LESCO Charge excitation intensity difference

Generated on: 2026-03-20 11:43:09

Introduction

The data we used in this report is obtained from a RIXS experiment on La1.675Eu0.2Sr0.125CuO4. The data have been pre-processed: (1) The spectra are fitted using a 4-gaussian-1-background model, and the elastic signal has been subtracted. (2) intensities are normalized to dd excitations. (3) spectra are shifted so that the elastic peak is located at zero energy loss.

The post-processed RIXS intensities from 0 to 100 meV consists of three components: (1) charge order excitations contribution around 20 meV and disperses up; (2) an acoustic phonon (bond-buckling) mode at around 50 meV; (3) another acoustic phonon (bond-stretching) mode at around 70-90 meV. There could be other unknown contributions of course, but to simplify the analysis, we can assume the charge excitations and the phonon signals dominate

where $T$ is the temperature, $q$ is the momentum transfer, and $\omega$ is the energy loss. Judging from the data, the charge excitations dominates at around H = 0.24 r.l.u., while at H = 0.15 r.l.u. it starts to fade away. Due to the nature of RIXS, the intensity is usually not characterized by the susceptibility. But for now the suceptibility could probably be an approximation.

If we study the temperature dependence of the phonon siganl, we know that it barely depends on the temperature. In RIXS process, the intensity of the phonon is proportional to the Bose factor $(1 - e^{-E/T})$, where in our case $E \geq 50$ meV (about 500 K). In this case, the Bose factor changes by less than $1\%$ going from 21K to 155K, which is effectively negligible. Therefore, we can assume that the temperature dependence only comes from the charge excitations.

A possible pitfall due to data analysis: We subtracted the elastic signal in the preprocess, but this subtraction is not perfect, leading to under or over subtraction. Therefore, the at low energy (lower than the resolution, roughly 20 meV), should be dealt with carefully.

In this report, we use the intensity at 155 K as a benchmark, subtract the intensity at other temperatures from it, and study the intensity difference.

Because phonon intensity varies only marginally between 21 K and 155 K in this energy range, the subtraction largely cancels the phonon background, so the residual signal is expected to highlight mainly the temperature-dependent charge-excitation contribution.

Intensity Maps

This section shows the intensity maps at 21K, 62K, 104K, and 155K, with elastic signal subtracted.

Figures

Combined map: intensity at 21K, 62K, 104K, and 155K.

Subplot: intensity map at 21K.

Subplot: intensity map at 62K.

Subplot: intensity map at 104K.

Subplot: intensity map at 155K.

Intensity Difference Maps

This section shows the intensity difference maps I(21K)-I(155K), I(62K)-I(155K), and I(104K)-I(155K) in momentum-energy space.

Figures

Combined three-panel temperature-difference inset map.

Subplot: I(21K)-I(155K).

Subplot: I(62K)-I(155K).

Subplot: I(104K)-I(155K).

1D Cuts

This section shows 1D cuts of intensity difference versus energy loss. Each line corresponds to one H value and is color-coded by (H - 0.24).

Figures

Combined 1D cuts across 21K, 62K, and 104K (all relative to 155K).

Subplot: 1D cuts for 21K-155K.

Subplot: 1D cuts for 62K-155K.

Subplot: 1D cuts for 104K-155K.

Energy-Integrated Analysis

This section summarizes integrated intensity differences (energy loss > 10 meV): left panel versus (H - 0.24), right panel versus temperature at selected H values.

Figures

Combined energy-integrated analysis (two axes).

Subplot axis 1: integrated difference vs (H - 0.24).

Subplot axis 2: selected H trends vs temperature.

Note on the files

The workflow follows the Figure 4 logic in zenodo_data/figure4.py, implemented in standalone scripts under susceptibility/.

Data flow: 1. Load data/processed_exp.pkl. 2. Build temperature-difference maps from exp.Interpolated_subtracted_realigned_interesting_data. 3. Derive 1D cuts and energy-integrated observables from these maps. 4. Save all outputs as .jpg under susceptibility/figures/.

Parameter Value
primary_data data/processed_exp.pkl
figure_folder /Users/hongxunyang/Library/CloudStorage/OneDrive-Personal/1UZH/2Projects/lesco_project_codes/susceptibility/figures
scripts_folder /Users/hongxunyang/Library/CloudStorage/OneDrive-Personal/1UZH/2Projects/lesco_project_codes/susceptibility