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1. Recubrimientos protectores de TiN y AIN: comportamiento frente a temperatura

Author: Auger, M. A., Sánchez, O., and Albella, J. M.
Subjects: TiN, AlN, reactive sputtering, protective coatings, thermal resistance, sputtering reactivo, recubrimientos protectors, resistencia térmica, Clay industries. Ceramics. Glass, TP785-869
Abstract: The use of ceramic materials like titanium and aluminium nitrides have experienced a great improvement in the last years due to the variety of applications they show. The use as protective coatings on industrial tools is one important application with very favorable results for the moment, as it is the use as coating molds used for different elements fabrication. One of the mostly often used techniques to deposit protective coatings is the sputtering technique, which has been used in this work. In the present study we have analysed structural and mechanical properties of TiN and AlN thin films, using X-Ray diffraction, scanning electron microscopy, nanoindentation and pin-on-disk techniques. Thermal treatments have been applied on the mentioned films, applying three different temperature values: 750oC, 850oC y 950oC. Changes in their properties before and after the treatments have been observed. TiN layers show a thermal resistance around 750oC. The thermal resistance for AlN layers is around 850oC, being also observed an improvement in their properties when applying 850ºC of thermal treatment.La utilización de materiales cerámicos como el nitruro de titanio o de aluminio ha experimentado una gran popularización en los últimos años gracias a su gran variedad de aplicaciones. Una importante aplicación que cuenta hasta el momento con resultados muy favorables es la de su uso como recubrimientos protectores de herramientas industriales, así como de moldes empleados en la fabricación de diferentes elementos. Una de las técnicas más utilizadas en la obtención de recubrimientos protectores es la técnica de sputtering, utilizada en este trabajo. En el presente estudio se han analizado las propiedades estructurales y mecánicas de láminas delgadas de TiN y AlN mediante las técnicas de difracción de rayos X, microscopía electrónica de barrido, nanoindentación y pin-on-disk. Dichas capas han sido sometidas a un tratamiento térmico en el que se han aplicado tres temperaturas: 750oC, 850oC y 950oC, y se han observado variaciones en sus propiedades antes y después del tratamiento. Las capas de TiN presentan una resistencia térmica en torno a 750oC. Las capas de AlN resisten hasta una temperatura en torno a 850oC, observándose además una mejoría en sus propiedades al ser sometidas a dicha temperatura de 850oC.
Published: 2006

2. Gravitationally lensed quasars in Gaia -- IV. 150 new lenses, quasar pairs, and projected quasars

Author: Lemon, C., Anguita, T., Auger, M., Courbin, F., Galan, A., McMahon, R., Neira, F., Oguri, M., Schechter, P., Shajib, A., and Treu, T.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We report the spectroscopic follow-up of 175 lensed quasar candidates selected using Gaia Data Release 2 observations following Lemon et al. 2019. Systems include 86 confirmed lensed quasars and a further 17 likely lensed quasars based on imaging and/or similar spectra. We also confirm 11 projected quasar pairs and 11 physical quasar pairs, while 25 systems are left as unclassified quasar pairs -- pairs of quasars at the same redshift, which could be either distinct quasars or potential lensed quasars. Especially interesting objects include 8 quadruply imaged quasars of which two have BAL sources, an apparent triple, and a doubly lensed LoBaL quasar. The source redshifts and image separations of these new lenses range between 0.65 - 3.59 and 0.78 - 6.23 arcseconds respectively. We compare the known population of lensed quasars to an updated mock catalogue at image separations between 1 and 4 arcseconds, showing a very good match at z<1.5. At z>1.5, only 47% of the predicted number are known, with 56% of these missing lenses at image separations below 1.5 arcseconds. The missing higher-redshift, small-separation systems will have fainter lensing galaxies, and are partially explained by the unclassified quasar pairs and likely lenses presented in this work, which require deeper imaging. Of the 11 new reported projected quasar pairs, 5 have impact parameters below 10 kpc, almost tripling the number of such systems, which can probe the innermost regions of quasar host galaxies through absorption studies. We also report four new lensed galaxies discovered through our searches, with source redshifts ranging from 0.62 to 2.79., Comment: 30 pages, 19 figures, submitted to MNRAS
Published: 2022
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3. Depósito de TiN sobre herramientas de corte para uso industrial

Author: Auger, M. A., Sánchez, O., and Albella, J. M.
Subjects: Reactive magnetron sputtering, TiN, mechanical properties, hardness, Sputtering magnetrón reactivo, propiedades mecánicas, dureza, Clay industries. Ceramics. Glass, TP785-869
Abstract: TiN coatings on stainless steel blades for glass fibre cutting have been investigated in this work. The aim was to improve their mechanical properties and increase the tool time life, decreasing in this way the production stops. Reactive magnetron sputtering has been the deposition technique. TiN films chemical composition has been determined by AES (Auger Electron Spectroscopy), RBS (Rutherford Backscattering Spectroscopy) and XANES (X-Ray Spectroscopy Near the Absorption Edge), and it has been correlated to the gas mixture composition in the vacuum chamber. Crystalline structure has been determined by X-Ray Diffraction, and the films morphology has been observed by SEM (Scanning Electron Microscopy). The hardness coating has been extracted from nanoindentation measurements, giving a 21.54±1.04 GPa hardness value, typical for TiN in the literature. Factory proofs for coated cutting blades show a 67% lifetime increase.En este trabajo se han estudiado láminas de TiN crecidas sobre cuchillas de acero inoxidable empleadas en el corte de fibra de vidrio, para mejorar sus propiedades mecánicas y aumentar el tiempo de vida de la herramienta, reduciendo de este modo las paradas de producción. La técnica de depósito utilizada ha sido la de sputtering magnetrón reactivo. La composición química de las capas de TiN ha sido determinada mediante medidas de Espectroscopía Auger, RBS (Rutherford Backscattering Spectroscopy) y XANES (X-Ray Spectroscopy Near the Absorption Edge) y se ha relacionado con la composición de la mezcla gaseosa presente en la cámara de reacción. La estructura cristalina se ha determinado mediante Difracción de Rayos X, y mediante la técnica de SEM (Scanning Electron Microscopy) se ha observado la morfología de las capas. La dureza del recubrimiento se ha calculado a partir de medidas de nanoindentación, obteniéndose un valor de 21.54±1.04 GPa, típico en la literatura para el TiN. Los resultados de la prueba en fábrica de las cuchillas recubiertas muestran un aumento en su tiempo de vida de hasta un 67%.
Published: 2004

4. The inner density profile of an elliptical galaxy at z=1.15 from gravitational lensing

Author: Stacey, H. R., O'Riordan, C. M., Vegetti, S., Powell, D. M., Auger, M. W., and Despali, G.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: The density profiles of lensing galaxies are typically parameterised by singular power-law models with a logarithmic slope close to isothermal ($\zeta=2$). This is sufficient to fit the lensed emission near the Einstein radius but may not be sufficient when extrapolated to smaller or larger radii if the large-scale density profile is more complex. Here, we consider a broken power-law model for the density profile of an elliptical galaxy at $z=1.15$ using observations with the Atacama Large (sub-)Millimetre Array of the strong gravitational lens system SPT0532$-$50. This is the first application of such a model to real data. We find the lensed emission is best fit by a density profile that is sub-isothermal ($\zeta = 1.87^{+0.02}_{-0.03}$) near the Einstein radius and steepens to super-isothermal ($\zeta = 2.14^{+0.03}_{-0.02}$) at around half the Einstein radius, demonstrating that the lensing data probes the mass distribution inside the region probed by the lensed images. Assuming that a broken power-law is the underlying truth, we find that a single power-law would result in a $10\pm1$ percent underestimate of the Hubble constant from time-delay cosmography. Our results suggest that a broken power-law could be useful for precision lens modelling and probing the structural evolution of elliptical galaxies., Comment: Withdrawn pending further testing
Published: 2021

5. J1721$+$8842: a gravitationally lensed binary quasar with a proximate damped Lyman-$\alpha$ absorber

Author: Lemon, C., Millon, M., Sluse, D., Courbin, F., Auger, M., Chan, J., Paic, E., and Agnello, A.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: High-redshift binary quasars provide key insights into mergers and quasar activity, and are useful tools for probing the spatial kinematics and chemistry of galaxies along the line-of-sight. However, only three sub-10-kpc binaries have been confirmed above $z=1$. Gravitational lensing would provide a way to easily resolve such binaries, study them in higher resolution, and provide more sightlines, though the required alignment with a massive foreground galaxy is rare. Through image deconvolution of StanCam Nordic Optical Telescope (NOT) monitoring data, we reveal two further point sources in the known, $z \approx 2.38$, quadruply lensed quasar (quad), J1721+8842. An ALFOSC/NOT long-slit spectrum shows that the brighter of these two sources is a quasar with $z = 2.369 \pm 0.007$ based on the C III] line, while the C III] redshift of the quad is $z = 2.364 \pm 0.003$. Lens modelling using point source positions rules out a single source model, favouring an isothermal lens mass profile with two quasar sources separated by $\sim6.0$ kpc (0.73$^{\prime \prime}$) in projection. Given the resolving ability from lensing and current lensed quasar statistics, this discovery suggests a large population of undiscovered, unlensed sub-10-kpc binaries. We also analyse spectra of two images of the quad, showing narrow Ly$\alpha$ emission within the trough of a proximate damped Ly$\alpha$ absorber (PDLA). An apparent mismatch between the continuum and narrow line flux ratios provides a new potential tool for simultaneously studying microlensing and the quasar host galaxy. Signs of the PDLA are also seen in the second source, however a deeper spectrum is still required to confirm this. Thanks to the multiple lines-of-sight from lensing and two quasar sources, this system offers simultaneous sub-parsec and kpc-scale probes of a PDLA., Comment: 10 pages, 7 figures, submitted to A&A
Published: 2021
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6. The EXO-200 detector, part II: Auxiliary Systems

Author: Ackerman, N., Albert, J., Auger, M., Auty, D. J., Badhrees, I., Barbeau, P. S., Bartoszek, L., Baussan, E., Belov, V., Benitez-Medina, C., Bhatta, T., Breidenbach, M., Brunner, T., Cao, G. F., Cen, W. R., Chambers, C., Cleveland, B., Conley, R., Cook, S., Coon, M., Craddock, W., Craycraft, A., Cree, W., Daniels, T., Darroch, L., Daugherty, S. J., Daughhetee, J., Davis, C. G., Davis, J., Delaquis, S., Der Mesrobian-Kabakian, A., deVoe, R., Didberidze, T., Dilling, J., Dobi, A., Dolgolenko, A. G., Dolinski, M. J., Dunford, M., Echevers, J., Espic, L., Fairbank Jr., W., Fairbank, D., Farine, J., Feldmeier, W., Feyzbakhsh, S., Fierlinger, P., Fouts, K., Franco, D., Freytag, D., Fudenberg, D., Gautam, P., Giroux, G., Gornea, R., Graham, K., Gratta, G., Hagemann, C., Hall, C., Hall, K., Haller, G., Hansen, E. V., Hargrove, C., Herbst, R., Herrin, S., Hodgson, J., Hughes, M., Iverson, A., Jamil, A., Jessiman, C., Jewell, M. J., Johnson, A., Johnson, T. N., Johnston, S., Karelin, A., Kaufman, L. J., Killick, R., Koffas, T., Kravitz, S., Krücken, R., Kuchenkov, A., Kumar, K. S., Lan, Y., Larson, A., Leonard, D. S., Leonard, F., LePort, F., Li, G. S., Li, S., Li, Z., Licciardi, C., Lin, Y. H., Mackay, D., MacLellan, R., Marino, M., Martin, J. -M., Martin, Y., McElroy, T., McFarlane, K., Michel, T., Mong, B., Moore, D. C., Murray, K., Neilson, R., Njoya, O., Nusair, O., O'Sullivan, K., Odian, A., Ostrovskiy, I., Ouellet, C., Piepke, A., Pocar, A., Prescott, C. Y., Pushkin, K., Retiere, F., Rivas, A., Robinson, A. L., Rollin, E., Rowson, P. C., Rozo, M. P., Runge, J., Russell, J. J., Schmidt, S., Schubert, A., Sinclair, D., Skarpaas, K., Slutsky, S., Smith, E., Soma, A. K., Stekhanov, V., Strickland, V., Swift, M., Tarka, M., Todd, J., Tolba, T., Tosi, D., Totev, T. I., Tsang, R., Twelker, K., Veenstra, B., Veeraraghavan, V., Vuilleumier, J. -L., Vuilleumier, J. -M., Wagenpfeil, M., Waite, A., Walton, J., Walton, T., Wamba, K., Watkins, J., Weber, M., Wen, L. J., Wichoski, U., Wittgen, M., Wodin, J., Wood, J., Wrede, G., Wu, S. X., Xia, Q., Yang, L., Yen, Y. -R., Zeldovich, O. Ya, and Ziegler, T.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment
Abstract: The EXO-200 experiment searched for neutrinoless double-beta decay of $^{136}$Xe with a single-phase liquid xenon detector. It used an active mass of 110 kg of 80.6%-enriched liquid xenon in an ultra-low background time projection chamber with ionization and scintillation detection and readout. This paper describes the design and performance of the various support systems necessary for detector operation, including cryogenics, xenon handling, and controls. Novel features of the system were driven by the need to protect the thin-walled detector chamber containing the liquid xenon, to achieve high chemical purity of the Xe, and to maintain thermal uniformity across the detector., Comment: Manuscript updated in response to JINST reviewer comments
Published: 2021
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7. Study of scintillation light collection, production and propagation in a 4 tonne dual-phase LArTPC

Author: Aimard, B., Aizawa, L., Alt, C., Asaadi, J., Auger, M., Aushev, V., Autiero, D., Balaceanu, A., Balik, G., Balleyguier, L., Bechetoille, E., Belver, D., Blebea-Apostu, A. M., Bolognesi, S., Bordoni, S., Bourgeois, N., Bourguille, B., Bremer, J., Brown, G., Brunetti, G., Brunetti, L., Caiulo, D., Calin, M., Calvo, E., Campanelli, M., Cankocak, K., Cantini, C., Carlus, B., Cautisanu, B. M., Chalifour, M., Chappuis, A., Charitonidis, N., Chatterjee, A., Chiriacescuf, A., Chiu, P., Conforti, S., Cotte, P., Crivelli, P., Cuesta, C., Dawson, J., De Bonis, I., De La Taille, C., Delbart, A., Di Luise, S., Doizon, F., Drancourt, C., Duchesneau, D., Dulucq, F., Duval, F., Emery, S., Ereditato, A., Falcone, A., Fusshoeller, K., Gallego-Ros, A., Galymov, V., Geffroy, N., Gendotti, A., Gherghel-Lascu, A., Gil-Botella, I., Girerd, C., Gomoiu, M. C., Gorodetzky, P., Hamada, E., Hanni, R., Hasegawa, T., Holin, A., Horikawa, S., Ikeno, M., Jiménez, S., Jipa, A., Karolak, M., Karyotakis, Y., Kasai, S., Kasami, K., Kishishita, T., Konari, H., Kreslo, I., Kryn, D., Kunzé, P., Kurokawa, M., Kuromori, Y., Lastoria, C., Lazanu, I., Lehmann-Miotto, G., Leyton, M., Lira, N., Loo, K., Lorca, D., Lutz, P., Lux, T., Maalampi, J., Maire, G., Maki, M., Manenti, L., Margineanu, R. M., Marteau, J., Martin-Chassard, G., Mathez, H., Mazzucato, E., Misitano, G., Mladenov, D., Bueno, L. Molina, Mosu, T. S., Mu, W., Murphy, S., Nakayoshi, K., Narita, S., Navas-Nicolás, D., Negishi, K., Nessi, M., Niculescu-Oglinzanu, M., Noto, F., Noury, A., Onishchuk, Y., Palomares, C., Parvu, M., Patzak, T., Penichot, Y., Pennacchio, E., Periale, L., Pessard, H., Pietropaolo, F., Pugnere, D., Radics, B., Redondo, D., Regenfus, C., Remoto, A., Resnati, F., Ristea, O., Rubbia, A., Saftoiu, A., Sakashita, K., Sanchez, F., Santos, C., Scarpelli, A., Schloesser, C., Sendai, K., Sergiampietri, F., Shahsavarani, S., Shoji, M., Sinclair, J., Soto-Oton, J., Stanca, D. I., Stefan, D., Sulej, R., Tanaka, M., Toboaru, V., Tonazzo, A., Tromeur, W., Trzaska, W. H., Uchida, T., Urda, L., Vannucci, F., Vasseur, G., Verdugo, A., Viant, T., Vihonen, S., Vilalte, S., Weber, M., Wu, S., Yu, J., Zambelli, L., and Zito, M.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The $3 \times 1 \times 1$ m$^3$ demonstrator is a dual phase liquid argon time projection chamber that has recorded cosmic rays events in 2017 at CERN. The light signal in these detectors is crucial to provide precise timing capabilities. The performances of the photon detection system, composed of five PMTs, are discussed. The collected scintillation and electroluminescence light created by passing particles has been studied in various detector conditions. In particular, the scintillation light production and propagation processes have been analyzed and compared to simulations, improving the understanding of some liquid argon properties., Comment: 30 pages, 26 figures
Published: 2020
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8. The rocky road to quiescence: compaction and quenching of quasar host galaxies at z~2

