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1. Young patients with colorectal cancer have poor survival in the first twenty months after operation and predictable survival in the medium and long-term: Analysis of survival and prognostic markers

Author

Wickramarachchi RE, Deen R, Dassanayake B, Chan KK, Kumarage SK, Samita S, and Deen KI

Subjects
Surgery, RD1-811, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Objectives This study compares clinico-pathological features in young (50 years) with colorectal cancer, survival in the young and the influence of pre-operative clinical and histological factors on survival. Materials and methods A twelve year prospective database of colorectal cancer was analysed. Fifty-three young patients were compared with forty seven consecutive older patients over fifty years old. An analysis of survival was undertaken in young patients using Kaplan Meier graphs, non parametric methods, Cox's Proportional Hazard Ratios and Weibull Hazard models. Results Young patients comprised 13.4 percent of 397 with colorectal cancer. Duration of symptoms and presentation in the young was similar to older patients (median, range; young patients; 6 months, 2 weeks to 2 years, older patients; 4 months, 4 weeks to 3 years, p > 0.05). In both groups, the majority presented without bowel obstruction (young - 81%, older - 94%). Cancer proximal to the splenic flexure was present more in young than in older patients. Synchronous cancers were found exclusively in the young. Mucinous tumours were seen in 16% of young and 4% of older patients (p < 0.05). Ninety four percent of young cancer deaths were within 20 months of operation. At median follow up of 50 months in the young, overall survival was 70% and disease free survival 66%. American Joint Committee on Cancer (AJCC) stage 4 and use of pre-operative chemoradiation in rectal cancer was associated with poor survival in the young. Conclusion If patients, who are less than 40 years old with colorectal cancer, survive twenty months after operation, the prognosis improves and their survival becomes predictable.

Published
2010
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2. Current Status and Future Prospects of the SNO+ Experiment

Author

Collaboration, SNO, Andringa, S., Arushanova, E., Asahi, S., Askins, M., Auty, D. J., Back, A. R., Barnard, Z., Barros, N., Beier, E. W., Bialek, A., Biller, S. D., Blucher, E., Bonventre, R., Braid, D., Caden, E., Callaghan, E., Caravaca, J., Carvalho, J., Cavalli, L., Chauhan, D., Chen, M., Chkvorets, O., Clark, K., Cleveland, B., Coulter, I. T., Cressy, D., Dai, X., Darrach, C., Davis-Purcell, B., Deen, R., Depatie, M. M., Descamps, F., Di Lodovico, F., Duhaime, N., Duncan, F., Dunger, J., Falk, E., Fatemighomi, N., Ford, R., Gorel, P., Grant, C., Grullon, S., Guillian, E., Hallin, A. L., Hallman, D., Hans, S., Hartnell, J., Harvey, P., Hedayatipour, M., Heintzelman, W. J., Helmer, R. L., Hreljac, B., Hu, J., Iida, T., Jackson, C. M., Jelley, N. A., Jillings, C., Jones, C., Jones, P. G., Kamdin, K., Kaptanoglu, T., Kaspar, J., Keener, P., Khaghani, P., Kippenbrock, L., Klein, J. R., Knapik, R., Kofron, J. N., Kormos, L. L., Korte, S., Kraus, C., Krauss, C. B., Labe, K., Lam, I., Lan, C., Land, B. J., Langrock, S., LaTorre, A., Lawson, I., Lefeuvre, G. M., Leming, E. J., Lidgard, J., Liu, X., Liu, Y., Lozza, V., Maguire, S., Maio, A., Majumdar, K., Manecki, S., Maneira, J., Marzec, E., Mastbaum, A., McCauley, N., McDonald, A. B., McMillan, J. E., Mekarski, P., Miller, C., Mohan, Y., Mony, E., Mottram, M. J., Novikov, V., O'Keeffe, H. M., O'Sullivan, E., Gann, G. D. Orebi, Parnell, M. J., Peeters, S. J. M., Pershing, T., Petriw, Z., Prior, G., Prouty, J. C., Quirk, S., Reichold, A., Robertson, A., Rose, J., Rosero, R., Rost, P. M., Rumleskie, J., Schumaker, M. A., Schwendener, M. H., Scislowski, D., Secrest, J., Seddighin, M., Segui, L., Seibert, S., Shantz, T., Shokair, T. M., Sibley, L., Sinclair, J. R., Singh, K., Skensved, P., Soerensen, A., Sonley, T., Stainforth, R., Strait, M., Stringer, M. I., Svoboda, R., Tatar, J., Tian, L., Tolich, N., Tseng, J., Tseung, H. W. C., Van Berg, R., Vázquez-Jáuregui, E., Virtue, C., von Krosigk, B., Walker, J. M. G., Walker, M., Wasalski, O., Waterfield, J., White, R. F., Wilson, J. R., Winchester, T. J., Wright, A., Yeh, M., Zhao, T., and Zuber, K.

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

SNO+ is a large liquid scintillator-based experiment located 2km underground at SNOLAB, Sudbury, Canada. It reuses the Sudbury Neutrino Observatory detector, consisting of a 12m diameter acrylic vessel which will be filled with about 780 tonnes of ultra-pure liquid scintillator. Designed as a multipurpose neutrino experiment, the primary goal of SNO+ is a search for the neutrinoless double-beta decay (0$\nu\beta\beta$) of 130Te. In Phase I, the detector will be loaded with 0.3% natural tellurium, corresponding to nearly 800 kg of 130Te, with an expected effective Majorana neutrino mass sensitivity in the region of 55-133 meV, just above the inverted mass hierarchy. Recently, the possibility of deploying up to ten times more natural tellurium has been investigated, which would enable SNO+ to achieve sensitivity deep into the parameter space for the inverted neutrino mass hierarchy in the future. Additionally, SNO+ aims to measure reactor antineutrino oscillations, low-energy solar neutrinos, and geoneutrinos, to be sensitive to supernova neutrinos, and to search for exotic physics. A first phase with the detector filled with water will begin soon, with the scintillator phase expected to start after a few months of water data taking. The 0$\nu\beta\beta$ Phase I is foreseen for 2017., Comment: Published in "Neutrino Masses and Oscillations" of Advances in High Energy Physics (Hindawi)

