Supplementary material The supplementary material is organized into three parts. In Section A, we experimentally demonstrate the separation of the polar and longitudinal procession Kerr signal. In Section B, we provide numerical calculation of A p and A l based on the two different thermal effects with different transient effect anisotropy fields. In Section C, we perform numerical simulations of the laser induced magnetization precession for the two different thermal effects with respective anisotropy recovery time scales, and confirm the two relationships between the precession amplitude and θoff . Section A: Method to separate the longitudinal and polar magnetization component In the main text, we had shown that the TRMOKE signal in our measurement is a combination of the contributions from the polar and longitudinal magnetization components. The reflected probe beam intensity at applied field H can be expressed as: I H Aml Bmp (1) where ml and m p represent the longitudinal and polar components of the magnetization, respectively, and the magneto-optical coefficients A and B depend on i and the refractive index and Voigt constants of the material. Under opposite magnetic fields, the probe light intensity becomes I -H Aml Bmp (2) The longitudinal and polar signals can be separated by performing TRMOKE measurements under reversed field directions: m l [I H I -H ] / 2A m p [I H I -H ] / 2B We confirm the separation method experimentally. (3) Fig. S1 (a) Typical TRMOKE signals under opposite magnetic fields, and (b)-(d) the separated polar, and longitudinal signals at different sample orientations θ s and field orientations θ H with a fixed angle between the field and the Fe<110> axis. All data were measured at H=1000 Oe. Figure S1 (a) shows the typical TRMOKE signals under H 1000 Oe . The major feature of the signal manifests as the periodic oscillations corresponding to the uniform magnetization precessions. The precession frequency remains the same under opposite fields as a result of the 4-fold symmetry. However, the precessions clearly show different amplitudes and phases. This is because the polar signals remain unchanged for reversed fields but the longitudinal signals are in opposite phase. We use Eq. (3) to separate the two signals, and the results are shown in Fig. S1 (b). A 4 phase shift between the polar and longitudinal signals can be clearly identified, consistent with the magnetization precession behavior. To confirm the validity of the method to separate the polar and longitudinal precession signals, we further performed measurements by rotating the sample to different orientations ( θ s ) while keeping the angle between the [110] axis and the field direction unchanged. Under such conditions, the directions of the effective anisotropy fields of the Fe film before and after the laser excitation rotate the same angle as that of the sample, whereas the magnitude of the effective fields remains unchanged. Thus, the excited precessions are identical if observed in the coordinate system rotating with the sample. We therefore expect that the polar signal remains unchanged for different sample orientations, and this is confirmed by our experimental results, as shown in Fig. S1. On the other hand, the longitudinal precession signal becomes smaller when the magnetization rotates closer to the horizontal plane, also in consistent with the experimental results. Hence, our experimentally confirm the successful separation of precession signals contributed from different magnetization components. Section B: Model calculation of A p and A l with two excitation mechanism under different transient anisotropy field H'4 . As shown in the main text, in lattice thermalization mechanism, the polar and longitudinal precession amplitude should follow as A p off R p θ off f and A l off R l off sin M , respectively. In electron thermalization model, the polar and the longitudinal precession amplitude should follow as Ap off f R p θoff f 2 , A l off f R l off f sin M , respectively. All the field direction dependent parameters off , f and sin M can be calculated based on two models, thus we can compare the A p (H ) and A l (H ) curves with the experimental results shown in Fig. 3 in main text, and judge which model can provide better results close to the experimental value. Moreover, we note