Author: Stacey, H. R., McKean, J. P., Powell, D. M., Vegetti, S., Rizzo, F., Spingola, C., Auger, M. W., Ivison, R. J., and van der Werf, P. P.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We resolve the host galaxies of seven gravitationally lensed quasars at redshift 1.5 to 2.8 using observations with the Atacama Large (sub-)Millimetre Array. Using a visibility-plane lens modelling technique, we create pixellated reconstructions of the dust morphology, and CO line morphology and kinematics. We find that the quasar hosts in our sample can be distinguished into two types: 1) galaxies characterised by clumpy, extended dust distributions ($R_{\rm eff}\sim2$ kpc) and mean star formation rate surface densities comparable to sub-mm-selected dusty star-forming galaxies ($\Sigma_{\rm SFR}\sim3$ M$_{\odot}$ yr$^{-1}$ kpc$^{-2}$); 2) galaxies that have sizes in dust emission similar to coeval passive galaxies and compact starbursts ($R_{\rm eff}\sim0.5$ kpc), with high mean star formation rate surface densities ($\Sigma_{\rm SFR}=$ 400$-$4500 M$_{\odot}$ yr$^{-1}$ kpc$^{-2}$) that may be Eddington-limited or super-Eddington. The small size of some quasar hosts suggests that we observe them at a stage in their transformation into compact spheroids, where a high density of dynamically unstable gas leads to efficient star formation and black hole accretion. For the one system where we probe the mass of the gas reservoir, we find a gas fraction of just $0.06 \pm 0.04$ and a depletion timescale of $50 \pm 40$ Myr, suggesting it is transitioning into quiescence. In general, we expect that the extreme level of star formation in the compact quasar host galaxies will rapidly exhaust their gas reservoirs and could quench with or without help from active galactic nuclei feedback., Comment: Accepted by MNRAS; 22 pages
Published: 2020
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9. Atom probe characterisation of segregation driven Cu and Mn-Ni-Si co-precipitation in neutron irradiated T91 tempered-martensitic steel

Author: Davis, T. P., Auger, M. A., Almirall, N., Hosemann, P., Odette, G. R., Bagot, P. A. J., Moody, M. P., and Armstrong, D. E. J.
Subjects: Condensed Matter - Materials Science, Nuclear Experiment
Abstract: The T91 grade and similar 9Cr tempered-martensitic steels (also known as ferritic-martensitic) are leading candidate structural alloys for fast fission nuclear and fusion power reactors. At low temperatures (300 to 400 $^\circ$C) neutron irradiation hardens and embrittles these steels, therefore it is important to investigate the origin of this mode of life limiting property degradation. T91 steel specimens were separately neutron irradiated to 2.14 dpa at 327 $^\circ$C and 8.82 dpa at 377 $^\circ$C in the Idaho National Laboratory Advanced Test Reactor. Atom probe tomography was used to investigate the segregation driven formation of Mn-Ni-Si-rich (MNSPs) and Cu-rich (CRP) co-precipitates. The precipitates increase in size and, slightly, in volume fraction at the higher irradiation temperature and dose, while their corresponding compositions were very similar, falling near the Si(Mn,Ni) phase field in the Mn-Ni-Si projection of the Fe-based quaternary phase diagram. While the structure of the precipitates has not been characterized, this composition range is distinctly different than that of the typically cited G-phase. The precipitates are composed of CRP with MNSP appendages. Such features are often observed in neutron irradiated reactor pressure vessel (RPV) steels. However, the Si, Ni, Mn, P and Cu solutes concentrations are lower in the T91 than in typical RPV steels. Thus, in T91 precipitation primarily takes place in solute segregated regions of line and loop dislocations. These results are consistent with the model for radiation induced segregation driven precipitation of MNSPs proposed by Ke et al. Cr-rich alpha prime ($\alpha$') phase formation was not observed., Comment: Pre-print (not peer reviewed)
Published: 2020

10. TDCOSMO IV: Hierarchical time-delay cosmography -- joint inference of the Hubble constant and galaxy density profiles

Author: Birrer, S., Shajib, A. J., Galan, A., Millon, M., Treu, T., Agnello, A., Auger, M., Chen, G. C. -F., Christensen, L., Collett, T., Courbin, F., Fassnacht, C. D., Koopmans, L. V. E., Marshall, P. J., Park, J. -W., Rusu, C. E., Sluse, D., Spiniello, C., Suyu, S. H., Wagner-Carena, S., Wong, K. C., Barnabè, M., Bolton, A. S., Czoske, O., Ding, X., Frieman, J. A., and Van de Vyvere, L.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract: The H0LiCOW collaboration inferred via gravitational lensing time delays a Hubble constant $H_0=73.3^{+1.7}_{-1.8}$ km s$^{-1}{\rm Mpc}^{-1}$, describing deflector mass density profiles by either a power-law or stars plus standard dark matter halos. The mass-sheet transform (MST) that leaves the lensing observables unchanged is considered the dominant source of residual uncertainty in $H_0$. We quantify any potential effect of the MST with flexible mass models that are maximally degenerate with H0. Our calculation is based on a new hierarchical approach in which the MST is only constrained by stellar kinematics. The approach is validated on hydrodynamically simulated lenses. We apply the method to the TDCOSMO sample of 7 lenses (6 from H0LiCOW) and measure $H_0=74.5^{+5.6}_{-6.1}$ km s$^{-1}{\rm Mpc}^{-1}$. In order to further constrain the deflector mass profiles, we then add imaging and spectroscopy for 33 strong gravitational lenses from the SLACS sample. For 9 of the SLAC lenses we use resolved kinematics to constrain the stellar anisotropy. From the joint analysis of the TDCOSMO+SLACS sample, we measure $H_0=67.4^{+4.1}_{-3.2}$ km s$^{-1}{\rm Mpc}^{-1}$, assuming that the TDCOSMO and SLACS galaxies are drawn from the same parent population. The blind H0LiCOW, TDCOSMO-only and TDCOSMO+SLACS analyses are in mutual statistical agreement. The TDCOSMO+SLACS analysis prefers marginally shallower mass profiles than H0LiCOW or TDCOSMO-only. While our new analysis does not statistically invalidate the mass profile assumptions by H0LiCOW, and thus their $H_0$ measurement relying on those, it demonstrates the importance of understanding the mass density profile of elliptical galaxies. The uncertainties on $H_0$ derived in this paper can be reduced by physical or observational priors on the form of the mass profile, or by additional data, chiefly spatially resolved kinematics of lens galaxies., Comment: accepted by A&A. Full analysis available at https://github.com/TDCOSMO/hierarchy_analysis_2020_public updated permanent analysis script links
Published: 2020
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11. Time Delay Lens Modelling Challenge

Author: Ding, X., Treu, T., Birrer, S., Chen, G. C. -F., Coles, J., Denzel, P., Galan, M. Frigo A., Marshall, P. J., Millon, M., More, A., Shajib, A. J., Sluse, D., Tak, H., Xu, D., Auger, M. W., Bonvin, V., Chand, H., Courbin, F., Despali, G., Fassnacht, C. D., Gilman, D., Hilbert, S., Kumar, S. R., Lin, Y. -Y., Park, J. W., Saha, P., Vegetti, S., Van de Vyvere, L., and Williams, L. L. R.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: In recent years, breakthroughs in methods and data have enabled gravitational time delays to emerge as a very powerful tool to measure the Hubble constant $H_0$. However, published state-of-the-art analyses require of order 1 year of expert investigator time and up to a million hours of computing time per system. Furthermore, as precision improves, it is crucial to identify and mitigate systematic uncertainties. With this time delay lens modelling challenge we aim to assess the level of precision and accuracy of the modelling techniques that are currently fast enough to handle of order 50 lenses, via the blind analysis of simulated datasets. The results in Rung 1 and Rung 2 show that methods that use only the point source positions tend to have lower precision ($10 - 20\%$) while remaining accurate. In Rung 2, the methods that exploit the full information of the imaging and kinematic datasets can recover $H_0$ within the target accuracy ($ |A| < 2\%$) and precision ($< 6\%$ per system), even in the presence of poorly known point spread function and complex source morphology. A post-unblinding analysis of Rung 3 showed the numerical precision of the ray-traced cosmological simulations to be insufficient to test lens modelling methodology at the percent level, making the results difficult to interpret. A new challenge with improved simulations is needed to make further progress in the investigation of systematic uncertainties. For completeness, we present the Rung 3 results in an appendix, and use them to discuss various approaches to mitigating against similar subtle data generation effects in future blind challenges., Comment: 23 pages, 12 figures, 6 tables, MNRAS accepted
Published: 2020
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12. The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2017/2018 follow-up campaign: Discovery of 10 lensed quasars and 10 quasar pairs

Author: Lemon, C., Auger, M. W., McMahon, R., Anguita, T., Apostolovski, Y., Chen, G. C. -F., Fassnacht, C. D., Melo, A., Motta, V., Shajib, A., Treu, T., Agnello, A., Buckley-Geer, E., Schechter, P. L., Birrer, S., Collett, T., Courbin, F., Rusu, C. E., Abbott, T. M. C., Allam, S., Annis, J., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Desai, S., Eifler, T. F., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Kim, A., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Lin, H., Maia, M. A. G., March, M., Marshall, J. L., Menanteau, F., Miquel, R., Palmese, A., Chinchón, F. Paz, Plazas, A. A., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., and Walker, A. R.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We report the results of the STRong lensing Insights from the Dark Energy Survey (STRIDES) follow-up campaign of the late 2017/early 2018 season. We obtained spectra of 65 lensed quasar candidates either with EFOSC2 on the NTT or ESI on Keck, which confirm 10 new gravitationally lensed quasars and 10 quasar pairs with similar spectra, but which do not show a lensing galaxy in DES images. Eight lensed quasars are doubly imaged with source redshifts between 0.99 and 2.90, one is triply imaged by a group (DESJ0345-2545, $z=1.68$), and one is quadruply imaged (quad: DESJ0053-2012, $z=3.8$). Singular isothermal ellipsoid models for the doubles, based on high-resolution imaging from SAMI on SOAR or NIRC2 on Keck, give total magnifications between 3.2 and 5.6, and Einstein radii between 0.49 and 1.97 arcseconds. After spectroscopic follow-up, we extract multi-epoch $grizY$ photometry of confirmed lensed quasars and contaminant quasar+star pairs from the first 4 years of DES data using parametric multi-band modelling, and compare variability in each system's components. By measuring the reduced ${\chi}^2$ associated with fitting all epochs to the same magnitude, we find a simple cut on the less variable component that retains all confirmed lensed quasars, while removing 94 per cent of contaminant systems with stellar components. Based on our spectroscopic follow-up, this variability information can improve selection of lensed quasars and quasar pairs from 34-45 per cent to 51-70 per cent, with the majority of remaining contaminants being compact star-forming galaxies. Using mock lensed quasar lightcurves we demonstrate that selection based only on variability will over-represent the quad fraction by 10 per cent over a complete DES magnitude-limited sample (excluding microlensing differences), explained by the magnification bias and hence lower luminosity (more variable) sources in quads., Comment: 22 pages, 16 figures, submitted to MNRAS
Published: 2019
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13. TDCOSMO. I. An exploration of systematic uncertainties in the inference of $H_0$ from time-delay cosmography

Author: Millon, M., Galan, A., Courbin, F., Treu, T., Suyu, S. H., Ding, X., Birrer, S., Chen, G. C. -F., Shajib, A. J., Sluse, D., Wong, K. C., Agnello, A., Auger, M. W., Buckley-Geer, E. J., Chan, J. H. H., Collett, T., Fassnacht, C. D., Hilbert, S., Koopmans, L. V. E., Motta, V., Mukherjee, S., Rusu, C. E., Sonnenfeld, A., Spiniello, C., and Van de Vyvere, L.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Time-delay cosmography of lensed quasars has achieved 2.4% precision on the measurement of the Hubble constant, $H_0$. As part of an ongoing effort to uncover and control systematic uncertainties, we investigate three potential sources: 1- stellar kinematics, 2- line-of-sight effects, and 3- the deflector mass model. To meet this goal in a quantitative way, we reproduced the H0LiCOW/SHARP/STRIDES (hereafter TDCOSMO) procedures on a set of real and simulated data, and we find the following. First, stellar kinematics cannot be a dominant source of error or bias since we find that a systematic change of 10% of measured velocity dispersion leads to only a 0.7% shift on $H_0$ from the seven lenses analyzed by TDCOSMO. Second, we find no bias to arise from incorrect estimation of the line-of-sight effects. Third, we show that elliptical composite (stars + dark matter halo), power-law, and cored power-law mass profiles have the flexibility to yield a broad range in $H_0$ values. However, the TDCOSMO procedures that model the data with both composite and power-law mass profiles are informative. If the models agree, as we observe in real systems owing to the "bulge-halo" conspiracy, $H_0$ is recovered precisely and accurately by both models. If the two models disagree, as in the case of some pathological models illustrated here, the TDCOSMO procedure either discriminates between them through the goodness of fit, or it accounts for the discrepancy in the final error bars provided by the analysis. This conclusion is consistent with a reanalysis of six of the TDCOSMO (real) lenses: the composite model yields $74.0^{+1.7}_{-1.8}$ $km.s^{-1}.Mpc^{-1}$, while the power-law model yields $H_0=74.2^{+1.6}_{-1.6}$ $km.s^{-1}.Mpc^{-1}$. In conclusion, we find no evidence of bias or errors larger than the current statistical uncertainties reported by TDCOSMO., Comment: 19 pages, 9 figures, 4 tables, published in A&A
Published: 2019
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14. STRIDES: a 3.9 per cent measurement of the Hubble constant from the strong lens system DES J0408-5354

Author: Shajib, A. J., Birrer, S., Treu, T., Agnello, A., Buckley-Geer, E. J., Chan, J. H. H., Christensen, L., Lemon, C., Lin, H., Millon, M., Poh, J., Rusu, C. E., Sluse, D., Spiniello, C., Chen, G. C. -F., Collett, T., Courbin, F., Fassnacht, C. D., Frieman, J., Galan, A., Gilman, D., More, A., Anguita, T., Auger, M. W., Bonvin, V., McMahon, R., Meylan, G., Wong, K. C., Abbott, T. M. C., Annis, J., Avila, S., Bechtol, K., Brooks, D., Brout, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., De Vicente, J., Desai, S., Dietrich, J. P., Doel, P., Drlica-Wagner, A., Evrard, A. E., Finley, D. A., Flaugher, B., Fosalba, P., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Jeltema, T., Krause, E., Kuropatkin, N., Li, T. S., Lima, M., MacCrann, N., Maia, M. A. G., Marshall, J. L., Melchior, P., Miquel, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Roodman, A., Sako, M., Sanchez, E., Santiago, B., Scarpine, V., Schubnell, M., Scolnic, D., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., Walker, A. R., and Zhang, Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a blind time-delay cosmographic analysis for the lens system DES J0408$-$5354. This system is extraordinary for the presence of two sets of multiple images at different redshifts, which provide the opportunity to obtain more information at the cost of increased modelling complexity with respect to previously analyzed systems. We perform detailed modelling of the mass distribution for this lens system using three band Hubble Space Telescope imaging. We combine the measured time delays, line-of-sight central velocity dispersion of the deflector, and statistically constrained external convergence with our lens models to estimate two cosmological distances. We measure the "effective" time-delay distance corresponding to the redshifts of the deflector and the lensed quasar $D_{\Delta t}^{\rm eff}=3382^{+146}_{-115}$ Mpc and the angular diameter distance to the deflector $D_{\rm d}=1711^{+376}_{-280}$ Mpc, with covariance between the two distances. From these constraints on the cosmological distances, we infer the Hubble constant $H_0 = 74.2^{+2.7}_{-3.0}$ km s$^{-1}$ Mpc$^{-1}$ assuming a flat $\Lambda$CDM cosmology and a uniform prior for $\Omega_{\rm m}$ as $\Omega_{\rm m} \sim \mathcal{U}(0.05, 0.5)$. This measurement gives the most precise constraint on $H_0$ to date from a single lens. Our measurement is consistent with that obtained from the previous sample of six lenses analyzed by the $H_0$ Lenses in COSMOGRAIL's Wellspring (H0LiCOW) collaboration. It is also consistent with measurements of $H_0$ based on the local distance ladder, reinforcing the tension with the inference from early Universe probes, for example, with 2.2$\sigma$ discrepancy from the cosmic microwave background measurement., Comment: 32 pages, 17 figures, 10 tables. Accepted by MNRAS
Published: 2019
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15. A New Concept for Kilotonne Scale Liquid Argon Time Projection Chambers

Author: Auger, M., Berner, R., Chen, Y., Ereditato, A., Goeldi, D., Koller, P. P., Kreslo, I., Lorca, D., Mettler, T., Piastra, F., Sinclair, J. R., Weber, M., Wilkinson, C., Convery, M., Domine, L., Drielsma, F., Itay, R., Koh, D. H., Tanaka, H. A., Terao, K., Tsang, P., Usher, T., Dwyer, D. A., Kohn, S., Madigan, P., Marshall, C. M., Bross, A., and Asaadi, J.
Subjects: Physics - Instrumentation and Detectors
Abstract: We develop a novel approach for a Time Projection Chamber (TPC) concept suitable for deployment in kilotonne scale detectors, with a charge-readout system free from reconstruction ambiguities, and a robust TPC design that reduces high-voltage risks while increasing the coverage of the light collection system. This novel concept could be deployed as a Far Detector module in the Deep Underground Neutrino Experiment (DUNE) neutrino-oscillation experiment. For the charge-readout system, we use the charge-collection pixels and associated application-specific integrated circuits currently being developed for the liquid argon (LAr) component of the DUNE Near Detector design, ArgonCube. In addition, we divide the TPC into a number or shorter drift volumes, reducing the total voltage used to drift the ionisation electrons, and minimising the stored energy per TPC. Segmenting the TPC also contains scintillation light, allowing for precise trigger localisation and a more expansive light-readout system. Furthermore, the design opens the possibility of replacing or upgrading components. These augmentations could substantially improve reliability and sensitivity, particularly for low energy signals, in comparison to a traditional monolithic LArTPCs with projective charge-readout., Comment: 12 pages, 5 figures
Published: 2019

16. First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at $E_\nu \sim 0.8$ GeV with the MicroBooNE Detector

Author: Abratenko, P., Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Domine, L., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fitzpatrick, R. S., Fleming, B. T., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Greenlee, H., Grosso, R., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Lepetic, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., Meddage, V., Mettler, T., Mills, J., Mistry, K., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Ren, L., Rochester, L., Rogers, H. E., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment
Abstract: We report the first measurement of the double-differential and total muon neutrino charged current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab Booster neutrino beam and correspond to $1.6 \times 10^{20}$ protons on target of exposure. The measured differential cross sections are presented as a function of muon momentum, using multiple Coulomb scattering as a momentum measurement technique, and the muon angle with respect to the beam direction. We compare the measured cross sections to multiple neutrino event generators and find better agreement with those containing more complete treatment of quasielastic scattering processes at low $Q^2$. The total flux integrated cross section is measured to be $0.693 \pm 0.010 \, (\text{stat}) \pm 0.165 \, (\text{syst}) \times 10^{-38} \, \text{cm}^{2}$., Comment: 7 pages, 2 figures
Published: 2019
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17. H0LiCOW X: Spectroscopic/imaging survey and galaxy-group identification around the strong gravitational lens system WFI2033-4723

