PyTorchDIA: a flexible, GPU-accelerated numerical approach to Difference Image Analysis
We present a GPU-accelerated numerical approach for fast kernel and differential background solutions. The model image proposed in the Bramich Difference Image Analysis (DIA) algorithm is analogous to a very simple convolutional neural network (CNN), with a single convolutional filter (i.e. the kern...
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
21 April 2021
|
| In: |
Monthly notices of the Royal Astronomical Society
Year: 2021, Jahrgang: 504, Heft: 3, Pages: 3561-3579 |
| ISSN: | 1365-2966 |
| DOI: | 10.1093/mnras/stab1114 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/mnras/stab1114
|
| Verfasserangaben: | James A. Hitchcock, Markus Hundertmark, Daniel Foreman-Mackey, Etienne Bachelet, Martin Dominik, Rachel Street and Yiannis Tsapras |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1765412838 | ||
| 003 | DE-627 | ||
| 005 | 20220820030659.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210804s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1093/mnras/stab1114 |2 doi | |
| 035 | |a (DE-627)1765412838 | ||
| 035 | |a (DE-599)KXP1765412838 | ||
| 035 | |a (OCoLC)1341419984 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 29 |2 sdnb | ||
| 100 | 1 | |a Hitchcock, James |e VerfasserIn |0 (DE-588)1219930717 |0 (DE-627)1736028197 |4 aut | |
| 245 | 1 | 0 | |a PyTorchDIA |b a flexible, GPU-accelerated numerical approach to Difference Image Analysis |c James A. Hitchcock, Markus Hundertmark, Daniel Foreman-Mackey, Etienne Bachelet, Martin Dominik, Rachel Street and Yiannis Tsapras |
| 264 | 1 | |c 21 April 2021 | |
| 300 | |a 19 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 04.08.2021 | ||
| 520 | |a We present a GPU-accelerated numerical approach for fast kernel and differential background solutions. The model image proposed in the Bramich Difference Image Analysis (DIA) algorithm is analogous to a very simple convolutional neural network (CNN), with a single convolutional filter (i.e. the kernel) and an added scalar bias (i.e. the differential background). Here, we do not solve for the discrete pixel array in the classical, analytical linear least-squares sense. Instead, by making use of PyTorch tensors (GPU compatible multidimensional matrices) and associated deep learning tools, we solve for the kernel via an inherently massively parallel optimization. By casting the DIA problem as a GPU-accelerated optimization that utilizes automatic differentiation tools, our algorithm is both flexible to the choice of scalar objective function, and can perform DIA on astronomical data sets at least an order of magnitude faster than its classical analogue. More generally, we demonstrate that tools developed for machine learning can be used to address generic data analysis and modelling problems. | ||
| 700 | 1 | |a Hundertmark, Markus |e VerfasserIn |0 (DE-588)1138794627 |0 (DE-627)896371042 |0 (DE-576)492681937 |4 aut | |
| 700 | 1 | |a Foreman-Mackey, Daniel |e VerfasserIn |4 aut | |
| 700 | 1 | |a Bachelet, Etienne |e VerfasserIn |4 aut | |
| 700 | 1 | |a Dominik, Martin |e VerfasserIn |4 aut | |
| 700 | 1 | |a Street, Rachel |e VerfasserIn |4 aut | |
| 700 | 1 | |a Tsapras, Yiannis |d 1975- |e VerfasserIn |0 (DE-588)1093855932 |0 (DE-627)853882037 |0 (DE-576)407996400 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |a Royal Astronomical Society |t Monthly notices of the Royal Astronomical Society |d Oxford : Oxford Univ. Press, 1827 |g 504(2021), 3 vom: Juli, Seite 3561-3579 |h Online-Ressource |w (DE-627)314059164 |w (DE-600)2016084-7 |w (DE-576)090955420 |x 1365-2966 |7 nnas |