Published
2015
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3. Current Status and Future Prospects of the SNO+ Experiment

Author

Andringa, S, Arushanova, E, Asahi, S, Askins, M, Auty, DJ, Back, AR, Barnard, Z, Barros, N, Beier, EW, Bialek, A, Biller, SD, Blucher, E, Bonventre, R, Braid, D, Caden, E, Callaghan, E, Caravaca, J, Carvalho, J, Cavalli, L, Chauhan, D, Chen, M, Chkvorets, O, Clark, K, Cleveland, B, Coulter, IT, Cressy, D, Dai, X, Darrach, C, Davis-Purcell, B, Deen, R, Depatie, MM, Descamps, F, Di Lodovico, F, Duhaime, N, Duncan, F, Dunger, J, Falk, E, Fatemighomi, N, Ford, R, Gorel, P, Grant, C, Grullon, S, Guillian, E, Hallin, AL, Hallman, D, Hans, S, Hartnell, J, Harvey, P, Hedayatipour, M, Heintzelman, WJ, Helmer, RL, Hreljac, B, Hu, J, Iida, T, Jackson, CM, Jelley, NA, Jillings, C, Jones, C, Jones, PG, Kamdin, K, Kaptanoglu, T, Kaspar, J, Keener, P, Khaghani, P, Kippenbrock, L, Klein, JR, Knapik, R, Kofron, JN, Kormos, LL, Korte, S, Kraus, C, Krauss, CB, Labe, K, Lam, I, Lan, C, Land, BJ, Langrock, S, LaTorre, A, Lawson, I, Lefeuvre, GM, Leming, EJ, Lidgard, J, Liu, X, Liu, Y, Lozza, V, Maguire, S, Maio, A, Majumdar, K, Manecki, S, Maneira, J, Marzec, E, Mastbaum, A, McCauley, N, McDonald, AB, McMillan, JE, Mekarski, P, Miller, C, Mohan, Y, Mony, E, and Mottram, MJ

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, physics.ins-det, hep-ex, Mathematical Sciences, Mathematical sciences, Physical sciences
Abstract

SNO+ is a large liquid scintillator-based experiment located 2 km underground at SNOLAB, Sudbury, Canada. It reuses the Sudbury Neutrino Observatory detector, consisting of a 12 m diameter acrylic vessel which will be filled with about 780 tonnes of ultra-pure liquid scintillator. Designed as a multipurpose neutrino experiment, the primary goal of SNO+ is a search for the neutrinoless double-beta decay (0ββ) of 130Te. In Phase I, the detector will be loaded with 0.3% natural tellurium, corresponding to nearly 800 kg of 130Te, with an expected effective Majorana neutrino mass sensitivity in the region of 55-133 meV, just above the inverted mass hierarchy. Recently, the possibility of deploying up to ten times more natural tellurium has been investigated, which would enable SNO+ to achieve sensitivity deep into the parameter space for the inverted neutrino mass hierarchy in the future. Additionally, SNO+ aims to measure reactor antineutrino oscillations, low energy solar neutrinos, and geoneutrinos, to be sensitive to supernova neutrinos, and to search for exotic physics. A first phase with the detector filled with water will begin soon, with the scintillator phase expected to start after a few months of water data taking. The 0νββ Phase I is foreseen for 2017.

Published
2016

4. Pre-Flight Calibration of the Mars 2020 Rover Mastcam Zoom (Mastcam-Z) Multispectral, Stereoscopic Imager

Author

Hayes, Alexander G., Corlies, P., Tate, C., Barrington, M., Bell, J. F., Maki, J. N., Caplinger, M., Ravine, M., Kinch, K. M., Herkenhoff, K., Horgan, B., Johnson, J., Lemmon, M., Paar, G., Rice, M. S., Jensen, E., Kubacki, T. M., Cloutis, E., Deen, R., Ehlmann, B. L., Lakdawalla, E., Sullivan, R., Winhold, A., Parkinson, A., Bailey, Z., van Beek, J., Caballo-Perucha, P., Cisneros, E., Dixon, D., Donaldson, C., Jensen, O. B., Kuik, J., Lapo, K., Magee, A., Merusi, M., Mollerup, J., Scudder, N., Seeger, C., Stanish, E., Starr, M., Thompson, M., Turenne, N., and Winchell, K.

Published
2021
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5. The Mars 2020 Perseverance Rover Mast Camera Zoom (Mastcam-Z) Multispectral, Stereoscopic Imaging Investigation

Author

Bell, III, J. F., Maki, J. N., Mehall, G. L., Ravine, M. A., Caplinger, M. A., Bailey, Z. J., Brylow, S., Schaffner, J. A., Kinch, K. M., Madsen, M. B., Winhold, A., Hayes, A. G., Corlies, P., Tate, C., Barrington, M., Cisneros, E., Jensen, E., Paris, K., Crawford, K., Rojas, C., Mehall, L., Joseph, J., Proton, J. B., Cluff, N., Deen, R. G., Betts, B., Cloutis, E., Coates, A. J., Colaprete, A., Edgett, K. S., Ehlmann, B. L., Fagents, S., Grotzinger, J. P., Hardgrove, C., Herkenhoff, K. E., Horgan, B., Jaumann, R., Johnson, J. R., Lemmon, M., Paar, G., Caballo-Perucha, M., Gupta, S., Traxler, C., Preusker, F., Rice, M. S., Robinson, M. S., Schmitz, N., Sullivan, R., and Wolff, M. J.