Author: Sluse, D., Rusu, C. E., Fassnacht, C. D., Sonnenfeld, A., Richard, J., Auger, M. W., Coccato, L., Wong, K. C., Suyu, S. H., Treu, T., Agnello, A., Birrer, S., Bonvin, V., Collett, T., Courbin, F., Hilbert, S., Koopmans, L. V. E., Tihhanova, O., Marshall, P. J., Meylan, G., Shajib, A. J., Annis, J., Avila, S., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., da Costa, L. N., De Vicente, J., Desai, S., Doel, P., Evrard, A. E., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Goldstein, D. A., Gruendl, R. A., Gschwend, J., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Kim, A. G., Krause, E., Kuehn, K., Kuropatkin, N., Lima, M., Lin, H., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Plazas, A. A., Sanchez, E., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., and Tarle, G.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: Galaxies and galaxy groups located along the line of sight towards gravitationally lensed quasars produce high-order perturbations of the gravitational potential at the lens position. When these perturbation are too large, they can induce a systematic error on $H_0$ of a few-percent if the lens system is used for cosmological inference and the perturbers are not explicitly accounted for in the lens model. In this work, we present a detailed characterization of the environment of the lens system WFI2033-4723 ($z_{\rm src} = 1.662$, $z_{\rm lens}$ = 0.6575), one of the core targets of the H0LICOW project for which we present cosmological inferences in a companion paper (Rusu et al. 2019). We use the Gemini and ESO-Very Large telescopes to measure the spectroscopic redshifts of the brightest galaxies towards the lens, and use the ESO-MUSE integral field spectrograph to measure the velocity-dispersion of the lens ($\sigma_{\rm {los}}= 250^{+15}_{-21}$ km/s) and of several nearby galaxies. In addition, we measure photometric redshifts and stellar masses of all galaxies down to $i < 23$ mag, mainly based on Dark Energy Survey imaging (DR1). Our new catalog, complemented with literature data, more than doubles the number of known galaxy spectroscopic redshifts in the direct vicinity of the lens, expanding to 116 (64) the number of spectroscopic redshifts for galaxies separated by less than 3 arcmin (2 arcmin) from the lens. Using the flexion-shift as a measure of the amplitude of the gravitational perturbation, we identify 2 galaxy groups and 3 galaxies that require specific attention in the lens models. The ESO MUSE data enable us to measure the velocity-dispersions of three of these galaxies. These results are essential for the cosmological inference analysis presented in Rusu et al. (2019)., Comment: Matches the version accepted for publication by MNRAS. Note that this paper previously appeared as H0LICOW XI
Published: 2019
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18. SHARP -- VI. Evidence for CO (1-0) molecular gas extended on kpc-scales in AGN star forming galaxies at high redshift

Author: Spingola, C., McKean, J. P., Vegetti, S., Powell, D., Auger, M. W., Koopmans, L. V. E., Fassnacht, C. D., Lagattuta, D. J., Rizzo, F., Stacey, H. R., and Sweijen, F.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We present a study of the stellar host galaxy, CO (1$-$0) molecular gas distribution and AGN emission on 50 to 500 pc-scales of the gravitationally lensed dust-obscured AGN MG J0751+2716 and JVAS B1938+666 at redshifts 3.200 and 2.059, respectively. By correcting for the lensing distortion using a grid-based lens modelling technique, we spatially locate the different emitting regions in the source plane for the first time. Both AGN host galaxies have 300 to 500 pc-scale size and surface brightness consistent with a bulge/pseudo-bulge, and 2 kpc-scale AGN radio jets that are embedded in extended molecular gas reservoirs that are 5 to 20 kpc in size. The CO (1$-$0) velocity fields show structures possibly associated with discs (elongated velocity gradients) and interacting objects (off-axis velocity components). There is evidence for a decrement in the CO (1$-$0) surface brightness at the location of the host galaxy, which may indicate radiative feedback from the AGN, or offset star formation.We find CO-H$_2$ conversion factors of around $\alpha_{\rm CO} = 1.5\pm0.5$ (K km s$^{-1}$ pc$^2$)$^{-1}$, molecular gas masses of $> 3\times10^{10}$ M$_{\odot}$, dynamical masses of $\sim 10^{11}$ M$_{\odot}$ and gas fractions of around 60 per cent. The intrinsic CO line luminosities are comparable to those of unobscured AGN and dusty star-forming galaxies at similar redshifts, but the infrared luminosities are lower, suggesting that the targets are less efficient at forming stars. Therefore, they may belong to the AGN feedback phase predicted by galaxy formation models, because they are not efficiently forming stars considering their large amount of molecular gas., Comment: 22 pages, 15 figures with additional 1 figure in the Appendix. Accepted for publication by MNRAS
Published: 2019
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19. 4MOST: Project overview and information for the First Call for Proposals

Author: de Jong, R. S., Agertz, O., Berbel, A. Agudo, Aird, J., Alexander, D. A., Amarsi, A., Anders, F., Andrae, R., Ansarinejad, B., Ansorge, W., Antilogus, P., Anwand-Heerwart, H., Arentsen, A., Arnadottir, A., Asplund, M., Auger, M., Azais, N., Baade, D., Baker, G., Baker, S., Balbinot, E., Baldry, I. K., Banerji, M., Barden, S., Barklem, P., Barthélémy-Mazot, E., Battistini, C., Bauer, S., Bell, C. P. M., Bellido-Tirado, O., Bellstedt, S., Belokurov, V., Bensby, T., Bergemann, M., Bestenlehner, J. M., Bielby, R., Bilicki, M., Blake, C., Bland-Hawthorn, J., Boeche, C., Boland, W., Boller, T., Bongard, S., Bongiorno, A., Bonifacio, P., Boudon, D., Brooks, D., Brown, M. J. I., Brown, R., Brüggen, M., Brynnel, J., Brzeski, J., Buchert, T., Buschkamp, P., Caffau, E., Caillier, P., Carrick, J., Casagrande, L., Case, S., Casey, A., Cesarini, I., Cescutti, G., Chapuis, D., Chiappini, C., Childress, M., Christlieb, N., Church, R., Cioni, M. -R. L., Cluver, M., Colless, M., Collett, T., Comparat, J., Cooper, A., Couch, W., Courbin, F., Croom, S., Croton, D., Daguisé, E., Dalton, G., Davies, L. J. M., Davis, T., de Laverny, P., Deason, A., Dionies, F., Disseau, K., Doel, P., Döscher, D., Driver, S. P., Dwelly, T., Eckert, D., Edge, A., Edvardsson, B., Youssoufi, D. El, Elhaddad, A., Enke, H., Erfanianfar, G., Farrell, T., Fechner, T., Feiz, C., Feltzing, S., Ferreras, I., Feuerstein, D., Feuillet, D., Finoguenov, A., Ford, D., Fotopoulou, S., Fouesneau, M., Frenk, C., Frey, S., Gaessler, W., Geier, S., Fusillo, N. Gentile, Gerhard, O., Giannantonio, T., Giannone, D., Gibson, B., Gillingham, P., González-Fernández, C., Gonzalez-Solares, E., Gottloeber, S., Gould, A., Grebel, E. K., Gueguen, A., Guiglion, G., Haehnelt, M., Hahn, T., Hansen, C. J., Hartman, H., Hauptner, K., Hawkins, K., Haynes, D., Haynes, R., Heiter, U., Helmi, A., Aguayo, C. Hernandez, Hewett, P., Hinton, S., Hobbs, D., Hoenig, S., Hofman, D., Hook, I., Hopgood, J., Hopkins, A., Hourihane, A., Howes, L., Howlett, C., Huet, T., Irwin, M., Iwert, O., Jablonka, P., Jahn, T., Jahnke, K., Jarno, A., Jin, S., Jofre, P., Johl, D., Jones, D., Jönsson, H., Jordan, C., Karovicova, I., Khalatyan, A., Kelz, A., Kennicutt, R., King, D., Kitaura, F., Klar, J., Klauser, U., Kneib, J., Koch, A., Koposov, S., Kordopatis, G., Korn, A., Kosmalski, J., Kotak, R., Kovalev, M., Kreckel, K., Kripak, Y., Krumpe, M., Kuijken, K., Kunder, A., Kushniruk, I., Lam, M. I, Lamer, G., Laurent, F., Lawrence, J., Lehmitz, M., Lemasle, B., Lewis, J., Li, B., Lidman, C., Lind, K., Liske, J., Lizon, J. -L., Loveday, J., Ludwig, H. -G., McDermid, R. M., Maguire, K., Mainieri, V., Mali, S., Mandel, H., Mandel, K., Mannering, L., Martell, S., Delgado, D. Martinez, Matijevic, G., McGregor, H., McMahon, R., McMillan, P., Mena, O., Merloni, A., Meyer, M. J., Michel, C., Micheva, G., Migniau, J. -E., Minchev, I., Monari, G., Muller, R., Murphy, D., Muthukrishna, D., Nandra, K., Navarro, R., Ness, M., Nichani, V., Nichol, R., Nicklas, H., Niederhofer, F., Norberg, P., Obreschkow, D., Oliver, S., Owers, M., Pai, N., Pankratow, S., Parkinson, D., Parry, I., Paschke, J., Paterson, R., Pecontal, A., Phillips, D., Pillepich, A., Pinard, L., Pirard, J., Piskunov, N., Plank, V., Plüschke, D., Pons, E., Popesso, P., Power, C., Pragt, J., Pramskiy, A., Pryer, D., Quattri, M., Queiroz, A. B. de Andrade, Quirrenbach, A., Rahurkar, S., Raichoor, A., Ramstedt, S., Rau, A., Recio-Blanco, A., Reiss, R., Renaud, F., Revaz, Y., Rhode, P., Richard, J., Richter, A. D., Rix, H. -W., Robotham, A. S. G., Roelfsema, R., Romaniello, M., Rosario, D., Rothmaier, F., Roukema, B., Ruchti, G., Rupprecht, G., Rybizki, J., Ryde, N., Saar, A., Sadler, E., Sahlén, M., Salvato, M., Sassolas, B., Saunders, W., Saviauk, A., Sbordone, L., Schmidt, T., Schnurr, O., Scholz, R. -D., Schwope, A., Seifert, W., Shanks, T., Sheinis, A., Sivov, T., Skúladóttir, Á., Smartt, S., Smedley, S., Smith, G., Smith, R., Sorce, J., Spitler, L., Starkenburg, E., Steinmetz, M., Stilz, I., Storm, J., Sullivan, M., Sutherland, W., Swann, E., Tamone, A., Taylor, E. N., Teillon, J., Tempel, E., ter Horst, R., Thi, W. -F., Tolstoy, E., Trager, S., Traven, G., Tremblay, P. -E., Tresse, L., Valentini, M., van de Weygaert, R., Ancker, M. van den, Veljanoski, J., Venkatesan, S., Wagner, L., Wagner, K., Walcher, C. J., Waller, L., Walton, N., Wang, L., Winkler, R., Wisotzki, L., Worley, C. C., Worseck, G., Xiang, M., Xu, W., Yong, D., Zhao, C., Zheng, J., Zscheyge, F., and Zucker, D.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We introduce the 4-metre Multi-Object Spectroscopic Telescope (4MOST), a new high-multiplex, wide-field spectroscopic survey facility under development for the four-metre-class Visible and Infrared Survey Telescope for Astronomy (VISTA) at Paranal. Its key specifications are: a large field of view (FoV) of 4.2 square degrees and a high multiplex capability, with 1624 fibres feeding two low-resolution spectrographs ($R = \lambda/\Delta\lambda \sim 6500$), and 812 fibres transferring light to the high-resolution spectrograph ($R \sim 20\,000$). After a description of the instrument and its expected performance, a short overview is given of its operational scheme and planned 4MOST Consortium science; these aspects are covered in more detail in other articles in this edition of The Messenger. Finally, the processes, schedules, and policies concerning the selection of ESO Community Surveys are presented, commencing with a singular opportunity to submit Letters of Intent for Public Surveys during the first five years of 4MOST operations., Comment: Part of the 4MOST issue of The Messenger, published in preparation of 4MOST Community Workshop, see http://www.eso.org/sci/meetings/2019/4MOST.html
Published: 2019
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20. Design and construction of the MicroBooNE Cosmic Ray Tagger system

Author: MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fitzpatrick, R. S., Fleming, B. T., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Lepetic, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mastbaum, A., Meddage, V., Mettler, T., Mills, G. B., Mistry, K., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors
Abstract: The MicroBooNE detector utilizes a liquid argon time projection chamber (LArTPC) with an 85 t active mass to study neutrino interactions along the Booster Neutrino Beam (BNB) at Fermilab. With a deployment location near ground level, the detector records many cosmic muon tracks in each beam-related detector trigger that can be misidentified as signals of interest. To reduce these cosmogenic backgrounds, we have designed and constructed a TPC-external Cosmic Ray Tagger (CRT). This sub-system was developed by the Laboratory for High Energy Physics (LHEP), Albert Einstein center for fundamental physics, University of Bern. The system utilizes plastic scintillation modules to provide precise time and position information for TPC-traversing particles. Successful matching of TPC tracks and CRT data will allow us to reduce cosmogenic background and better characterize the light collection system and LArTPC data using cosmic muons. In this paper we describe the design and installation of the MicroBooNE CRT system and provide an overview of a series of tests done to verify the proper operation of the system and its components during installation, commissioning, and physics data-taking.
Published: 2019
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21. Rejecting cosmic background for exclusive neutrino interaction studies with Liquid Argon TPCs; a case study with the MicroBooNE detector

Author: MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fitzpatrick, R. S., Fleming, B. T., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Lepetic, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mastbaum, A., Meddage, V., Mettler, T., Mistry, K., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Ren, L., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment, Physics - Data Analysis, Statistics and Probability
Abstract: Cosmic ray (CR) interactions can be a challenging source of background for neutrino oscillation and cross-section measurements in surface detectors. We present methods for CR rejection in measurements of charged-current quasielastic-like (CCQE-like) neutrino interactions, with a muon and a proton in the final state, measured using liquid argon time projection chambers (LArTPCs). Using a sample of cosmic data collected with the MicroBooNE detector, mixed with simulated neutrino scattering events, a set of event selection criteria is developed that produces an event sample with minimal contribution from CR background. Depending on the selection criteria used a purity between 50% and 80% can be achieved with a signal selection efficiency between 50% and 25%, with higher purity coming at the expense of lower efficiency. While using a specific dataset from the MicroBooNE detector and selection criteria values optimized for CCQE-like events, the concepts presented here are generic and can be adapted for various studies of exclusive {\nu}{\mu} interactions in LArTPCs., Comment: 12 pages, 10 figures, 1 table
Published: 2018

22. Low-mass halo perturbations in strong gravitational lenses at redshift z$\sim$0.5 are consistent with CDM

Author: Ritondale, E., Vegetti, S., Despali, G., Auger, M. W., Koopmans, L. V. E, and McKean, J. P.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract: We use a sample of 17 strong gravitational lens systems from the BELLS GALLERY survey to quantify the amount of low-mass dark matter haloes within the lensing galaxies and along their lines of sight, and to constrain the properties of dark matter. Based on a detection criterion of 10$\sigma$, we report no significant detection in any of the lenses. Using the sensitivity function at the 10-$\sigma$ level, we have calculated the predicted number of detectable cold dark matter (CDM) line-of-sight haloes to be $\mu_{l} = 1.17\pm1.08$, in agreement with our null detection. Assuming a detection sensitivity that improved to the level implied by a 5-$\sigma$ threshold, the expected number of detectable line-of-sight haloes rises to $\mu_l = 9.0\pm3.0$. Whilst the current data find zero detections at this sensitivity level (which has a probability of P$^{{\rm5}\sigma}_{{\rm CDM}}(n_{\rm det}=0)$=0.0001 and would be in strong tension with the CDM framework), we find that such a low detection threshold leads to many spurious detections and non-detections and therefore the current lack of detections is unreliable and requires data with improved sensitivity. Combining this sample with a subsample of 11 SLACS lenses, we constrain the half-mode mass to be $\log$(M$_{\rm hm}) < 12.26$ at the 2-$\sigma$ level. The latter is consistent with resonantly produced sterile neutrino masses m$_{\rm s} < 0.8$ keV at any value of the lepton asymmetry at the 2-$\sigma$ level., Comment: 14 pages, 7 figures, submitted for publication on MNRAS
Published: 2018
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23. Resolving on 100 pc scales the UV-continuum in Lyman-$\alpha$ emitters between redshift 2 to 3 with gravitational lensing

Author: Ritondale, E., Auger, M. W., Vegetti, S., and McKean, J. P.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We present a study of seventeen LAEs at redshift 2$
Published: 2018
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24. First Measurement of $\nu_{\mu}$ Charged-Current $\pi^{0}$ Production on Argon with a LArTPC

Author: MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fitzpatrick, R. S., Fleming, B. T., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Lepetic, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mastbaum, A., Meddage, V., Mettler, T., Mistry, K., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Ren, L., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: We report the first measurement of the flux-integrated cross section of $\nu_{\mu}$ charged-current single $\pi^{0}$ production on argon. This measurement is performed with the MicroBooNE detector, an 85 ton active mass liquid argon time projection chamber exposed to the Booster Neutrino Beam at Fermilab. This result on argon is compared to past measurements on lighter nuclei to investigate the scaling assumptions used in models of the production and transport of pions in neutrino-nucleus scattering. The techniques used are an important demonstration of the successful reconstruction and analysis of neutrino interactions producing electromagnetic final states using a liquid argon time projection chamber operating at the earth's surface.
Published: 2018
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25. H0LiCOW - IX. Cosmographic analysis of the doubly imaged quasar SDSS 1206+4332 and a new measurement of the Hubble constant

