., Martinez-Casales, M., Matveev, V., Mayes, B., Méndez, D. P., Messier, M. D., Meyer, H., Miao, T., Miller, W. H., Mishra, S. R., Mislivec, A., Mohanta, R., Moren, A., Morozova, A., Mualem, L., Muether, M., Mufson, S., Mulder, K., Murphy, R., Musser, J., Naples, D., Nayak, N., Nelson, J. K., Nichol, R., Nikseresht, G., Niner, E., Norman, A., Norrick, A., Nosek, T., Olshevskiy, A., Olson, T., Paley, J., Patterson, R. B., Pawloski, G., Petrova, O., Petti, R., Plunkett, R. K., Psihas, F., Rafique, A., Raj, V., Ramson, B., Rebel, B., Rojas, P., Ryabov, V., Samoylov, O., Sanchez, M. C., Falero, S. Sánchez, Seong, I. S., Shanahan, P., Sheshukov, A., Singh, P., Singh, V., Smith, E., Smolik, J., Snopok, P., Solomey, N., Sousa, A., Soustruznik, K., Strait, M., Suter, L., Sutton, A., Sweeney, C., Talaga, R. L., Oregui, B. Tapia, Tas, P., Thayyullathil, R. B., Thomas, J., Tiras, E., Torbunov, D., Tripathi, J., Tsaris, A., Torun, Y., Urheim, J., Vahle, P., Vallari, Z., Vasel, J., Vokac, P., Vrba, T., Wallbank, M., Warburton, T. K., Wetstein, M., Whittington, D., Wickremasinghe, D. A., Wojcicki, S. G., Wolcott, J., Dombara, A. Yallappa, Yonehara, K., Yu, S., Yu, Y., Zadorozhnyy, S., Zalesak, J., Zhang, Y., and Zwaska, R.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The NOvA long-baseline neutrino experiment uses a pair of large, segmented, liquid-scintillator calorimeters to study neutrino oscillations, using GeV-scale neutrinos from the Fermilab NuMI beam. These detectors are also sensitive to the flux of neutrinos which are emitted during a core-collapse supernova through inverse beta decay interactions on carbon at energies of $\mathcal{O}(10~\text{MeV})$. This signature provides a means to study the dominant mode of energy release for a core-collapse supernova occurring in our galaxy. We describe the data-driven software trigger system developed and employed by the NOvA experiment to identify and record neutrino data from nearby galactic supernovae. This technique has been used by NOvA to self-trigger on potential core-collapse supernovae in our galaxy, with an estimated sensitivity reaching out to 10~kpc distance while achieving a detection efficiency of 23\% to 49\% for supernovae from progenitor stars with masses of 9.6\~M$_\odot$ to 27\~M$_\odot$, respectively., Comment: 30 pages, 17 figures

Published
2020
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3. First measurement of neutrino oscillation parameters using neutrinos and antineutrinos by NOvA