Published
2021
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6. The Mars 2020 Engineering Cameras and Microphone on the Perseverance Rover: A Next-Generation Imaging System for Mars Exploration

Author

Maki, J. N., Gruel, D., McKinney, C., Ravine, M. A., Morales, M., Lee, D., Willson, R., Copley-Woods, D., Valvo, M., Goodsall, T., McGuire, J., Sellar, R. G., Schaffner, J. A., Caplinger, M. A., Shamah, J. M., Johnson, A. E., Ansari, H., Singh, K., Litwin, T., Deen, R., Culver, A., Ruoff, N., Petrizzo, D., Kessler, D., Basset, C., Estlin, T., Alibay, F., Nelessen, A., and Algermissen, S.

Published
2020
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7. Geology of the InSight landing site on Mars

Author

Golombek, M., Warner, N. H., Grant, J. A., Hauber, E., Ansan, V., Weitz, C. M., Williams, N., Charalambous, C., Wilson, S. A., DeMott, A., Kopp, M., Lethcoe-Wilson, H., Berger, L., Hausmann, R., Marteau, E., Vrettos, C., Trussell, A., Folkner, W., Le Maistre, S., Mueller, N., Grott, M., Spohn, T., Piqueux, S., Millour, E., Forget, F., Daubar, I., Murdoch, N., Lognonné, P., Perrin, C., Rodriguez, S., Pike, W. T., Parker, T., Maki, J., Abarca, H., Deen, R., Hall, J., Andres, P., Ruoff, N., Calef, F., Smrekar, S., Baker, M. M., Banks, M., Spiga, A., Banfield, D., Garvin, J., Newman, C. E., and Banerdt, W. B.

Published
2020
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8. Mars 2020 ECAM Imaging System Initial Results

Author

Maki, Justin, Gruel, D, Kinney, C. Mc, Ravine, M. A, Morales, M, Lee, D, Willson, R, Copley-Woods, D, Valvo, M, Goodsall, T, Guire, J. Mc, Sellar, R. G, Schaffner, J. A, Caplinger, M. A, Shamah, J. M, Johnson, A. E, Ansari, H, Singh, K, Litwin, T, Deen, R, Culver, A, Ruoff, N, Petrizzo, D, Kessler, D, Basset, C, Estlin, T, Alibay, F, Nelessen, A, Algermissen, S, Lambert, M, and Williams, N. R

Published
2021

9. Mars 2020 ECAM Imaging System Initial Results

Author

Williams, N. R, Lambert, M, Algermissen, S, Nelessen, A, Alibay, F, Estlin, T, Basset, C, Kessler, D, Petrizzo, D, Ruoff, N, Culver, A, Deen, R, Litwin, T, Singh, K, Ansari, H, Johnson, A. E, Shamah, J. M, Caplinger, M. A, Schaffner, J. A, Sellar, R. G, Guire, J. Mc, Goodsall, T, Valvo, M, Copley-Woods, D, Willson, R, Lee, D, Morales, M, Ravine, M. A, Kinney, C. Mc, Gruel, D, and Maki, Justin

Published
2021

10. Mars 2020 Engineering Cameras: A Next-Generation Imaging System for Mars Exploration

Author

Algermissen, S, Nelessen, A, Alibay, F, Estlin, T, Basset, C, Kessler, D, Petrizzo, D, Ruoff, N, Culver, A, Deen, R, Litwin, T, Singh, K, Ansari, H, Johnson, A.E, Shamah, J.M, Caplinger, M.A, Schaffner, J.A, Sellar, R.G, McGuire, J, Goodsall, T, Valvo, M, Copley-Woods, D, Willson, R, Lee, D, Morales, M, Ravine, M.A, McKinney, C, Gruel, D, and Maki, Justin N

Published
2021

11. Mars 2020 Engineering Cameras: A Next-Generation Imaging System for Mars Exploration

Author

Maki, Justin N, Gruel, D, McKinney, C, Ravine, M.A, Morales, M, Lee, D, Willson, R, Copley-Woods, D, Valvo, M, Goodsall, T, McGuire, J, Sellar, R.G, Schaffner, J.A, Caplinger, M.A, Shamah, J.M, Johnson, A.E, Ansari, H, Singh, K, Litwin, T, Deen, R, Culver, A, Ruoff, N, Petrizzo, D, Kessler, D, Basset, C, Estlin, T, Alibay, F, Nelessen, A, and Algermissen, S

Published
2021

12. Analysis of co-located supercam and sherloc observations on abrasion patches in Jezero crater

Author

Connell, S. A., Wiens, R. C., Cardarelli, E. L., Deen, R., Mandon, L., Sharma, S., Beyssac, O., Clavé, E., Siljeström, S., Czaja, A.I., Pilleri, P., Gasnault, O., Lopez-Reyes, G., Johnson, J.R., Bhartia, R., Maurice, S., Teams, Supercam And Sherloc, Purdue University [West Lafayette], California Institute of Technology (CALTECH), Institut de minéralogie, de physique des matériaux et de cosmochimie (IMPMC), Muséum national d'Histoire naturelle (MNHN)-Institut de recherche pour le développement [IRD] : UR206-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université de Bordeaux (UB), University of Cincinnati (UC), Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Universidad de Valladolid [Valladolid] (UVa), Johns Hopkins University Applied Physics Laboratory [Laurel, MD] (APL), Photon Systems Inc., and Lunar and Planetary Institute

Subjects
[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology, [SDU]Sciences of the Universe [physics], [SDU.ASTR.EP]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP]
Abstract

