6 results on '"Narayanan S. M."'
Search Results
2. Divorce Astrologer: Machine Learning based Divorce Prediction of Married Couples
- Author
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Oswald, C., primary, Baranwal, Shivam, additional, Narayanan, S M Satya Sree, additional, and Bhattacharya, Arnab, additional
- Published
- 2022
- Full Text
- View/download PDF
3. Pile-up mitigation using attention
- Author
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Maier, B, primary, Narayanan, S M, additional, de Castro, G, additional, Goncharov, M, additional, Paus, Ch, additional, and Schott, M, additional
- Published
- 2022
- Full Text
- View/download PDF
4. Бактерицидные свойства пленки из аморфного (SP2) наноуглерода, полученного при помощи высоковольстного многоискрового разряда в этаноле
- Author
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Christofi, N., Barlow, P., Athi-Narayanan S M, and Ponard, M.
- Published
- 2020
- Full Text
- View/download PDF
5. Deposition of thin films of nanoscale carbon onto solid samples as a method of suppressing surface colonization of bacteria
- Author
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Anpilov, A M, primary, Barkhudarov, E M, additional, Cristofi, N, additional, Ivashkin, P I, additional, Moryakov, I V, additional, Barlow, P B, additional, Kossyi, I A, additional, Misakyan, M A, additional, Yarkova, T A, additional, Athi Narayanan, S M, additional, and Ponard, M, additional
- Published
- 2020
- Full Text
- View/download PDF
6. Dark Matter benchmark models for early LHC Run-2 Searches: Report of the ATLAS/CMS Dark Matter Forum
- Author
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Abercrombie, D, Akchurin, N, Akilli, E, Maestre, J, Allen, B, Gonzalez, B, Andrea, J, Arbey, A, Azuelos, G, Azzi, P, Backovic, M, Bai, Y, Banerjee, S, Beacham, J, Belyaev, A, Boveia, A, Brennan, A, Buchmueller, O, Buckley, M, Busoni, G, Buttignol, M, Cacciapaglia, G, Caputo, R, Carpenter, L, Castro, N, Ceballos, G, Cheng, Y, Chou, J, Gonzalez, A, Cowden, C, D'Eramo, F, De Cosa, A, De Gruttola, M, De Roeck, A, De Simone, A, Deandrea, A, Demiragli, Z, Difranzo, A, Doglioni, C, du Pree, T, Erbacher, R, Erdmann, J, Fischer, C, Flaecher, H, Fox, P, Fuks, B, Genest, M, Gomber, B, Goudelis, A, Gramling, J, Gunion, J, Hahn, K, Haisch, U, Harnik, R, Harris, P, Hoepfner, K, Hoh, S, Hsu, D, Hsu, S, Iiyama, Y, Ippolito, V, Jacques, T, Ju, X, Kahlhoefer, F, Kalogeropoulos, A, Kaplan, L, Kashif, L, Khoze, V, Khurana, R, Kotov, K, Kovalskyi, D, Kulkarni, S, Kunori, S, Kutzner, V, Lee, H, Lee, S, Liew, S, Lin, T, Lowette, S, Madar, R, Malik, S, Maltoni, F, Perez, M, Mattelaer, O, Mawatari, K, Mccabe, C, Megy, T, Morgante, E, Mrenna, S, Moon, C, Narayanan, S, Nelson, A, Novaes, S, Padeken, K, Pani, P, Papucci, M, Paulini, M, Paus, C, Pazzini, J, Penning, B, Peskin, M, Pinna, D, Procura, M, Qazi, S, Racco, D, Re, E, Riotto, A, Rizzo, T, Roehrig, R, Salek, D, Pineda, A, Sarkar, S, Schmidt, A, Schramm, S, Shepherd, W, Singh, G, Soffi, L, Srimanobhas, N, Sung, K, Tait, T, Theveneaux-Pelzer, T, Thomas, M, Tosi, M, Trocino, D, Undleeb, S, Vichi, A, Wang, F, Wang, L, Wang, R, Whallon, N, Worm, S, Wu, M, Wu, S, Yang, H, Yang, Y, Yu, S, Zaldivar, B, Zanetti, M, Zhang, Z, Zucchetta, A, Abercrombie