Author

Acero, M. A., Adamson, P., Aliaga, L., Alion, T., Allakhverdian, V., Altakarli, S., Anfimov, N., Antoshkin, A., Aurisano, A., Back, A., Backhouse, C., Baird, M., Balashov, N., Baldi, P., Bambah, B. A., Bashar, S., Bays, K., Bending, S., Bernstein, R., Bhatnagar, V., Bhuyan, B., Bian, J., Blackburn, T., Blair, J., Booth, A. C., Bour, P., Bromberg, C., Buchanan, N., Butkevich, A., Calvez, S., Campbell, M., Carroll, T. J., Catano-Mur, E., Cedeno, A., Childress, S., Choudhary, B. C., Chowdhury, B., Coan, T. E., Colo, M., Cooper, J., Corwin, L., Cremonesi, L., Davies, G. S., Derwent, P. F., Ding, P., Djurcic, Z., Doyle, D., Dukes, E. C., Duyang, H., Edayath, S., Ehrlich, R., Elkins, M., Feldman, G. J., Filip, P., Flanagan, W., Frank, M. J., Gallagher, H. R., Gandrajula, R., Gao, F., Germani, S., Giri, A., Gomes, R. A., Goodman, M. C., Grichine, V., Groh, M., Group, R., Guo, B., Habig, A., Hakl, F., Hartnell, J., Hatcher, R., Hatzikoutelis, A., Heller, K., Hewes, V, Himmel, A., Holin, A., Howard, B., Huang, J., Hylen, J., Jediny, F., Johnson, C., Judah, M., Kakorin, I., Kalra, D., Kaplan, D. M., Keloth, R., Klimov, O., Koerner, L. W., Kolupaeva, L., Kotelnikov, S., Kreymer, A., Kulenberg, Ch., Kumar, A., Kuruppu, C. D., Kus, V., Lackey, T., Lang, K., Lin, S., Lokajicek, M., Lozier, J., Luchuk, S., Maan, K., Magill, S., Mann, W. A., Marshak, M. L., Martinez-Casales, M., Matveev, V., Mendez, D. P., Messier, M. D., Meyer, H., Miao, T., Miller, W. H., Mishra, S. R., Mislivec, A., Mohanta, R., Moren, A., Mualem, L., Muether, M., Mufson, S., Mulder, K., Murphy, R., Musser, J., Naples, D., Nayak, N., Nelson, J. K., Nichol, R., Nikseresht, G., Niner, E., Norman, A., Nosek, T., Olshevskiy, A., Olson, T., Paley, J., Patterson, R. B., Pawloski, G., Pershey, D., Petrova, O., Petti, R., Phan, D. D., Plunkett, R. K., Potukuchi, B., Principato, C., Psihas, F., Radovic, A., Raj, V., Rameika, R. A., Rebel, B., Rojas, P., Ryabov, V., Samoylov, O., Sanchez, M. C., Falero, S. Sanchez, Seong, I. S., Shanahan, P., Sheshukov, A., Singh, P., Singh, V., Smith, E., Smolik, J., Snopok, P., Solomey, N., Song, E., Sousa, A., Soustruznik, K., Strait, M., Suter, L., Sutton, A., Talaga, R. L., Oregui, B. Tapia, Tas, P., Thayyullathil, R. B., Thomas, J., Tiras, E., Torbunov, D., Tripathi, J., Tsaris, A., Torun, Y., Urheim, J., Vahle, P., Vasel, J., Vinton, L., Vokac, P., Vrba, T., Wallbank, M., Wang, B., Warburton, T. K., Wetstein, M., While, M., Whittington, D., Wojcicki, S. G., Wolcott, J., Yadav, N., Dombara, A. Yallappa, Yonehara, K., Yu, S., Zadorozhnyy, S., Zalesak, J., Zamorano, B., and Zwaska, R.

Subjects
High Energy Physics - Experiment
Abstract

The NOvA experiment has made a $4.4\sigma$-significant observation of $\bar\nu_{e}$ appearance in a 2 GeV $\bar\nu_{\mu}$ beam at a distance of 810 km. Using $12.33\times10^{20}$ protons on target delivered to the Fermilab NuMI neutrino beamline, the experiment recorded 27 $\bar\nu_{\mu} \rightarrow \bar\nu_{e}$ candidates with a background of 10.3 and 102 $\bar\nu_{\mu} \rightarrow \bar\nu_{\mu}$ candidates. This new antineutrino data is combined with neutrino data to measure the oscillation parameters $|\Delta m^2_{32}| = 2.48^{+0.11}_{-0.06}\times10^{-3}$ eV$^2/c^4$, $\sin^2 \theta_{23} = 0.56^{+0.04}_{-0.03}$ in the normal neutrino mass hierarchy and upper octant and excludes most values near $\delta_{\rm CP}=\pi/2$ for the inverted mass hierarchy by more than 3$\sigma$. The data favor the normal neutrino mass hierarchy by 1.9$\sigma$ and $\theta_{23}$ values in the upper octant by 1.6$\sigma$., Comment: 8 pages, 3 figures. Supplementary material attached (6 figures). To view attachments, please download and extract the gzipped tar source file listed under "Other formats". Fixed supplementary material to include just the compiled pdf not the Latex Source

Published
2019
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4. Observation of seasonal variation of atmospheric multiple-muon events in the NOvA Near Detector