International audience

Published
2023

14. SEIS: Insight’s Seismic Experiment for Internal Structure of Mars

Author

Lognonné, P., Banerdt, W. B., Giardini, D., Pike, W. T., Christensen, U., Laudet, P., de Raucourt, S., Zweifel, P., Calcutt, S., Bierwirth, M., Hurst, K. J., Ijpelaan, F., Umland, J. W., Llorca-Cejudo, R., Larson, S. A., Garcia, R. F., Kedar, S., Knapmeyer-Endrun, B., Mimoun, D., Mocquet, A., Panning, M. P., Weber, R. C., Sylvestre-Baron, A., Pont, G., Verdier, N., Kerjean, L., Facto, L. J., Gharakanian, V., Feldman, J. E., Hoffman, T. L., Klein, D. B., Klein, K., Onufer, N. P., Paredes-Garcia, J., Petkov, M. P., Willis, J. R., Smrekar, S. E., Drilleau, M., Gabsi, T., Nebut, T., Robert, O., Tillier, S., Moreau, C., Parise, M., Aveni, G., Ben Charef, S., Bennour, Y., Camus, T., Dandonneau, P. A., Desfoux, C., Lecomte, B., Pot, O., Revuz, P., Mance, D., tenPierick, J., Bowles, N. E., Charalambous, C., Delahunty, A. K., Hurley, J., Irshad, R., Liu, Huafeng, Mukherjee, A. G., Standley, I. M., Stott, A. E., Temple, J., Warren, T., Eberhardt, M., Kramer, A., Kühne, W., Miettinen, E.-P., Monecke, M., Aicardi, C., André, M., Baroukh, J., Borrien, A., Bouisset, A., Boutte, P., Brethomé, K., Brysbaert, C., Carlier, T., Deleuze, M., Desmarres, J. M., Dilhan, D., Doucet, C., Faye, D., Faye-Refalo, N., Gonzalez, R., Imbert, C., Larigauderie, C., Locatelli, E., Luno, L., Meyer, J.-R., Mialhe, F., Mouret, J. M., Nonon, M., Pahn, Y., Paillet, A., Pasquier, P., Perez, G., Perez, R., Perrin, L., Pouilloux, B., Rosak, A., Savin de Larclause, I., Sicre, J., Sodki, M., Toulemont, N., Vella, B., Yana, C., Alibay, F., Avalos, O. M., Balzer, M. A., Bhandari, P., Blanco, E., Bone, B. D., Bousman, J. C., Bruneau, P., Calef, F. J., Calvet, R. J., D’Agostino, S. A., de los Santos, G., Deen, R. G., Denise, R. W., Ervin, J., Ferraro, N. W., Gengl, H. E., Grinblat, F., Hernandez, D., Hetzel, M., Johnson, M. E., Khachikyan, L., Lin, J. Y., Madzunkov, S. M., Marshall, S. L., Mikellides, I. G., Miller, E. A., Raff, W., Singer, J. E., Sunday, C. M., Villalvazo, J. F., Wallace, M. C., Banfield, D., Rodriguez-Manfredi, J. A., Russell, C. T., Trebi-Ollennu, A., Maki, J. N., Beucler, E., Böse, M., Bonjour, C., Berenguer, J. L., Ceylan, S., Clinton, J., Conejero, V., Daubar, I., Dehant, V., Delage, P., Euchner, F., Estève, I., Fayon, L., Ferraioli, L., Johnson, C. L., Gagnepain-Beyneix, J., Golombek, M., Khan, A., Kawamura, T., Kenda, B., Labrot, P., Murdoch, N., Pardo, C., Perrin, C., Pou, L., Sauron, A., Savoie, D., Stähler, S., Stutzmann, E., Teanby, N. A., Tromp, J., van Driel, M., Wieczorek, M., Widmer-Schnidrig, R., and Wookey, J.

Published
2019
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16. Martian Fluvial Conglomerates at Gale Crater

Author

Williams, R. M. E., Grotzinger, J. P., Dietrich, W. E., Gupta, S., Sumner, D. Y., Wiens, R. C., Mangold, N., Malin, M. C., Edgett, K. S., Maurice, S., Forni, O., Gasnault, O., Ollila, A., Newsom, H. E., Dromart, G., Palucis, M. C., Yingst, R. A., Anderson, R. B., Herkenhoff, K. E., Le Mouélic, S., Goetz, W., Madsen, M. B., Koefoed, A., Jensen, J. K., Bridges, J. C., Schwenzer, S. P., Lewis, K. W., Stack, K. M., Rubin, D., Kah, L. C., Bell, J. F., Farmer, J. D., Sullivan, R., Van Beek, T., Blaney, D. L., Pariser, O., and Deen, R. G.

Published
2013
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17. MASTCAM-Z IN JEZERO CRATER: OVERVIEW AND STATUS UPDATE

Author

Maki, J., Bell III, James F., Mehall, G., Ravine, M. A., Caplinger, M. A., Saxton, K. N., Kinch, K., Madsen, M.B., Rice, M S, Cisneros, E., Ehlmann, B. L., Hayes, Alex, Horgan, B., Jensen, E., Johnson, J. R., Paris, Kristen, Winhold, A., Betts, Bruce H., Wolff, M.J., Bailey, A., Barrington, M.N., Cloutis, E., Cluff, N., Coates, A., Colaprete, A., Corlies, P, Crawford, K., Deen, R. G., Edgett, K., Fagents, Sarah, Fleron, S.Z., Grotzinger, J. P., Gwinner, Klaus, Hansen, M.D., Hardgrove, C., Herkenhoff, K. E., Jaumann, R., Lemmon, M., Mehall, L., Núnez, Jorge I., Paar, G., Caballo-Perucha, P., Preusker, Frank, Robinson, M.S., Rojas, C., Schmitz, Nicole, Stein, N. T., Sullivan, R., Tate, C., Vaughan, A., Million, Chase, St. Clair, M., Proton, J. B., and Merusi, M.