Author: Birrer, S., Treu, T., Rusu, C. E., Bonvin, V., Fassnacht, C. D., Chan, J. H. H., Agnello, A., Shajib, A. J., Chen, G. C. -F., Auger, M., Courbin, F., Hilbert, S., Sluse, D., Suyu, S. H., Wong, K. C., Marshall, P., Lemaux, B. C., and Meylan, G.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a blind time-delay strong lensing (TDSL) cosmographic analysis of the doubly imaged quasar SDSS 1206+4332. We combine the relative time delay between the quasar images, Hubble Space Telescope imaging, the Keck stellar velocity dispersion of the lensing galaxy, and wide-field photometric and spectroscopic data of the field to constrain two angular diameter distance relations. The combined analysis is performed by forward modelling the individual data sets through a Bayesian hierarchical framework, and it is kept blind until the very end to prevent experimenter bias. After unblinding, the inferred distances imply a Hubble constant $H_0 = 68.8^{+5.4}_{-5.1}$ kms$^{-1}$Mpc$^{-1}$, assuming a flat Lambda cold dark matter cosmology with uniform prior on $\Omega_{\rm m}$ in [0.05, 0.5]. The precision of our cosmographic measurement with the doubly imaged quasar SDSS 1206+4332 is comparable with those of quadruply imaged quasars and opens the path to perform on selected doubles the same analysis as anticipated for quads. Our analysis is based on a completely independent lensing code than our previous three H0LiCOW systems and the new measurement is fully consistent with those. We provide the analysis scripts paired with the publicly available software to facilitate independent analysis. The consistency between blind measurements with independent codes provides an important sanity check on lens modelling systematics. By combining the likelihoods of the four systems under the same prior, we obtain $H_0 = 72.5^{+2.1}_{-2.3}$kms$^{-1}$Mpc$^{-1}$. This measurement is independent of the distance ladder and other cosmological probes., Comment: 30 pages, 17 figures, MNRAS published likelihood available here: http://shsuyu.github.io/H0LiCOW/site/notebooks/H0_from_lenses.html, all modeling and analysis scripts available upon request
Published: 2018
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26. A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

Author: MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fitzpatrick, R. S., Fleming, B. T., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mastbaum, A., Meddage, V., Mettler, T., Mills, G. B., Mistry, K., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Computer Science - Computer Vision and Pattern Recognition, Physics - Data Analysis, Statistics and Probability, Physics - Instrumentation and Detectors
Abstract: We have developed a convolutional neural network (CNN) that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training techniques, and software tools developed to train this network. The goal of this work is to develop a complete deep neural network based data reconstruction chain for the MicroBooNE detector. We show the first demonstration of a network's validity on real LArTPC data using MicroBooNE collection plane images. The demonstration is performed for stopping muon and a $\nu_\mu$ charged current neutral pion data samples.
Published: 2018
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27. The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign. I. Overview and classification of candidates selected by two techniques

Author: Treu, T., Agnello, A., Baumer, M. A., Birrer, S., Buckley-Geer, E. J., Courbin, F., Kim, Y. J., Lim, H., Marshall, P. J., Nord, B., Schechter, P. L., Sivakumar, P. R., Abramson, L. E., Anguita, T., Apostolovski, Y., Auger, M. W., Chan, J. H. H., Chen, G. C. F., Collett, T. E., Fassnacht, C. D., Hsueh, J. -W., Lemon, C., McMahon, R. G., Motta, V., Ostrovski, F., Rojas, K., Rusu, C. E., Williams, P., Frieman, J., Meylan, G., Suyu, S. H., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Avila, S., Banerji, M., Brooks, D., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., D'Andrea, C. B., da Costa, L. N., De Vicente, J., Doel, P., Eifler, T. F., Flaugher, B., Fosalba, P., García-Bellido, J., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Hollowood, D., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., Martini, P., Menanteau, F., Miquel, R., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., and Walker, A. R.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract: The primary goals of the STRong lensing Insights into the Dark Energy Survey (STRIDES) collaboration are to measure the dark energy equation of state parameter and the free streaming length of dark matter. To this aim, STRIDES is discovering strongly lensed quasars in the imaging data of the Dark Energy Survey and following them up to measure time delays, high resolution imaging, and spectroscopy sufficient to construct accurate lens models. In this paper, we first present forecasts for STRIDES. Then, we describe the STRIDES classification scheme, and give an overview of the Fall 2016 follow-up campaign. We continue by detailing the results of two selection methods, the Outlier Selection Technique and a morphological algorithm, and presenting lens models of a system, which could possibly be a lensed quasar in an unusual configuration. We conclude with the summary statistics of the Fall 2016 campaign. Including searches presented in companion papers (Anguita et al.; Ostrovski et al.), STRIDES followed up 117 targets identifying 7 new strongly lensed systems, and 7 nearly identical quasars (NIQs), which could be confirmed as lenses by the detection of the lens galaxy. 76 candidates were rejected and 27 remain otherwise inconclusive, for a success rate in the range 6-35\%. This rate is comparable to that of previous searches like SQLS even though the parent dataset of STRIDES is purely photometric and our selection of candidates cannot rely on spectroscopic information., Comment: (MNRAS in press; color scheme of Figures 1-4 improved with respect to v1)
Published: 2018
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28. The DUNE Far Detector Interim Design Report, Volume 3: Dual-Phase Module

Author: DUNE Collaboration, Abi, B., Acciarri, R., Acero, M. A., Adamowski, M., Adams, C., Adams, D., Adamson, P., Adinolfi, M., Ahmad, Z., Albright, C. H., Soplin, L. Aliaga, Alion, T., Monsalve, S. Alonso, Alrashed, M., Alt, C., Anderson, J., Anderson, K., Andreopoulos, C., Andrews, M. P., Andrews, R. A., Ankowski, A., Anthony, J., Antonello, M., Antonova, M., Antusch, S., Fernandez, A. Aranda, Ariga, A., Ariga, T., Sierra, D. Aristizabal, Diaz, E. Arrieta, Asaadi, J., Ascencio, M., Asner, D., Athar, M. S., Auger, M., Aurisano, A., Aushev, V., Autiero, D., Azfar, F., Back, A., Back, H., Back, J., Backhouse, C., Baesso, P., Bagby, L., Bai, X., Baird, M., Balantekin, B., Balasubramanian, S., Baller, B., Ballett, P., Balleyguier, L., Bambah, B., Band, H., Bansal, M., Bansal, S., Barenboim, G., Barker, G. J., Barnes, C., Barr, G., Monarca, J. Barranco, Barros, N., Barrow, J., Bashyal, A., Basque, V., Bass, M., Bay, F., Bays, K., Bazo, J. L., Beacom, J. F., Bechetoille, E., Behera, B. R., Bellantoni, L., Bellettini, G., Bellini, V., Beltramello, O., Belver, D., Benekos, N., Benetti, P. A., Bercellie, A., Berman, E., Bernardini, P., Berner, R., Berns, H. G., Bernstein, R. H., Bertolucci, S., Betancourt, M., Bhatnagar, V., Bhattacharjee, M., Bhuyan, B., Biagi, S., Bian, J., Biery, K., Bilki, B., Bishai, M., Bitadze, A., Blackburn, T., Blake, A., Siffert, B. Blanco, Blaszczyk, F., Blaufuss, E., Blazey, G. C., Blennow, M., Blucher, E., Bocean, V., Boffelli, F., Boissevain, J., Bolognesi, S., Bolton, T., Bonesini, M., Boone, T., Booth, A., Booth, C., Bordoni, S., Borkum, A., Boschi, T., Bour, P., Bourguille, B., Boyd, S. B., Boyden, D., Bracinik, J., Brailsford, D., Brandt, A., Bremer, J., Brice, S. J., Bromberg, C., Brooijmans, G., Brooke, J., Brown, G., Buchanan, N., Budd, H., de Holanda, P. C., Cai, T., Caiulo, D., Calafiura, P., Calatayud, A., Calcutt, J., Callahan, C., Calligarich, E., Calvo, E., Camilleri, L., Caminata, A., Campanelli, M., Cancelo, G., Cankocak, K., Cantini, C., Caratelli, D., Carlus, B., Carneiro, M., Terrazas, I. Caro, Carroll, T. J., Carvallo, M. P., Cascella, M., Castromonte, C., Catano-Mur, E., Cavalli-Sforza, M., Cavanna, F., Cazzato, E., Centro, S., Cerati, G., Cervelli, A., Villanueva, A. Cervera, Cervi, T., Chalifour, M., Chappuis, A., Chatterjee, A., Chattopadhyay, S., Chaves, J., Chen, H., Chen, M. -C., Chen, S., Cherdack, D., Chi, C. -Y., Childress, S., Cho, K., Choubey, S., Choudhary, B. C., Christensen, A., Christian, D., Christodoulou, G., Christofferson, C. -A., Church, E., Clarke, P., Coan, T. E., Cocco, A., Collin, G. H., Conley, E., Conrad, J. M., Convery, M., Corey, R., Corwin, L., Cotte, P., Cremonesi, L., Crespo-Anadón, J. I., Prats, J. Creus, Cristaldo, E., Crivelli, P., Cronin-Hennessy, D., Crowley, C., Cuesta, C., Curioni, A., Cussans, D., Dabrowski, M., Dale, D., Da Motta, H., Davenne, T., Davenport, E., Davies, G. S., Davies, J., Davini, S., Dawson, J., De, K., Decowski, M. P., Neto, P. Dedin, Astiz, I. de Icaza, Delbart, A., Delepine, D., Delgado, M., Dell, A., Neto, J. de Mello, DeMuth, D., Deng, Z., Dennis, S., Densham, C., De Bonis, I., De Gouvêa, A., De Jong, P., De Lurgio, P., De Rijck, S., De Roeck, A., de Vries, J. J., Dharmapalan, R., Dhingra, N., Diamantopoulou, M., Diaz, F., Díaz, J. S., Bautista, G. Diaz, Ding, P., Distefano, C., Diwan, M., Di Domizio, S., Di Giulio, L., Di Luise, S., Djurcic, Z., Doizon, F., Dokania, N., Dolinski, M. J., Dong, R., Anjos, J. dos, Douglas, D., Drake, G., Duchesneau, D., Duffy, K., Dung, B., Dutta, D., Duvernois, M., Duyang, H., Dvornikov, O., Dwyer, D. A., Dye, S., Dyshkant, A. S., Dytman, S., Eads, M., Eberly, B., Edmunds, D., Eisch, J., Elagin, A., Elliott, S., Ellsworth, W., Elnimr, M., Emery, S., Eno, S., Ereditato, A., Escobar, C. O., Sanchez, L. Escudero, Evans, J. J., Ezeribe, A., Fahey, K., Falcone, A., Falk, L., Farbin, A., Farnese, C., Farzan, Y., Fasoli, M., Fava, A., Felix, J., Fernandez-Martinez, E., Menendez, P. Fernandez, Ferraro, F., Feyzi, F., Fields, L., Filkins, A., Filthaut, F., Finch, A., Fischer, O., Fitton, M., Fitzpatrick, R., Flanagan, W., Fleming, B. T., Flight, R., Forest, T., Fowler, J., Fox, W., Franc, J., Francis, K., Franchini, P., Franco, D., Freeman, J., Freestone, J., Fried, J., Friedland, A., Fuess, S., Furic, I., Furmanski, A., Gago, A. M., Gallagher, H., Gallego-Ros, A., Galymov, V., Gamberini, E., Gambetta, S., Gamble, T., Gandhi, R., Gandrajula, R., Gao, S., Garcia-Gamez, D., Gardiner, S., Gastler, D., Gehrlein, J., Gelli, B., Gendotti, A., Ghorbani-Moghaddam, Z., Ghosh, A., Gibin, D., Gil-Botella, I., Girerd, C., Giri, A. K., Glavin, S., Goeldi, D., Gogota, O., Gold, M., Gollapinni, S., Gollwitzer, K., Gomes, R. A., Gomez, L., Bermeo, L. V. Gomez, Cadenas, J. J. Gomez, Gong, H., Gonnella, F., Gonzalez-Cuevas, J. A., Goodman, M., Goodwin, O., Gorbunov, D., Goswami, S., Goudzovski, E., Grace, C., Graf, N., Graham, M., Gramellini, E., Gran, R., Grant, A., Grant, C., Grant, N., Greco, V., Green, S., Greenlee, H., Greenler, L., Greenwood, M., Greer, J., Griffith, W. C., Groh, M., Grudzinski, J., Grzelak, K., Guanghua, G., Guardincerri, E., Guarino, V., Guedes, G. P., Guenette, R., Guglielmi, A., Guo, B., Gupta, S., Gupta, V., Guthikonda, K. K., Gutierrez, R., Guzowski, P., Guzzo, M. M., Habig, A., Hackenburg, R. W., Hackenburg, A., Hackett, B., Hadavand, H., Haenni, R., Hahn, A., Haigh, J., Haines, T., Haiston, J., Hamernik, T., Hamilton, P., Han, J., Handler, T., Hans, S., Harris, D. A., Hartnell, J., Hasegawa, T., Hatcher, R., Hatzikoutelis, A., Hays, S., Hazen, E., Headley, M., Heavey, A., Heegerv, K., Heise, J., Hennessy, K., Henry, S., Hernandez, A., Hernandez-Garcia, J., Herner, K., Hewes, V, Hignight, J., Higuera, A., Hill, T., Hillier, S., Himmel, A., Hohl, C., Holin, A., Hoppe, E., Horikawa, S., Horton-Smith, G., Hostert, M., Hourlier, A., Howard, B., Howell, R., Huang, J., Hugon, J., Hurh, P., Hylen, J., Illingworth, R., Insler, J., Introzzi, G., Ioannisian, A., Izmaylov, A., Jaffe, D. E., James, C., James, E., Jang, C. -H., Jediny, F., Jeong, Y. S., Jhingan, A., Ji, W., Jipa, A., Jiménez, S., Johnson, C., Johnson, M., Johnson, R., Johnstone, J., Jones, B., Jones, S., Joshi, J., Jostlein, H., Jung, C. K., Junk, T., Kaboth, A., Kadenko, I., Kamiya, F., Kamyshkov, Y., Karagiorgi, G., Karasavvas, D., Karyotakis, Y., Kasai, S., Kasetti, S., Kaur, K., Kayser, B., Kazaryan, N., Kearns, E., Keener, P., Kemp, E., Kendziora, C., Ketchum, W., Kettell, S. H., Khabibullin, M., Khotjantsev, A., Kim, D., Kirby, B., Kirby, M., Klein, J., Ko, Y. -J., Kobilarcik, T., Kocaman, B., Koerner, L. W., Kohn, S., Koizumi, G., Koller, P., Kopylov, A., Kordosky, M., Kormos, L., Kosc, T., Kose, U., Kostelecký, V. A., Kothekar, K., Kramer, M., Krennrich, F., Kreslo, I., Kriesel, K., Kropp, W., Kudenko, Y., Kudryavtsev, V. A., Kulagin, S., Kumar, J., Kumar, L., Kumar, A., Kumbhare, S., Kuruppu, C., Kus, V., Kutter, T., LaZur, R., Lande, K., Lane, C., Lang, K., Langford, T., Lanni, F., Lasorak, P., Last, D., Lastoria, C., Laundrie, A., Lazanu, I., Le, T., Learned, J., Lebrun, P., Lee, D., Miotto, G. Lehmann, de Oliveira, M. A. Leigui, Li, Q., Li, S., Li, S. W., Li, X., Li, Y., Li, Z., Liao, H. -Y., Lin, S. -K., Lin, C-J. S., Linehan, R., Linhart, V., Link, J., Liptak, Z., Lissauer, D., Littenberg, L., Littlejohn, B., Liu, J., Liu, T., LoMonaco, L., LoSecco, J. M., Lockwitz, S., Lockyer, N., Loew, T., Lokajicek, M., Long, K., Loo, K., Lopez, J. P., Lorca, D., Lord, T., Losada, M., Louis, W. C., Luethi, M., Luk, K. -B., Lundin, T., Luo, X., Lurkin, N., Lux, T., Luzio, V. P., Lykken, J., Maalampi, J., MacLellan, R., Machado, A. A., Machado, P., Macias, C. T., Macier, J., Madigan, P., Magill, S., Mahler, G., Mahn, K., Malek, M., Maloney, J. A., Mammoliti, F., Mandal, S. K., Mandrioli, G., Manenti, L., Manly, S., Mann, A., Marchionni, A., Marciano, W., Marcocci, S., Marfatia, D., Mariani, C., Maricic, J., Marinho, F., Marino, A. D., Marshak, M., Marshall, C., Marshall, J., Marteau, J., Martin-Albo, J., Martinez, D., Martinez, N., Martinez, H., Mason, K., Mastbaum, A., Masud, M., Mathez, H., Matsuno, S., Matthews, J., Mauger, C., Mauri, N., Mavrokoridis, K., Mazza, R., Mazzacane, A., Mazzucato, E., McCauley, N., McCluskey, E., McConkey, N., McDonald, K., McFarland, K. S., McGivern, C., McGowan, A., McGrew, C., McKeown, R., McNab, A., McNulty, D., McTaggart, R., Meddage, V., Mefodiev, A., Mehta, P., Mei, D., Mena, O., Menary, S., Mendez, H., Mendez, D. P., Menegolli, A., Meng, G., Messier, M., Metcalf, W., Mewes, M., Meyer, H., Miao, T., Migenda, J., Milincic, R., Miller, J., Miller, W., Mills, J., Milne, C., Mineev, O., Miranda, O., Mishra, C. S., Mishra, S. R., Mislivec, A., Mitrica, B., Mladenov, D., Mocioiu, I., Moffat, K., Moggi, N., Mohanta, R., Mokhov, N., Molina, J., Bueno, L. Molina, Montanari, A., Montanari, C., Montanari, D., Zetina, L. Montano, Moon, J., Mooney, M., Moore, C., Moreno, D., Morgan, B., Moroni, G. F., Morris, C., Morse, W., Mossey, C., Moura, C. A., Mousseau, J., Mualem, L., Muether, M., Mufson, S., Muheim, F., Muramatsu, H., Murphy, S., Musser, J., Nachtman, J., Nalbandyan, M., Nandakumar, R., Naples, D., Narita, S., Navarro, G., Navarro, J., Navas-Nicolás, D., Nayak, N., Nebot-Guinot, M., Needham, M., Negishi, K., Nelson, J., Nessi, M., Newbold, D., Newcomer, M., Nichol, R., Nicholls, T. C., Niner, E., Norman, A., Norris, B., Norris, J., Novella, P., Nowak, E., Nowak, J., Nunes, M. S., O'Keeffe, H., Oberling, M., Del Campo, A. Olivares, Olivier, A., Onel, Y., Onishchuk, Y., Ovsjannikova, T., Ozturk, S., Pagani, L., Pakvasa, S., Palamara, O., Paley, J., Pallavicini, M., Palomares, C., Palomino, J., Pantic, E., Paolo, A., Paolone, V., Papadimitriou, V., Papaleo, R., Paramesvaran, S., Park, J., Parke, S., Parsa, Z., Pascoli, S., Pasternak, J., Pater, J., Patrizii, L., Patterson, R. B., Patton, S. J., Patzak, T., Paudel, A., Paulos, B., Paulucci, L., Pavlovic, Z., Pawloski, G., Payam, P., Payne, D., Pec, V., Peeters, S. J. M., Pennacchio, E., Penzo, A., Perdue, G. N., Peres, O. l. G., Periale, L., Petridis, K., Petrillo, G., Petti, R., Picchi, P., Pickering, L., Pietropaolo, F., Pillow, J., Plonski, P., Plunkett, R., Poling, R., Pons, X., Poonthottathil, N., Popovic, M., Pordes, R., Pordes, S., Potekhin, M., Potenza, R., Potukuchi, B., Poudel, S., Pozimski, J., Pozzato, M., Prakasj, T., Preece, R., Prokofiev, O., Pruthi, N., Przewlocki, P., Psihas, F., PugnËre, D., Pushka, D., Qi, K., Qian, X., Raaf, J. L., Raboanary, R., Radeka, V., Rademacker, J., Radescu, V., Radics, B., Radovic, A., Rafique, A., Rajaoalisoa, M., Rakhno, I., Rakotondramanana, H. T., Rakotondravohitra, L., Ramachers, Y. A., Rameika, R. A., Delgado, M. A. Ramirez, Ramsey, J., Ramson, B. J., Rappoldi, A., Raselli, G. L., Ratoff, P., Ravat, S., Ravinez, O., Razafinime, H., Rebel, B., Redondo, D., Regenfus, C., Reggiani-Guzzo, M., Rehak, T., Reichenbacher, J., Reitzner, D., Reno, M. H., Renshaw, A., Rescia, S., Resnati, F., Reynolds, A., Riccobene, G., Rice, L. C. J., Rielage, K., Riesselmann, K., Rigaut, Y. -A., Rivera, D., Rochester, L., Roda, M., Rodrigues, P., Alonso, M. J. Rodriguez, Roe, B., Roeth, A. J., Roser, R. M., Ross-Lonergan, M., Rossella, M., Rout, J., Roy, S., Rubbia, A., Rubbia, C., Rucinski, R., Russell, B., Russell, J., Ruterbories, D., Vagins, M. R., Saakyan, R., Sahu, N., Sala, P., Salukvadze, G., Samios, N., Sanchez, F., Sanchez, M. C., Sandoval, C., Sands, B., Sankar, S. U., Santana, S., Santos, L. M., Santucci, G., Saoulidou, N., Sapienza, P., Sarasty, C., Sarcevic, I., Savage, G., Scaramelli, A., Scarpelli, A., Schaffer, T., Schellman, H., Schlabach, P., Schloesser, C. M., Schmitz, D. W., Schneps, J., Scholberg, K., Schukraft, A., Segreto, E., Sehrawat, S., Sensenig, J., Seong, I., Sepulveda-Quiroz, J. A., Sergi, A., Sergiampietri, F., Sessumes, D., Sexton, K., Sexton-Kennedy, L., Sgalaberna, D., Shaevitz, M. H., Shafaq, S., Shahi, J. S., Shahsavarani, S., Shanahan, P., Sharma, H. R., Sharma, R., Sharma, R. K., Shaw, T., Shin, S., Shoemaker, I., Shooltz, D., Shrock, R., Simos, N., Sinclair, J., Sinev, G., Singh, V., Singh, J., Singh, I., Sipos, R., Sippach, F. W., Sirri, G., Siyeon, K., Smargianaki, D., Smith, A., Smith, E., Smith, P., Smolik, J., Smy, M., Snider, E. L., Snopok, P., Sobczyk, J., Sobel, H., Soderberg, M., Salinas, C. J. Solano, Söldner-Rembold, S., Solomey, N., Sondheim, W., Sorel, M., Soto-Oton, J. A., Sousa, A., Soustruznik, K., Spagliardi, F., Spanu, M., Spitz, J., Spooner, N. J. C., Staley, R., Stancari, M., Stanco, L., Stefanik, A., Steiner, H. M., Stewart, J., Stock, J., Stocker, F., Stoica, S., Stone, J., Strait, J., Strait, M., Strauss, T., Striganov, S., Stuart, A., Sullivan, G., Sultana, M., Sun, Y., Surdo, A., Susic, V., Suter, L., Sutera, C. M., Svoboda, R., Szczerbinska, B., Szelc, A. M., Tagg, N., Talaga, R., Tanaka, H., Oregui, B. Tapia, Tariq, S., Tatar, E., Tayloe, R., Tenti, M., Terao, K., Ternes, C. A., Terranova, F., Testera, G., Thea, A., Thompson, L. F., Thompson, J., Thorn, C., Timilsina, A., Timm, S. C., Todd, J., Tonazzo, A., Tope, T., Torbunov, D., Torti, M., Tórtola, M., Tortorici, F., Toups, M., Touramanis, C., Trevor, J., Tripathi, M., Tromeur, W., Tropin, I., Trzaska, W. H., Tsai, Y. -T., Tsang, K. V., Tsaris, A., Tufanli, S., Tull, C., Turner, J., Tzanov, M., Tziaferi, E., Uchida, Y., Urheim, J., Usher, T., Valdiviesso, G. A., Valencia, E., Valerio, L., Vallari, Z., Valle, J. W. F., Van Berg, R., Van de Water, R., Varanini, F., Varner, G., Vasel, J., Vasseur, G., Vaziri, K., Velev, G., Ventura, S., Verdugo, A., Vermeulen, M., Vernon, E., Verzocchi, M., Viant, T., Vignoli, C., Vihonen, S., Vilela, C., Viren, B., Vokac, P., Vrba, T., Wachala, T., Wahl, D., Wallbank, M., Wang, H., Wang, J., Wang, T. -C., Wang, B., Wang, Y., Wang, Z., Warburton, K., Warner, D., Wascko, M. O., Waters, D., Watson, A., Weber, A., Weber, M., Wei, H., Wei, W., Weinstein, A., Wenman, D., Wetstein, M., While, M., White, A., Whitehead, L. H., Whittington, D., Wierman, K., Wilking, M., Wilkinson, C., Willhite, J., Williams, Z., Wilson, R. J., Wilson, P., Wittich, P., Wolcott, J., Wongjirad, T., Wood, K., Wood, L., Worcester, E., Worcester, M., Wu, S., Wu, W., Xu, W., Yanagisawa, C., Yang, S., Yang, T., Yang, G., Ye, J., Yeh, M., Yershov, N., Yonehara, K., Yoshimura, L., Yu, B., Yu, J., Zalesak, J., Zambelli, L., Zamorano, B., Zani, A., Zaremba, K., Zazueta, L., Zeller, G. P., Zennamo, J., Zhang, C., Zhao, M., Zhou, Y. -L., Zhu, G., Zimmerman, E. D., Zito, M., Zucchelli, S., Zuklin, J., Zutshi, V., and Zwaska, R.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The DUNE IDR describes the proposed physics program and technical designs of the DUNE far detector modules in preparation for the full TDR to be published in 2019. It is intended as an intermediate milestone on the path to a full TDR, justifying the technical choices that flow down from the high-level physics goals through requirements at all levels of the Project. These design choices will enable the DUNE experiment to make the ground-breaking discoveries that will help to answer fundamental physics questions. Volume 3 describes the dual-phase module's subsystems, the technical coordination required for its design, construction, installation, and integration, and its organizational structure., Comment: 280 pages, 109 figures. arXiv admin note: text overlap with arXiv:1807.10327
Published: 2018