that the H'4 value has great impact on the overall shape of the calculated A p and A l , so we also perform calculation to study whether H'4 value will influence the validation of our conclusion. Figures S2 (a)-(c) show the calculated A p θ H with different H'4 values by assuming the in-plane precession amplitude is proportional to off . Figures S2(d)-(f) show the calculated A p (H ) by assuming the in-plane precession amplitude proportional to θoff f , which is clearly inconsistent with the experimental results shown in Fig. 3 in main text. For example, the calculated precession amplitude at H=500 Oe always shows a dip behavior regardless of the H'4 value in Fig. S2 (d)-(f) , which doesn’t exist in the experimental results in main text. Fig. S2. The calculated θ H -dependent polar precession amplitude A p using (a-c) the slow recovery model, and (d-f) the rapid recovery model with different strengths of the reduced anisotropy field H'4 . So, our calculation can confirm that the laser-exited in-plane precession amplitude is proportional to θoff , thus we further draw the conclusion that only lattice thermalization model agrees with the experiment result. Section C: Numerical simulations of the magnetization precession for the two different thermal effectsto confirm the relationships between the precession amplitude and θoff . The ferromagnetic medium under interaction of an ultrafast laser pulse may undergo: (1) a highly nonequilibrium state with very hot electron temperature which persists a short time duration (<1 ps), or (2) a slightly delayed lattice thermalization which has typical recovery time of ~100 ps. Both heating effects may drive the magnetization precession, but they have different impacts on the precession amplitude. For the lattice thermal effect, the in-plane precession amplitude scales linearly with θoff [1] (referred as θoff model below), whereas for electron thermal effect, the in-plane precession amplitude is proportional to θoff f [2] (referred as θoff f model below). Here θoff is the in-plane tilting angle of the effective magnetic field caused by the pump laser pulse, and f is the precession frequency. Our experimental data strongly supports that the precession excitation mechanism in the Fe film is the lattice thermal effect. Here, we performed the numerical simulations of the laser induced magnetization precession for the two different thermal effects to confirm the above two relationships between the precession amplitude and θoff due to the different anisotropy recovery time scales. We performed numerical calculation to simulate the laser induced magnetization precession based on the Landau-Lifshitz-Gilbert (LLG) equation: dM M H eff M M H eff dt (4) where / Ms , and the effective field H eff contains the external field H, shape anisotropy field 4πMS , and the cubic crystalline magnetic anisotropy field H 4 . In the simulation, we used the Gilbert damping factor =0.003, the gyromagnetic ratio = 1.84 107 Hz Oe , and the static cubic anisotropy field H 4 =540Oe. In addition, under the pump laser pulse interaction, H 4 is instantly reduced to H'4 =500 Oe at the overlap time of the pump and probe pulses, and then exponentially recover to H 4 with the time constant Trec , as shown in Fig. S3. We set Trec =1ps for the electron thermal effect, and Trec =100ps for the lattice thermal effect. We neglected the ultrafast demagnetizationin the simulation since it is extremely small in Fe [3] compared to that in Ni [4]. And on the other hand, the demagnetization effect can be effectively included in the modulation of the anisotropy field. Figure S3 shows the simulated polar magnetization dynamics for Trec =1ps and Trec =100ps at H=800 Oe applied along θ H =20°. Here θ H is the angle between the applied field and the Fe [110] direction, according to Fig. 1 in the main article. In both cases, the precession periods are same, but clearly the precession amplitude is one order smaller for the case of Trec =1ps. Fig. S3 Simulated polar precession for (a) Trec =1ps and (b) Trec =100ps. Red lines indicate the time evolution of H 4 . Figure S4 shows the color contour of the polar magnetization component as a function of the field orientation and delay time with different field strength and Trec . Overall, the precessions show the increasing amplitude when H is rotated from the