Subjects
Morphology, Mastcam-Z, Jezero Crater, Multispectral, Mars 2020, Mars, Geology, Perseverance, Imaging
Published
2022

19. A Komatiite Succession as an Analog for the Olivine Bearing Rocks at Jezero

Author

Brown, A. J., Wiens, R. C., Maurice, S., Uckert, K., Tice, M., Flannery, David, Treiman, A. H., Deen, R. G., Siebach, K. L., Beegle, L. W., Abbey, W. J., Bell​, J. F., Mayhew, L. E., Simon, J. I., Beyssac, O., Willis, P. A., Bhartia, R., Smith, R. J., Fouchet, T., Quantin-Nataf, C., Pinet, P., Mandon, Lucia, Le Mouélic, Stéphane, Udry, A., Horgan, B., Calef, F., Cloutis, E., Turenne, N., Royer, Clément, Zorzano, María-Paz, Ravanis, Eleni, Fagents, S., Fairen, Alberto, Gupta, S., Sautter, Violaine, Liu, Y., Schmidt, M., Hickman-Lewis, K., Kah, L. C., Brown, A. J., Wiens, R. C., Maurice, S., Uckert, K., Tice, M., Flannery, David, Treiman, A. H., Deen, R. G., Siebach, K. L., Beegle, L. W., Abbey, W. J., Bell​, J. F., Mayhew, L. E., Simon, J. I., Beyssac, O., Willis, P. A., Bhartia, R., Smith, R. J., Fouchet, T., Quantin-Nataf, C., Pinet, P., Mandon, Lucia, Le Mouélic, Stéphane, Udry, A., Horgan, B., Calef, F., Cloutis, E., Turenne, N., Royer, Clément, Zorzano, María-Paz, Ravanis, Eleni, Fagents, S., Fairen, Alberto, Gupta, S., Sautter, Violaine, Liu, Y., Schmidt, M., Hickman-Lewis, K., and Kah, L. C.

Abstract

The Mars 2020 rover landed at Jezero crater on February 18, 2021. Since then, the rover has traveled around the “Séítah” region and has collected data from the Mastcam-Z, Supercam, PIXL and SHERLOC instruments that has led to insights into the formation of the olivine-clay-carbonate bearing rocks that were identified from orbit. Here we discuss three questions: 1) What have we learned about the olivine-clay- carbonate unit? 2) What terrestrial analogs exist for the unit? 3) Why do the rocks have a thinly layered morphology? We shall briefly mention instrumental measurements which provide important information regarding the olivine bearing rock at Seitah.

Published
2022

20. The Mars Science Laboratory Curiosity Rover Mastcam Instruments: Preflight and In-Flight Calibration, Validation, and Data Archiving

Author

Bell, J. F., III, Godber, A, McNair, S, Caplinger, M. A, Maki, J. N, Lemmon, M. T, Van Beek, J, Malin, M. C, Wellington, D, Kinch, K. M, Madsen, M. B, Hardgrove, C, Ravine, M. A, Jensen, E, Harker, D, Anderson, R. B, Herkenhoff, K. E, Morris, R. V, Cisneros, E, and Deen, R. G

Subjects
Instrumentation And Photography
Abstract

The NASA Curiosity rover Mast Camera (Mastcam) system is a pair of fixed-focal length, multispectral, color CCD imagers mounted approximately 2 m above the surface on the rover's remote sensing mast, along with associated electronics and an onboard calibration target. The left Mastcam (M-34) has a 34 mm focal length, an instantaneous field of view (IFOV) of 0.22 mrad, and a FOV of 20 deg × 15 deg over the full 1648 × 1200 pixel span of its Kodak KAI-2020 CCD. The right Mastcam (M-100) has a 100 mm focal length, an IFOV of 0.074 mrad, and a FOV of 6.8 deg × 5.1 deg using the same detector. The cameras are separated by 24.2 cm on the mast, allowing stereo images to be obtained at the resolution of the M-34 camera. Each camera has an eight-position filter wheel, enabling it to take Bayer pattern red, green, and blue (RGB) 'true color' images, multispectral images in nine additional bands spanning approximately 400-1100 nm, and images of the Sun in two colors through neutral density-coated filters. An associated Digital Electronics Assembly provides command and data interfaces to the rover, 8 Gb of image storage per camera, 11 bit to 8 bit companding, JPEG compression, and acquisition of high-definition video. Here we describe the preflight and in-flight calibration of Mastcam images, the ways that they are being archived in the NASA Planetary Data System, and the ways that calibration refinements are being developed as the investigation progresses on Mars. We also provide some examples of data sets and analyses that help to validate the accuracy and precision of the calibration.

Published
2017
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21. Machine learning string standard models

Author

Deen, R., He, Y-H., Lee, S-J., and Lukas, A.

Subjects
High Energy Physics - Theory, QA75, FOS: Computer and information sciences, Computer Science::Machine Learning, hep-th, FOS: Physical sciences, Machine Learning (stat.ML), stat.ML, Mathematics - Algebraic Geometry, math.AG, High Energy Physics - Theory (hep-th), Statistics - Machine Learning, FOS: Mathematics, QA, Mathematical Physics and Mathematics, Algebraic Geometry (math.AG), Particle Physics - Theory
Abstract

We study machine learning of phenomenologically relevant properties of string compactifications, which arise in the context of heterotic line bundle models. Both supervised and unsupervised learning are considered. We find that, for a fixed compactification manifold, relatively small neural networks are capable of distinguishing consistent line bundle models with the correct gauge group and the correct chiral asymmetry from random models without these properties. The same distinction can also be achieved in the context of unsupervised learning, using an auto-encoder. Learning non-topological properties, specifically the number of Higgs multiplets, turns out to be more difficult, but is possible using sizeable networks and feature-enhanced data sets., Comment: 10 pages

Published
2022

23. This volume

Author

Stobbe, J., Deen, R., van der Waal, M., and AIHR (FGw)

Published
2022

27. Effect of Counseling About Assisted Reproductive Technology on Reducing the Levels of Anxiety for Infertile Women

Author

Essam El Deen R Abdel Hafeze, Hanaa S. Ahmed, and Amal F. Arief

Subjects
Research design, Infertility, Assisted reproductive technology, business.industry, medicine.medical_treatment, Energy Engineering and Power Technology, Reproductive technology, medicine.disease, Pregnancy rate, Fuel Technology, Structured interview, medicine, Anxiety, Trait anxiety, medicine.symptom, business, Clinical psychology
Abstract