29. The DUNE Far Detector Interim Design Report Volume 1: Physics, Technology and Strategies

Author: DUNE Collaboration, Abi, B., Acciarri, R., Acero, M. A., Adamowski, M., Adams, C., Adams, D., Adamson, P., Adinolfi, M., Ahmad, Z., Albright, C. H., Soplin, L. Aliaga, Alion, T., Monsalve, S. Alonso, Alrashed, M., Alt, C., Anderson, J., Anderson, K., Andreopoulos, C., Andrews, M. P., Andrews, R. A., Ankowski, A., Anthony, J., Antonello, M., Antonova, M., Antusch, S., Fernandez, A. Aranda, Ariga, A., Ariga, T., Sierra, D. Aristizabal, Diaz, E. Arrieta, Asaadi, J., Ascencio, M., Asner, D., Athar, M. S., Auger, M., Aurisano, A., Aushev, V., Autiero, D., Azfar, F., Back, A., Back, H., Back, J., Backhouse, C., Baesso, P., Bagby, L., Bai, X., Baird, M., Balantekin, B., Balasubramanian, S., Baller, B., Ballett, P., Balleyguier, L., Bambah, B., Band, H., Bansal, M., Bansal, S., Barenboim, G., Barker, G. J., Barnes, C., Barr, G., Monarca, J. Barranco, Barros, N., Barrow, J., Bashyal, A., Basque, V., Bass, M., Bay, F., Bays, K., Bazo, J. L., Beacom, J. F., Bechetoille, E., Behera, B. R., Bellantoni, L., Bellettini, G., Bellini, V., Beltramello, O., Belver, D., Benekos, N., Benetti, P. A., Bercellie, A., Berman, E., Bernardini, P., Berner, R., Berns, H. G., Bernstein, R. H., Bertolucci, S., Betancourt, M., Bhatnagar, V., Bhattacharjee, M., Bhuyan, B., Biagi, S., Bian, J., Biery, K., Bilki, B., Bishai, M., Bitadze, A., Blackburn, T., Blake, A., Siffert, B. Blanco, Blaszczyk, F., Blaufuss, E., Blazey, G. C., Blennow, M., Blucher, E., Bocean, V., Boffelli, F., Boissevain, J., Bolognesi, S., Bolton, T., Bonesini, M., Boone, T., Booth, A., Booth, C., Bordoni, S., Borkum, A., Boschi, T., Bour, P., Bourguille, B., Boyd, S. B., Boyden, D., Bracinik, J., Brailsford, D., Brandt, A., Bremer, J., Brice, S. J., Bromberg, C., Brooijmans, G., Brooke, J., Brown, G., Buchanan, N., Budd, H., de Holanda, P. C., Cai, T., Caiulo, D., Calafiura, P., Calatayud, A., Calcutt, J., Callahan, C., Calligarich, E., Calvo, E., Camilleri, L., Caminata, A., Campanelli, M., Cancelo, G., Cankocak, K., Cantini, C., Caratelli, D., Carlus, B., Carneiro, M., Terrazas, I. Caro, Carroll, T. J., Carvallo, M. P., Cascella, M., Castromonte, C., Catano-Mur, E., Cavalli-Sforza, M., Cavanna, F., Cazzato, E., Centro, S., Cerati, G., Cervelli, A., Villanueva, A. Cervera, Cervi, T., Chalifour, M., Chappuis, A., Chatterjee, A., Chattopadhyay, S., Chaves, J., Chen, H., Chen, M. -C., Chen, S., Cherdack, D., Chi, C. -Y., Childress, S., Cho, K., Choubey, S., Choudhary, B. C., Christensen, A., Christian, D., Christodoulou, G., Christofferson, C. -A., Church, E., Clarke, P., Coan, T. E., Cocco, A., Collin, G. H., Conley, E., Conrad, J. M., Convery, M., Corey, R., Corwin, L., Cotte, P., Cremonesi, L., Crespo-Anadón, J. I., Prats, J. Creus, Cristaldo, E., Crivelli, P., Cronin-Hennessy, D., Crowley, C., Cuesta, C., Curioni, A., Cussans, D., Dabrowski, M., Dale, D., Da Motta, H., Davenne, T., Davenport, E., Davies, G. S., Davies, J., Davini, S., Dawson, J., De, K., Decowski, M. P., Neto, P. Dedin, Astiz, I. de Icaza, Delbart, A., Delepine, D., Delgado, M., Dell, A., Neto, J. de Mello, DeMuth, D., Deng, Z., Dennis, S., Densham, C., De Bonis, I., De Gouvêa, A., De Jong, P., De Lurgio, P., De Rijck, S., De Roeck, A., de Vries, J. J., Dharmapalan, R., Dhingra, N., Diamantopoulou, M., Diaz, F., Díaz, J. S., Bautista, G. Diaz, Ding, P., Distefano, C., Diwan, M., Di Domizio, S., Di Giulio, L., Di Luise, S., Djurcic, Z., Doizon, F., Dokania, N., Dolinski, M. J., Dong, R., Anjos, J. dos, Douglas, D., Drake, G., Duchesneau, D., Duffy, K., Dung, B., Dutta, D., Duvernois, M., Duyang, H., Dvornikov, O., Dwyer, D. A., Dye, S., Dyshkant, A. S., Dytman, S., Eads, M., Eberly, B., Edmunds, D., Eisch, J., Elagin, A., Elliott, S., Ellsworth, W., Elnimr, M., Emery, S., Eno, S., Ereditato, A., Escobar, C. O., Sanchez, L. Escudero, Evans, J. J., Ezeribe, A., Fahey, K., Falcone, A., Falk, L., Farbin, A., Farnese, C., Farzan, Y., Fasoli, M., Fava, A., Felix, J., Fernandez-Martinez, E., Menendez, P. Fernandez, Ferraro, F., Feyzi, F., Fields, L., Filkins, A., Filthaut, F., Finch, A., Fischer, O., Fitton, M., Fitzpatrick, R., Flanagan, W., Fleming, B. T., Flight, R., Forest, T., Fowler, J., Fox, W., Franc, J., Francis, K., Franchini, P., Franco, D., Freeman, J., Freestone, J., Fried, J., Friedland, A., Fuess, S., Furic, I., Furmanski, A., Gago, A. M., Gallagher, H., Gallego-Ros, A., Galymov, V., Gamberini, E., Gambetta, S., Gamble, T., Gandhi, R., Gandrajula, R., Gao, S., Garcia-Gamez, D., Gardiner, S., Gastler, D., Gehrlein, J., Gelli, B., Gendotti, A., Ghorbani-Moghaddam, Z., Ghosh, A., Gibin, D., Gil-Botella, I., Girerd, C., Giri, A. K., Glavin, S., Goeldi, D., Gogota, O., Gold, M., Gollapinni, S., Gollwitzer, K., Gomes, R. A., Gomez, L., Bermeo, L. V. Gomez, Cadenas, J. J. Gomez, Gong, H., Gonnella, F., Gonzalez-Cuevas, J. A., Goodman, M., Goodwin, O., Gorbunov, D., Goswami, S., Goudzovski, E., Grace, C., Graf, N., Graham, M., Gramellini, E., Gran, R., Grant, A., Grant, C., Grant, N., Greco, V., Green, S., Greenlee, H., Greenler, L., Greenwood, M., Greer, J., Griffith, W. C., Groh, M., Grudzinski, J., Grzelak, K., Guanghua, G., Guardincerri, E., Guarino, V., Guedes, G. P., Guenette, R., Guglielmi, A., Guo, B., Gupta, S., Gupta, V., Guthikonda, K. K., Gutierrez, R., Guzowski, P., Guzzo, M. M., Habig, A., Hackenburg, R. W., Hackenburg, A., Hackett, B., Hadavand, H., Haenni, R., Hahn, A., Haigh, J., Haines, T., Haiston, J., Hamernik, T., Hamilton, P., Han, J., Handler, T., Hans, S., Harris, D. A., Hartnell, J., Hasegawa, T., Hatcher, R., Hatzikoutelis, A., Hays, S., Hazen, E., Headley, M., Heavey, A., Heegerv, K., Heise, J., Hennessy, K., Henry, S., Hernandez, A., Hernandez-Garcia, J., Herner, K., Hewes, V, Hignight, J., Higuera, A., Hill, T., Hillier, S., Himmel, A., Hohl, C., Holin, A., Hoppe, E., Horikawa, S., Horton-Smith, G., Hostert, M., Hourlier, A., Howard, B., Howell, R., Huang, J., Hugon, J., Hurh, P., Hylen, J., Illingworth, R., Insler, J., Introzzi, G., Ioannisian, A., Izmaylov, A., Jaffe, D. E., James, C., James, E., Jang, C. -H., Jediny, F., Jeong, Y. S., Jhingan, A., Ji, W., Jipa, A., Jiménez, S., Johnson, C., Johnson, M., Johnson, R., Johnstone, J., Jones, B., Jones, S., Joshi, J., Jostlein, H., Jung, C. K., Junk, T., Kaboth, A., Kadenko, I., Kamiya, F., Kamyshkov, Y., Karagiorgi, G., Karasavvas, D., Karyotakis, Y., Kasai, S., Kasetti, S., Kaur, K., Kayser, B., Kazaryan, N., Kearns, E., Keener, P., Kemp, E., Kendziora, C., Ketchum, W., Kettell, S. H., Khabibullin, M., Khotjantsev, A., Kim, D., Kirby, B., Kirby, M., Klein, J., Ko, Y. -J., Kobilarcik, T., Kocaman, B., Koerner, L. W., Kohn, S., Koizumi, G., Koller, P., Kopylov, A., Kordosky, M., Kormos, L., Kosc, T., Kose, U., Kostelecký, V. A., Kothekar, K., Kramer, M., Krennrich, F., Kreslo, I., Kriesel, K., Kropp, W., Kudenko, Y., Kudryavtsev, V. A., Kulagin, S., Kumar, J., Kumar, L., Kumar, A., Kumbhare, S., Kuruppu, C., Kus, V., Kutter, T., LaZur, R., Lande, K., Lane, C., Lang, K., Langford, T., Lanni, F., Lasorak, P., Last, D., Lastoria, C., Laundrie, A., Lazanu, I., Le, T., Learned, J., Lebrun, P., Lee, D., Miotto, G. Lehmann, de Oliveira, M. A. Leigui, Li, Q., Li, S., Li, S. 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P., Zennamo, J., Zhang, C., Zhao, M., Zhou, Y. -L., Zhu, G., Zimmerman, E. D., Zito, M., Zucchelli, S., Zuklin, J., Zutshi, V., and Zwaska, R.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The DUNE IDR describes the proposed physics program and technical designs of the DUNE Far Detector modules in preparation for the full TDR to be published in 2019. It is intended as an intermediate milestone on the path to a full TDR, justifying the technical choices that flow down from the high-level physics goals through requirements at all levels of the Project. These design choices will enable the DUNE experiment to make the ground-breaking discoveries that will help to answer fundamental physics questions. Volume 1 contains an executive summary that describes the general aims of this document. The remainder of this first volume provides a more detailed description of the DUNE physics program that drives the choice of detector technologies. It also includes concise outlines of two overarching systems that have not yet evolved to consortium structures: computing and calibration. Volumes 2 and 3 of this IDR describe, for the single-phase and dual-phase technologies, respectively, each detector module's subsystems, the technical coordination required for its design, construction, installation, and integration, and its organizational structure., Comment: 83 pages, 11 figures
Published: 2018

