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Author: ReddTea

docs/about.md

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+# About Me
+
+I'm an exoplanet researcher focused on detecting and characterising long-period giant planets by combining precision radial-velocities with astrometry. I develop Bayesian methods and open-source tools to make model selection and evidence estimation more reliable in challenging multi-modal posteriors.
+
+## Highlights
+
+I built [`reddemcee`](https://reddemcee.readthedocs.io/en/latest), an adaptive parallel-tempering MCMC sampler in Python with original implementations of temperature ladders, and next-gen Bayesian evidence estimation (including a novel hybrid method which combines the best of thermodynamical integration and the stepping-stones algorithm); and [`EMPEROR`](https://astroemperor.readthedocs.io/en/latest), a Python library for joint RV+astrometry orbit fitting (multi-instrument offsets and jitters, GP noise models, stellar activity indices, etc). On the observational side, I've led and analysed programs on CORALIE and worked with HARPS data, extending the CHEPS sample to uncover Jupiter analogues (using combined RV and Hipparcos/Gaia data). 
+
+## Methods
+Computationally, I specialise in APT MCMC, evidence-driven model comparison, and stellar activity noise modelling. 
+
+Data-wise, my expertise lays in high-precision radial velocities and astrometry data.
+
+## Now seeking
+Currently looking for postdoctoral positions where I can combine algorithm development with bulk data analysis (in preparation Gaia DR4/Roman/PLATO), to tackle down on important exoplanet population questions, like how common true Jupiter analogues are, to answer exoplanet formation questions, like how outer giants help shaping the inner architecture of stellar systems.
+
+
+## Relevant Links
+
+=== "Pip installable libraries"
+    * [GitHub](https://github.com/ReddTea)
+    * [`reddemcee`](https://github.com/ReddTea/reddemcee)
+    * [`EMPEROR`](https://github.com/ReddTea/astroemperor)
+    * [Astronomy Utilities](https://github.com/ReddTea/reddutils)
+    * [kepler solver in C](https://github.com/ReddTea/fast_kepler)
+
+=== "Documentation"
+    * [`reddemcee`](https://reddemcee.readthedocs.io/en/latest)
+    * [`EMPEROR`](https://astroemperor.readthedocs.io/en/latest)
+
+=== "Publications"
+    * [`ORCID`](https://orcid.org/my-orcid?orcid=0000-0002-8770-4398)
+    * [`ADS`](https://ui.adsabs.harvard.edu/user/libraries/Uj9qAAVWSzS_Z9ulrRovZQ)
+
+

docs/emperor.md

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+[`EMPEROR`](https://astroemperor.readthedocs.io/en/latest) (Exoplanet Mcmc Parallel tEmpering for Rv Orbit Retrieval), is an open-source Python-based framework designed for the efficient detection and characterisation of exoplanets by using radial velocity (RV) methods and astrometry.
+
+Its combination of performance, flexibility, and ease of use makes it a robust tool for any exoplanet detection endeavour. `EMPEROR` integrates Dynamic Nested Sampling (DNS) and Adaptive Parallel Tempering (APT) Markov Chain Monte Carlo (MCMC), supporting multiple noise models such as Gaussian Processes (GPs) and Moving Averages (MA). The framework facilitates systematic model comparison using statistical metrics, including Bayesian evidence and Bayes Information Criterion (BIC), while providing automated, publish-ready visualisations.
+
+The code is easy to install and easy to use, providing full publication-ready plots and copy-pastable latex tables:
+
+```python
+
+import astroemperor as emp
+import numpy as np
+np.random.seed(1234)
+
+sim = emp.Simulation()
+sim.load_data('51Peg')  # folder read from /datafiles/
+
+sim.engine_config['setup'] = [10, 500, 3000, 1]  # ntemps, nwalkers, nsweeps, nsteps
+
+sim.add_condition(['Period 1', 'limits', [3, 5]])  # short chain
+```
+
+Some Automatic Plots:
+=== "Best Fit"
+    Full model, and phase-folded per planet
+    ![Best Fit](img/emperor/model/k1.png)
+=== "Arviz: Trace and More"
+    For every model block:
+    === "Corner"
+        ![Corner](img/emperor/trace/corner_kep.png)
+    === "Trace"
+        ![Trace](img/emperor/trace/trace_kep.png)
+    === "HDI Intervals"
+        ![hdi-intervals](img/emperor/trace/hdi_off.png)
+    === "Normalised Posteriors"
+        ![norm-post](img/emperor/trace/normpost_amp.png)
+
+
+=== "Posteriors"
+    For every model block, and temperature:
+    === "Scatter"
+        ![Posteriors1](img/emperor/posteriors/scatter_kep_t0.png)
+    === "Higher temperatures!"
+        ![Posteriors2](img/emperor/posteriors/scatter_kep_t8.png)
+    === "Different styles 1"
+        ![Posteriors3](img/emperor/posteriors/gau_offset_t0.png)
+    === "Different styles 1"
+        ![Posteriors4](img/emperor/posteriors/hex_offset_t0.png)
+            
+=== "Estimates"
+    For every parameter:
+    === "GME"
+        ![GME](img/emperor/gm/kep_amp.png)
+    === "Histograms"
+        ![histo](img/emperor/histograms/OffsetBlock.png)
+
+
+=== "Temperature Ladder"
+    === "Swap Acceptance"
+        ![temp_rates](img/emperor/betas/rates.png)
+    === "Ladder"
+        ![temp_ladder](img/emperor/betas/beta_ladder.png)
+    === "Density"
+        ![temp_dens](img/emperor/betas/density.png)