talk atlas

Author: MatthieuPE

config/_default/params.yaml

@@ -14,7 +14,7 @@ marketing:
     site_type: Person
     local_business_type: ''
     org_name: 'LPSC'
-    description: 'Welcome to the personal website of Matthieu Pelissier, an enthusiastic and passionate physics student.'
+    description: 'Welcome to the personal website of Matthieu Pelissier, physics PhD student.'
     twitter: ''
   analytics:
     google_analytics: ''

content/_index.md

@@ -67,7 +67,7 @@ sections:
   - block: collection
     id: talks
     content:
-      title: Recent & Upcoming Talks
+      title: Recent talks and presentations
       filters:
         folders:
           - event

content/event/LSSTFrance_jun24/index.md

@@ -21,7 +21,7 @@ publishDate: '2024-06-27T13:00:00Z'
 authors:
   - admin
 
-tags: []
+tags: [LSST, talk]
 
 # Is this a featured talk? (true/false)
 featured: false

content/event/LSSTFrance_nov24/index.md

@@ -21,7 +21,7 @@ publishDate: '2024-10-27T13:00:00Z'
 authors:
   - admin
 
-tags: []
+tags: [LSST, talk]
 
 # Is this a featured talk? (true/false)
 featured: false

content/event/altasworkshop/index.md

@@ -0,0 +1,57 @@
+---
+title: Atlas Hadronic Calibration Workshop (2023)
+
+event: Atlas Hadronic Calibration Workshop
+
+location: Valencia, Spain
+
+summary: Work presented by the supervisor of the project Pierre Antoine Delsart. 
+abstract: 'Introduce the resolution of differential equations on the calibration function, in order to homogenise the pipeline. The work was presented by project supervisor Pierre Antoine Delsart.'
+
+# Talk start and end times.
+#   End time can optionally be hidden by prefixing the line with `#`.
+date: '2023-09-03T13:00:00Z'
+#date_end: '2024-06-12T13:00:00Z'
+all_day: false
+
+# Schedule page publish date (NOT talk date).
+publishDate: '2023-09-03T13:00:00Z'
+
+authors:
+  - Pierre Antoine Delsart
+  - admin
+
+tags: [particles, ATLAS, internship]
+
+# Is this a featured talk? (true/false)
+featured: true
+
+
+
+#links:
+#  - icon: twitter
+#    icon_pack: fab
+#    name: Follow
+#    url: https://twitter.com/georgecushen
+url_code: ''
+url_pdf: ''
+url_slides: ''
+url_video: ''
+
+# Markdown Slides (optional).
+#   Associate this talk with Markdown slides.
+#   Simply enter your slide deck's filename without extension.
+#   E.g. `slides = "example-slides"` references `content/slides/example-slides.md`.
+#   Otherwise, set `slides = ""`.
+slides: ""
+
+# Projects (optional).
+#   Associate this post with one or more of your projects.
+#   Simply enter your project's folder or file name without extension.
+#   E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
+#   Otherwise, set `projects = []`.
+projects:
+  - ATLAS
+---
+
+One can find the slides of the presentation [here](./slide_atlas.pdf).

static/uploads/Workshop_CalibrationNN_PELISSIER_DELSART.pdf renamed to content/event/altasworkshop/slide_atlas.pdf

@@ -29,16 +29,18 @@ url_video: ''
 #   Simply enter your slide deck's filename without extension.
 #   E.g. `slides = "example-slides"` references `content/slides/example-slides.md`.
 #   Otherwise, set `slides = ""`.
-#slides: example
+slides: ""
 ---
 
 {{< figure src="distribution.jpg" caption="Calibration Example: using neural network solution for ODE-based calibration function" numbered="false" >}}
 