Background: It is well known that counseling has a positive effect on infertile women in reducing some aspects as anxiety and stress and, also increasing the Pregnancy rate. The aim of this study was to assess the effect of counseling about assisted reproductive technologies on reducing the levels of anxiety for infertile women. Research design: Quasi experimental Research-design (pre & post) test was used to carry out this study. Subjects: The sample consisted of (200) women who met the criteria of selection that was involved in the study at Banoon center for infertility treatment at Assiut city. Tools: A structured interview questionnaire and the State- Trait Anxiety Scale to assess effect of counseling of infertile women about assisted reproductive technologies on their level of anxiety. Results: It was observed that one third of studied women had mild/normal state of anxiety before counseling compared with two thirds of them had mild/normal state of anxiety after counseling. Conclusions: Efficient counseling about assisted reproductive technologies by well trained personnel can reduce high level of anxiety. Recommendations: Counseling program to reduce stress/anxiety should be incorporated in assisted reproductive technology programs in the study region.

Published
2019

29. Rock Size‐Frequency Distributions at the InSight Landing Site, Mars

Author

Golombek, M. P., primary, Trussell, A., additional, Williams, N., additional, Charalambous, C., additional, Abarca, H., additional, Warner, N. H., additional, Deahn, M., additional, Trautman, M., additional, Crocco, R., additional, Grant, J. A., additional, Hauber, E., additional, and Deen, R., additional

Published
2021
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30. Anticipated initial results from the NASA Mars 2020 Perseverance Rover Mastcam-Z multispectral, stereoscopic imaging investigation

Author

Bell, J. F., Maki, J.N., Mehall, G., Ravine, M. A., Caplinger, M. A., Saxton, K. N., Kinch, K., Madsen, M.B., Betts, Bruce H., Cisneros, E., Ehlmann, B. L., Hayes, A., Horgan, B., Jensen, E., Johnson, J.R., Paris, K., Rice, M., Winhold, M., Wolff, M.J., Bailey, A., Barrington, M.N., Cloutis, E., Cluff, N., Coates, A. J., Colaprete, A., Corlies, P, Crawford, K., Deen, R., Edgett, K., Fagents, Sarah, Grotzinger, J P, Gwinner, Klaus, Hardgrove, C., Herkenhoff, K., Jaumann, R., Lemmon, M. T., Mehall, L., Nunez, J., Paar, G., Caballo-Perucha, M., Preusker, Frank, Robinson, M. S., Rojas, C., Schmitz, Nicole, Stein, N. T., Sullivan, R., Tate, C., and Vaughan, A.

Subjects
Mastcam-Z, Mars 2020, Mars, Rover, Perseverance, Imaging
Published
2021

32. Rock Size-frequency Distributions of the InSight Landing Site, Mars

Author

Golombek, M. P., Trussell, A., Williams, N., Charalambous, C., Abarca, H., Warner, N. H., Deahn, M., Trautman, M., Crocco, R., Grant, J. A., Hauber, E., Deen, R., Golombek, M. P., Trussell, A., Williams, N., Charalambous, C., Abarca, H., Warner, N. H., Deahn, M., Trautman, M., Crocco, R., Grant, J. A., Hauber, E., and Deen, R.

Abstract

Rocks around the InSight lander were measured in lander orthoimages of the near field (<10 m), in panoramas of the far field (<40 m), and in a high-resolution orbital image around the lander (1 km²). The cumulative fractional area versus diameter size-frequency distributions for four areas in the near field fall on exponential model curves used for estimating hazards for landing spacecraft. The rock abundance varies in the near field from 0.6% for the sand and pebble rich area to the east within Homestead hollow, to ~3-5% for the progressively rockier areas to the south, north and west. The rock abundance of the entire near field is just over 3%, which falls between that at the Phoenix (2%) and Spirit (5%) landing sites. Rocks in the far field (<40 m) that could be identified in both the surface panorama and a high-resolution orbital image fall on the same exponential model curve as the average near field rocks. Rocks measured in a high-resolution orbital image (27.5 cm/pixel) within ~500 m of the lander that includes several rocky ejecta craters fall on 4-5% exponential model curves, similar to the northern and western near field areas. As a result, the rock abundances observed from orbit falls on the same exponential model rock abundance curves as those viewed from the surface. These rock abundance measurements around the lander are consistent with thermal imaging estimates over larger pixel areas as well as expectations from fragmentation theory of an impacted Amazonian/Hesperian lava flow.

Published
2021

33. Degradation at the InSight Landing Site, Homestead Hollow, Mars: Constraints from Rock Heights and Shapes

Author

Grant, J. A., Wilson, S. A., Golombek, M., Trussell, A., Warner, N. H., Williams, N., Weitz, C. M., Gengl, H., Deen, R., Grant, J. A., Wilson, S. A., Golombek, M., Trussell, A., Warner, N. H., Williams, N., Weitz, C. M., Gengl, H., and Deen, R.

Abstract

Rock heights and three-dimensional shapes around the InSight lander in Homestead hollow, Mars, provide new constraints on modification of the degraded 27 m in diameter impact crater and are a tool for characterizing degradation on regolith-covered lava plains on Mars. Decreasing average rock height and increasing percentage of fragments where height comprises the short axis from outside to within the hollow supports significant ejecta deflation accompanied by infilling of the interior. Rock relief outside the hollow is compared with expectations of pristine ejecta thickness and indicates up to ~40 cm of near-rim early deflation (decreasing to a few cm out to one diameter) can account for the predicted eolian component of infilling and that other eolian infilling sources are not required. Scattered rocks in the hollow are ejecta from subsequent nearby impacts and their mostly buried expression is consistent with subsequent long-term degradation estimated to be 10⁻⁴ m/Myr. Basalt rock shapes at InSight are likely similar to basalt rock shapes on Earth, but appear more platy, bladed, and elongate in a triangular form factor plot and more discoidal and bladed in an axes ratio plot. Nevertheless, addition of 10 cm to near rim rock heights to account for continued partial embedding in ejecta would result in rock shapes quite similar to terrestrial rocks. Consistency between degradation estimates based on current rock relief and rock shape after accounting for partial embedding in ejecta indicates up to ~30-40 cm early (~0.1 Ga) near-rim deflation was followed by much lesser long-term degradation.

