Requirements on the gain calibration for LiteBIRD polarisation data with blind component separation

Autor: Carralot, F., Carones, A., Krachmalnicoff, N., Ghigna, T., Novelli, A., Pagano, L., Piacentini, F., Baccigalupi, C., Adak, D., Anand, A., Aumont, J., Azzoni, S., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Basyrov, A., Bersanelli, M., Bortolami, M., Brinckmann, T., Cacciotti, F., Campeti, P., Carinos, E., Casas, F. J., Cheung, K., Clermont, L., Columbro, F., Conenna, G., Coppi, G., Coppolecchia, A., Cuttaia, F., de Bernardis, P., De Lucia, M., Della Torre, S., Di Giorgi, E., Diego-Palazuelos, P., Essinger-Hileman, T., Ferreira, E., Finelli, F., Franceschet, C., Galloni, G., Galloway, M., Gervasi, M., Génova-Santos, R. T., Giardiello, S., Gimeno-Amo, C., Gjerløw, E., Gruppuso, A., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Hivon, E., Ishino, H., Jost, B., Kohri, K., Lamagna, L., Leloup, C., Lembo, M., Levrier, F., Lonappan, A. I., López-Caniego, M., Luzzi, G., Macias-Perez, J., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Micheli, S., Monelli, M., Montier, L., Morgante, G., Mot, B., Mousset, L., Nagano, Y., Nagata, R., Namikawa, T., Natoli, P., Obata, I., Occhiuzzi, A., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Patanchon, G., Pavlidou, V., Pisano, G., Polenta, G., Porcelli, L., Puglisi, G., Raffuzzi, N., Remazeilles, M., Rubiño-Martín, J. A., Ruiz-Granda, M., Sanghavi, J., Scott, D., Shiraishi, M., Sullivan, R. M., Takase, Y., Tassis, K., Terenzi, L., Tomasi, M., Tristram, M., Vacher, L., van Tent, B., Vielva, P., Weymann-Despres, G., Wollack, E. J., Zannoni, M., Zhou, Y.

Future cosmic microwave background (CMB) experiments are primarily targeting a detection of the primordial $B$-mode polarisation. The faintness of this signal requires exquisite control of systematic effects which may bias the measurements. In this w

Externí odkaz: http://arxiv.org/abs/2411.02080

Machine Learning Model for Complete Reconstruction of Diagnostic Polarimetric Images from partial Mueller polarimetry data

Autor: Chae, Sooyong, Huang, Tongyu, Rodrıguez-Nunez, Omar, Lucas, Théotim, Vanel, Jean-Charles, Vizet, Jérémy, Pierangelo, Angelo, Piavchenko, Gennadii, Genova, Tsanislava, Ajmal, Ajmal, Ramella-Roman, Jessica C., Doronin, Alexander, Ma, Hui, Novikova, Tatiana

The translation of imaging Mueller polarimetry to clinical practice is often hindered by large footprint and relatively slow acquisition speed of the existing instruments. Using polarization-sensitive camera as a detector may reduce instrument dimens

Externí odkaz: http://arxiv.org/abs/2409.13073

Combining audio control and style transfer using latent diffusion

Autor: Demerlé, Nils, Esling, Philippe, Doras, Guillaume, Genova, David

Publikováno v: Proceedings of the 25th Int. Society for Music Information Retrieval Conference, San Francisco, United States, 2024

Deep generative models are now able to synthesize high-quality audio signals, shifting the critical aspect in their development from audio quality to control capabilities. Although text-to-music generation is getting largely adopted by the general pu

Externí odkaz: http://arxiv.org/abs/2408.00196

LiteBIRD Science Goals and Forecasts. Mapping the Hot Gas in the Universe

Autor: Remazeilles, M., Douspis, M., Rubiño-Martín, J. A., Banday, A. J., Chluba, J., de Bernardis, P., De Petris, M., Hernández-Monteagudo, C., Luzzi, G., Macias-Perez, J., Masi, S., Namikawa, T., Salvati, L., Tanimura, H., Aizawa, K., Anand, A., Aumont, J., Baccigalupi, C., Ballardini, M., Barreiro, R. B., Bartolo, N., Basak, S., Bersanelli, M., Blinov, D., Bortolami, M., Brinckmann, T., Calabrese, E., Campeti, P., Carinos, E., Carones, A., Casas, F. J., Cheung, K., Clermont, L., Columbro, F., Coppolecchia, A., Cuttaia, F., de Haan, T., de la Hoz, E., Della Torre, S., Diego-Palazuelos, P., D'Alessandro, G., Eriksen, H. K., Finelli, F., Fuskeland, U., Galloni, G., Galloway, M., Gervasi, M., Génova-Santos, R. T., Ghigna, T., Giardiello, S., Gimeno-Amo, C., Gjerløw, E., González, R. González, Gruppuso, A., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Herranz, D., Kohri, K., Komatsu, E., Lamagna, L., Lattanzi, M., Leloup, C., Levrier, F., Lonappan, A. I., López-Caniego, M., Maffei, B., Martínez-González, E., Matarrese, S., Matsumura, T., Micheli, S., Migliaccio, M., Monelli, M., Montier, L., Morgante, G., Nagano, Y., Nagata, R., Novelli, A., Omae, R., Pagano, L., Paoletti, D., Pavlidou, V., Piacentini, F., Pinchera, M., Polenta, G., Porcelli, L., Ritacco, A., Ruiz-Granda, M., Sakurai, Y., Scott, D., Shiraishi, M., Stever, S. L., Sullivan, R. M., Takase, Y., Tassis, K., Terenzi, L., Tomasi, M., Tristram, M., Vacher, L., van Tent, B., Vielva, P., Wehus, I. K., Westbrook, B., Weymann-Despres, G., Wollack, E. J., Zannoni, M., Zhou, Y.

We assess the capabilities of the LiteBIRD mission to map the hot gas distribution in the Universe through the thermal Sunyaev-Zeldovich (SZ) effect. Our analysis relies on comprehensive simulations incorporating various sources of Galactic and extra

Externí odkaz: http://arxiv.org/abs/2407.17555

Vision-Based Adaptive Robotics for Autonomous Surface Crack Repair

Autor: Genova, Joshua, Cabrera, Eric, Hoskere, Vedhus

Surface cracks in infrastructure can lead to significant deterioration and costly maintenance if not efficiently repaired. Manual repair methods are labor-intensive, time-consuming, and imprecise and thus difficult to scale to large areas. While adva

Externí odkaz: http://arxiv.org/abs/2407.16874