| 773 | 1 | 8 | |g volume:504 |g year:2021 |g number:3 |g month:07 |g pages:3561-3579 |g extent:19 |a PyTorchDIA a flexible, GPU-accelerated numerical approach to Difference Image Analysis |
| 856 | 4 | 0 | |u https://doi.org/10.1093/mnras/stab1114 |x Verlag |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20210804 | ||
| 993 | |a Article | ||
| 994 | |a 2021 | ||
| 998 | |g 1093855932 |a Tsapras, Yiannis |m 1093855932:Tsapras, Yiannis |d 700000 |d 714000 |d 714100 |e 700000PT1093855932 |e 714000PT1093855932 |e 714100PT1093855932 |k 0/700000/ |k 1/700000/714000/ |k 2/700000/714000/714100/ |p 7 |y j | ||
| 998 | |g 1138794627 |a Hundertmark, Markus |m 1138794627:Hundertmark, Markus |d 700000 |d 714000 |d 714100 |e 700000PH1138794627 |e 714000PH1138794627 |e 714100PH1138794627 |k 0/700000/ |k 1/700000/714000/ |k 2/700000/714000/714100/ |p 2 | ||
| 999 | |a KXP-PPN1765412838 |e 3961551960 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"id":{"doi":["10.1093/mnras/stab1114"],"eki":["1765412838"]},"note":["Gesehen am 04.08.2021"],"language":["eng"],"recId":"1765412838","name":{"displayForm":["James A. Hitchcock, Markus Hundertmark, Daniel Foreman-Mackey, Etienne Bachelet, Martin Dominik, Rachel Street and Yiannis Tsapras"]},"relHost":[{"type":{"bibl":"periodical","media":"Online-Ressource"},"disp":"Royal Astronomical SocietyMonthly notices of the Royal Astronomical Society","physDesc":[{"extent":"Online-Ressource"}],"note":["Gesehen am 15.01.2018"],"id":{"zdb":["2016084-7"],"eki":["314059164"],"doi":["10.1111/(ISSN)1365-2966"],"issn":["1365-2966"]},"recId":"314059164","origin":[{"dateIssuedDisp":"1827-","publisher":"Oxford Univ. Press ; Blackwell ; Wiley-Blackwell","publisherPlace":"Oxford ; Oxford [u.a.] ; Oxford [u.a.]","dateIssuedKey":"1827"}],"corporate":[{"display":"Royal Astronomical Society","roleDisplay":"VerfasserIn","role":"aut"}],"pubHistory":["1.1827 -"],"title":[{"title":"Monthly notices of the Royal Astronomical Society","title_sort":"Monthly notices of the Royal Astronomical Society"}],"part":{"volume":"504","year":"2021","extent":"19","issue":"3","text":"504(2021), 3 vom: Juli, Seite 3561-3579","pages":"3561-3579"},"language":["eng"]}],"origin":[{"dateIssuedKey":"2021","dateIssuedDisp":"21 April 2021"}],"type":{"media":"Online-Ressource","bibl":"article-journal"},"title":[{"subtitle":"a flexible, GPU-accelerated numerical approach to Difference Image Analysis","title":"PyTorchDIA","title_sort":"PyTorchDIA"}],"person":[{"roleDisplay":"VerfasserIn","given":"James","role":"aut","family":"Hitchcock","display":"Hitchcock, James"},{"family":"Hundertmark","display":"Hundertmark, Markus","given":"Markus","roleDisplay":"VerfasserIn","role":"aut"},{"role":"aut","given":"Daniel","roleDisplay":"VerfasserIn","family":"Foreman-Mackey","display":"Foreman-Mackey, Daniel"},{"display":"Bachelet, Etienne","family":"Bachelet","given":"Etienne","roleDisplay":"VerfasserIn","role":"aut"},{"display":"Dominik, Martin","family":"Dominik","role":"aut","roleDisplay":"VerfasserIn","given":"Martin"},{"role":"aut","roleDisplay":"VerfasserIn","given":"Rachel","family":"Street","display":"Street, Rachel"},{"roleDisplay":"VerfasserIn","given":"Yiannis","role":"aut","family":"Tsapras","display":"Tsapras, Yiannis"}],"physDesc":[{"extent":"19 S."}]} | ||
| SRT | |a HITCHCOCKJPYTORCHDIA2120 | ||