Author

Acero, M. A., Adamson, P., Aliaga, L., Alion, T., Allakhverdian, V., Altakarli, S., Anmov, N., Antoshkin, A., Aurisano, A., Back, A., Backhouse, C., Baird, M., Balashov, N., Baldi, P., Bambah, B. A., Bashar, S., Bays, K., Bending, S., Bernstein, R., Bhatnagar, V., Bhuyan, B., Bian, J., Blair, J., Booth, A. C., Bour, P., Bromberg, C., Buchanan, N., Butkevich, A., Calvez, S., Campbell, M., Carroll, T. J., Catano-Mur, E., Cedeno, A., Childress, S., Choudhary, B. C., Chowdhury, B., Coan, T. E., Colo, M., Corwin, L., Cremonesi, L., Davies, G. S., Derwent, P. F., Ding, P., Djurcic, Z., Doyle, D., Dukes, E. C., Duyang, H., Edayath, S., Ehrlich, R., Feldman, G. J., Filip, P., Flanagan, W., Frank, M. J., Gallagher, H. R., Gandrajula, R., Gao, F., Germani, S., Giri, A., Gomes, R. A., Goodman, M. C., Grichine, V., Groh, M., Group, R., Guo, B., Habig, A., Hakl, F., Hartnell, J., Hatcher, R., Hatzikoutelis, A., Heller, K., Hewes, V, Himmel, A., Holin, A., Howard, B., Huang, J., Hylen, J., Jediny, F., Johnson, C., Judah, M., Kakorin, I., Kalra, D., Kaplan, D. M., Keloth, R., Klimov, O., Koerner, L. W., Kolupaeva, L., Kotelnikov, S., Kreymer, A., Kulenberg, Ch., Kumar, A., Kuruppu, C. D., Kus, V., Lackey, T., Lang, K., Lin, S., Lokajicek, M., Lozier, J., Luchuk, S., Magill, S., Mann, W. A., Marshak, M. L., Matveev, V., Mendez, D. P., Messier, M. D., Meyer, H., Miao, T., Miller, W. H., Mishra, S. R., Mislivec, A., Mohanta, R., Moren, A., Mualem, L., Muether, M., Mufson, S., Mulder, K., Murphy, R., Musser, J., Naples, D., Nayak, N., Nelson, J. K., Nichol, R., Nikseresht, G., Niner, E., Norman, A., Nosek, T., Olshevskiy, A., Olson, T., Paley, J., Patterson, R. B., Pawloski, G., Petrova, O., Petti, R., Phan, D. D., Plunkett, R. K., Potukuchi, B., Principato, C., Psihas, F., Raj, V., Rameika, R. A., Rebel, B., Rojas, P., Ryabov, V., Samoylov, O., Sanchez, M. C., Schreiner, P., Seong, I. S., Shanahan, P., Sheshukov, A., Singh, P., Singh, V., Smith, E., Smolik, J., Snopok, P., Solomey, N., Song, E., Sousa, A., Soustruznik, K., Strait, M., Suter, L., Sutton, A., Talaga, R. L., Tas, P., Thayyullathil, R. B., Thomas, J., Tiras, E., Tognini, S. C., Torbunov, D., Tripathi, J., Tsaris, A., Torun, Y., Urheim, J., Vahle, P., Vasel, J., Vinton, L., Vokac, P., Vrba, T., Wallbank, M., Wang, B., Warburton, T. K., Wetstein, M., While, M., Whittington, D., Wojcicki, S. G., Wolcott, J., Yadav, N., Dombara, A. Yallappa, Yonehara, K., Yu, S., Zadorozhnyy, S., Zalesak, J., and Zwaska, R.

Subjects
Physics - Instrumentation and Detectors, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Using two years of data from the NOvA Near Detector at Fermilab, we report a seasonal variation of cosmic ray induced multiple-muon event rates which has an opposite phase to the seasonal variation in the atmospheric temperature. The strength of the seasonal multipl$ increase as a function of the muon multiplicity. However, no significant dependence of the strength of the seasonal variation of the multiple-muon variation is seen as a function of the muon zenith angle, or the spatial or angular separation between the correlated muons.