30. The DUNE Far Detector Interim Design Report, Volume 2: Single-Phase Module

Author: DUNE Collaboration, Abi, B., Acciarri, R., Acero, M. A., Adamowski, M., Adams, C., Adams, D., Adamson, P., Adinolfi, M., Ahmad, Z., Albright, C. H., Soplin, L. Aliaga, Alion, T., Monsalve, S. Alonso, Alrashed, M., Alt, C., Anderson, J., Anderson, K., Andreopoulos, C., Andrews, M. P., Andrews, R. A., Ankowski, A., Anthony, J., Antonello, M., Antonova, M., Antusch, S., Fernandez, A. Aranda, Ariga, A., Ariga, T., Sierra, D. Aristizabal, Diaz, E. Arrieta, Asaadi, J., Ascencio, M., Asner, D., Athar, M. S., Auger, M., Aurisano, A., Aushev, V., Autiero, D., Azfar, F., Back, A., Back, H., Back, J., Backhouse, C., Baesso, P., Bagby, L., Bai, X., Baird, M., Balantekin, B., Balasubramanian, S., Baller, B., Ballett, P., Balleyguier, L., Bambah, B., Band, H., Bansal, M., Bansal, S., Barenboim, G., Barker, G. J., Barnes, C., Barr, G., Monarca, J. Barranco, Barros, N., Barrow, J., Bashyal, A., Basque, V., Bass, M., Bay, F., Bays, K., Bazo, J. L., Beacom, J. F., Bechetoille, E., Behera, B. R., Bellantoni, L., Bellettini, G., Bellini, V., Beltramello, O., Belver, D., Benekos, N., Benetti, P. A., Bercellie, A., Berman, E., Bernardini, P., Berner, R., Berns, H. G., Bernstein, R. H., Bertolucci, S., Betancourt, M., Bhatnagar, V., Bhattacharjee, M., Bhuyan, B., Biagi, S., Bian, J., Biery, K., Bilki, B., Bishai, M., Bitadze, A., Blackburn, T., Blake, A., Siffert, B. Blanco, Blaszczyk, F., Blaufuss, E., Blazey, G. C., Blennow, M., Blucher, E., Bocean, V., Boffelli, F., Boissevain, J., Bolognesi, S., Bolton, T., Bonesini, M., Boone, T., Booth, A., Booth, C., Bordoni, S., Borkum, A., Boschi, T., Bour, P., Bourguille, B., Boyd, S. B., Boyden, D., Bracinik, J., Brailsford, D., Brandt, A., Bremer, J., Brice, S. J., Bromberg, C., Brooijmans, G., Brooke, J., Brown, G., Buchanan, N., Budd, H., de Holanda, P. C., Cai, T., Caiulo, D., Calafiura, P., Calatayud, A., Calcutt, J., Callahan, C., Calligarich, E., Calvo, E., Camilleri, L., Caminata, A., Campanelli, M., Cancelo, G., Cankocak, K., Cantini, C., Caratelli, D., Carlus, B., Carneiro, M., Terrazas, I. Caro, Carroll, T. J., Carvallo, M. P., Cascella, M., Castromonte, C., Catano-Mur, E., Cavalli-Sforza, M., Cavanna, F., Cazzato, E., Centro, S., Cerati, G., Cervelli, A., Villanueva, A. Cervera, Cervi, T., Chalifour, M., Chappuis, A., Chatterjee, A., Chattopadhyay, S., Chaves, J., Chen, H., Chen, M. -C., Chen, S., Cherdack, D., Chi, C. -Y., Childress, S., Cho, K., Choubey, S., Choudhary, B. C., Christensen, A., Christian, D., Christodoulou, G., Christofferson, C. -A., Church, E., Clarke, P., Coan, T. E., Cocco, A., Collin, G. H., Conley, E., Conrad, J. M., Convery, M., Corey, R., Corwin, L., Cotte, P., Cremonesi, L., Crespo-Anadón, J. I., Prats, J. Creus, Cristaldo, E., Crivelli, P., Cronin-Hennessy, D., Crowley, C., Cuesta, C., Curioni, A., Cussans, D., Dabrowski, M., Dale, D., Da Motta, H., Davenne, T., Davenport, E., Davies, G. S., Davies, J., Davini, S., Dawson, J., De, K., Decowski, M. P., Neto, P. Dedin, Astiz, I. de Icaza, Delbart, A., Delepine, D., Delgado, M., Dell, A., Neto, J. de Mello, DeMuth, D., Deng, Z., Dennis, S., Densham, C., De Bonis, I., De Gouvêa, A., De Jong, P., De Lurgio, P., De Rijck, S., De Roeck, A., de Vries, J. J., Dharmapalan, R., Dhingra, N., Diamantopoulou, M., Diaz, F., Díaz, J. S., Bautista, G. Diaz, Ding, P., Distefano, C., Diwan, M., Di Domizio, S., Di Giulio, L., Di Luise, S., Djurcic, Z., Doizon, F., Dokania, N., Dolinski, M. J., Dong, R., Anjos, J. dos, Douglas, D., Drake, G., Duchesneau, D., Duffy, K., Dung, B., Dutta, D., Duvernois, M., Duyang, H., Dvornikov, O., Dwyer, D. A., Dye, S., Dyshkant, A. S., Dytman, S., Eads, M., Eberly, B., Edmunds, D., Eisch, J., Elagin, A., Elliott, S., Ellsworth, W., Elnimr, M., Emery, S., Eno, S., Ereditato, A., Escobar, C. O., Sanchez, L. Escudero, Evans, J. J., Ezeribe, A., Fahey, K., Falcone, A., Falk, L., Farbin, A., Farnese, C., Farzan, Y., Fasoli, M., Fava, A., Felix, J., Fernandez-Martinez, E., Menendez, P. Fernandez, Ferraro, F., Feyzi, F., Fields, L., Filkins, A., Filthaut, F., Finch, A., Fischer, O., Fitton, M., Fitzpatrick, R., Flanagan, W., Fleming, B. T., Flight, R., Forest, T., Fowler, J., Fox, W., Franc, J., Francis, K., Franchini, P., Franco, D., Freeman, J., Freestone, J., Fried, J., Friedland, A., Fuess, S., Furic, I., Furmanski, A., Gago, A. M., Gallagher, H., Gallego-Ros, A., Galymov, V., Gamberini, E., Gambetta, S., Gamble, T., Gandhi, R., Gandrajula, R., Gao, S., Garcia-Gamez, D., Gardiner, S., Gastler, D., Gehrlein, J., Gelli, B., Gendotti, A., Ghorbani-Moghaddam, Z., Ghosh, A., Gibin, D., Gil-Botella, I., Girerd, C., Giri, A. K., Glavin, S., Goeldi, D., Gogota, O., Gold, M., Gollapinni, S., Gollwitzer, K., Gomes, R. A., Gomez, L., Bermeo, L. V. Gomez, Cadenas, J. J. Gomez, Gong, H., Gonnella, F., Gonzalez-Cuevas, J. A., Goodman, M., Goodwin, O., Gorbunov, D., Goswami, S., Goudzovski, E., Grace, C., Graf, N., Graham, M., Gramellini, E., Gran, R., Grant, A., Grant, C., Grant, N., Greco, V., Green, S., Greenlee, H., Greenler, L., Greenwood, M., Greer, J., Griffith, W. C., Groh, M., Grudzinski, J., Grzelak, K., Guanghua, G., Guardincerri, E., Guarino, V., Guedes, G. P., Guenette, R., Guglielmi, A., Guo, B., Gupta, S., Gupta, V., Guthikonda, K. K., Gutierrez, R., Guzowski, P., Guzzo, M. M., Habig, A., Hackenburg, R. W., Hackenburg, A., Hackett, B., Hadavand, H., Haenni, R., Hahn, A., Haigh, J., Haines, T., Haiston, J., Hamernik, T., Hamilton, P., Han, J., Handler, T., Hans, S., Harris, D. A., Hartnell, J., Hasegawa, T., Hatcher, R., Hatzikoutelis, A., Hays, S., Hazen, E., Headley, M., Heavey, A., Heegerv, K., Heise, J., Hennessy, K., Henry, S., Hernandez, A., Hernandez-Garcia, J., Herner, K., Hewes, V, Hignight, J., Higuera, A., Hill, T., Hillier, S., Himmel, A., Hohl, C., Holin, A., Hoppe, E., Horikawa, S., Horton-Smith, G., Hostert, M., Hourlier, A., Howard, B., Howell, R., Huang, J., Hugon, J., Hurh, P., Hylen, J., Illingworth, R., Insler, J., Introzzi, G., Ioannisian, A., Izmaylov, A., Jaffe, D. E., James, C., James, E., Jang, C. -H., Jediny, F., Jeong, Y. S., Jhingan, A., Ji, W., Jipa, A., Jiménez, S., Johnson, C., Johnson, M., Johnson, R., Johnstone, J., Jones, B., Jones, S., Joshi, J., Jostlein, H., Jung, C. K., Junk, T., Kaboth, A., Kadenko, I., Kamiya, F., Kamyshkov, Y., Karagiorgi, G., Karasavvas, D., Karyotakis, Y., Kasai, S., Kasetti, S., Kaur, K., Kayser, B., Kazaryan, N., Kearns, E., Keener, P., Kemp, E., Kendziora, C., Ketchum, W., Kettell, S. H., Khabibullin, M., Khotjantsev, A., Kim, D., Kirby, B., Kirby, M., Klein, J., Ko, Y. -J., Kobilarcik, T., Kocaman, B., Koerner, L. W., Kohn, S., Koizumi, G., Koller, P., Kopylov, A., Kordosky, M., Kormos, L., Kosc, T., Kose, U., Kostelecký, V. A., Kothekar, K., Kramer, M., Krennrich, F., Kreslo, I., Kriesel, K., Kropp, W., Kudenko, Y., Kudryavtsev, V. A., Kulagin, S., Kumar, J., Kumar, L., Kumar, A., Kumbhare, S., Kuruppu, C., Kus, V., Kutter, T., LaZur, R., Lande, K., Lane, C., Lang, K., Langford, T., Lanni, F., Lasorak, P., Last, D., Lastoria, C., Laundrie, A., Lazanu, I., Le, T., Learned, J., Lebrun, P., Lee, D., Miotto, G. Lehmann, de Oliveira, M. A. Leigui, Li, Q., Li, S., Li, S. W., Li, X., Li, Y., Li, Z., Liao, H. -Y., Lin, S. -K., Lin, C-J. S., Linehan, R., Linhart, V., Link, J., Liptak, Z., Lissauer, D., Littenberg, L., Littlejohn, B., Liu, J., Liu, T., LoMonaco, L., LoSecco, J. M., Lockwitz, S., Lockyer, N., Loew, T., Lokajicek, M., Long, K., Loo, K., Lopez, J. P., Lorca, D., Lord, T., Losada, M., Louis, W. C., Luethi, M., Luk, K. -B., Lundin, T., Luo, X., Lurkin, N., Lux, T., Luzio, V. P., Lykken, J., Maalampi, J., MacLellan, R., Machado, A. A., Machado, P., Macias, C. T., Macier, J., Madigan, P., Magill, S., Mahler, G., Mahn, K., Malek, M., Maloney, J. A., Mammoliti, F., Mandal, S. K., Mandrioli, G., Manenti, L., Manly, S., Mann, A., Marchionni, A., Marciano, W., Marcocci, S., Marfatia, D., Mariani, C., Maricic, J., Marinho, F., Marino, A. D., Marshak, M., Marshall, C., Marshall, J., Marteau, J., Martin-Albo, J., Martinez, D., Martinez, N., Martinez, H., Mason, K., Mastbaum, A., Masud, M., Mathez, H., Matsuno, S., Matthews, J., Mauger, C., Mauri, N., Mavrokoridis, K., Mazza, R., Mazzacane, A., Mazzucato, E., McCauley, N., McCluskey, E., McConkey, N., McDonald, K., McFarland, K. S., McGivern, C., McGowan, A., McGrew, C., McKeown, R., McNab, A., McNulty, D., McTaggart, R., Meddage, V., Mefodiev, A., Mehta, P., Mei, D., Mena, O., Menary, S., Mendez, H., Mendez, D. P., Menegolli, A., Meng, G., Messier, M., Metcalf, W., Mewes, M., Meyer, H., Miao, T., Migenda, J., Milincic, R., Miller, J., Miller, W., Mills, J., Milne, C., Mineev, O., Miranda, O., Mishra, C. S., Mishra, S. R., Mislivec, A., Mitrica, B., Mladenov, D., Mocioiu, I., Moffat, K., Moggi, N., Mohanta, R., Mokhov, N., Molina, J., Bueno, L. Molina, Montanari, A., Montanari, C., Montanari, D., Zetina, L. Montano, Moon, J., Mooney, M., Moore, C., Moreno, D., Morgan, B., Moroni, G. F., Morris, C., Morse, W., Mossey, C., Moura, C. A., Mousseau, J., Mualem, L., Muether, M., Mufson, S., Muheim, F., Muramatsu, H., Murphy, S., Musser, J., Nachtman, J., Nalbandyan, M., Nandakumar, R., Naples, D., Narita, S., Navarro, G., Navarro, J., Navas-Nicolás, D., Nayak, N., Nebot-Guinot, M., Needham, M., Negishi, K., Nelson, J., Nessi, M., Newbold, D., Newcomer, M., Nichol, R., Nicholls, T. C., Niner, E., Norman, A., Norris, B., Norris, J., Novella, P., Nowak, E., Nowak, J., Nunes, M. S., O'Keeffe, H., Oberling, M., Del Campo, A. Olivares, Olivier, A., Onel, Y., Onishchuk, Y., Ovsjannikova, T., Ozturk, S., Pagani, L., Pakvasa, S., Palamara, O., Paley, J., Pallavicini, M., Palomares, C., Palomino, J., Pantic, E., Paolo, A., Paolone, V., Papadimitriou, V., Papaleo, R., Paramesvaran, S., Park, J., Parke, S., Parsa, Z., Pascoli, S., Pasternak, J., Pater, J., Patrizii, L., Patterson, R. B., Patton, S. J., Patzak, T., Paudel, A., Paulos, B., Paulucci, L., Pavlovic, Z., Pawloski, G., Payam, P., Payne, D., Pec, V., Peeters, S. J. M., Pennacchio, E., Penzo, A., Perdue, G. N., Peres, O. l. G., Periale, L., Petridis, K., Petrillo, G., Petti, R., Picchi, P., Pickering, L., Pietropaolo, F., Pillow, J., Plonski, P., Plunkett, R., Poling, R., Pons, X., Poonthottathil, N., Popovic, M., Pordes, R., Pordes, S., Potekhin, M., Potenza, R., Potukuchi, B., Poudel, S., Pozimski, J., Pozzato, M., Prakasj, T., Preece, R., Prokofiev, O., Pruthi, N., Przewlocki, P., Psihas, F., PugnËre, D., Pushka, D., Qi, K., Qian, X., Raaf, J. L., Raboanary, R., Radeka, V., Rademacker, J., Radescu, V., Radics, B., Radovic, A., Rafique, A., Rajaoalisoa, M., Rakhno, I., Rakotondramanana, H. T., Rakotondravohitra, L., Ramachers, Y. A., Rameika, R. A., Delgado, M. A. Ramirez, Ramsey, J., Ramson, B. J., Rappoldi, A., Raselli, G. L., Ratoff, P., Ravat, S., Ravinez, O., Razafinime, H., Rebel, B., Redondo, D., Regenfus, C., Reggiani-Guzzo, M., Rehak, T., Reichenbacher, J., Reitzner, D., Reno, M. H., Renshaw, A., Rescia, S., Resnati, F., Reynolds, A., Riccobene, G., Rice, L. C. J., Rielage, K., Riesselmann, K., Rigaut, Y. -A., Rivera, D., Rochester, L., Roda, M., Rodrigues, P., Alonso, M. J. Rodriguez, Roe, B., Roeth, A. J., Roser, R. M., Ross-Lonergan, M., Rossella, M., Rout, J., Roy, S., Rubbia, A., Rubbia, C., Rucinski, R., Russell, B., Russell, J., Ruterbories, D., Vagins, M. R., Saakyan, R., Sahu, N., Sala, P., Salukvadze, G., Samios, N., Sanchez, F., Sanchez, M. C., Sandoval, C., Sands, B., Sankar, S. U., Santana, S., Santos, L. M., Santucci, G., Saoulidou, N., Sapienza, P., Sarasty, C., Sarcevic, I., Savage, G., Scaramelli, A., Scarpelli, A., Schaffer, T., Schellman, H., Schlabach, P., Schloesser, C. M., Schmitz, D. W., Schneps, J., Scholberg, K., Schukraft, A., Segreto, E., Sehrawat, S., Sensenig, J., Seong, I., Sepulveda-Quiroz, J. A., Sergi, A., Sergiampietri, F., Sessumes, D., Sexton, K., Sexton-Kennedy, L., Sgalaberna, D., Shaevitz, M. H., Shafaq, S., Shahi, J. S., Shahsavarani, S., Shanahan, P., Sharma, H. R., Sharma, R., Sharma, R. K., Shaw, T., Shin, S., Shoemaker, I., Shooltz, D., Shrock, R., Simos, N., Sinclair, J., Sinev, G., Singh, V., Singh, J., Singh, I., Sipos, R., Sippach, F. W., Sirri, G., Siyeon, K., Smargianaki, D., Smith, A., Smith, E., Smith, P., Smolik, J., Smy, M., Snider, E. L., Snopok, P., Sobczyk, J., Sobel, H., Soderberg, M., Salinas, C. J. Solano, Söldner-Rembold, S., Solomey, N., Sondheim, W., Sorel, M., Soto-Oton, J. A., Sousa, A., Soustruznik, K., Spagliardi, F., Spanu, M., Spitz, J., Spooner, N. J. C., Staley, R., Stancari, M., Stanco, L., Stefanik, A., Steiner, H. M., Stewart, J., Stock, J., Stocker, F., Stoica, S., Stone, J., Strait, J., Strait, M., Strauss, T., Striganov, S., Stuart, A., Sullivan, G., Sultana, M., Sun, Y., Surdo, A., Susic, V., Suter, L., Sutera, C. M., Svoboda, R., Szczerbinska, B., Szelc, A. M., Tagg, N., Talaga, R., Tanaka, H., Oregui, B. Tapia, Tariq, S., Tatar, E., Tayloe, R., Tenti, M., Terao, K., Ternes, C. A., Terranova, F., Testera, G., Thea, A., Thompson, L. F., Thompson, J., Thorn, C., Timilsina, A., Timm, S. C., Todd, J., Tonazzo, A., Tope, T., Torbunov, D., Torti, M., Tórtola, M., Tortorici, F., Toups, M., Touramanis, C., Trevor, J., Tripathi, M., Tromeur, W., Tropin, I., Trzaska, W. H., Tsai, Y. -T., Tsang, K. V., Tsaris, A., Tufanli, S., Tull, C., Turner, J., Tzanov, M., Tziaferi, E., Uchida, Y., Urheim, J., Usher, T., Valdiviesso, G. A., Valencia, E., Valerio, L., Vallari, Z., Valle, J. W. F., Van Berg, R., Van de Water, R., Varanini, F., Varner, G., Vasel, J., Vasseur, G., Vaziri, K., Velev, G., Ventura, S., Verdugo, A., Vermeulen, M., Vernon, E., Verzocchi, M., Viant, T., Vignoli, C., Vihonen, S., Vilela, C., Viren, B., Vokac, P., Vrba, T., Wachala, T., Wahl, D., Wallbank, M., Wang, H., Wang, J., Wang, T. -C., Wang, B., Wang, Y., Wang, Z., Warburton, K., Warner, D., Wascko, M. O., Waters, D., Watson, A., Weber, A., Weber, M., Wei, H., Wei, W., Weinstein, A., Wenman, D., Wetstein, M., While, M., White, A., Whitehead, L. H., Whittington, D., Wierman, K., Wilking, M., Wilkinson, C., Willhite, J., Williams, Z., Wilson, R. J., Wilson, P., Wittich, P., Wolcott, J., Wongjirad, T., Wood, K., Wood, L., Worcester, E., Worcester, M., Wu, S., Wu, W., Xu, W., Yanagisawa, C., Yang, S., Yang, T., Yang, G., Ye, J., Yeh, M., Yershov, N., Yonehara, K., Yoshimura, L., Yu, B., Yu, J., Zalesak, J., Zambelli, L., Zamorano, B., Zani, A., Zaremba, K., Zazueta, L., Zeller, G. P., Zennamo, J., Zhang, C., Zhao, M., Zhou, Y. -L., Zhu, G., Zimmerman, E. D., Zito, M., Zucchelli, S., Zuklin, J., Zutshi, V., and Zwaska, R.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The DUNE IDR describes the proposed physics program and technical designs of the DUNE far detector modules in preparation for the full TDR to be published in 2019. It is intended as an intermediate milestone on the path to a full TDR, justifying the technical choices that flow down from the high-level physics goals through requirements at all levels of the Project. These design choices will enable the DUNE experiment to make the ground-breaking discoveries that will help to answer fundamental physics questions. Volume 2 describes the single-phase module's subsystems, the technical coordination required for its design, construction, installation, and integration, and its organizational structure., Comment: 324 pages, 130 figures. arXiv admin note: text overlap with arXiv:1807.10340
Published: 2018