Published
2021

35. Geology of the InSight landing site on Mars

Author

UCL - SST/ELI/ELIC - Earth & Climate, Golombek, M., Warner, N. H., Grant, J. A., Hauber, E., Ansan, V., Weitz, C. M., Williams, N., Charalambous, C., Wilson, S. A., DeMott, A., Kopp, M., Lethcoe-Wilson, H., Berger, L., Hausmann, R., Marteau, E., Vrettos, C., Trussell, A., Folkner, W., Le Maistre, Sébastien, Mueller, N., Grott, M., Spohn, T., Piqueux, S., Millour, E., Forget, F., Daubar, I., Murdoch, N., Lognonné, P., Perrin, C., Rodriguez, S., Pike, W. T., Parker, T., Maki, J., Abarca, H., Deen, R., Hall, J., Andres, P., Ruoff, N., Calef, F., Smrekar, S., Baker, M. M., Banks, M., Spiga, A., Banfield, D., Garvin, J., Newman, C. E., Banerdt, W. B., UCL - SST/ELI/ELIC - Earth & Climate, Golombek, M., Warner, N. H., Grant, J. A., Hauber, E., Ansan, V., Weitz, C. M., Williams, N., Charalambous, C., Wilson, S. A., DeMott, A., Kopp, M., Lethcoe-Wilson, H., Berger, L., Hausmann, R., Marteau, E., Vrettos, C., Trussell, A., Folkner, W., Le Maistre, Sébastien, Mueller, N., Grott, M., Spohn, T., Piqueux, S., Millour, E., Forget, F., Daubar, I., Murdoch, N., Lognonné, P., Perrin, C., Rodriguez, S., Pike, W. T., Parker, T., Maki, J., Abarca, H., Deen, R., Hall, J., Andres, P., Ruoff, N., Calef, F., Smrekar, S., Baker, M. M., Banks, M., Spiga, A., Banfield, D., Garvin, J., Newman, C. E., and Banerdt, W. B.

Abstract

The Interior Exploration using Seismic Investigations, Geodesy and Heat Transport (InSight) spacecraft landed successfully on Mars and imaged the surface to characterize the surficial geology. Here we report on the geology and subsurface structure of the landing site to aid in situ geophysical investigations. InSight landed in a degraded impact crater in Elysium Planitia on a smooth sandy, granule- and pebble-rich surface with few rocks. Superposed impact craters are common and eolian bedforms are sparse. During landing, pulsed retrorockets modified the surface to reveal a near surface stratigraphy of surficial dust, over thin unconsolidated sand, underlain by a variable thickness duricrust, with poorly sorted, unconsolidated sand with rocks beneath. Impact, eolian, and mass wasting processes have dominantly modified the surface. Surface observations are consistent with expectations made from remote sensing data prior to landing indicating a surface composed of an impact-fragmented regolith overlying basaltic lava flows.

Published
2020

36. Location and Setting of the Mars InSight Lander, Instruments, and Landing Site

Author

Golombek, M., Williams, N., Warner, N.H., Parker, T., Williams, M.G, Daubar, I., Calef, F.J., Grant, J., Bailey, P., Abarca, H., Deen, R., Ruoff, N., Maki, Justin, McEwen, A., Baugh, N., Block, K, Tamppari, L., Call, J., Ladewig, J., Stoltz, A., Weems, W.A., Mora Sotomayor, Luis, Torres, J., Johnson, M., Kennedy, T, Sklyanskiy, E., Golombek, M., Williams, N., Warner, N.H., Parker, T., Williams, M.G, Daubar, I., Calef, F.J., Grant, J., Bailey, P., Abarca, H., Deen, R., Ruoff, N., Maki, Justin, McEwen, A., Baugh, N., Block, K, Tamppari, L., Call, J., Ladewig, J., Stoltz, A., Weems, W.A., Mora Sotomayor, Luis, Torres, J., Johnson, M., Kennedy, T, and Sklyanskiy, E.

Abstract

Knowing precisely where a spacecraft lands on Mars is important for understanding the regional and local context, setting, and the offset between the inertial and cartographic frames. For the InSight spacecraft, the payload of geophysical and environmental sensors also particularly benefits from knowing exactly where the instruments are located. A ~30 cm/pixel image acquired from orbit after landing clearly resolves the lander and the large circular solar panels. This image was carefully georeferenced to a hierarchically generated and coregistered set of decreasing resolution orthoimages and digital elevation models to the established positive east, planetocentric coordinate system. The lander is located at 4.502384°N, 135.623447°E at an elevation of −2,613.426 m with respect to the geoid in Elysium Planitia. Instrument locations (and the magnetometer orientation) are derived by transforming from Instrument Deployment Arm, spacecraft mechanical, and site frames into the cartographic frame. A viewshed created from 1.5 m above the lander and the high-resolution orbital digital elevation model shows the lander is on a shallow regional slope down to the east that reveals crater rims on the east horizon ~400 m and 2.4 km away. A slope up to the north limits the horizon to about 50 m away where three rocks and an eolian bedform are visible on the rim of a degraded crater rim. Azimuths to rocks and craters identified in both surface panoramas and high-resolution orbital images reveal that north in the site frame and the cartographic frame are the same (within 1°).