Published
2019
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5. Adjusting neutrino interaction models and evaluating uncertainties using NOvA near detector data

Author

Acero, M. A., Adamson, P., Agam, G., Aliaga, L., Alion, T., Allakhverdian, V., Anfimov, N., Antoshkin, A., Asquith, L., Aurisano, A., Back, A., Backhouse, C., Baird, M., Balashov, N., Baldi, P., Bambah, B. A., Bashar, S., Bays, K., Bending, S., Bernstein, R., Bhatnagar, V., Bhuyan, B., Bian, J., Blair, J., Booth, A. C., Bour, P., Bowles, R., Bromberg, C., Buchanan, N., Butkevich, A., Calvez, S., Carroll, T. J., Catano-Mur, E., Childress, S., Choudhary, B. C., Coan, T. E., Colo, M., Corwin, L., Cremonesi, L., Davies, G. S., Derwent, P. F., Ding, P., Djurcic, Z., Doyle, D., Dukes, E. C., Dung, P., Duyang, H., Edayath, S., Ehrlich, R., Elkins, M., Feldman, G. J., Filip, P., Flanagan, W., Franc, J., Frank, M. J., Gallagher, H. R., Gandrajula, R., Gao, F., Germani, S., Giri, A., Gomes, R. A., Goodman, M. C., Grichine, V., Groh, M., Group, R., Guo, B., Habig, A., Hakl, F., Hartnell, J., Hatcher, R., Hatzikoutelis, A., Heller, K., Hewes, J., Himmel, A., Holin, A., Howard, B., Huang, J., Hylen, J., Jediny, F., Johnson, C., Judah, M., Kakorin, I., Kalra, D., Kaplan, D. M., Keloth, R., Klimov, O., Koerner, L. W., Kolupaeva, L., Kotelnikov, S., Kullenberg, Ch., Kumar, A., Kuruppu, C. D., Kus, V., Lackey, T., Lang, K., Li, L., Lin, S., Lokajicek, M., Luchuk, S., Maan, K., Magill, S., Mann, W. A., Marshak, M. L., Martinez-Casales, M., Matveev, V., Mayes, B., Méndez, D. P., Messier, M. D., Meyer, H., Miao, T., Miller, W. H., Mishra, S. R., Mislivec, A., Mohanta, R., Moren, A., Morozova, A., Mualem, L., Muether, M., Mufson, S., Mulder, K., Murphy, R., Musser, J., Naples, D., Nayak, N., Nelson, J. K., Nichol, R., Nikseresht, G., Niner, E., Norman, A., Norrick, A., Nosek, T., Olshevskiy, A., Olson, T., Paley, J., Patterson, R. B., Pawloski, G., Petrova, O., Petti, R., Plunkett, R. K., Rafique, A., Psihas, F., Radovic, A., Raj, V., Ramson, B., Rebel, B., Rojas, P., Ryabov, V., Samoylov, O., Sanchez, M. C., Falero, S. Sánchez, Seong, I. S., Shanahan, P., Sheshukov, A., Singh, P., Singh, V., Smith, E., Smolik, J., Snopok, P., Solomey, N., Sousa, A., Soustruznik, K., Strait, M., Suter, L., Sutton, A., Sweeney, C., Talaga, R. L., Oregui, B. Tapia, Tas, P., Thayyullathil, R. B., Thomas, J., Tiras, E., Torbunov, D., Tripathi, J., Torun, Y., Urheim, J., Vahle, P., Vallari, Z., Vasel, J., Vokac, P., Vrba, T., Wallbank, M., Warburton, T. K., Wetstein, M., Whittington, D., Wojcicki, S. G., Wolcott, J., Dombara, A. Yallappa, Yonehara, K., Yu, S., Yu, Y., Zadorozhnyy, S., Zalesak, J., Zhang, Y., and Zwaska, R.