31. Is every strong lens model unhappy in its own way? Uniform modelling of a sample of 13 quadruply+ imaged quasars

Author: Shajib, A. J., Birrer, S., Treu, T., Auger, M. W., Agnello, A., Anguita, T., Buckley-Geer, E. J., Chan, J. H. H., Collett, T. E., Courbin, F., Fassnacht, C. D., Frieman, J., Kayo, I., Lemon, C., Lin, H., Marshall, P. J., McMahon, R., More, A., Morgan, N. D., Motta, V., Oguri, M., Ostrovski, F., Rusu, C. E., Schechter, P. L., Shanks, T., Suyu, S. H., Meylan, G., Abbott, T. M. C., Allam, S., Annis, J., Avila, S., Bertin, E., Brooks, D., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cunha, C. E., da Costa, L. N., De Vicente, J., Desai, S., Doel, P., Flaugher, B., Fosalba, P., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Hoyle, B., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Plazas, A. A., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., and Walker, A. R.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: Strong-gravitational lens systems with quadruply-imaged quasars (quads) are unique probes to address several fundamental problems in cosmology and astrophysics. Although they are intrinsically very rare, ongoing and planned wide-field deep-sky surveys are set to discover thousands of such systems in the next decade. It is thus paramount to devise a general framework to model strong-lens systems to cope with this large influx without being limited by expert investigator time. We propose such a general modelling framework (implemented with the publicly available software Lenstronomy) and apply it to uniformly model three-band Hubble Space Telescope Wide Field Camera 3 images of 13 quads. This is the largest uniformly modelled sample of quads to date and paves the way for a variety of studies. To illustrate the scientific content of the sample, we investigate the alignment between the mass and light distribution in the deflectors. The position angles of these distributions are well-aligned, except when there is strong external shear. However, we find no correlation between the ellipticity of the light and mass distributions. We also show that the observed flux-ratios between the images depart significantly from the predictions of simple smooth models. The departures are strongest in the bluest band, consistent with microlensing being the dominant cause in addition to millilensing. Future papers will exploit this rich dataset in combination with ground based spectroscopy and time delays to determine quantities such as the Hubble constant, the free streaming length of dark matter, and the normalization of the initial stellar mass function., Comment: 22 pages, 9 figures, 8 tables, Accepted to MNRAS. This version: updated Table 4 from the erratum
Published: 2018
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32. SHARP - V. Modelling gravitationally-lensed radio arcs imaged with global VLBI observations

Author: Spingola, C., McKean, J. P., Auger, M. W., Fassnacht, C. D., Koopmans, L. V. E., Lagattuta, D. J., and Vegetti, S.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present milliarcsecond (mas) angular resolution observations of the gravitationally lensed radio source MG J0751+2716 (at z=3.2) obtained with global Very Long Baseline Interferometry (VLBI) at 1.65 GHz. The background object is highly resolved in the tangential and radial directions, showing evidence of both compact and extended structure across several gravitational arcs that are 200 to 600~mas in size. By identifying compact sub-components in the multiple images, we constrain the mass distribution of the foreground z=0.35 gravitational lens using analytic models for the main deflector [power-law elliptical mass model; $\rho(r) \propto r^{-\gamma}$, where $\gamma=2$ corresponds to isothermal] and for the members of the galaxy group. Moreover, our mass models with and without the group find an inner mass-density slope steeper than isothermal for the main lensing galaxy, with $\gamma_1 = 2.08 \pm 0.02$ and $\gamma_2 = 2.16 \pm 0.02$ at the 4.2$\sigma$ level and 6.8$\sigma$ level, respectively, at the Einstein radius ($b_1 = 0.4025 \pm 0.0008$ and $b_2 = 0.307 \pm 0.002$ arcsec, respectively). We find randomly distributed image position residuals of about 3 mas, which are much larger that the measurement errors ($40$ $\mu$as on average). This suggests that at the mas level, the assumption of a smooth mass distribution fails, requiring additional structure in the model. However, given the environment of the lensing galaxy, it is not clear whether this extra mass is in the form of sub-haloes within the lens or along the line of sight, or from a more complex halo for the galaxy group., Comment: 15 pages, 8 figures; published by MNRAS
Published: 2018
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33. A 4 tonne demonstrator for large-scale dual-phase liquid argon time projection chambers

Author: Aimard, B., Alt, Ch., Asaadi, J., Auger, M., Aushev, V., Autiero, D., Badoi, M. M., Balaceanu, A., Balik, G., Balleyguier, L., Bechetoille, E., Belver, D., Blebea-Apostu, A. M., Bolognesi, S., Bordoni, S., Bourgeois, N., Bourguille, B., Bremer, J., Brown, G., Brunetti, G., Brunetti, L., Caiulo, D., Calin, M., Calvo, E., Campanelli, M., Cankocak, K., Cantini, C., Carlus, B., Cautisanu, B. M., Chalifour, M., Chappuis, A., Charitonidis, N., Chatterjee, A., Chiriacescu, A., Chiu, P., Conforti, S., Cotte, P., Crivelli, P., Cuesta, C., Dawson, J., De Bonis, I., De La Taille, C., Delbart, A., Desforge, D., Di Luise, S., Dimitru, B. S., Doizon, F., Drancourt, C., Duchesneau, D., Dulucq, F., Dumarchez, J., Duval, F., Emery, S., Ereditato, A., Esanu, T., Falcone, A., Fusshoeller, K., Gallego-Ros, A., Galymov, V., Geroy, N., Gendotti, A., Gherghel-Lascu, M., Giganti, C., Gil-Botella, I., Girerd, C., Gomoiu, M. C., Gorodetzky, P., Hamada, E., Hanni, R., Hasegawa, T., Holin, A., Horikawa, S., Ikeno, M., Jimenez, S., Jipa, A., Karolak, M., Karyotakis, Y., Kasai, S., Kasami, K., Kishishita, T., Kreslo, I., Kryn, D., Lastoria, C., Lazanu, I., Lehmann-Miotto, G., Lira, N., Loo, K., Lorca, D., Lutz, P., Lux, T., Maalampi, J., Maire, G., Maki, M., Manenti, L., Margineanu, R. M., Marteau, J., Martin-Chassard, G., Mathez, H., Mazzucato, E., Misitano, G., Mitrica, B., Mladenov, D., Bueno, L. Molina, Martinez, C. Moreno, Mols, J. P., Mosu, T. S., Mug, W., Munteanu, A., Murphy, S., Nakayoshi, K., Narita, S., Navas-Nicolas, D., Negishi, K., Nessi, M., Niculescu-Oglinzanu, M., Nita, L., Noto, F., Noury, A., Onishchuk, Y., Palomares, C., Parvu, M., Patzak, T., Penichot, Y., Pennacchio, E., Periale, L., Pessard, H., Pietropaolo, F., Piret, Y., Popov, B., Pugnere, D., Radics, B., Redondo, D., Regenfus, C., Remoto, A., Resnati, F., Rigaut, Y. A., Ristea, C., Rubbia, A., Saftoiu, A., Sakashita, K., Sanchez, F., Santos, C., Scarpelli, A., Schloesser, C., Lavina, L. Scotto, Sendai, K., Sergiampietri, F., Shahsavarani, S., Shoji, M., Sinclair, J., Soto-Oton, J., Stanca, D. L., Stefan, D., Stroescu, P., Sulej, R., Tanaka, M., Toboaru, V., Tonazzo, A., Tromeur, W., Trzaska, W. H., Uchida, T., Vannucci, F., Vasseur, G., Verdugo, A., Viant, T., Vihonen, S., Vilalte, S., Weber, M., Wu, S., Yu, J., Zambelli, L., and Zito, M.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: A 10 kilo-tonne dual-phase liquid argon TPC is one of the detector options considered for the Deep Underground Neutrino Experiment (DUNE). The detector technology relies on amplification of the ionisation charge in ultra-pure argon vapour and oers several advantages compared to the traditional single-phase liquid argon TPCs. A 4.2 tonne dual-phase liquid argon TPC prototype, the largest of its kind, with an active volume of 3x1x1 $m^3$ has been constructed and operated at CERN. In this paper we describe in detail the experimental setup and detector components as well as report on the operation experience. We also present the first results on the achieved charge amplification, prompt scintillation and electroluminescence detection, and purity of the liquid argon from analyses of a collected sample of cosmic ray muons.
Published: 2018
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34. The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign. II. New quasar lenses from double component fitting

Author: Anguita, T., Schechter, P. L., Kuropatkin, N., Morgan, N. D., Ostrovski, F., Abramson, L. E., Agnello, A., Apostolovski, Y., Fassnacht, C. D., Hsueh, J. W., Motta, V., Rojas, K., Rusu, C. E., Treu, T., Williams, P., Auger, M., Buckley-Geer, E., Lin, H., McMahon, R., Abbott, T. M. C., Allam, S., Annis, J., Bernstein, R. A., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cunha, C. E., D'Andrea, C. B., De Vicente, J., DePoy, D. L., Desai, S., Diehl, H. T., Doel, P., Flaugher, B., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lima, M., Maia, M. A. G., Miquel, R., Plazas, A. A., Sanchez, E., Scarpine, V., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., and Walker, A. R.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We report upon the follow up of 34 candidate lensed quasars found in the Dark Energy Survey using NTT-EFOSC, Magellan-IMACS, KECK-ESI and SOAR-SAMI. These candidates were selected by a combination of double component fitting, morphological assessment and color analysis. Most systems followed up are indeed composed of at least one quasar image and 13 with two or more quasar images: two lenses, four projected binaries and seven Nearly Identical Quasar Pairs (NIQs). The two systems confirmed as genuine gravitationally lensed quasars are one quadruple at $z_s=1.713$ and one double at $z_s=1.515$. Lens modeling of these two systems reveals that both systems require very little contribution from the environment to reproduce the image configuration. Nevertheless, small flux anomalies can be observed in one of the images of the quad. Further observations of 9 inconclusive systems (including 7 NIQs) will allow to confirm (or not) their gravitational lens nature., Comment: 13 pages, 8 figures. MNRAS submitted (05/24). Approved by the DES Collaboration Wide Review
Published: 2018
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35. Comparison of \nu\mu-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions

Author: Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, H., Chen, Y., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J, Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Caicedo, D. A. Martinez, Mastbaum, A., Meddage, V., Mettler, T., Miceli, T., Mills, G. B., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of 800 MeV, using an exposure corresponding to 5E19 protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity., Comment: 31 pages, 39 figures, 10 tables
Published: 2018
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36. Ionization Electron Signal Processing in Single Phase LArTPCs II. Data/Simulation Comparison and Performance in MicroBooNE

Author: MicroBooNE collaboration, Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Carr, R., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, H., Chen, Y., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Dolce, M., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Caicedo, D. A. Martinez, Mastbaum, A., Meddage, V., Mettler, T., Miceli, T., Mills, G. B., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Yu, B., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment
Abstract: The single-phase liquid argon time projection chamber (LArTPC) provides a large amount of detailed information in the form of fine-grained drifted ionization charge from particle traces. To fully utilize this information, the deposited charge must be accurately extracted from the raw digitized waveforms via a robust signal processing chain. Enabled by the ultra-low noise levels associated with cryogenic electronics in the MicroBooNE detector, the precise extraction of ionization charge from the induction wire planes in a single-phase LArTPC is qualitatively demonstrated on MicroBooNE data with event display images, and quantitatively demonstrated via waveform-level and track-level metrics. Improved performance of induction plane calorimetry is demonstrated through the agreement of extracted ionization charge measurements across different wire planes for various event topologies. In addition to the comprehensive waveform-level comparison of data and simulation, a calibration of the cryogenic electronics response is presented and solutions to various MicroBooNE-specific TPC issues are discussed. This work presents an important improvement in LArTPC signal processing, the foundation of reconstruction and therefore physics analyses in MicroBooNE., Comment: 54 pages, 36 figures; the first part of this work can be found at arXiv:1802.08709
Published: 2018
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37. Ionization Electron Signal Processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation

Author: MicroBooNE collaboration, Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, H., Chen, Y., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Caicedo, D. A. Martinez, Mastbaum, A., Meddage, V., Miceli, T., Mills, G. B., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Thorn, C., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Yu, B., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment
Abstract: We describe the concept and procedure of drifted-charge extraction developed in the MicroBooNE experiment, a single-phase liquid argon time projection chamber (LArTPC). This technique converts the raw digitized TPC waveform to the number of ionization electrons passing through a wire plane at a given time. A robust recovery of the number of ionization electrons from both induction and collection anode wire planes will augment the 3D reconstruction, and is particularly important for tomographic reconstruction algorithms. A number of building blocks of the overall procedure are described. The performance of the signal processing is quantitatively evaluated by comparing extracted charge with the true charge through a detailed TPC detector simulation taking into account position-dependent induced current inside a single wire region and across multiple wires. Some areas for further improvement of the performance of the charge extraction procedure are also discussed., Comment: 60 pages, 36 figures. The second part of this work can be found at arXiv:1804.02583
Published: 2018
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38. First Demonstration of a Pixelated Charge Readout for Single-Phase Liquid Argon Time Projection Chambers