easy axis ( θ H 45 and 135 ) to the hard axis ( θ H 0 , 90 , and 180 ). However, for H=800 Oe, the amplitude shows a pronounced drop at field orientations nearly along the hard axis. Fig. S4. Field-orientation dependence of the simulated polar magnetization precession with different Trec and field H. We obtained the in-plane precession amplitude ( A / / ) and polar precession amplitude ( A p ) by fitting the simulated precession dynamical data in Fig. S4 through the Equ. (4) in main text, and the results are plot in Fig. S5. We compare them with the calculated θ H -dependent θoff and θoff f . Fig. S5(a) show the A / / and calculated θoff f for Trec =1 ps, and the θoff f curves are multiplied by a fixed factor for all the calculated curves with different applied fields. It is clear that the calculated A / / curve with the short recovery time Trec agree well with the θoff f model. Fig. S5(b) shows the A / / and calculated θoff for Trec =100 ps. It is clear that the calculated A / / curve with the long recovery time Trec agree quantitatively with the θoff model. The simulated polar precession amplitudes for Trec =1 ps and Trec =100 ps also show good agreement with the respective models after considering the polar/in-plane amplitude ratio R p , as can be seen in Figs. S5(c) and S5(d). Fig. S5 Field orientation dependence of precession amplitude of the simulated result. (a) in-plane amplitude for Trec =1ps, (b) in-plane amplitude for Trec =100ps, (c) polar amplitude for Trec =1ps, and (d) polar amplitude for Trec =100ps. The solid lines represent the calculated results according to θoff and θoff f models. To directly compare the two thermal excitation models, the in-plane precession amplitude obtained from the simulation for Trec =1ps and Trec =100ps at H=500 Oe are plotted as a function of θoff and θoff f in Fig. S6. The amplitude for Trec =1ps is magnified 30 times for better comparison. Clearly, we can see the linear dependence of the precession amplitude on θoff for Trec =100 ps and θoff f for Trec =1 ps. In contrast, the precession amplitude show a pronounced nonlinear dependence on θoff for Trec =1ps and on θoff f for Trec =100 ps. Through this comparison, we confirmed that for the lattice thermalization induced transient anisotropy field with slow recovery, the precession amplitude should be linearly proportional to θoff f ; whereas for the hot electron induced transient anisotropy field with rapid recovery, and the precession amplitude should linearly scale with θoff f . Fig. S6 Simulated in-plane precession amplitude for Trec =1ps and Trec =100 ps versus (a) θoff and (b) θoff f at H=500 Oe. Amplitude for Trec =1ps is multiplied by 30 for better comparison. Furthermore, we explored the applicable time range of the θoff model and the θoff f model. Figure S7 shows the Trec dependence of polar precession amplitude at H=800 Oe with different field directions. For Trec <10ps, a linear increase of amplitude with Trec can be observed, corresponding to the θoff f model. For Trec >50ps, the amplitude almost reaches its saturation value, corresponding to the θoff model. The transition occurs at Trec which is about a quarter of the precession period (T/4). In Fig. S7, the time position of T/4 is indicated by a small vertical arrow, where the precession amplitude reaches ~85% of its saturation value. Roughly speaking, for Trec <T/4, the precession amplitude is proportional to θoff f , and for Trec >T/4, the precession amplitude is just determined by θoff . Fig. S7 Polar precession amplitude A p as a function of Trec , under H=800 Oe and θ H =5°,15°,25°,35°, and 44°. The short vertical arrows denote the time positions of T/4. Through numerical stimulation using the LLG equation, we confirmed that the precession amplitude scales linearly with θoff for the slow anisotropy recovery, and it is proportional to θoff f for the fast anisotropy recovery. References: [1] Y. Liu, L. R. Shelford, V. V. Kruglyak, R. J. Hicken, Y. Sakuraba, M. Oogane, and Y. Ando, Phys. Rev. B 81, 094402 (2010). [2] A. A. Rzhevsky, B. B. Krichevtsov, D. E. Bürgler and C. M. Schneider, Phys. Rev. B 75,224434 (2007). [3] E. Carpene, E. Mancini, C. Dallera, M. Brenna, E. Puppin, and S. De Silvestri, Phys. Rev. B 78,174422 (2008). [4] E. Beaurepaire, J.-C. Merle, A. Daunois, and J.-Y. Bigot, Phys. Rev. Lett. 76, 4250 (1996).