Published
2020
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6. Measurement of νμ charged-current inclusive π0 production in the NOvA near detector

Author

Acero, M. A., Adamson, P., Agam, G., Aliaga, L., Alion, T., Allakhverdian, V., Altakarli, S., Anfimov, N., Antoshkin, A., Asquith, L., Arrieta-Diaz, E., Aurisano, A., Back, A., Baird, M., Balashov, N., Baldi, P., Bambah, B. A., Bashar, S., Bays, K., Bending, S., Bernstein, R., Bhatnagar, V., Bhuyan, B., Bian, J., Blair, J., Booth, A. C., Bour, P., Bromberg, C., Buchanan, N., Butkevich, A., Calvez, S., Campbell, M., Carroll, T. J., Catano-Mur, E., Childress, S., Choudhary, B. C., Chowdhury, B., Coan, T. E., Colo, M., Corwin, L., Cremonesi, L., Davies, G. S., Derwent, P. F., Dharmapalan, R., Ding, P., Djurcic, Z., Dolce, M., Doyle, D., Dukes, E. C., Dueñas Tonguino, D., Dung, P., Duyang, H., Edayath, S., Ehrlich, R., Feldman, G. J., Filip, P., Flanagan, W., Frank, M. J., Gallagher, H. R., Gandrajula, R., Gao, F., Germani, S., Giri, A., Gomes, R. A., Goodman, M. C., Grichine, V., Groh, M., Group, R., Guo, B., Habig, A., Hakl, F., Hall, A., Hartnell, J., Hatcher, R., Hatzikoutelis, A., Heller, K., Hewes, V., Himmel, A., Holin, A., Howard, B., Huang, J., Hylen, J., Jediny, F., Johnson, C., Judah, M., Kakorin, I., Kalra, D., Kaplan, D. M., Keloth, R., Klimov, O., Koerner, L. W., Kolupaeva, L., Kotelnikov, S., Kreymer, A., Kubu, M., Kullenberg, Ch., Kumar, A., Kuruppu, C. D., Kus, V., Lackey, T., Lang, K., Li, L., Lin, S., Lister, A., Lokajicek, M., Luchuk, S., Maan, K., Magill, S., Mann, W. A., Marshak, M. L., Martinez-Casales, M., Matveev, V., Mayes, B., Méndez, D. P., Messier, M. D., Meyer, H., Miao, T., Miller, W. H., Mishra, S. R., Mislivec, A., Mohanta, R., Moren, A., Mualem, L., Muether, M., Mufson, S., Mulder, K., Murphy, R., Musser, J., Naples, D., Nayak, N., Nelson, J. K., Nichol, R., Nikseresht, G., Niner, E., Norman, A., Norrick, A., Nosek, T., Olshevskiy, A., Olson, T., Paley, J., Patterson, R. B., Pawloski, G., Pershey, D., Petrova, O., Petti, R., Phan, D. D., Phan-Budd, S., Plunkett, R. K., Potukuchi, B., Principato, C., Psihas, F., Radovic, A., Rafique, A., Raj, V., Rameika, R. A., Rebel, B., Rojas, P., Ryabov, V., Samoylov, O., Sanchez, M. C., Sánchez Falero, S., Seong, I. S., Shanahan, P., Sheshukov, A., Singh, P., Singh, V., Smith, E., Smolik, J., Snopok, P., Solomey, N., Song, E., Sousa, A., Soustruznik, K., Strait, M., Suter, L., Sutton, A., Talaga, R. L., Tapia Oregui, B., Tas, P., Thayyullathil, R. B., Thomas, J., Tiras, E., Torbunov, D., Tripathi, J., Tsaris, A., Torun, Y., Urheim, J., Vahle, P., Vasel, J., Vokac, P., Vrba, T., Wallbank, M., Warburton, T. K., Wetstein, M., While, M., Whittington, D., Wickremasinghe, D. A., Wojcicki, S. G., Wolcott, J., Yallappa Dombara, A., Yonehara, K., Yu, S., Yu, Y., Zadorozhnyy, S., Zalesak, J., Zhang, Y., and Zwaska, R.

Abstract

Cross sections for the interaction νμA→μ−π0X with neutrino energies between 1 and 5 GeV are measured using a sample of 165,000 selected events collected in the NOvA experiment’s near detector, a hydrocarbon-based detector exposed to the Neutrinos from the Main Injector beam at the Fermi National Accelerator Laboratory. Results are presented as a flux-averaged total cross section and as differential cross sections in the momenta and angles of the outgoing muon and π0, the total four-momentum transfer, and the invariant mass of the hadronic system. Comparisons are made with predictions from a reference version of the genie neutrino interaction generator. The measured total cross section of (3.57±0.44)×10−39 cm2 is 7.5% higher than the genie prediction, but is consistent within experimental errors.