 **Supervisor :** Pierre-Antoine Delsart, lecturer, ATLAS, LPSC, France.
 
+The results of this internship have been presented in a [workshop of the collaboration]({{< relref "/event/altasworkshop" >}}).
+
 The particle physics studied at the LHC by the ATLAS detector requires high-precision measurements.
 precision. The energy quantities associated with hadronic jet objects cannot be used directly from experimental measurements, and must be corrected in order to be compared with theoretical predictions.
-from experimental measurements, and must be corrected before they can be compared with theoretical predictions. This
-addresses this problem in the form of a nonlinear second-order differential equation on the calibration function
+from experimental measurements, and must be corrected before they can be compared with theoretical predictions. This addresses this problem in the form of a nonlinear second-order differential equation on the calibration function
 function, which has no analytical solution. A neural network is used to solve it. The aim is to
 is to obtain an accurate calibration function by exploiting the non-linear capabilities of neural networks.
+

content/project/ATLAS/index.md

@@ -20,6 +20,10 @@ links:
     icon_pack: fab
     name: Codes
     url: https://github.com/MatthieuPE
+  - icon: arxiv
+    icon_pack: brands
+    name: Paper
+    url: https://arxiv.org/abs/2412.08359
 url_code: ''
 url_pdf: ''
 url_slides: ''
@@ -32,13 +36,16 @@ url_video: ''
 #   Otherwise, set `slides = ""`.
 #slides: example
 ---
+
 {{< figure src="BHimage.jpg" caption="Model of a thick accretion disk around massive black holes, seen by an observer at infinity. The color refers to the synchrotron radiation produced with a vertical magnetic field." numbered="false" >}}
 
 
 
 **Supervisor :** Dr. Alexandra Veledina, post-doctoral fellow ,Tuorla observatory, University of Turku, Finland.
 
- The black holes are compact celestial objects whose mass can be several times that of the sun. The gravity exerted is such that, from a certain surface called the event horizon, nothing can escape, not even light, which explains their name. Although it may seem paradoxical, it is possible to observe them. These objects are surrounded by an accretion disc, whose constituent matter spins around the black hole to fractions of the speed of light. The disc emits light. This is what has enabled the Event Horizon Telescope Collaboration to obtain in 2019 the first image of a black hole, or more precisely the first image of a black hole accretion disc (see cover). 
+This project led to a [published paper in a journal]({{< relref "/publication/BH" >}}).
+
+The black holes are compact celestial objects whose mass can be several times that of the sun. The gravity exerted is such that, from a certain surface called the event horizon, nothing can escape, not even light, which explains their name. Although it may seem paradoxical, it is possible to observe them. These objects are surrounded by an accretion disc, whose constituent matter spins around the black hole to fractions of the speed of light. The disc emits light. This is what has enabled the Event Horizon Telescope Collaboration to obtain in 2019 the first image of a black hole, or more precisely the first image of a black hole accretion disc (see cover). 
 
 
 The study carried out during this internship concerns the modelling of radiation signature of matter near black hole, similar to that of M87* observed in 2019. To study a black hole theoretically, the most suitable tool is general relativity, considering gravity as a reason for deformation of space time. The framework used to study a massive, non-rotating spherical object is the Schwarzschild metric, which characterises the deformation of space-time caused by such an object. The light emanating from the accretion disc follows a trajectory to reach the observer. These paths are not simply straights lines as in the limit of flat space-time, but are curved and constitute geodesic lines. Calculation of photon paths can be done exactly via ray tracing, or  approximately via analytical methods. We thus obtain the image of the accretion disc perceived from different inclinations, by an observer placed at infinity.

content/project/accretiondisk/index.md

@@ -18,7 +18,7 @@ publishDate: '2024-12-01T00:00:00Z'
 # Legend: 0 = Uncategorized; 1 = Conference paper; 2 = Journal article;
 # 3 = Preprint / Working Paper; 4 = Report; 5 = Book; 6 = Book section;
 # 7 = Thesis; 8 = Patent
-publication_types: ['2']
+publication_types: 2
 
 # Publication name and optional abbreviated publication name.
 #publication:

content/publication/BH/index.md

@@ -109,6 +109,8 @@
       "border-neutral-300",
       "border-s",
       "border-slate-100",
+      "brands",
+      "brands-arxiv",
       "break-words",
       "chart",
       "chroma",
@@ -532,7 +534,7 @@
       "TableOfContents",
       "about-me",
       "callouts",
-      "chart-198657423",
+      "chart-761834295",
       "charts",
       "code",
       "crowd-funded-open-source-software",