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

Spectral Imaging with QUBIC: building astrophysical components from Time-Ordered-Data using Bolometric Interferometry

Autor: Regnier, M., Laclavere, T., Hamilton, J-Ch., Bunn, E., Chabirand, V., Chanial, P., Goetz, L., Kardum, L., Masson, P., Granese, N. Miron, Scóccola, C. G., Torchinsky, S. A., Battistelli, E., Bersanelli, M., Columbro, F., Coppolecchia, A., Costanza, B., De Bernardis, P., De Gasperis, G., Ferazzoli, S., Flood, A., Ganga, K., Gervasi, M., Grandsire, L., Manzan, E ., Masi, S., Mennella, A., Mousset, L., O'Sullivan, C., Paiella, A., Piacentini, F., Piat, M., Piccirillo, L., Rasztocky, E., Stolpovskiy, M., Zannoni, M.

The detection of B-modes in the CMB polarization pattern is a major issue in modern cosmology and must therefore be handled with analytical methods that produce reliable results. We describe a method that uses the frequency dependency of the QUBIC sy

Externí odkaz: http://arxiv.org/abs/2409.18714

Enhanced control of single-molecule emission frequency and spectral diffusion

Autor: Duquennoy, Rocco, Landrieux, Simon, De Bernardis, Daniele, Mony, Juergen, Colautti, Maja, Jin, Lin, Pernice, Wolfram H. P., Toninelli, Costanza

The Stark effect provides a powerful method to shift the spectra of molecules, atoms and electronic transitions in general, becoming one of the simplest and most straightforward way to tune the frequency of quantum emitters by means of a static elect

Externí odkaz: http://arxiv.org/abs/2409.01840

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

Automating Weak Label Generation for Data Programming with Clinicians in the Loop

Autor: Park, Jean, Pugh, Sydney, Sridhar, Kaustubh, Liu, Mengyu, Yarna, Navish, Kaur, Ramneet, Dutta, Souradeep, Bernardis, Elena, Sokolsky, Oleg, Lee, Insup

Large Deep Neural Networks (DNNs) are often data hungry and need high-quality labeled data in copious amounts for learning to converge. This is a challenge in the field of medicine since high quality labeled data is often scarce. Data programming has

Externí odkaz: http://arxiv.org/abs/2407.07982