Published
2023

7. Supernova neutrino detection in NOvA

Author

Acero, M.A., primary, Adamson, P., additional, Agam, G., additional, Aliaga, L., additional, Alion, T., additional, Allakhverdian, V., additional, Anfimov, N., additional, Antoshkin, A., additional, Arrieta-Diaz, E., additional, Asquith, L., additional, Aurisano, A., additional, Back, A., additional, Backhouse, C., additional, Baird, M., additional, Balashov, N., additional, Baldi, P., additional, Bambah, B.A., additional, Bashar, S., additional, Bays, K., additional, Bending, S., additional, Bernstein, R., additional, Bhatnagar, V., additional, Bhuyan, B., additional, Bian, J., additional, Blair, J., additional, Booth, A.C., additional, Bour, P., additional, Bowles, R., additional, Bromberg, C., additional, Buchanan, N., additional, Butkevich, A., additional, Bychkov, V., additional, Calvez, S., additional, Carroll, T.J., additional, Catano-Mur, E., additional, Childress, S., additional, Choudhary, B.C., additional, Coan, T. E., additional, Colo, M., additional, Corwin, L., additional, Cremonesi, L., additional, Davies, G.S., additional, Derwent, P.F., additional, Ding, P., additional, Djurcic, Z., additional, Dolce, M., additional, Doyle, D., additional, Tonguino, D. Dueñas, additional, Dukes, E.C., additional, Dung, P., additional, Duyang, H., additional, Edayath, S., additional, Ehrlich, R., additional, Elkins, M., additional, Feldman, G.J., additional, Filip, P., additional, Flanagan, W., additional, Franc, J., additional, Frank, M.J., additional, Gallagher, H.R., additional, Gandrajula, R., additional, Gao, F., additional, Germani, S., additional, Giri, A., additional, Gomes, R.A., additional, Goodman, M.C., additional, Grichine, V., additional, Groh, M., additional, Group, R., additional, Guo, B., additional, Habig, A., additional, Hakl, F., additional, Hall, A., additional, Hartnell, J., additional, Hatcher, R., additional, Hatzikoutelis, A., additional, Heller, K., additional, Hewes, J., additional, Himmel, A., additional, Holin, A., additional, Howard, B., additional, Huang, J., additional, Hylen, J., additional, Jediny, F., additional, Johnson, C., additional, Judah, M., additional, Kakorin, I., additional, Kalra, D., additional, Kaplan, D. M., additional, Keloth, R., additional, Klimov, O., additional, Koerner, L.W., additional, Kolupaeva, L., additional, Kotelnikov, S., additional, Kubu, M., additional, Kullenberg, Ch., additional, Kumar, A., additional, Kuruppu, C.D., additional, Kus, V., additional, Lackey, T., additional, Lang, K., additional, Li, L., additional, Lin, S., additional, Lister, A., additional, Lokajicek, M., additional, Luchuk, S., additional, Magill, S., additional, Mann, W.A., additional, Marshak, M.L., additional, Martinez-Casales, M., additional, Matveev, V., additional, Mayes, B., additional, Méndez, D.P., additional, Messier, M.D., additional, Meyer, H., additional, Miao, T., additional, Miller, W.H., additional, Mishra, S.R., additional, Mislivec, A., additional, Mohanta, R., additional, Moren, A., additional, Morozova, A., additional, Mualem, L., additional, Muether, M., additional, Mufson, S., additional, Mulder, K., additional, Murphy, R., additional, Musser, J., additional, Naples, D., additional, Nayak, N., additional, Nelson, J.K., additional, Nichol, R., additional, Nikseresht, G., additional, Niner, E., additional, Norman, A., additional, Norrick, A., additional, Nosek, T., additional, Olshevskiy, A., additional, Olson, T., additional, Paley, J., additional, Patterson, R.B., additional, Pawloski, G., additional, Petrova, O., additional, Petti, R., additional, Plunkett, R.K., additional, Psihas, F., additional, Rafique, A., additional, Raj, V., additional, Ramson, B., additional, Rebel, B., additional, Rojas, P., additional, Ryabov, V., additional, Samoylov, O., additional, Sanchez, M.C., additional, Falero, S. Sánchez, additional, Seong, I. S., additional, Shanahan, P., additional, Sheshukov, A., additional, Singh, P., additional, Singh, V., additional, Smith, E., additional, Smolik, J., additional, Snopok, P., additional, Solomey, N., additional, Sousa, A., additional, Soustruznik, K., additional, Strait, M., additional, Suter, L., additional, Sutton, A., additional, Sweeney, C., additional, Talaga, R. L., additional, Oregui, B. Tapia, additional, Tas, P., additional, Thayyullathil, R.B., additional, Thomas, J., additional, Tiras, E., additional, Torbunov, D., additional, Tripathi, J., additional, Tsaris, A., additional, Torun, Y., additional, Urheim, J., additional, Vahle, P., additional, Vallari, Z., additional, Vasel, J., additional, Vokac, P., additional, Vrba, T., additional, Wallbank, M., additional, Warburton, T. K., additional, Wetstein, M., additional, Whittington, D., additional, Wickremasinghe, D.A., additional, Wojcicki, S.G., additional, Wolcott, J., additional, Dombara, A. Yallappa, additional, Yonehara, K., additional, Yu, S., additional, Yu, Y., additional, Zadorozhnyy, S., additional, Zalesak, J., additional, Zhang, Y., additional, and Zwaska, R., additional