D., Akchurin N., Akilli E., Maestre J. A., Allen B., Gonzalez B. A., Andrea J., Arbey A., Azuelos G., Azzi P., Backovic M., Bai Y., Banerjee S., Beacham J., Belyaev A., Boveia A., Brennan A. J., Buchmueller O., Buckley M. R., Busoni G., Buttignol M., Cacciapaglia G., Caputo R., Carpenter L., Castro N. F., Ceballos G. G., Cheng Y., Chou J. P., Gonzalez A. C., Cowden C., D'Eramo F., De Cosa A., De Gruttola M., De Roeck A., De Simone A., Deandrea A., Demiragli Z., DiFranzo A., Doglioni C., du Pree T., Erbacher R., Erdmann J., Fischer C., Flaecher H., Fox P. J., Fuks B., Genest M. -H., Gomber B., Goudelis A., Gramling J., Gunion J., Hahn K., Haisch U., Harnik R., Harris P. C., Hoepfner K., Hoh S. Y., Hsu D. G., Hsu S. -C., Iiyama Y., Ippolito V., Jacques T., Ju X., Kahlhoefer F., Kalogeropoulos A., Kaplan L. S., Kashif L., Khoze V. V., Khurana R., Kotov K., Kovalskyi D., Kulkarni S., Kunori S., Kutzner V., Lee H. M., Lee S. -W., Liew S. P., Lin T., Lowette S., Madar R., Malik S., Maltoni F., Perez M. M., Mattelaer O., Mawatari K., McCabe C., Megy T., Morgante E., Mrenna S., Moon C. -S., Narayanan S. M., Nelson A., Novaes S. F., Padeken K. O., Pani P., Papucci M., Paulini M., Paus C., Pazzini J., Penning B., Peskin M. E., Pinna D., Procura M., Qazi S. F., Racco D., Re E., Riotto A., Rizzo T. G., Roehrig R., Salek D., Pineda A. S., Sarkar S., Schmidt A., Schramm S. R., Shepherd W., Singh G., Soffi L., Srimanobhas N., Sung K., Tait T. M. P., Theveneaux-Pelzer T., Thomas M., Tosi M., Trocino D., Undleeb S., Vichi A., Wang F., Wang L. -T., Wang R. -J., Whallon N., Worm S., Wu M., Wu S. L., Yang H., Yang Y., Yu S. -S., Zaldivar B., Zanetti M., Zhang Z., Zucchetta A., Abercrombie, D, Akchurin, N, Akilli, E, Maestre, J, Allen, B, Gonzalez, B, Andrea, J, Arbey, A, Azuelos, G, Azzi, P, Backovic, M, Bai, Y, Banerjee, S, Beacham, J, Belyaev, A, Boveia, A, Brennan, A, Buchmueller, O, Buckley, M, Busoni, G, Buttignol, M, Cacciapaglia, G, Caputo, R, Carpenter, L, Castro, N, Ceballos, G, Cheng, Y, Chou, J, Gonzalez, A, Cowden, C, D'Eramo, F, De Cosa, A, De Gruttola, M, De Roeck, A, De Simone, A, Deandrea, A, Demiragli, Z, Difranzo, A, Doglioni, C, du Pree, T, Erbacher, R, Erdmann, J, Fischer, C, Flaecher, H, Fox, P, Fuks, B, Genest, M, Gomber, B, Goudelis, A, Gramling, J, Gunion, J, Hahn, K, Haisch, U, Harnik, R, Harris, P, Hoepfner, K, Hoh, S, Hsu, D, Hsu, S, Iiyama, Y, Ippolito, V, Jacques, T, Ju, X, Kahlhoefer, F, Kalogeropoulos, A, Kaplan, L, Kashif, L, Khoze, V, Khurana, R, Kotov, K, Kovalskyi, D, Kulkarni, S, Kunori, S, Kutzner, V, Lee, H, Lee, S, Liew, S, Lin, T, Lowette, S, Madar, R, Malik, S, Maltoni, F, Perez, M, Mattelaer, O, Mawatari, K, Mccabe, C, Megy, T, Morgante, E, Mrenna, S, Moon, C, Narayanan, S, Nelson, A, Novaes, S, Padeken, K, Pani, P, Papucci, M, Paulini, M, Paus, C, Pazzini, J, Penning, B, Peskin, M, Pinna, D, Procura, M, Qazi, S, Racco, D, Re, E, Riotto, A, Rizzo, T, Roehrig, R, Salek, D, Pineda, A, Sarkar, S, Schmidt, A, Schramm, S, Shepherd, W, Singh, G, Soffi, L, Srimanobhas, N, Sung, K, Tait, T, Theveneaux-Pelzer, T, Thomas, M, Tosi, M, Trocino, D, Undleeb, S, Vichi, A, Wang, F, Wang, L, Wang, R, Whallon, N, Worm, S, Wu, M, Wu, S, Yang, H, Yang, Y, Yu, S, Zaldivar, B, Zanetti, M, Zhang, Z, Zucchetta, A, Abercrombie D., Akchurin N., Akilli E., Maestre J. A., Allen B., Gonzalez B. A., Andrea J., Arbey A., Azuelos G., Azzi P., Backovic M., Bai Y., Banerjee S., Beacham J., Belyaev A., Boveia A., Brennan A. J., Buchmueller O., Buckley M. R., Busoni G., Buttignol M., Cacciapaglia G., Caputo R., Carpenter L., Castro N. F., Ceballos G. G., Cheng Y., Chou J. P., Gonzalez A. C., Cowden C., D'Eramo F., De Cosa A., De Gruttola M., De Roeck A., De Simone A., Deandrea A., Demiragli Z., DiFranzo A., Doglioni C., du Pree T., Erbacher R., Erdmann J., Fischer C., Flaecher H., Fox P. J., Fuks B., Genest M. -H., Gomber B., Goudelis A., Gramling J., Gunion J., Hahn K., Haisch U., Harnik R., Harris P. C., Hoepfner K., Hoh S. Y., Hsu D. G., Hsu S. -C., Iiyama Y., Ippolito V., Jacques T., Ju X., Kahlhoefer F., Kalogeropoulos A., Kaplan L. S., Kashif L., Khoze V. V., Khurana R., Kotov K., Kovalskyi D., Kulkarni S., Kunori S., Kutzner V., Lee H. M., Lee S. -W., Liew S. P., Lin T., Lowette S., Madar R., Malik S., Maltoni F., Perez M. M., Mattelaer O., Mawatari K., McCabe C., Megy T., Morgante E., Mrenna S., Moon C. -S., Narayanan S. M., Nelson A., Novaes S. F., Padeken K. O., Pani P., Papucci M., Paulini M., Paus C., Pazzini J., Penning B., Peskin M. E., Pinna D., Procura M., Qazi S. F., Racco D., Re E., Riotto A., Rizzo T. G., Roehrig R., Salek D., Pineda A. S., Sarkar S., Schmidt A., Schramm S. R., Shepherd W., Singh G., Soffi L., Srimanobhas N., Sung K., Tait T. M. P., Theveneaux-Pelzer T., Thomas M., Tosi M., Trocino D., Undleeb S., Vichi A., Wang F., Wang L. -T., Wang R. -J., Whallon N., Worm S., Wu M., Wu S. L., Yang H., Yang Y., Yu S. -S., Zaldivar B., Zanetti M., Zhang Z., and Zucchetta A.
- Abstract
This document is the final report of the ATLAS-CMS Dark Matter Forum, a forum organized by the ATLAS and CMS collaborations with the participation of experts on theories of Dark Matter, to select a minimal basis set of dark matter simplified models that should support the design of the early LHC Run-2 searches. A prioritized, compact set of benchmark models is proposed, accompanied by studies of the parameter space of these models and a repository of generator implementations. This report also addresses how to apply the Effective Field Theory formalism for collider searches and present the results of such interpretations.
- Published
- 2020
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