Author: Asaadi, J., Auger, M., Ereditato, A., Goeldi, D., Haenni, R., Kose, U., Kreslo, I, Lorca, D., Luethi, M., Von Rohr, C. Rudolf, Sinclair, J. R., Stocker, F., Tognina, C., and Weber, M.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: Liquid Argon Time Projection Chambers (LArTPCs) have been selected for the future long-baseline Deep Underground Neutrino Experiment (DUNE). To allow LArTPCs to operate in the high-multiplicity near detector environment of DUNE, a new charge readout technology is required. Traditional charge readout technologies introduce intrinsic ambiguities, combined with a slow detector response, these ambiguities have limited the performance of LArTPCs, until now. Here, we present a novel pixelated charge readout that enables the full 3D tracking capabilities of LArTPCs. We characterise the signal to noise ratio of charge readout chain, to be about 14, and demonstrate track reconstruction on 3D space points produced by the pixel readout. This pixelated charge readout makes LArTPCs a viable option for the DUNE near detector complex., Comment: 13 pages, 9 figures
Published: 2018

39. A Gravitationally Lensed Quasar Discovered in OGLE

Author: Kostrzewa-Rutkowska, Z., Kozłowski, S., Lemon, C., Anguita, T., Greiner, J., Auger, M. W., Wyrzykowski, Ł., Apostolovski, Y., Bolmer, J., Udalski, A., Szymański, M. K., Soszyński, I., Poleski, R., Pietrukowicz, P., Skowron, J., Mróz, P., Ulaczyk, K., and Pawlak, M.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We report the discovery of a new gravitationally lensed quasar (double) from the Optical Gravitational Lensing Experiment (OGLE) identified inside the $\sim$670 sq. deg area encompassing the Magellanic Clouds. The source was selected as one of $\sim$60 "red W1-W2" mid-IR objects from WISE and having a significant amount of variability in OGLE for both two (or more) nearby sources. This is the first detection of a gravitational lens, where the discovery is made "the other way around", meaning we first measured the time delay between the two lensed quasar images of $-132
Published: 2018
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40. First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at Eν∼0.8 GeV with the MicroBooNE Detector

Author: Abratenko, P, Adams, C, Alrashed, M, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Auger, M, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Bass, M, Bay, F, Bhat, A, Bhattacharya, K, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Terrazas, I Caro, Carr, R, Fernandez, R Castillo, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Cohen, EO, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Diaz, A, Domine, L, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, Esquivel, J, Evans, JJ, Fitzpatrick, RS, Fleming, BT, Franco, D, Furmanski, AP, Garcia-Gamez, D, Genty, V, Goeldi, D, Gollapinni, S, Goodwin, O, Gramellini, E, Greenlee, H, Grosso, R, Gu, L, Gu, W, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, E-C, James, C, de Vries, J Jan, Ji, X, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, Y-J, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Lepetic, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martin-Albo, J, Caicedo, DA Martinez, and Mason, K
Subjects: MicroBooNE Collaboration, hep-ex, Mathematical Sciences, Physical Sciences, Engineering, General Physics
Abstract: We report the first measurement of the double-differential and total muon neutrino charged current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab Booster neutrino beam and correspond to 1.6×10^{20} protons on target of exposure. The measured differential cross sections are presented as a function of muon momentum, using multiple Coulomb scattering as a momentum measurement technique, and the muon angle with respect to the beam direction. We compare the measured cross sections to multiple neutrino event generators and find better agreement with those containing more complete treatment of quasielastic scattering processes at low Q^{2}. The total flux integrated cross section is measured to be 0.693±0.010(stat)±0.165(syst)×10^{-38} cm^{2}.
Published: 2019

41. Rejecting cosmic background for exclusive charged current quasi elastic neutrino interaction studies with Liquid Argon TPCs; a case study with the MicroBooNE detector

Author: Adams, C, Alrashed, M, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Auger, M, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Bass, M, Bay, F, Bhat, A, Bhattacharya, K, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Terrazas, I Caro, Carr, R, Fernandez, R Castillo, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Cohen, EO, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Diaz, A, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, Esquivel, J, Evans, JJ, Fadeeva, AA, Fitzpatrick, RS, Fleming, BT, Franco, D, Furmanski, AP, Garcia-Gamez, D, Genty, V, Goeldi, D, Gollapinni, S, Goodwin, O, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, E-C, James, C, de Vries, J Jan, Ji, X, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, Y-J, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Lepetic, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martin-Albo, J, Caicedo, DA Martinez, Mastbaum, A, Meddage, V, and Mettler, T
Subjects: Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Astronomical sciences, Atomic, molecular and optical physics, Particle and high energy physics
Abstract: Cosmic ray (CR) interactions can be a challenging source of background for neutrino oscillation and cross-section measurements in surface detectors. We present methods for CR rejection in measurements of charged-current quasielastic-like (CCQE-like) neutrino interactions, with a muon and a proton in the final state, measured using liquid argon time projection chambers (LArTPCs). Using a sample of cosmic data collected with the MicroBooNE detector, mixed with simulated neutrino scattering events, a set of event selection criteria is developed that produces an event sample with minimal contribution from CR background. Depending on the selection criteria used a purity between 50 and 80% can be achieved with a signal selection efficiency between 50 and 25%, with higher purity coming at the expense of lower efficiency. While using a specific dataset and selection criteria values optimized for the MicroBooNE detector, the concepts presented here are generic and can be adapted for various studies of exclusive νμ CCQE interactions in LArTPCs.
Published: 2019

42. Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber

Author: Adams, C, Alrashed, M, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Auger, M, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Bass, M, Bay, F, Bhat, A, Bhattacharya, K, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Terrazas, I Caro, Carr, R, Fernandez, R Castillo, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Cohen, EO, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Diaz, A, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, Esquivel, J, Evans, JJ, Fadeeva, AA, Fitzpatrick, RS, Fleming, BT, Franco, D, Furmanski, AP, Garcia-Gamez, D, Genty, V, Goeldi, D, Gollapinni, S, Goodwin, O, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, E-C, James, C, de Vries, J Jan, Ji, X, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, Y-J, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Lepetic, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martin-Albo, J, Caicedo, DA Martinez, Mastbaum, A, Meddage, V, and Mettler, T
Subjects: Nuclear and Plasma Physics, Physical Sciences, Neurosciences, hep-ex, cs.CV, physics.data-an, physics.ins-det, Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Mathematical physics, Astronomical sciences, Particle and high energy physics
Abstract: We have developed a convolutional neural network that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training techniques, and software tools developed to train this network. The goal of this work is to develop a complete deep neural network based data reconstruction chain for the MicroBooNE detector. We show the first demonstration of a network's validity on real LArTPC data using MicroBooNE collection plane images. The demonstration is performed for stopping muon and a νμ charged-current neutral pion data samples.
Published: 2019

43. First measurement of νμ charged-current π0 production on argon with the MicroBooNE detector

Author: Adams, C, Alrashed, M, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Auger, M, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Bass, M, Bay, F, Bhat, A, Bhattacharya, K, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Terrazas, I Caro, Carr, R, Fernandez, R Castillo, Cavanna, F, Cerati, G, Chen, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Diaz, A, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, Esquivel, J, Evans, JJ, Fadeeva, AA, Fitzpatrick, RS, Fleming, BT, Franco, D, Furmanski, AP, Garcia-Gamez, D, Genty, V, Goeldi, D, Gollapinni, S, Goodwin, O, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, E-C, James, C, de Vries, J Jan, Ji, X, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, Y-J, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Lepetic, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martin-Albo, J, Caicedo, DA Martinez, Mastbaum, A, and Meddage, V
Subjects: Nuclear and Plasma Physics, Particle and High Energy Physics, Synchrotrons and Accelerators, Physical Sciences, hep-ex, physics.ins-det, Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Mathematical physics, Astronomical sciences, Particle and high energy physics
Abstract: We report the first measurement of the flux-integrated cross section of νμ charged-current single π0 production on argon. This measurement is performed with the MicroBooNE detector, an 85 ton active mass liquid argon time projection chamber exposed to the Booster Neutrino Beam at Fermilab. This result on argon is compared to past measurements on lighter nuclei to investigate the scaling assumptions used in models of the production and transport of pions in neutrino-nucleus scattering. The techniques used are an important demonstration of the successful reconstruction and analysis of neutrino interactions producing electromagnetic final states using a liquid argon time projection chamber operating at the Earth's surface.
Published: 2019

44. Design and construction of the MicroBooNE Cosmic Ray Tagger system

Author: Adams, C, Alrashed, M, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Auger, M, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Bass, M, Bay, F, Bhat, A, Bhattacharya, K, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Terrazas, IC, Carr, R, Fernandez, RC, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Tutto, MD, Devitt, D, Diaz, A, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Esquivel, J, Evans, JJ, Fadeeva, AA, Fitzpatrick, RS, Fleming, BT, Franco, D, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Goodwin, O, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, EC, James, C, De Vries, JJ, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, YJ, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martin-Albo, J, Caicedo, DAM, Mastbaum, A, Meddage, V, Mettler, T, and Mills, GB
Subjects: Neutrino detectors, Particle tracking detectors, Particle identification methods, physics.ins-det, Nuclear & Particles Physics, Physical Sciences, Engineering
Abstract: The MicroBooNE detector utilizes a liquid argon time projection chamber (LArTPC) with an 85 t active mass to study neutrino interactions along the Booster Neutrino Beam (BNB) at Fermilab. With a deployment location near ground level, the detector records many cosmic muon tracks in each beam-related detector trigger that can be misidentified as signals of interest. To reduce these cosmogenic backgrounds, we have designed and constructed a TPC-external Cosmic Ray Tagger (CRT) . This sub-system was developed by the Laboratory for High Energy Physics (LHEP), Albert Einstein center for fundamental physics, University of Bern. The system utilizes plastic scintillation modules to provide precise time and position information for TPC-traversing particles. Successful matching of TPC tracks and CRT data will allow us to reduce cosmogenic background and better characterize the light collection system and LArTPC data using cosmic muons. In this paper we describe the design and installation of the MicroBooNE CRT system and provide an overview of a series of tests done to verify the proper operation of the system and its components during installation, commissioning, and physics data-taking.
Published: 2019

45. Comparison of νμ-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions

Author: Adams, C, An, R, Anthony, J, Asaadi, J, Auger, M, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Bass, M, Bay, F, Bhat, A, Bhattacharya, K, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Castillo Fernandez, R, Cavanna, F, Cerati, G, Chen, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Diaz, A, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, Esquivel, J, Evans, JJ, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, GA, Hourlier, A, Huang, E-C, James, C, de Vries, J Jan, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, Y-J, Kaleko, D, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martinez Caicedo, DA, Mastbaum, A, Meddage, V, Mettler, T, Miceli, T, Mills, GB, Mogan, A, Moon, J, Mooney, M, and Moore, CD
Subjects: Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, hep-ex, physics.ins-det, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Astronomical sciences, Atomic, molecular and optical physics, Particle and high energy physics
Abstract: We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of 800MeV, using an exposure corresponding to 5.0 × 10 19 protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity.
Published: 2019

46. Comparison of ν μ - Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions: MicroBooNE Collaboration

Author: Adams, C, An, R, Anthony, J, Asaadi, J, Auger, M, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Bass, M, Bay, F, Bhat, A, Bhattacharya, K, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Castillo Fernandez, R, Cavanna, F, Cerati, G, Chen, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, D, Diaz, A, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, Esquivel, J, Evans, JJ, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, GA, Hourlier, A, Huang, EC, James, C, de Vries, JJ, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, YJ, Kaleko, D, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martinez Caicedo, DA, Mastbaum, A, Meddage, V, Mettler, T, Miceli, T, Mills, GB, Mogan, A, Moon, J, Mooney, M, and Moore, CD
Subjects: hep-ex, physics.ins-det, Nuclear & Particles Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics
Abstract: We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of 800MeV, using an exposure corresponding to 5.0 × 10 19 protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity.
Published: 2019

47. ArCLight - a Compact Dielectric Large-Area Photon Detector

Author: Auger, M., Chen, Y., Ereditato, A., Goeldi, D., Kreslo, I., Lorca, D., Luethi, M., Mettler, T., Sinclair, J. R., and Weber, M. S.
Subjects: Physics - Instrumentation and Detectors
Abstract: ArCLight is a novel device for detecting scintillation light over large areas with Photon Detection Efficiency (PDE) of the order of a few percent. Its robust technological design allows for efficient use in large-volume particle detectors, such as Liquid Argon Time Projection Chambers (LArTPCs) or liquid scintillator detectors. Due to its dielectric structure it can be placed inside volumes with high electric field. It could potentially replace vacuum PhotoMultiplier Tubes (PMTs) in applications where high PDE is not required. The photon detection efficiency for a 10x10cm2 detector prototype was measured to be in the range of 0.8% to 2.2% across the active area.
Published: 2017

48. DES meets Gaia: discovery of strongly lensed quasars from a multiplet search

Author: Agnello, A., Lin, H., Kuropatkin, N., Buckley-Geer, E., Anguita, T., Schechter, P. L., Morishita, T., Motta, V., Rojas, K., Treu, T., Amara, A., Auger, M. W., Courbin, F., Fassnacht, C. D., Frieman, J., More, A., Marshall, P. J., McMahon, R. G., Meylan, G., Suyu, S. H., Glazebrook, K., Morgan, N., Nord, B., Abbott, T. M. C., Abdalla, F. B., Annis, J., Bechtol, K., Benoit-Lévy, A., Bertin, E., Bernstein, R. A., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Cunha, C. E., D'Andrea, C. B., da Costa, L. N., Desai, S., Drlica-Wagner, A., Eifler, T. F., Flaughe, B., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lima, M., Maia, M. A. G., March, M., Menanteau, F., Miquel, R., Ogando, R. L. C., Plazas, A. A., Sanchez, E., Scarpine, V., Schindler, R., Schubnel, M., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D., and Wechsler, R.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract: We report the discovery, spectroscopic confirmation and first lens models of the first two, strongly lensed quasars from a combined search in WISE and Gaia over the DES footprint. The four-image lensWGD2038-4008 (r.a.=20:38:02.65, dec.=-40:08:14.64) has source- and lens-redshifts $z_{s}=0.777 \pm 0.001$ and $z_l = 0.230 \pm 0.002$ respectively. Its deflector has effective radius $R_{\rm eff} \approx 3.4^{\prime\prime}$, stellar mass $\log(M_{\star}/M_{\odot}) = 11.64^{+0.20}_{-0.43}$, and shows extended isophotal shape variation. Simple lens models yield Einstein radii $R_{\rm E}=(1.30\pm0.04)^{\prime\prime},$ axis ratio $q=0.75\pm0.1$ (compatible with that of the starlight) and considerable shear-ellipticity degeneracies. The two-image lensWGD2021-4115 (r.a.=20:21:39.45, dec.=--41:15:57.11) has $z_{s}=1.390\pm0.001$ and $z_l = 0.335 \pm 0.002$, and Einstein radius $R_{\rm E} = (1.1\pm0.1)^{\prime\prime},$ but higher-resolution imaging is needed to accurately separate the deflector and faint quasar image. We also show high-rank candidate doubles selected this way, some of which have been independently identified with different techniques, and discuss a DES+WISE quasar multiplet selection., Comment: MNRAS subm. 21/10/2017, awaiting reviewer selection. This paper has been approved by DES Collaboration-Wide Review
Published: 2017
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49. The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector

Author: MicroBooNE collaboration, Acciarri, R., Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Carls, B., Fernandez, R. Castillo, Cavanna, F., Chen, H., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gomez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Graf, N., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jen, C. -M., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Laube, A., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Mariani, C., Marshall, J., Caicedo, D. A. Martinez, Meddage, V., Miceli, T., Mills, G. B., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Szelc, A. M., Tagg, N., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yates, L., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Data Analysis, Statistics and Probability
Abstract: The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pandora Software Development Kit provides functionality to aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in which individual algorithms each address a specific task in a particular topology. Many tens of algorithms then carefully build up a picture of the event and, together, provide a robust automated pattern-recognition solution. This paper describes details of the chain of over one hundred Pandora algorithms and tools used to reconstruct cosmic-ray muon and neutrino events in the MicroBooNE detector. Metrics that assess the current pattern-recognition performance are presented for simulated MicroBooNE events, using a selection of final-state event topologies., Comment: Preprint to be submitted to The European Physical Journal C
Published: 2017

50. Measurement of cosmic-ray reconstruction efficiencies in the MicroBooNE LArTPC using a small external cosmic-ray counter

Author: MicroBooNE collaboration, Acciarri, R., Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Carls, B., Fernandez, R. Castillo, Cavanna, F., Chen, H., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Graf, N., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jen, C. -M., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Kaleko, D., Kalousis, L. N., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Lange, G., Laube, A., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Mariani, C., Marshall, J., Caicedo, D. A. Martinez, Meddage, V., Miceli, T., Mills, G. B., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Pelkey, R., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Szelc, A. M., Tagg, N., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yates, L., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment
Abstract: The MicroBooNE detector is a liquid argon time projection chamber at Fermilab designed to study short-baseline neutrino oscillations and neutrino-argon interaction cross-section. Due to its location near the surface, a good understanding of cosmic muons as a source of backgrounds is of fundamental importance for the experiment. We present a method of using an external 0.5 m (L) x 0.5 m (W) muon counter stack, installed above the main detector, to determine the cosmic-ray reconstruction efficiency in MicroBooNE. Data are acquired with this external muon counter stack placed in three different positions, corresponding to cosmic rays intersecting different parts of the detector. The data reconstruction efficiency of tracks in the detector is found to be $\epsilon_{\mathrm{data}}=(97.1\pm0.1~(\mathrm{stat}) \pm 1.4~(\mathrm{sys}))\%$, in good agreement with the Monte Carlo reconstruction efficiency $\epsilon_{\mathrm{MC}} = (97.4\pm0.1)\%$. This analysis represents a small-scale demonstration of the method that can be used with future data coming from a recently installed cosmic-ray tagger system, which will be able to tag $\approx80\%$ of the cosmic rays passing through the MicroBooNE detector., Comment: 19 pages, 12 figures
Published: 2017
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