Published
2020
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8. MuscleX: data analysis software for fiber diffraction patterns from muscle.

Author

Jiratrakanvong J, Shao J, Li J, Menendez Alvarez M, Li X, Das P, Nikseresht G, Miskin N, Huo R, Nabon J, Leduc T, Zhang E, Ma W, Agam G, and Irving TC

Abstract

MuscleX is an integrated, open-source computer software suite for data reduction of X-ray fiber diffraction patterns from striated muscle and other fibrous systems. It is written in Python and runs on Linux, Microsoft Windows or macOS. Most modules can be run either from a graphical user interface or in a `headless mode' from the command line, suitable for incorporation into beamline control systems. Here, we provide an overview of the general structure of the MuscleX software package and describe the specific features of the individual modules as well as examples of applications., (open access.)

Published
2024
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9. Neuropathologic correlates of cerebral microbleeds in community-based older adults.

Author

Nikseresht G, Evia AM, Nag S, Leurgans SE, Capuano AW, Agam G, Barnes LL, Bennett DA, Schneider JA, and Arfanakis K

Subjects
Humans, Aged, Cerebral Hemorrhage diagnostic imaging, Cerebral Hemorrhage complications, Aging, Magnetic Resonance Imaging methods, Cerebral Amyloid Angiopathy diagnostic imaging, Cognitive Dysfunction etiology, Cognitive Dysfunction complications, Alzheimer Disease diagnosis
Abstract

Cerebral microbleeds (CMBs) appearing as hypointense foci on T 2 *-weighted magnetic resonance images are small hemorrhages that have been linked to cognitive decline and increased mortality. However, the neuropathologic correlates of CMBs in community-based older adults are poorly understood. The present study investigated the association of age-related neuropathologies with CMBs in community-based older adults. Cerebral hemispheres from 289 participants of the Rush Memory and Aging Project, Religious Orders Study, Minority Aging Research Study, and Rush Alzheimer's Disease Clinical Core underwent ex vivo MRI and detailed neuropathologic examination. Following Bonferroni correction, CMBs in the cerebrum overall and in the frontal lobe were associated with cerebral amyloid angiopathy, CMBs in the frontal lobe were also associated with arteriolosclerosis, and CMBs in the basal ganglia showed a borderline significant association with microinfarcts. These findings suggest that CMBs can aid in the prediction of small vessel disease in community-based older adults. Finally, CMBs were not associated with dementia, suggesting that CMBs in community-based older adults may not be linked to substantial cognitive impairment., Competing Interests: Disclosure Statement The authors have no financial interests or relationships to disclose with regard to the subject matter of this manuscript., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Published
2023
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