دورية أكاديمية
Foreground modelling via Gaussian process regression:An application to HERA data
| العنوان: | Foreground modelling via Gaussian process regression:An application to HERA data |
|---|---|
| المؤلفون: | Ghosh, Abhik, Mertens, Florent, Bernardi, Gianni, Santos, Mário G., Kern, Nicholas S., Carilli, Christopher L., Grobler, Trienko L., Koopmans, Léon V.E., Jacobs, Daniel C., Liu, Adrian, Parsons, Aaron R., Morales, Miguel F., Aguirre, James E., Dillon, Joshua S., Hazelton, Bryna J., Smirnov, Oleg M., Gehlot, Bharat K., Matika, Siyanda, Alexander, Paul, Ali, Zaki S., Beardsley, Adam P., Benefo, Roshan K., Billings, Tashalee S., Bowman, Judd D., Bradley, Richard F., Cheng, Carina, Chichura, Paul M., Deboer, David R., Acedo, Eloy De Lera, Ewall-Wice, Aaron, Fadana, Gcobisa, Fagnoni, Nicolas, Fortino, Austin F., Fritz, Randall, Furlanetto, Steve R., Gallardo, Samavarti, Glendenning, Brian, Gorthi, Deepthi, Greig, Bradley, Grobbelaar, Jasper, Hickish, Jack, Josaitis, Alec, Julius, Austin, Igarashi, Amy S., Kariseb, Maccalvin, Kohn, Saul A., Kolopanis, Matthew, Lekalake, Telalo, Loots, Anita, MacMahon, David, Malan, Lourence, Malgas, Cresshim, Maree, Matthys, Martinot, Zachary E., Mathison, Nathan, Matsetela, Eunice, Mesinger, Andrei, Neben, Abraham R., Nikolic, Bojan, Nunhokee, Chuneeta D., Patra, Nipanjana, Pieterse, Samantha, Razavi-Ghods, Nima, Ringuette, Jon, Robnett, James, Rosie, Kathryn, Sell, Raddwine, Smith, Craig, Syce, Angelo, Tegmark, Max, Thyagarajan, Nithyanandan, Williams, Peter K.G., Zheng, Haoxuan |
| المصدر: | Ghosh , A , Mertens , F , Bernardi , G , Santos , M G , Kern , N S , Carilli , C L , Grobler , T L , Koopmans , L V E , Jacobs , D C , Liu , A , Parsons , A R , Morales , M F , Aguirre , J E , Dillon , J S , Hazelton , B J , Smirnov , O M , Gehlot , B K , Matika , S , Alexander , P , Ali , Z S , Beardsley , A P .... |
| سنة النشر: | 2020 |
| المجموعة: | University of Groningen research database |
| مصطلحات موضوعية: | cosmology: observations, dark ages, reionization, first stars, diffuse radiation, instrumentation: interferometers, large-scale structure of Universe, methods: statistical |
| الوصف: | The key challenge in the observation of the redshifted 21-cm signal from cosmic reionization is its separation from the much brighter foreground emission. Such separation relies on the different spectral properties of the two components, although, in real life, the foreground intrinsic spectrum is often corrupted by the instrumental response, inducing systematic effects that can further jeopardize the measurement of the 21-cm signal. In this paper, we use Gaussian Process Regression to model both foreground emission and instrumental systematics in ∼2 h of data from the Hydrogen Epoch of Reionization Array. We find that a simple co-variance model with three components matches the data well, giving a residual power spectrum with white noise properties. These consist of an 'intrinsic' and instrumentally corrupted component with a coherence scale of 20 and 2.4 MHz, respectively (dominating the line-of-sight power spectrum over scales kâ ≤ 0.2 h cMpc-1) and a baseline-dependent periodic signal with a period of ∼1 MHz (dominating over kâ ∼0.4-0.8 h cMpc-1), which should be distinguishable from the 21-cm Epoch of Reionization signal whose typical coherence scale is ∼0.8 MHz. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://research.rug.nl/en/publications/f7be81ff-0aa2-4a7a-8765-e1c6a5465b2dTest |
| DOI: | 10.1093/mnras/staa1331 |
| الإتاحة: | https://doi.org/10.1093/mnras/staa1331Test https://hdl.handle.net/11370/f7be81ff-0aa2-4a7a-8765-e1c6a5465b2dTest https://research.rug.nl/en/publications/f7be81ff-0aa2-4a7a-8765-e1c6a5465b2dTest https://pure.rug.nl/ws/files/166755960/staa1331.pdfTest http://www.scopus.com/inward/record.url?scp=85091964744&partnerID=8YFLogxKTest |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.6E956552 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1093/mnras/staa1331 |
|---|