Published
2020

37. Mars Hand Lens Imager (MAHLI) efforts and observations at the “Rocknest' Eolian sand shadow in Curiosity’s Gale Crater field site

Author

Harker, D. E, Herkenhoff, K. E, Herrera, P. N, Hurowitz, J. A, Jandura, L, Krezoski, G. M, Lewis, K. W, Madsen, M. B, Maki, J. N, Malin, M. C, Ming, D. W, Nixon, B. E, Olson, T. S, Pariser, O, Posiolova, L. V, Ravine, M. A, Robinson, M. L, Roumeliotis, C, Rowland, S. K, Rubin, D. M, Ruoff, N. A, Seybold, C. C, Schieber, J, Schmidt, M. E, Sengstacken, A. J, Simmonds, J. J, Sullivan, R. J, Tompkins, V. V, Van Beek, T. L, Edgett, K. S, Yingst, R. A, Minitti, M. E, Goetz, W, Kah, L. C, Kennedy, M. R, Lipkaman, L. J, Jensen, E. H, Anderson, R. C, Beegle, L. W, Carsten, J. L, Cooper, B, Deen, R. G, Dromart, G, Eigenbrode, J. L, Grotzinger, J. P, Grupta, S, Hamilton, V. E, and Hardgrove, C. J

Abstract

The Mars Science Laboratory (MSL) mission is focused on assessing the past or present habitability of Mars, through interrogation of environment and environmental records at the Curiosity rover field site in Gale crater. The MSL team has two methods available to collect, process and deliver samples to onboard analytical laboratories, the Chemistry and Mineralogy instrument (CheMin) and the Sample Analysis at Mars (SAM) instrument suite. One approach obtains samples by drilling into a rock, the other uses a scoop to collect loose regolith fines.

Published
2013

38. Mars Hand Lens Imager (MAHLI) efforts and observations at the “Rocknest' Eolian sand shadow in Curiosity’s Gale Crater field site

Author

Edgett, K. S, Yingst, R. A, Minitti, M. E, Goetz, W, Kah, L. C, Kennedy, M. R, Lipkaman, L. J, Jensen, E. H, Anderson, R. C, Beegle, L. W, Carsten, J. L, Cooper, B, Deen, R. G, Dromart, G, Eigenbrode, J. L, Grotzinger, J. P, Grupta, S, Hamilton, V. E, Hardgrove, C. J, Harker, D. E, Herkenhoff, K. E, Herrera, P. N, Hurowitz, J. A, Jandura, L, Krezoski, G. M, Lewis, K. W, Madsen, M. B, Maki, J. N, Malin, M. C, Ming, D. W, Nixon, B. E, Olson, T. S, Pariser, O, Posiolova, L. V, Ravine, M. A, Robinson, M. L, Roumeliotis, C, Rowland, S. K, Rubin, D. M, Ruoff, N. A, Seybold, C. C, Schieber, J, Schmidt, M. E, Sengstacken, A. J, Simmonds, J. J, Sullivan, R. J, Tompkins, V. V, and Van Beek, T. L

Published
2013

39. Curiosity's Mars Hand Lens Imager (MAHLI): Inital Observations and Activities

Author

Edgett, K. S, Yingst, R. A, Minitti, M. E, Robinson, M. L, Kennedy, M. R, Lipkaman, L. J, Jensen, E. H, Anderson, R. C, Bean, K. M, Beegle, L. W, Carsten, J. L, Collins, C. L, Cooper, B, Deen, R. G, and Gupta, S

Subjects
Lunar And Planetary Science And Exploration
Abstract

MAHLI (Mars Hand Lens Imager) is a 2-megapixel focusable macro lens color camera on the turret on Curiosity's robotic arm. The investigation centers on stratigraphy, grain-scale texture, structure, mineralogy, and morphology of geologic materials at Curiosity's Gale robotic field site. MAHLI acquires focused images at working distances of 2.1 cm to infinity; for reference, at 2.1 cm the scale is 14 microns/pixel; at 6.9 cm it is 31 microns/pixel, like the Spirit and Opportunity Microscopic Imager (MI) cameras.

Published
2013

40. Location and Setting of the Mars InSight Lander, Instruments, and Landing Site

Author

Golombek, M., primary, Williams, N., additional, Warner, N. H., additional, Parker, T., additional, Williams, M. G., additional, Daubar, I., additional, Calef, F., additional, Grant, J., additional, Bailey, P., additional, Abarca, H., additional, Deen, R., additional, Ruoff, N., additional, Maki, J., additional, McEwen, A., additional, Baugh, N., additional, Block, K., additional, Tamppari, L., additional, Call, J., additional, Ladewig, J., additional, Stoltz, A., additional, Weems, W. A., additional, Mora‐Sotomayor, L., additional, Torres, J., additional, Johnson, M., additional, Kennedy, T., additional, and Sklyanskiy, E., additional

Published
2020
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43. Surface Alteration from Landing InSight on Mars and Its Implications for Shallow Regolith Structure

Author

Williams, Nathan, Golombek, M., Warner, N., Daubar, Ingrid, Hausman, R. B., Hauber, Ernst, Ansan, Veronique, Grant, J.A., Weitz, C., Wilson, S, Charalambous, C., Pike, T., Lorenz, R. D., Maki, J.N., Abarca, H.E., Ruoff, N.A., Deen, R., Garvin, J., Parker, T.J., Calef, Fred, Lethcoe-Wilson, H., Berger, L., DeMott, A., and Kopp, M.

Subjects
Surface, Planetengeologie, Mars, Alteration, Regolith, InSight
Published
2019

47. Near real-time parallel image processing using cluster computers

Author

Klimeck, G, Oyafuso, F, McAuley, M, Deen, R, Yagi, G, DeJong, E, and Cwik, T. A

Abstract

The utility of cluster computers (Beowulfs) for efficient parallel image processing of large-scale mosaics and stereo image correlations is presented.

Published
2003

48. Cost savings through multimission code reuse for Mars image products

Author

Deen, R. G

Subjects
Lunar And Planetary Science And Exploration
Abstract

An overview of the library's design will be presented, along with mission adaptation experiences and lessons learned, and the kinds of additional functionality that have been added while still retaining its multimission character. The application programs using the library will also be briefly described.

Published
2003

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